Skip to main content
PeerJ logoLink to PeerJ
. 2026 Jul 7;14:e21374. doi: 10.7717/peerj.21374

A systematic review of locust phase polyphenism: from proximate mechanisms to ecology and management

Diriba Fufa Serdo 1,2,, Zoltán Németh 1
Editor: Tony Robillard
PMCID: PMC13353236  PMID: 42433389

Abstract

Locust phase polyphenism is a remarkable example of phenotypic plasticity, driven by population density to produce a dramatic shift between cryptic, solitarious and swarming, gregarious phenotypes. Despite over a century of research, the evidence base lacks systematic synthesis. We conducted a systematic review of 400 studies on locust phase polyphenism, integrating evidence across ecological, neurobiological, physiological, molecular, epigenetic, and microbial drivers. The results revealed that the evidence base is constrained by two critical limitations. First, severe taxonomic narrowness: 93.8% of studies focus on at least one of two model species (desert locust, Schistocerca gregaria and migratory locust, Locusta migratoria), with only 6.2% examining other locust species exclusively. Second, profound methodological disconnect: 84.5% of studies are laboratory-based, while field-only (6.0%) and integrated field-laboratory studies (6.2%) together constitute only 12.2% of the literature. Within this paradigm, mechanistic research has successfully mapped proximate pathways from tactile stimulation and serotonin/dopamine signaling to transcriptomic reprogramming and epigenetic regulation. However, direct species comparisons reveal fundamental divergence rather than conservation, challenging assumptions of universal mechanisms. Laboratory-derived pathways remain poorly integrated with field ecology—vegetation structure, nutritional geography, and climate dynamics—creating a translational impasse for predictive management. Emerging areas such as microbiome dynamics and transgenerational epigenetics require causal validation under ecologically relevant conditions. Reliance on the current narrow paradigm fundamentally limits both biological understanding and practical application. We propose a future research prioritizing: (1) phylogenetically broad comparative multi-omics to distinguish conserved cores from lineage-specific adaptations; (2) integrated field-laboratory experiments incorporating climate and landscape heterogeneity; (3) causal validation of emerging regulators in ecologically relevant contexts; and (4) translation of comparative insights into species-specific management tools through equitable partnerships with researchers and practitioners in outbreak-affected regions. Such integration is essential for developing predictive, sustainable management strategies in an era of global change.

Keywords: Climate change, Field-laboratory integration, Gut microbiome, Locust phase change, Molecular mechanisms, Phase polyphenism, Phenotypic plasticity, Systematic review

Introduction

Locusts (Orthoptera: Acrididae) exhibit a remarkable form of density-dependent phase polyphenism, transitioning dramatically between solitarious and gregarious phases in response to changes in population density (Uvarov, 1966; Pener & Simpson, 2009; Cullen et al., 2017). This polyphenism encompasses coordinated changes in behavior, morphology, physiology, neurobiology, chemical ecology, gene expression, and life history traits, ultimately scaling to population-level ecological dynamics (Simpson & Sword, 2008; Pener & Simpson, 2009; Guo & Kang, 2025). Solitarious locusts are cryptic, sedentary, and avoid conspecifics, whereas gregarious locusts are conspicuous, highly active, and strongly attracted to one another (Roessingh, Simpson & James, 1993; Gray et al., 2009; Pener & Simpson, 2009; Pocco et al., 2019). These gregarious locusts form massive migratory swarms capable of covering extensive geographical areas, decimating crops and often causing significant economic damage and food insecurity (Cullen et al., 2017; Zhang et al., 2019).

Consequently, understanding locust phase polyphenism is not merely a fundamental biological question but a critical prerequisite for developing proactive, predictive, and sustainable management strategies to safeguard global food security. Yet, effective prediction and intervention remain elusive, in part because the switch from solitary to gregarious behavior undermines traditional control tactics (Sword, Lecoq & Simpson, 2010). Beyond their impact as agricultural pests, locusts serve as a model system for studying phenotypic plasticity—the capacity of a single genotype to produce different phenotypes in response to the changing environment (West-Eberhard, 2003; Pfennig et al., 2010; Simpson, Sword & Lo, 2011). Their reversible phenotypic shifts provide critical insights into epigenetic regulation, neural modulation, hormonal control, and the evolution of complex traits (Ott & Rogers, 2010; Burrows, Rogers & Ott, 2011; Ernst et al., 2015). The urgency of locust phase polyphenism research has intensified with global change, as climate and land-use shifts may alter the geographic distribution, frequency, and dynamics of locust outbreaks (Zhang et al., 2019; Kimathi et al., 2020; Peng et al., 2020; Tang et al., 2023; Youngblood et al., 2023; Hosni et al., 2024; Mamo, Kinyanjui & Siewe, 2025). Over a century of research has generated a rich, multidisciplinary body of literature. Numerous narrative reviews have provided invaluable syntheses of locust phase polyphenism, integrating knowledge across its many facets (Kennedy, 1956; Pener, 1991; Pener & Yerushalmi, 1998; Simpson, McCaffery & HÄgele, 1999; Simpson, Sword & De Loof, 2005; Tanaka, 2006; De Loof et al., 2006; Simpson & Sword, 2009; Verlinden et al., 2009; Pener & Simpson, 2009; Sword, Lecoq & Simpson, 2010; Burrows, Rogers & Ott, 2011; Song, 2011; Tawfik, 2012; Wang & Kang, 2014; Ernst et al., 2015; Cullen et al., 2017; Ayali, 2019; Pflüger & Bräunig, 2021; Guo & Kang, 2025).

However, while previous reviews have provided invaluable narrative syntheses—and we gratefully acknowledge their foundational role in shaping our understanding—a systematic synthesis of the entire evidence base and its inherent biases and gaps has never been conducted. The present study addresses this fundamental gap by conducting the first systematic review of locust phase polyphenism. Our primary objectives are to: (1) quantify the taxonomic, methodological, and thematic composition of the literature; (2) identify critical evidence gaps and biases that constrain both biological understanding and translational application. Through this approach, we aim to provide a definitive, evidence-based roadmap to guide future interdisciplinary research and translate fundamental insight into more predictive, sustainable strategies for locust management.

Methodology

Literature search strategies

A systematic literature search was conducted following the PRISMA 2020 guidelines (Page et al., 2021). The search was conducted across three databases: PubMed, Web of Science Core Collection, and Scopus, covering all publications from 1921 through February 2025. The search strategy employed comprehensive nested Boolean operators, combining three core term categories following systematic approach to search strategy development (Bramer et al., 2018). These terms included: population terms (“locust” OR “Schistocerca” OR “Locusta migratoria” OR “Nomadacris” OR “Chortoicetes” OR “Austracris”), phenomenon terms; (“phase polyphenism” OR “phase polymorphism” OR “phase change” OR “phase transition” OR “phenotypic plasticity” OR “density-dependent” OR “gregari” OR “solitar”, “phase characteristic”), and; trait/outcome terms (“behavi” OR “morphometr” OR, “colo” OR “pheromone” OR “juvenile hormone” OR “corazonin” OR “serotonin” OR “transcriptom” OR “microbiome”). Search strings were adapted for each database’s specific syntax and controlled vocabularies. The exact search terms applied to each database are provided (File S1). Search results were restricted to studies published in English due to resource constraints. To identify additional records, backward and forward citation tracking was performed on key seminal articles identified during the initial search.

Eligibility criteria

Studies were assessed against pre-defined eligibility criteria. Eligible studies included all locust species documented to exhibit density-dependent phase polyphenism. Eligible interventions or exposures encompassed any condition that alters or defines phase state, including but not limited to crowding, sensory stimulation, hormonal application, genetic or epigenetic manipulations, or dietary change. A required comparator was a control or contrasting group essential for defining phase differences, such as gregarious (crowded) vs. solitarious (isolated). Eligible outcomes included any measurable phase-related trait across behavioral, morphological, physiological, molecular, epigenetic, microbial, and life-history, and theoretical categories. Eligible study designs were primary research articles, including laboratory experiments, field experiments, and observational cohort studies. Theoretical models and simulations were included only if they tested hypotheses against primary empirical data. Narrative reviews, editorials, opinion pieces, and studies lacking primary data were excluded. Furthermore, primary studies on locusts that did not investigate phase-related traits or incorporate a density-dependent component as a central variable were excluded.

Study selection, data extraction and risk of bias assessment

Following duplicate removal using Mendeley Reference Manager, two reviewers (D.F.S. and Z.N.) independently screened titles and abstracts, then full texts of potentially eligible records, with disagreements resolved through discussion. A standardized data extraction form was piloted in Excel and refined, after which data from all included studies were extracted by one reviewer and independently verified by the second. Extracted items included bibliometric data (authors, publication year, journal, country), study characteristics (locust species, life stage, primary research focus), methodological classification (laboratory-only, field-only, integrated field-laboratory, modeling, phylogenetic), and substantive findings for narrative synthesis. All extracted data were recorded in Excel for quantitative analysis. Risk of bias was appraised independently by both reviewers using the SYRCLE tool (Chen et al., 2014) for laboratory experiments and a customized framework for modeling studies—assessing transparency of model structure, input parameters, calibration, validation, and sensitivity analysis—with each study assigned a summary rating (low, moderate, or high) and disagreements resolved through discussion.

Data synthesis methods

Due to anticipated heterogeneity in locust species, study designs, interventions, and outcome measures across the included studies, a quantitative meta-analysis was deemed inappropriate a priori. Therefore, we conducted a structured narrative synthesis following the Synthesis Without Meta-analysis reporting guideline. We conducted a qualitative assessment of risk of reporting bias due to missing results for each major synthesis. Given the methodological heterogeneity, statistical tests for asymmetry (e.g., funnel plots) were not feasible. Instead, the assessment was based on a qualitative evaluation of the literature landscape, where we examined the direction and consistency of effects, explored sources of heterogeneity (including risk of bias), and identified evidence gaps within each thematic area.

Results

Literature search and screening outcomes

The systematic literature search yielded 2,011 records. Following removal of duplicates (n = 682), 1,329 records proceeded to title and abstract screening, where 847 were excluded for not meeting preliminary eligibility criteria. The full texts of the remaining 482 records were obtained and evaluated, resulting in the exclusion of 164 records due to reasons such as lack of phase polyphenism focus, absence of a suitable comparator, or non-primary research design. Citation tracking of key seminal studies yielded an additional 82 studies, all of which passed the same two-stage screening process and were deemed eligible (Fig. 1). Consequently, the final synthesis comprised 400 unique primary studies investigating locust phase polyphenism, spanning from 1921 through February 2025 (see File S2 for the complete list).

Figure 1. PRISMA flow diagram illustrating the systematic literature search and screening process.

Figure 1

The four-stage process (identification, screening, eligibility, and inclusion) from the initial database search, and cross referencing to the final studies included in the bibliometric dataset.

Characteristics of included studies

The 400 included studies exhibit substantial heterogeneity in species focus and methodology. Desert locust (Schistocerca gregaria) was the primary focus, appearing in 253 studies (63.2%), with 213 studies (53.2%) examining this species exclusively. Migratory locust (Locusta migratoria) was studied in 162 studies (40.5%), with 122 studies (30.5%) focusing solely on this species. Comparative studies examining both species together comprised 40 studies (10.0%). Combined, 375 studies (93.8%) involved at least one of these two model species. Only 25 studies (6.2%) focused exclusively on other locust species, including Australian plague locust (Chortoicetes terminifera) (Farrow, 1982; Gray et al., 2009; Cullen et al., 2010; Chapuis et al., 2011b, 2011a; Buhl et al., 2011; Cullen, Sword & Simpson, 2012; Robertson, Cease & Simpson, 2019), red locust (Nomadacris septemfasciata) (Michelmore & Allan, 1934; Pener, 1968; Dean, 1968; Franc et al., 2005; Lecoq, Chamouine & Luong-Skovmand, 2011; Bam, Conlong & Addison, 2024), South American locust (Schistocerca cancellate) (Pocco et al., 2019; Cease et al., 2023), the spur-throated locust (Austracris guttulosa) (Farrow, 1977; Elder, 1996), Central American locust (Schistocerca piceifrons) (Stahr & Seidelmann, 2016; Foquet & Song, 2021; Foquet, Castellanos & Song, 2021; Foquet et al., 2022), and Mongolian Locust (Oedaleus asiaticus) (Cease et al., 2010, 2017; Guo et al., 2022). Methodologically, laboratory-only studies accounted for 339 studies (84.8%). Field-only studies comprised 24 studies (6.0%). Studies combining both field and laboratory approaches represented 25 studies (6.2%), bringing the total with any field component to 49 studies (12.2%). Theoretical and modeling approaches accounted for nine studies (2.2%), with an additional three studies (0.8%) using phylogenetic methods (Fig. 2).

Figure 2. Taxonomic and methodological distribution of the 400 included studies.

Figure 2

(A) Species focus showing strong bias toward S. gregaria (63.2%, n = 253) and L. migratoria (40.5%, n = 162), with only 6.2% (n = 25) examining other locust species. (B) Research approaches revealing predominance of laboratory-only studies (84.8%, n = 339), followed by field-only (6.0%, n = 24), combined field-lab (6.2%, n = 25), modeling (2.2%, n = 9), and phylogenetic approaches (0.8%, n = 3).

Risk of bias within studies

The interpretation of findings on locust phase polyphenism must be considered in light of the methodological quality of the underlying studies. A risk of bias assessment was performed on all 400 included research articles, classifying each as “Low,” “Moderate,” or “High” risk based on study design, methodology, and reporting. The distribution of these classifications reveals distinct patterns related to study type and era of publication. The evidence base is dominated by studies with a “Low” risk of bias, which constitute the clear majority of the included literature. These are primarily modern laboratory experiments employing well-controlled, replicable designs, and include the landmark studies.

Studies assessed as having a “Moderate” risk of bias form a substantial minority. This category is characterized by two primary factors. First, it includes a large number of historically significant studies from the mid-20th century. While pioneering for their time, these studies often lack the rigorous reporting standards expected today, such as detailed accounts of randomization, blinding, or statistical power analysis. Second, the “Moderate” category encompasses most field studies and some correlational laboratory work. The inherent challenges of controlling environmental confounders in field settings contribute to this classification, even when modern statistical methods are employed. A clear temporal trend is evident in the data: the proportion of “Low” risk studies has increased markedly over time. Research published from the 1990s onward predominantly meets modern standards for “Low” risk of bias, reflecting the widespread adoption of more rigorous experimental designs and analytical techniques. This temporal pattern indicates a field that has progressively strengthened its methodological foundations.

Thematic synthesis

Analysis of the literature from the 1920s to 2025 reveals clear shifts in research themes, moving from descriptive natural history toward mechanistic molecular biology and, most recently, toward integrative, ecologically-grounded functional genomics. The foundational period (1920s to 1960s) established phase theory (Uvarov, 1921), behavioral foundations (Ellis, 1959a, 1959b, 1964; Ellis & Carlisle, 1961; Norris, 1962, 1963, 1964; Norris & Richards, 1970), morphometric phase indicators (Dirsh, 1951), transgenerational effects (Albrecht, 1957; Albrecht, Verdier & Blackith, 1959), and abiotic influences (Faure, 1932). The physiological and neuroethological regulation era (1970s to 2000s) focused on endocrine control and neuro-sensory processing, including reproductive diapause (Tanaka, Hakomori & Hasegawa, 1993), discovery of [His⁷]-corazonin (Tanaka & Pener, 1994; Tawfik et al., 1999), juvenile hormone regulation (Applebaum, Avisar & Heifetz, 1997), the neuroethological framework linking sensory stimuli to behavioral change (Simpson et al., 2001; Rogers et al., 2003), and characterization of aggregation pheromones (Fuzeau-Braesch et al., 1988; Torto et al., 1994, 1996; Njagi et al., 1996).

The molecular turn (2000s to 2015) ascended to genomics, transcriptomics, and epigenetics, including genomic resources (Kang et al., 2004), neuropeptide discovery (Clynen et al., 2002), receptor deorphanization (Verlinden et al., 2010), transcriptomic profiling (Chen et al., 2010), DNA methylation (Robinson et al., 2011; Falckenhayn et al., 2013), microRNA regulation (Wei et al., 2009), and serotonin/dopamine pathways (Rogers et al., 2004; Anstey et al., 2009; Ma et al., 2011), and the first phylogenetic analyses of phase polyphenism evolution (Song, 2005; Song & Wenzel, 2008). The integrative synthesis period (2015 to 2025) applies molecular approaches to higher-level questions through functional genomics, host-microbiota interactions, and integrative ecology, featuring gene editing validation (Li et al., 2016; Guo et al., 2020b), pheromone discovery (Guo et al., 2020b; Chang et al., 2023a), microbiome analysis (Lavy et al., 2019), nutritional geography (Cease et al., 2010, 2017), quantitative field ecology (Cisse et al., 2013; Cissé et al., 2016; Maeno, Piou & Ghaout, 2020), comparative transcriptomics demonstrating species-specificity (Yang et al., 2019a; Bakkali et al., 2024), and expanded evolutionary analyses integrating genomic and phenotypic data across multiple locust species (Song et al., 2017; Foquet, Castellanos & Song, 2021). Throughout these shifts, earlier research themes have persisted as essential context, but the frontier of discovery has moved decisively upward through successive levels of biological organization. The following sections synthesize the evidence according to this hierarchical framework, organizing studies by their primary level of analysis—from ecology through molecular regulation to emerging areas—while acknowledging that many studies bridge multiple levels.

Ecological triggers: density, resources, and environmental cues

Population density is the primary and most direct trigger for phase change (Uvarov & Hamilton, 1936; Ellis, 1959a; Simpson et al., 2001; Buhl et al., 2006). However, this density threshold is not fixed; rather, it is critically modulated by the spatial and nutritional structure of the environment. Clumped vegetation forces aggregation and lowers gregarization thresholds (Bouaïchi, Simpson & Roessingh, 1996; Collett et al., 1998; Despland & Simpson, 2000; Babah & Sword, 2004; Cisse et al., 2013, 2015a). Fractal analysis has demonstrated that vegetation clumping increases locust crowding and promotes gregarization across multiple spatial scales (Despland, 2003), while satellite-based studies have confirmed that landscape structure influences outbreak dynamics through its effects on resource abundance and fragmentation (Despland, Rosenberg & Simpson, 2004). Foraging models further support these findings, showing that food availability can lower the density requirements for group formation (Georgiou et al., 2021). Field studies have made particularly important contributions to understanding gregarization thresholds in natural populations. Research has established critical hopper densities of approximately 2.45 hoppers per square meter for observing gregarious individuals under field conditions (Cisse et al., 2013, 2015b), and has demonstrated that vegetation structure strongly influences these density thresholds (Cisse et al., 2013). A predictive model integrating adult density, vegetation status, and cover achieved 93.8% accuracy for phase prediction (Cissé et al., 2016), while recent work on L. migratoria has quantified behavioral phase differences through spatial distribution patterns in the field (Cissé et al., 2024).

Nutritional state further fine-tunes the density response. Protein-deficient diets increase movement and activity (Van der Zee, Behmer & Simpson, 2002; Bazazi et al., 2011; Cease et al., 2023), with low-protein availability increasing cannibalism-driven social interactions and thereby lowering the critical density for swarm formation (Bazazi et al., 2011). Nutritional geography research revealed that nitrogen-deficient soils promote protein-seeking behavior driving gregarization (Cease et al., 2010, 2017). However, the specific nutritional limitations vary among species: in S. cancellata, marching bands are carbohydrate-limited rather than protein-limited (Cease et al., 2023). Low-quality food can also increase extra molts and shift morphometrics toward gregarious traits (Maeno & Tanaka, 2011). Phase-specific differences in nutritional physiology are evident: gregarious nymphs overeat unbalanced diets and survive less well on poor foods (Simpson et al., 2002), whereas solitarious nymphs show greater food fidelity under nutritional challenge (Van der Zee, Behmer & Simpson, 2002).

Superimposed on these local ecological factors are broader climatic drivers that synchronize population dynamics over large geographic scales. Long-term dynamics are synchronized by climatic factors like rainfall, while abiotic cues such as humidity, temperature, substrate directly modulate phase-specific coloration (Faure, 1932; Dadd, 1961; Ellis, 1964; Tanaka, 2003; Maeno & Tanaka, 2007; Tanaka, Harano & Nishide, 2012; Nishide, Tanaka & Saeki, 2015; Ben Hamouda & Tanaka, 2016; Nishide, Suzuki & Tanaka, 2017; Sugahara & Tanaka, 2018). Temperature strongly affects melanin pigmentation and morphometric ratios (Dudley, 1964), and both egg temperature and moisture influence hatchling characteristics (Ben Hamouda & Tanaka, 2016). Mathematical models have identified temperature as a critical driver of population dynamics (Mamo, Kinyanjui & Siewe, 2025). Notably, species-specific hatching times are regulated by temperature, with phase effects present in S. gregaria but absent in L. migratoria (Nishide, Tanaka & Saeki, 2015; Nishide, Suzuki & Tanaka, 2017).

The adaptive significance of density-dependent responses extends beyond immediate behavioral and physiological adjustments to encompass shifts in survival strategies. Density-dependent color change functions as aposematic warning when locusts consume toxic plants (Sword et al., 2000), rather than serving as an intraspecific visual cue (Sword & Simpson, 2000). Solitarious nymphs avoid toxic plants while gregarious accept them, reflecting different antipredator strategies (Despland & Simpson, 2005a, 2005b). Theoretical models propose that clumped distributions disrupt predator efficiency (Reynolds et al., 2009), and provide density-dependent prophylaxis, enhancing pathogen resistance in crowded populations (Wilson et al., 2002; Elliot et al., 2003, 2005; Wang et al., 2013, 2022). Cannibalism risk has also been proposed as a selective force driving the evolution of behavioral polyphenism itself (Guttal et al., 2012).

These ecological pressures—resource distribution, nutritional stress, climatic variation, and predation risk—do not merely trigger immediate phase changes but also exert sustained selective forces that shape the genetic architecture of populations over evolutionary time. Population genetic studies have revealed that outbreaking populations exhibit stronger parental density-dependent phase change than non-outbreaking populations, demonstrating genetic variation for gregarization propensity (Chapuis et al., 2008). Parental crowding induces trans-generational effects on reproductive timing and offspring size (Chapuis et al., 2010), further indicating that phase-related traits have a genetic basis that can respond to selection. Recession (solitarious) populations retain genetic divergence and are not homogenized by past gregarious swarms, suggesting that solitarization of swarms may be limited (Ibrahim, Sourrouille & Hewitt, 2000; Ibrahim, 2001). Simulated population turnover during recession periods can maintain genetic structure despite mixing during plagues (Ibrahim, 2001), indicating that the ecological conditions prevailing during recessions may be as important as those during outbreaks in shaping population genetic structure.

Sensory initiation and neurobiological reprogramming

The rapid behavioral switch is initiated by tactile stimulation, though the key body regions vary by species: hind femur in S. gregaria (Hägele et al., 2000; Simpson et al., 2001; Rogers et al., 2003) vs. antennal contact in C. terminifera (Cullen et al., 2010). Visual and olfactory cues play modulatory roles (Ellis, 1959b, 1963a; Ellis & Pearce, 1962; Heifetz, Voet & Applebaum, 1996; Roessingh, Bouaïchi & Simpson, 1998; Despland, 2001; Lester et al., 2005; Tanaka, Harano & Nishide, 2012; Tanaka et al., 2016). Solitarious locusts possess approximately 30% more tactile hairs on the hind femur than gregarious locusts (Rogers et al., 2003). In S. gregaria, antennal tactile stimuli are necessary for maternal gregarization effects (Maeno, Tanaka & Harano, 2011).

Central nervous system processing shows distinct phase-specific patterns. Neurophysiological studies of the antennal lobe reveal that solitary nymphs have more responsive neurons with greater sensitivity to pheromone components (Anton & Hansson, 1996; Ignell, Anton & Hansson, 1998, 1999; Ochieng, Hallberg & Hansson, 1998; Ochieng’ & Hansson, 1999; Anton, Ignell & Hansson, 2002). Females have more specialist neurons, while males have more generalist neurons (Anton & Hansson, 1996). Solitary-reared adults possess more olfactory sensilla than crowd-reared adults (Ochieng, Hallberg & Hansson, 1998; Ochieng’ & Hansson, 1999). No anatomical differences exist in the antennal lobe, but physiological responses differ (Anton, Ignell & Hansson, 2002). Detailed studies of olfactory pathways have elucidated peripheral and central mechanisms mediating pheromone detection (Chang et al., 2023a, 2023b; Lehmann et al., 2024). Most locust odorant receptors are narrowly tuned, and odorant valence depends on phase, stage, and sex (Chang et al., 2023b). Sensory neuron membrane protein 1 (SNMP1) is critical for sensitive Phenylacetonitrile (PAN) detection (Lehmann et al., 2024). Gregarious locusts show synergistic olfactory processing of food and social odors (Petelski et al., 2024).

The neurochemical cascade executing this transformation reveals marked differences between model species. In S. gregaria, serotonin is necessary and sufficient for the rapid behavioral switch (Anstey et al., 2009; Rogers et al., 2014; Rogers & Ott, 2015), increasing nine-fold in thoracic ganglia within 4 h of crowding (Rogers et al., 2004). Different serotonergic neuron subsets mediate acute vs. long-term gregarization (Rogers & Ott, 2015). In L. migratoria, by contrast, serotonin modulates the transition rate but enhances solitariness rather than driving gregarization (Ma et al., 2011; Guo, Ma & Kang, 2013). A dopamine-octopamine-tyramine axis regulates the long-term behavioral state across species (Rogers et al., 2004; Alessi et al., 2014; Ma et al., 2015; Guo, Ma & Kang, 2015; Guo et al., 2018; Ma, Liu & Guo, 2019; Ma, Guo & Liu, 2020). Dopamine injection induces gregarization (Ma et al., 2011), with dopamine receptor 1 (Dop1) promoting gregariousness and dopamine receptor 2 (Dop2) promoting solitariness (Guo, Ma & Kang, 2015). Dop1 inhibits microRNA-9a (miR-9a) maturation, relieving repression of adenylyl cyclase 2 (AC2) to regulate olfactory attraction underlying aggregation (Guo et al., 2018). Isolation increases dopamine and serotonin while reducing octopamine, and dopamine injection induces solitarious-like behavior (Alessi et al., 2014). Dopamine sulfation promotes gregarious behavior and is conserved across species (Chen et al., 2022b). Octopamine receptor α (OARα) mediates attraction while tyramine-TAR mediates repulsion (Ma et al., 2015).

Octopamine receptor transcript levels are higher in gregarious locusts (Verlinden et al., 2010). Cellular retinaldehyde-binding protein (CRALBP), Translocator protein (TSPO), and retinoid X receptor-G protein α 14 (RXR-Gna14) signaling mediate olfactory attraction and repulsion (Ma, Liu & Guo, 2019; Ma & Liu, 2020; Ma, Guo & Liu, 2020). Odorant receptor deorphanization has advanced through international collaborative efforts (Li et al., 2016; Chang et al., 2023b; Lehmann et al., 2024). Orco knockout impairs olfactory responses but not activity or coloration (Li et al., 2016). Chemosensory protein (CSP) genes have undergone expansion via duplication in both model species, with most CSPs differentially expressed between phases. Notably, 14 orthologous CSP pairs are over-expressed in the gregarious phase of both species, suggesting conserved roles in phase change (Martín-Blázquez et al., 2017).

The kinetics of phase change are asymmetric and exhibit properties of long-term memory, but the specific time-course varies significantly among species. In the L. migratoria, behavioral transitions from solitarious to gregarious are slow, while the reverse is rapid (Ellis, 1963b; Harano et al., 2011, 2012; Guo et al., 2011; Ma et al., 2011; Guo, Ma & Kang, 2013, 2015). In contrast, the S. gregaria exhibits a quicker shift to gregarious behavior, but a slower transition back (Gillett, 1988; Roessingh, Simpson & James, 1993; Roessingh & Simpson, 1994; Bouaïchi, Roessingh & Simpson, 1995; Ott et al., 2012). C. terminifera shows intermediate dynamics, with behavioral phase change completing in either direction within days (Gray et al., 2009; Cullen et al., 2010). S. piceifrons exhibits kinetics similar to L. migratoria (rapid solitarization, slow gregarization) rather than its congener S. gregaria, suggesting phase-change dynamics are shaped by ecological pressures as much as by phylogeny (Foquet, Castellanos & Song, 2021; Foquet et al., 2022). Studies on the neural basis of gregarious behavior have revealed memory-like properties of phase change (Geva et al., 2010; Golov et al., 2018). A 30-min crowding event induces long-term behavioral change retained for 24 h and is sensitive to protein synthesis inhibition (Geva et al., 2010). Protein kinase A (PKA) activity is critical for initial gregarious behavior acquisition but not long-term expression (Ott et al., 2012).

This persistent shift is underpinned by extensive neural remodeling. Gregarious locusts have larger brains with expanded higher-processing centers (Ott & Rogers, 2010). The descending contralateral movement detector neuron habituates five times more strongly in solitarious locusts (Matheson, Rogers & Krapp, 2004; Rogers et al., 2007, 2010; Gaten et al., 2012) and has a more curved receptive field with reduced habituation in gregarious individuals (Rogers et al., 2010). Homeostatic plasticity maintains constant synaptic drive across phases (Rogers et al., 2007). The descending contralateral movement detector (DCMD) neuron shows circadian rhythmicity matching phase-specific activity times (Gaten et al., 2012). Solitarious locusts have enhanced high-frequency hearing for bat detection (Gordon et al., 2014). Gregarious locusts show stronger tritocerebral commissure giants (TCG) activity and flight initiation (Fuchs, Kutsch & Ayali, 2003; Ayali, Fuchs & Kutsch, 2004). Polarization-sensitive neurons for navigation show no phase differences (el Jundi & Homberg, 2012). Cognitive plasticity is integral, with phase change involving fundamental reprogramming of associative learning priorities. Aversive learning is phase-specific, and crowding blocks new aversive acquisition but not memory retrieval (Simões, Niven & Ott, 2013). Solitarious locusts show higher slow extensor tibiae (SETi) reflex gain and longer catalepsy, supporting cryptic lifestyle (Blackburn et al., 2010), and jump faster and farther but with higher energy cost (Rogers et al., 2016).

Chemical communication and coordination

Locusts employ phase-specific volatiles for collective behavior, but key pheromones are species-specific with sometimes opposing functions. In L. migratoria, 4-vinylanisole (4VA) acts as a key aggregation pheromone (Guo et al., 2020b; Yang et al., 2023b), specifically emitted by gregarious locusts, attracting both phases, detected by OR35, with release density-dependent (Guo et al., 2020a). 4VA accelerates gregarious behavior acquisition, and loss of perception prevents gregarization (Yang et al., 2023b). 4VA also promotes sexual maturation synchrony via the juvenile hormone and vitellogenin pathway (Chen et al., 2022a). Phenylacetonitrile reveals complete functional divergence between species. In L. migratoria nymphs, PAN serves as an anti-cannibalistic signal (Wei et al., 2019; Chang et al., 2023a) and olfactory aposematic signal converting to hydrogen cyanide (Wei et al., 2019). In S. gregaria, by contrast, PAN is a male-derived courtship inhibition pheromone (Seidelmann & Ferenz, 2002; Rono et al., 2008; Lehmann et al., 2024). PAN is twenty times higher in males, peaks at 2 to 3 weeks, and is absent in solitarious individuals (Amwayi et al., 2012). PAN production changes rapidly with density shifts (Deng et al., 1996) and has concentration-dependent dual functions: cohesive at low concentrations and repellent at high concentrations (Rono et al., 2008). Field experiments have demonstrated that PAN exposure can solitarize gregarious hopper bands (Bashir & Hassanali, 2010).

In S. gregaria, fecal volatiles like guaiacol and phenol, produced by gut bacteria Pantoea agglomerans, function as aggregation pheromones (Fuzeau-Braesch et al., 1988; Obeng-Ofori et al., 1994; Torto et al., 1994, 1996; Dillon, Vennard & Charnley, 2002). Three aromatic compounds including phenol, guaiacol, and veratrole promote aggregation (Fuzeau-Braesch et al., 1988). Two stage-specific pheromone systems exist: juvenile pheromone attracting nymphs, adult pheromone attracting adults (Obeng-Ofori, Torto & Hassanali, 1993). Fecal volatiles complement these systems (Obeng-Ofori et al., 1994). The adult aggregation pheromone is a male-produced blend (Torto et al., 1994). Solitarious adults lack PAN but respond to gregarious pheromone, aiding recruitment (Njagi et al., 1996).

Cuticular hydrocarbons serve as essential contact gregarizing signals across phases. Solitary Locusta migratoria produce higher proportions of longer-chain cuticular alkanes and heavier cuticular ethers compared to gregarious individuals (Genin et al., 1986; Genin, Jullien & Fuzeau-Braesch, 1987; Heifetz et al., 1997, 1998). Gregarious ethers are predominantly C16, while solitary ethers are C18 (Genin, Jullien & Fuzeau-Braesch, 1987). The hydrocarbon fraction induces gregarious behavior and elicits IP₃ responses in antennae (Heifetz et al., 1997). Gregarious hydrocarbon extract induces gregarious behavior; profiles differ quantitatively and change rapidly with density; species-specific (Heifetz et al., 1998). Cuticular contact cues are primary behavioral phase transition inducers (Heifetz, Voet & Applebaum, 1996).

Chemical signals also mediate maternal priming, with volatiles in oviposition sand and egg pod foam priming hatchlings for gregarious life (Mccaffery et al., 1998; Malual et al., 2001). Acetophenone and veratrole are major oviposition aggregation pheromone components (Rai et al., 1997). Three unsaturated ketones from sand mediate oviposition aggregation (Torto et al., 1999). Sand from gregarious females contains volatile C-8 ketones acting as primer pheromone (Malual et al., 2001). A small hydrophilic gregarizing factor exists in egg foam (Mccaffery et al., 1998). The primary gregarizing agent is an alkylated L-dopa analogue (Miller et al., 2008). Pheromone exposure induces proteomic changes in embryos (Khamis et al., 2015).

Pheromones regulate sexual maturation, with adult volatiles accelerating it (Loher, 1961; Norris, 1964; Mahamat et al., 1993; Mahamat, Hassanali & Odongo, 2000; Hiroyoshi et al., 2021) and nymphal volatiles delaying it. Early work established the role of pheromones in reproductive maturation (Norris, 1962, 1963, 1964; Norris & Pener, 1965; Norris & Richards, 1970). Mature male volatiles accelerate maturation in both sexes; the blend serves dual aggregation and maturation roles (Mahamat et al., 1993). PAN is critical for maturation acceleration (Mahamat, Hassanali & Odongo, 2000). Ovipositing females show strong gregarious cohesion mediated by contact pheromones (Norris, 1963; Norris & Richards, 1970). Gregarious males show enhanced sperm storage; adult volatiles promote, nymphal volatiles retard sperm storage (Hiroyoshi et al., 2021). Mature male extract accelerates maturation but does not induce yellowing (Amerasinghe, 1978a). Juvenile hormone I is more effective than juvenile hormone III for yellowing and sexual activity (Amerasinghe, 1978b). Solitarious females emit a volatile sex pheromone attracting males (Inayatullah, El Bashir & Hassanali, 1994). Both solitarious sexes use olfactory and visual cues for mate location; crowding enhances responsiveness (Ely et al., 2006). Solitarious males invest more in courtship; inter-phase mating success is asymmetric (Golov et al., 2018).

Dibutyl phthalate (DBP) is a phase-specific sex pheromone released by solitary females, crucial for low-density mate-finding (Cui et al., 2024). In S. piceifrons, male pheromone emission is density-dependent and mediates cryptic female choice (Stahr & Seidelmann, 2016). In L. migratoria, virgin gregarious females emit a phase-specific signal attracting only virgin gregarious males, creating an inter-phase mating barrier (Unni, Knaden & Hansson, 2024). Interspecific aggregation between L. migratoria and S. gregaria explains mixed hopper bands (Niassy et al., 1999). Recent behavioral work has elucidated collective motion mechanisms: locusts do not explicitly align with neighbors, vision is necessary and sufficient for coordinated marching, there is no density-dependent disorder-order transition as alignment depends on order rather than density, optomotor response is present but does not mediate social alignment, gregarious but not solitarious locusts align with virtual conspecifics, and behavior is explained by a vectorial representation or ring attractor cognitive model rather than classical self-propelled particle models (Sayin et al., 2025).

Physiological, morphological, and life-history reprogramming

The phase transition orchestrates a comprehensive physiological overhaul across multiple systems. While early studies emphasized hormonal control, recent research reveals a more complex integration of endocrine, direct signaling, and biochemical pathways. Coloration, one of the most visible phase traits, involves distinct regulatory pathways. Juvenile hormone (JH) regulates background homochromy, promoting the green/brown cryptic coloration of solitary locusts (Pener, 1967; Pener & Lazarovici, 1979; Injeyan & Tobe, 1981a; Tawfik et al., 1997b; Tanaka, 2000). In some species, [His⁷]-Corazonin (Crz) induces gregarious black patterning (Tawfik et al., 1999; Tanaka et al., 2002; Maeno, Gotoh & Tanaka, 2004; Sugahara et al., 2015, 2016, 2017), though its role is absent in some albino strains (Schoofs et al., 2000; Baggerman et al., 2001; Hoste et al., 2002; Rahman et al., 2003).

A recent discovery in L. migratoria revealed that the characteristic gregarious black patterning results not from melanin deposition but from a carotenoid-based mechanism. Crowding induces expression of β-carotene-binding protein (βCBP), which complexes with dietary β-carotene to form a red pigment. When superimposed on the solitary green background, this creates the black aposematic coloration through a “three primary colors” principle (Yang et al., 2019b). This density-responsive pathway involves phosphorylation of transcription factor ATF2, directly linking population density to precise spatial patterning (Kang et al., 2023). Complementary coloration mechanisms include: the presence of blue-green biliverdin pigment in solitary haemolymph, serving as a biochemical phase indicator (Goodwin & Srisukh, 1951; Mahamat, Hassanali & Munyinyi, 1997; Deng, 2002); and yellow protein (YP) expression in gregarious desert locusts (Sas et al., 2007), functioning as an intrasexual warning signal (Sugahara et al., 2018; Cullen et al., 2022).

The femur-to-head capsule width ratio (F/C) remains a reliable, species-general morphological phase index (Dirsh, 1951; Blackith, 1957; Tanaka, 2022, 2024). The role of juvenile hormone extends beyond coloration to complex behavioral modulation. While critical for reproduction and development, application of juvenile hormone analogs can suppress gregarious aggregation behavior, suggesting a role in promoting solitarization (Wiesel, Tappermann & Dorn, 1996; Applebaum, Avisar & Heifetz, 1997; Tawfik et al., 1997a; Guo et al., 2020a). This highlights the interconnected yet sometimes antagonistic relationships between endocrine pathways regulating different phase traits. A core life-history trade-off exists between reproductive strategies. Gregarious females produce fewer, larger, yolk-rich eggs, while solitarious females produce more, smaller eggs (Cheu, 1952; Albrecht, Verdier & Blackith, 1959; Injeyan & Tobe, 1981b; Maeno & Tanaka, 2008; Maeno et al., 2013; Chen et al., 2015a; Maeno, Piou & Ghaout, 2020; Zhao et al., 2021; Maeno, Piou & Leménager, 2023). This divergence reflects adaptive strategies: gregarious locusts invest in offspring quality for swarm migration, while solitary locusts maximize fecundity in stable environments.

Metabolic profiles shift dramatically between phases. Gregarious locusts are optimized for sustained migration, exhibiting enhanced adipokinetic hormone response and lipid metabolism (Ayali & Pener, 1992, 1995; Schneider & Dorn, 1994; Ayali, Pener & Girardie, 1996; Ogoyi, Osir & Olembo, 1996, 1998; Ayali, Golenser & Pener, 1996; Ayali et al., 1996; Du et al., 2022). Metabolomic analyses confirm distinct phase-specific profiles (Lenz et al., 2001; Wu et al., 2012), though this metabolic optimization carries trade-offs, including accelerated flight muscle ageing in gregarious individuals (Guo et al., 2023). Developmental plasticity is also phase-dependent, solitarious individuals are more prone to extra molting (Albrecht, 1957; Maeno & Tanaka, 2010a).

Molecular and epigenetic control mechanisms

Transcriptomic reprogramming

Crowding induces genome-wide transcriptional changes, with thousands of genes differentially expressed between phases (Kang et al., 2004; Wang et al., 2007, 2014; Chen et al., 2010; Badisco et al., 2011a, 2011b; Jiang et al., 2012; Lee et al., 2018; Bakkali & Martín-Blázquez, 2018). Early transcriptomic studies in S. gregaria and L. migratoria identified phase-specific expression patterns across multiple tissues, revealing coordinated regulation of genes involved in chemosensation, metabolism, cuticle formation, and neuropeptide signaling (Kang et al., 2004; Wang et al., 2007; Chen et al., 2010). A pivotal advance came from direct comparative transcriptomics between the two model species. Bakkali & Martín-Blázquez (2018) demonstrated that gene expression profiles cluster more strongly by species than by phase, with only a small set of genes, termed the PhaseCore, showing conserved phase-related expression across both species. This finding was subsequently confirmed and extended (Yang et al., 2019a; Bakkali et al., 2024), revealing that the majority of transcriptional responses to crowding are species-specific. This architecture, in which conserved gregarious phenotypes are achieved through divergent molecular means, explains why behavioral and morphological convergence across locust species masks profound mechanistic differences at the molecular level.

Among the conserved elements are chemosensory protein genes, which have undergone lineage-specific expansion via duplication in both model species. Most CSPs are differentially expressed between phases, and critically, 14 orthologous CSP pairs are over-expressed in the gregarious phase of both S. gregaria and L. migratoria, suggesting a conserved role in chemosensory adaptation to crowded conditions (Martín-Blázquez et al., 2017). Similarly, genes involved in dopamine synthesis and signaling show phase-related expression in both species, though the specific isoforms and regulatory networks differ (Guo et al., 2018; Zhang et al., 2020). Temporal transcriptomic studies have further revealed that phase change involves sequential waves of gene expression. Immediate early genes, including transcription factors and hormone receptors, are upregulated within hours of crowding, followed by delayed expression of effector genes such as cuticle proteins and metabolic enzymes (Wang et al., 2014; Guo et al., 2016). This temporal architecture mirrors the behavioral kinetics of gregarization: rapid initial behavioral shift followed by slower morphological and physiological consolidation.

Epigenetic regulation of phase change

Epigenetic mechanisms, including DNA methylation, histone modifications, and non-coding RNAs (lncRNA), are dynamically regulated by density and are critical for plasticity (Wei et al., 2009; Robinson et al., 2011, 2016; Falckenhayn et al., 2013; Mallon, Amarasinghe & Ott, 2016; He et al., 2016, 2022; Guo et al., 2016; Zhang et al., 2020; Hou et al., 2020; Li et al., 2020a; Yang et al., 2023a). Functional studies demonstrate that knockdown of DNA methyltransferase three reduces gregarious locomotion (Hou et al., 2020), and the lncRNA PAHAL promotes gregarization by regulating dopamine synthesis (Zhang et al., 2020; Li et al., 2020a). These findings establish that epigenetic regulation is not merely correlated with phase change but functionally required for its expression. The transcriptomic and epigenetic evidence together present a dual picture: extensive lineage-specific divergence in gene expression overlaid on a small core of conserved elements, with dynamic epigenetic regulation orchestrating the plastic response to crowding. This integrated molecular architecture explains why interventions targeting phase change may need to be species-specific, as the molecular targets of opportunity differ even when the phenotypic outcome is shared, while also identifying conserved elements such as specific CSPs or dopamine pathway components that might serve as broader targets if their functional roles prove essential across species.

Transgenerational effects and immunological adaptation

Phase state can be transmitted across generations via non-genetic mechanisms. Crowding experience of adults directly influences offspring phase (Ellis, 1959a; Islam et al., 1994a, 1994b; Bouaïchi & Simpson, 2003; Tanaka & Maeno, 2006; Chapuis et al., 2008, 2010; Maeno & Tanaka, 2010b; Chen et al., 2015b). This maternal effect involves the provisioning of larger eggs, a mechanism associated with gregarizing factors initially identified in egg foam (Miller et al., 2008; Mccaffery et al., 1998) and later linked to egg size itself (Maeno & Tanaka, 2008, 2009a, 2010b). Species-specificity is evident in the underlying mechanisms. Increasing juvenile hormone titers shifts progeny toward solitarious traits in L. migratoria (Ben Hamouda & Tanaka, 2016), but does not directly regulate phase-specific traits in S. gregaria, where direct crowding signals are paramount (Maeno & Tanaka, 2009b). Gregarious locusts also exhibit density-dependent prophylaxis—enhanced immune investment conferring greater resistance to fungal pathogens like Metarhizium anisopliae (Wilson et al., 2002; Wang et al., 2013, 2022). Conversely, infection by pathogens like the microsporidian Paranosema locustae and Metarhizium anisopliae can shift phase-related behavior and morphometrics towards solitarious traits (Elliot et al., 2003; Feng et al., 2015; Li et al., 2020b).

Emerging role of the gut microbiome

A clear phase-specific dichotomy exists in gut microbiota. Gregarious locusts are characterized by a transient dominance of Weissella (Firmicutes), which is horizontally transmitted upon crowding, while solitary locusts maintain a more stable core microbiome dominated by Proteobacteria (Lavy et al., 2019, 2022). However, field-collected gregarious locusts can share a stable core microbiome with solitary ones, suggesting the laboratory dynamic may be an artifact of density-facilitated transmission in simplified environments (Lavy et al., 2019). The microbiome both influences and is influenced by phase. Gut bacteria produce aggregation pheromone components (Dillon, Vennard & Charnley, 2002), and phase affects reproductive tract microbiota (Lavy et al., 2020). This creates a feedback loop where females vertically transmit symbionts, while environmental resource distribution facilitates the social interactions necessary for microbial transmission.

Discussion

General interpretation of the results

This systematic review synthesizes over a century of research on locust phase polyphenism, revealing a field that has generated profound mechanistic insight within a narrow empirical paradigm. The evidence base shows two dominant patterns: an overwhelming focus on two model species—S. gregaria and L. migratoria, which together appear in 93.8% of studies—and a methodological reliance on controlled laboratory experiments, accounting for 84.8% of all included studies. While this approach has successfully mapped detailed causal pathways spanning from sensory input to epigenetic regulation and microbiome dynamics, the pivotal finding is that the convergent gregarious phenotype across species masks fundamentally divergent genetic, neurochemical, and physiological mechanisms.

Direct comparisons between the two model species repeatedly reveal this divergence. In L. migratoria, gregarious nymphs produce PAN as an anti-cannibalistic pheromone (Chang et al., 2023a). In S. gregaria, however, PAN is exclusively released by gregarious mature males as a courtship-inhibiting pheromone and male-male repellent, a mechanism that enhances mate guarding to prevent sperm competition (Seidelmann & Ferenz, 2002; Seidelmann, Warnstorff & Ferenz, 2005). This functional divergence is further underscored by the essential role of the sensory protein SNMP1 in S. gregaria, where its loss impairs PAN detection and mating avoidance (Lehmann et al., 2024).

Neurochemical pathways show similar species-specificity. Serotonin drives rapid behavioral gregarization in S. gregaria (Anstey et al., 2009), yet enhances solitariness in L. migratoria (Guo, Ma & Kang, 2013). Adding to the complexity, one study in S. gregaria found no evidence for serotonin’s involvement in attraction-avoidance behavior (Tanaka & Nishide, 2013). Similarly, while octopamine has been implicated in phase-related behavior (Ma et al., 2015), an early study found no significant phase differences in octopamine levels in S. gregaria, directly contradicting prior reports (Morton & Evans, 1983).

The temporal dynamics of phase transition diverge as well. For example, S. gregaria exhibits rapid gregarization but slow solitarization (Roessingh & Simpson, 1994), while L. migratoria shows the opposite pattern (Guo et al., 2011), and C. terminifera changes rapidly in both directions (Gray et al., 2009). Remarkably, the Central American locust, Schistocerca piceifrons follows the L. migratoria pattern rather than that of its congener S. gregaria (Foquet et al., 2022), suggesting that phase-change kinetics are shaped by species-specific ecology and life-history rather than phylogenetic constraint alone.

Maternal effects on phase characteristics are well-established (Islam et al., 1994a, 1994b; Bouaïchi, Roessingh & Simpson, 1995; Mccaffery et al., 1998; Chapuis et al., 2008, 2010; Maeno & Tanaka, 2008; Wang et al., 2012; Chen et al., 2015b), with early work demonstrating that crowding during mating and oviposition alone is sufficient to produce gregarious offspring (Islam et al., 1994a, 1994b), an effect confirmed in natural populations and shown to accumulate across generations (Bouaïchi & Simpson, 2003). However, conflicting evidence persists regarding the timing of maternal programming (Maeno & Tanaka, 2010a cf. Nishide & Tanaka, 2019), the sensory requirements for transmission (Maeno, Tanaka & Harano, 2011 cf. Nishide & Tanaka, 2019), and the relative roles of egg chemistry (Mccaffery et al., 1998; Miller et al., 2008), yolk content (Maeno & Tanaka, 2009a), and epigenetic inheritance (Chen et al., 2015b; He et al., 2016; Robinson et al., 2016). This suggests that while the phenomenon is clear, its mechanistic basis is not, highlighting a key area for future research. Most comprehensively, transcriptomic analysis demonstrates that gene expression clusters more strongly by species than by phase (Bakkali et al., 2024). The majority of transcriptional responses to crowding are species-specific, with only a small set of “PhaseCore” genes showing conserved phase-related expression across both species (Yang et al., 2019a). This architecture—conserved gregarious phenotypes achieved through divergent molecular means—explains why behavioral and morphological similarities across locust species masks profound mechanistic differences.

However, this detailed mechanistic understanding comes with a critical caveat: the scarcity of field validation. Laboratory studies have successfully established causality and mapped mechanisms with precision unattainable in the field. Yet the ecological contexts that modulate phase change in nature, including variable climate, patchy resource distribution, predator pressure, and multi-species interactions, are deliberately stripped away in controlled designs. The rare studies that have integrated laboratory and field approaches demonstrate that these contexts matter profoundly (Lavy et al., 2019; Cease et al., 2023). This creates what we term a translational impasse: profound mechanistic knowledge exists parallel to, yet largely disconnected from, the ecological and evolutionary frameworks required for predictive application. This impasse is not merely an academic concern. Locust outbreaks continue to threaten food security across multiple continents, and effective management requires predictive tools that can anticipate gregarization before swarm form, as well as intervention strategies that are ecologically valid and species-appropriate. The contradictory findings reviewed here are not limitations of the evidence but rather critical indicators of the biological complexity that any successful translation must accommodate. They reinforce that interventions targeting phase change must be developed and validated with careful attention to species-specificity and ecological context, rather than assumed to operate universally.

Management implications: bridging the translational impasse

The current preventive management paradigm relies on ecological forecasting that integrates remote sensing with field surveys to monitor vegetation greenness, rainfall patterns, and locust populations. This approach has proven valuable but operates on the principle that gregarization will occur when populations exceed carrying capacity, a threshold that, as the evidence shows, is itself modulated by vegetation structure, nutritional landscape, and species-specific factors. The mechanistic insights reviewed here offer opportunities to enhance this paradigm, but translation requires strategic integration rather than replacement. One pathway forward involves the development of physiological biomarkers that could provide earlier warning of incipient gregarization than density estimates alone. Gene expression signatures, neurochemical profiles, or microbiome characteristics associated with the early stages of phase transition, if they can be reliably detected in field-sampled individuals, might signal increasing gregarization risk before traditional indicators trigger intervention. The field-validated density thresholds and predictive models already in use (Cisse et al., 2013, 2015a; Cissé et al., 2016) provide a foundation for integrating such biomarkers into existing monitoring frameworks. Quantitative regression models developed for phase categorization (Martín-Blázquez & Bakkali, 2017; Saadi et al., 2024) offer standardized tools that could potentially bridge laboratory and field assessments.

For direct intervention, the evidence points away from searching for a universal silver bullet that would disrupt phase change across all locust species. The species-specificity of pheromone systems, neurochemical cascades, and even coloration mechanisms means that a tactic validated in one species cannot be assumed effective in another. Instead, translation requires a comparative functional framework that identifies vulnerable nodes within the phase-change networks of high-priority target species, then develops interventions tailored to those specific systems. The successful development of semiochemical-based approaches, including the use of PAN to solitarize gregarious hopper bands in the field (Bashir & Hassanali, 2010), demonstrates the feasibility of this approach when grounded in ecological understanding of the target species. Biological control agents offer another promising avenue, particularly those with dual-action effects. Entomopathogenic fungi such as Metarhizium anisopliae and microsporidia such as Paranosema locustae not only cause mortality but actively shift gregarious locusts toward solitary behavior (Shi et al., 2014; Feng et al., 2015; Li et al., 2020b). Understanding the mechanisms underlying these behavioral effects, whether through direct physiological impacts, modulation of the gut microbiome, or other pathways, could enable optimization of these agents for species-specific application. Crucially, all such translational efforts must be embedded within the existing preventive paradigm rather than positioned as replacements. The goal is enhancement: earlier warning through physiological biomarkers, more targeted intervention through species-specific disruptors, and validation of novel approaches through rigorous field testing that accounts for the ecological complexity that laboratory studies necessarily simplify.

Limitations of the evidence

The conclusions of this review must be interpreted in light of several limitations inherent to the evidence base. First, the literature exhibits a severe taxonomic concentration, with 93.8% of studies focused on at least one of the two model species—S. gregaria and L. migratoria—and only 25 studies (6.2%) examining other species exclusively. Consequently, the current mechanistic understanding of locust phase polyphenism is, to a very large degree, an understanding of these two species. The substantial mechanistic divergence documented even between S. gregaria and L. migratoria (Bakkali et al., 2024) strongly suggests that findings from these models cannot be safely extrapolated to other locusts or grasshoppers with density-dependent plasticity, yet the limited evidence base on non-model species precludes confident generalization in either direction.

Second, the evidence is heavily skewed by study design, with laboratory experiments accounting for 339 studies (84.8% of the total) while field studies are far rarer, comprising only 24 studies (6%). The dominance of laboratory work, while essential for establishing causality under controlled conditions, inherently limits the external validity of the findings; the precise pathways and threshold effects mapped in simplified laboratory settings may operate differently under the complex, variable conditions of natural environments. The critical step of explicitly testing laboratory-derived mechanisms in the field remains a significant gap, as such validation studies are exceptionally rare. Third, while the field has shown a clear trajectory of increasing methodological rigor over time, the evidence base spans a century of research, and we cannot rule out the possibility of publication bias toward positive results. However, the past three decades are characterized by a high preponderance of “Low” risk of bias studies, lending confidence to the more recent findings.

Limitations of the review processes

While this review adhered to PRISMA guidelines to ensure a systematic search and selection of literature, several methodological constraints of this review itself must be acknowledged. These limitations also highlight specific opportunities for strengthening future evidence syntheses in this field. The high heterogeneity in species, interventions, and measured outcomes across the 400 included studies precluded formal meta-analysis. While the narrative synthesis approach allows integration of complex, multifaceted evidence, it limits the statistical rigor and quantitative conclusiveness of our findings. Our search strategy, confined to major English-language databases, likely underrepresented non-English and grey literature. Incorporating regional databases and multilingual searches would enrich future syntheses. Additionally, despite careful design, our search strings may not capture all relevant studies due to terminological evolution across disciplines and decades.

A strategic framework for future research

The patterns identified in this review directly inform a strategic framework for future research. To bridge the translational divide, the field must move beyond its current silos through four interconnected priorities, each designed to address a specific gap in the evidence base. First, expand the taxonomic and phylogenetic scope of mechanistic research. The finding that even two congeneric species, S. gregaria and S. piceifrons, exhibit different phase-change kinetics (Foquet, Castellanos & Song, 2021), and that transcriptomes cluster by species rather than phase (Bakkali et al., 2024), demands a decisive move beyond the current model-centric focus. A phylogenetically broad approach, including genome sequencing and functional genomics of non-model, high-impact pest species is essential to distinguish evolutionarily conserved core mechanisms from lineage-specific adaptations. Reporting of negative results and species-specific null findings must be actively encouraged to correct the current publication bias.

Second, deliberately integrate mechanistic and ecological research through field-laboratory hybrids. This requires manipulative field experiments that test laboratory-identified mechanisms under natural conditions, measuring how variables such as vegetation structure, climate variability, and community context modulate pathway function. It also requires laboratory experiments that incorporate ecological complexity, for example by using field-collected individuals, varying resource distribution, or simulating natural temperature regimes. The predictive model, which integrated density, vegetation, and ground cover to achieve high phase-prediction accuracy (Cissé et al., 2016), exemplifies the power of such integration. Future research should aim to embed physiological and molecular measurements within similar ecologically grounded frameworks.

Third, validate emerging regulatory mechanisms for their biocontrol potential in ecologically relevant contexts. The gut microbiome and epigenetic regulation represent promising but still nascent areas of investigation. The findings that gut bacteria produce aggregation pheromone components (Dillon, Vennard & Charnley, 2002) and that microbiome composition differs between phases (Lavy et al., 2019, 2022) suggest potential intervention points, but causal experiments establishing whether microbiome manipulation can prevent or reverse gregarization are lacking. Similarly, the demonstration that DNA methyltransferase 3 (Dnmt3) knockdown reduces gregarious locomotion (Hou et al., 2017) and that a nuclear-enriched long noncoding RNA (lncRNA), phenylalanine hydroxylase (PAHAL) can regulate dopamine synthesis (Zhang et al., 2020) points to epigenetic targets, but whether these mechanisms operate in non-model species or under field conditions remains unknown. Validation requires causal experiments in ecologically relevant settings, testing across multiple species to assess conservation, and explicit consideration of whether identified targets are druggable or otherwise amenable to intervention in natural populations.

Fourth, embed translation within the preventive paradigm through species-specificity and equitable partnership. Translation should be conceptualized not as a separate phase of research but as an integral component of the research agenda from the outset. This means designing basic research with eventual application in mind: prioritizing field validation for the two model species while simultaneously building foundational mechanistic knowledge for understudied pest species, developing field-applicable physiological biomarkers, testing semiochemical interventions in complex field settings, and evaluating biological control agents for their effects on phase status and swarm formation. Critically, this translational agenda requires equitable transdisciplinary partnerships with researchers and practitioners in outbreak-affected regions. Local knowledge of outbreak dynamics, ecological context, and management feasibility is essential for designing interventions that are not only scientifically sound but practically implementable. Building research capacity in locust-affected countries ensures that those most in need benefit from mechanistic insight.

Conclusion

This systematic review synthesizes over a century of research on locust phase polyphenism, revealing a field at a critical juncture. A deep but narrow understanding of proximate mechanisms remains largely disconnected from the ecological and evolutionary frameworks required for predictive application. The central insight emerging from this synthesis is that the remarkable phenotypic convergence of swarming locusts, the shared outcome of gregarious behavior and morphology across species, is not the product of a single universal molecular script. Rather, it emerges from diverse genetic, neurochemical, and physiological orchestrations that have evolved within specific lineages. This finding fundamentally reframes how we should interpret the mechanistic literature and how we should approach translation.

The translational impasse identified here, entrenched by taxonomic narrowness, methodological isolation, and fragmentation across levels of analysis, constitutes the central challenge. To bridge this divide, future progress must be governed by a new, integrative paradigm. This paradigm explicitly recognizes that mechanisms are lineage-specific adaptations and that laboratory findings, however causally rigorous, require ecological validation before they can inform management. The path forward lies not in further deepening the silo of a single model system, but in systematically harnessing comparative functional biology across a representative phylogenetic spectrum. Applying the resolving power of modern genomics, causal genetics, and microbiome manipulation to both established and understudied locust species will rigorously disentangle evolutionarily conserved core mechanisms from lineage-specific innovations.

Crucially, this mechanistic knowledge must then be deliberately integrated with field-based climate ecology and socio-economic realities through equitable, transdisciplinary partnerships. This integration is the essential catalyst that transforms fundamental insight into actionable management tools, enabling the development of predictive physiological biomarkers for early warning, the rational design of species-specific behavioral disruptors, and the validation of next-generation biocontrol agents that target the plasticity enabling swarm formation itself. By adopting this strategic, comparative, and partnership-based agenda, the profound biological knowledge of locust phase change can be decisively leveraged to generate the predictive, sustainable, and context-aware strategies necessary to safeguard global food security in an era of rapid environmental change.

Supplemental Information

Supplemental Information 1. PRISMA Checklist.
peerj-14-21374-s001.docx (271.1KB, docx)
DOI: 10.7717/peerj.21374/supp-1
Supplemental Information 2. Search strings.
peerj-14-21374-s002.docx (16.5KB, docx)
DOI: 10.7717/peerj.21374/supp-2
Supplemental Information 3. Complete lists of included studies.
peerj-14-21374-s003.xlsx (72.9KB, xlsx)
DOI: 10.7717/peerj.21374/supp-3
Supplemental Information 4. Rationale and contributions.
peerj-14-21374-s004.docx (19.8KB, docx)
DOI: 10.7717/peerj.21374/supp-4

Funding Statement

The authors received no funding for this work.

Additional Information and Declarations

Competing Interests

The authors declare that they have no competing interests.

Author Contributions

Diriba Fufa Serdo conceived and designed the experiments, performed the experiments, analyzed the data, prepared figures and/or tables, authored or reviewed drafts of the article, and approved the final draft.

Zoltán Németh conceived and designed the experiments, performed the experiments, analyzed the data, authored or reviewed drafts of the article, and approved the final draft.

Data Availability

The following information was supplied regarding data availability:

This is a Systematic Review/Meta-analysis.

References

  • Albrecht (1957).Albrecht FO. Phase and moulting polymorphism in locusts. Evolution Education and Outreach. 1957;11(2):166. doi: 10.2307/2406048. [DOI] [Google Scholar]
  • Albrecht, Verdier & Blackith (1959).Albrecht FO, Verdier M, Blackith RE. Maternal control of ovariole number in the progeny of the migratory locust. Nature. 1959;184(4680):103–104. doi: 10.1038/184103a0. [DOI] [Google Scholar]
  • Alessi et al. (2014).Alessi AM, O’Connor V, Aonuma H, Newland PL. Dopaminergic modulation of phase reversal in desert locusts. Frontiers in Behavioral Neuroscience. 2014;8:1–15. doi: 10.3389/fnbeh.2014.00371. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Amerasinghe (1978a).Amerasinghe FP. Pheromonal effects on sexual maturation, yellowing, and the vibration reaction in immature male desert locusts (Schistocerca gregaria) Journal of Insect Physiology. 1978a;24(4):309–314. doi: 10.1016/0022-1910(78)90028-8. [DOI] [Google Scholar]
  • Amerasinghe (1978b).Amerasinghe FP. Effects of J.H.I and J.H.III on yellowing, sexual activity and pheromone production in allatectomized male Schistocerca gregaria. Journal of Insect Physiology. 1978b;24:603–611. doi: 10.1016/0022-1910(78)90123-3. [DOI] [Google Scholar]
  • Amwayi et al. (2012).Amwayi PW, Masiga DK, Govender P, Teal PEA, Torto B. Mass spectral determination of phenylacetonitrile (PAN) levels in body tissues of adult desert locust, Schistocerca gregaria. Journal of Insect Physiology. 2012;58(8):1037–1041. doi: 10.1016/j.jinsphys.2012.03.012. [DOI] [PubMed] [Google Scholar]
  • Anstey et al. (2009).Anstey ML, Rogers SM, Ott SR, Burrows M, Simpson SJ. Serotonin mediates behavioral gregarization underlying swarm formation in desert locusts. Science. 2009;323(5914):627–630. doi: 10.1126/science.1165939. [DOI] [PubMed] [Google Scholar]
  • Anton & Hansson (1996).Anton S, Hansson BS. Antennal lobe interneurons in the desert locust Schistocerca gregaria (Forskal): processing of aggregation pheromones in adult males and females. The Journal of Comparative Neurology. 1996;370:85–96. doi: 10.1002/(SICI)1096-9861(19960617)370:1<85::AID-CNE8>3.0.CO;2-H. [DOI] [PubMed] [Google Scholar]
  • Anton, Ignell & Hansson (2002).Anton S, Ignell R, Hansson BS. Developmental changes in the structure and function of the central olfactory system in gregarious and solitary desert locusts. Microscopy Research and Technique. 2002;56(4):281–291. doi: 10.1002/jemt.10032. [DOI] [PubMed] [Google Scholar]
  • Applebaum, Avisar & Heifetz (1997).Applebaum SW, Avisar E, Heifetz Y. Juvenile hormone and locust phase. Archives of Insect Biochemistry and Physiology. 1997;35:375–391. doi: 10.1002/(SICI)1520-6327(1997)35:4<375::AID-ARCH3>3.0.CO;2-R. [DOI] [Google Scholar]
  • Ayali (2019).Ayali A. The puzzle of locust density-dependent phase polyphenism. Current Opinion in Insect Science. 2019;35:41–47. doi: 10.1016/j.cois.2019.06.008. [DOI] [PubMed] [Google Scholar]
  • Ayali, Fuchs & Kutsch (2004).Ayali A, Fuchs E, Kutsch W. Neurophysiological studies of flight-related density-dependent phase characteristics in locusts. Acta Biologica Hungarica. 2004;55(1–4):137–141. doi: 10.1556/ABiol.55.2004.1-4.16. [DOI] [PubMed] [Google Scholar]
  • Ayali, Golenser & Pener (1996).Ayali A, Golenser E, Pener MP. Flight fuel related differences between solitary and gregarious locusts (Locusta migratoria migratorioides) Physiological Entomology. 1996;21(1):1–6. doi: 10.1111/j.1365-3032.1996.tb00828.x. [DOI] [Google Scholar]
  • Ayali & Pener (1992).Ayali A, Pener MP. Density-dependent phase polymorphism affects response to adipokinetic hormone in Locusta. Comparative Biochemistry and Physiology--Part A: Physiology. 1992;101(3):549–552. doi: 10.1016/0300-9629(92)90507-M. [DOI] [Google Scholar]
  • Ayali & Pener (1995).Ayali A, Pener MP. The relations of adipokinetic response and body lipid content in locusts (Locusta migratoria migratorioides) with special reference to phase polymorphism. Journal of Insect Physiology. 1995;41(1):85–89. doi: 10.1016/0022-1910(94)00076-S. [DOI] [Google Scholar]
  • Ayali, Pener & Girardie (1996).Ayali A, Pener MP, Girardie J. Comparative study of neuropeptides from the corpora cardiaca of solitary and gregarious Locusta. Archives of Insect Biochemistry and Physiology. 1996;31:439–450. doi: 10.1002/(SICI)1520-6327(1996)31:4<439::AID-ARCH6>3.0.CO;2-Q. [DOI] [Google Scholar]
  • Ayali et al. (1996).Ayali A, Pener MP, Sowa SM, Keeley LL. Adipokinetic hormone content of the corpora cardiaca in gregarious and solitary migratory locusts. Physiological Entomology. 1996;21(3):167–172. doi: 10.1111/j.1365-3032.1996.tb00851.x. [DOI] [Google Scholar]
  • Babah & Sword (2004).Babah MAO, Sword GA. Linking locust gregarization to local resource distribution patterns across a large spatial scale. Environmental Entomology. 2004;33(6):1577–1583. doi: 10.1603/0046-225X-33.6.1577. [DOI] [Google Scholar]
  • Badisco et al. (2011a).Badisco L, Huybrechts J, Simonet G, Verlinden H, Marchal E, Huybrechts R, Schoofs L, De Loof A, Vanden Broeck J. Transcriptome analysis of the desert locust central nervous system: production and annotation of a Schistocerca gregaria EST database. PLOS ONE. 2011a;6(3):e17274. doi: 10.1371/journal.pone.0017274. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Badisco et al. (2011b).Badisco L, Ott SR, Rogers SM, Matheson T, Knapen D, Vergauwen L, Verlinden H, Marchal E, Sheehy MRJ, Burrows M, Vanden Broeck J. Microarray-based transcriptomic analysis of differences between long-term gregarious and solitarious desert locusts. PLOS ONE. 2011b;6(11):e28110. doi: 10.1371/journal.pone.0028110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Baggerman et al. (2001).Baggerman G, Clynen E, Mazibur R, Veelaert D, Breuer M, De Loof A, Tanaka S, Schoofs L. Mass spectrometric evidence for the deficiency in the dark-color-inducing hormone, [His7]-corazonin in an albino strain of Locusta migratoria as well as for its presence in solitary Schistocerca gregaria. Archives of Insect Biochemistry and Physiology. 2001;47(3):150–160. doi: 10.1002/arch.1046. [DOI] [PubMed] [Google Scholar]
  • Bakkali & Martín-Blázquez (2018).Bakkali M, Martín-Blázquez R. RNA-Seq reveals large quantitative differences between the transcriptomes of outbreak and non-outbreak locusts. Scientific Reports. 2018;8(1):9207. doi: 10.1038/s41598-018-27565-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Bakkali et al. (2024).Bakkali N, Saadi S, Badih A, Bakkali M. Comparative transcriptomics suggests a highly species-specific nature of the phenotypic plasticity associated with the outbreaks of the two main pest locusts. BMC Genomics. 2024;25(1):1222. doi: 10.1186/s12864-024-11020-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Bam, Conlong & Addison (2024).Bam A, Conlong D, Addison P. An analysis of the phase status of the red locust, Nomadacris septemfasciata (Serville) in KwaZulu-Natal, South Africa. African Entomology. 2024;32:1–10. doi: 10.17159/2254-8854/2024/a19103. [DOI] [Google Scholar]
  • Bashir & Hassanali (2010).Bashir MO, Hassanali A. Novel cross-stage solitarising effect of gregarious-phase adult desert locust (Schistocerca gregaria (Forskål)) pheromone on hoppers. Journal of Insect Physiology. 2010;56(6):640–645. doi: 10.1016/j.jinsphys.2010.01.012. [DOI] [PubMed] [Google Scholar]
  • Bazazi et al. (2011).Bazazi S, Romanczuk P, Thomas S, Schimansky-Geier L, Hale JJ, Miller GA, Sword GA, Simpson SJ, Couzin ID. Nutritional state and collective motion: from individuals to mass migration. Proceedings of the Royal Society B: Biological Sciences. 2011;278(1704):356–363. doi: 10.1098/rspb.2010.1447. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Ben Hamouda & Tanaka (2016).Ben Hamouda A, Tanaka S. Effects of egg temperature and moisture on phase characteristics of the hatchlings in Locusta migratoria. Journal of Arid Environments. 2016;134(11):56–61. doi: 10.1016/j.jaridenv.2016.07.002. [DOI] [Google Scholar]
  • Blackburn et al. (2010).Blackburn LM, Ott SR, Matheson T, Burrows M, Rogers SM. Motor neurone responses during a postural reflex in solitarious and gregarious desert locusts. Journal of Insect Physiology. 2010;56(8):902–910. doi: 10.1016/j.jinsphys.2010.04.011. [DOI] [PubMed] [Google Scholar]
  • Blackith (1957).Blackith RE. Polymorphism in some Australian locusts and grasshoppers. Biometrics. 1957;13(2):183. doi: 10.2307/2527801. [DOI] [Google Scholar]
  • Bouaïchi, Roessingh & Simpson (1995).Bouaïchi A, Roessingh P, Simpson SJ. An analysis of the behavioural effects of crowding and re-isolation on solitary-reared adult desert locusts (Schistocerca gregaria) and their offspring. Physiological Entomology. 1995;20(3):199–208. doi: 10.1111/j.1365-3032.1995.tb00002.x. [DOI] [Google Scholar]
  • Bouaïchi & Simpson (2003).Bouaïchi A, Simpson SJ. Density-dependent accumulation of phase characteristics in a natural population of the desert locust Schistocerca gregaria. Physiological Entomology. 2003;28(1):25–31. doi: 10.1046/j.1365-3032.2003.00317.x. [DOI] [Google Scholar]
  • Bouaïchi, Simpson & Roessingh (1996).Bouaïchi A, Simpson SJ, Roessingh P. The influence of environmental microstructure on the behavioural phase state and distribution of the desert locust Schistocerca gregaria. Physiological Entomology. 1996;21(4):247–256. doi: 10.1111/j.1365-3032.1996.tb00862.x. [DOI] [Google Scholar]
  • Bramer et al. (2018).Bramer WM, De JGB, Rethlefsen ML, Mast F, Kleijnen J. A systematic approach to searching: an efficient and complete method to develop literature searches. Journal of the Medical Library Association. 2018;106(4):531–541. doi: 10.5195/jmla.2018.283. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Buhl et al. (2006).Buhl C, Sumpter DJT, Couzin ID, Hale JJ, Despland E, Miller ER, Simpson SJ. From disorder to order in marching locusts. Science. 2006;312(5778):1402–1406. doi: 10.1126/science.1125142. [DOI] [PubMed] [Google Scholar]
  • Buhl et al. (2011).Buhl C, Sword GA, Clissold FJ, Simpson SJ. Group structure in locust migratory bands. Behavioral Ecology and Sociobiology. 2011;65(2):265–273. doi: 10.1007/s00265-010-1041-x. [DOI] [Google Scholar]
  • Burrows, Rogers & Ott (2011).Burrows M, Rogers SM, Ott SR. Epigenetic remodelling of brain, body and behaviour during phase change in locusts. Neural Systems & Circuits. 2011;1(1):1–9. doi: 10.1186/2042-1001-1-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Cease et al. (2010).Cease AJ, Hao S, Kang L, Elser JJ, Harrison JF. Are color or high rearing density related to migratory polyphenism in the band-winged grasshopper, Oedaleus asiaticus? Journal of Insect Physiology. 2010;56(8):926–936. doi: 10.1016/j.jinsphys.2010.05.020. [DOI] [PubMed] [Google Scholar]
  • Cease et al. (2017).Cease AJ, Harrison JF, Hao S, Niren DC, Zhang G, Kang L, Elser JJ. Nutritional imbalance suppresses migratory phenotypes of the Mongolian locust (Oedaleus asiaticus) Royal Society Open Science. 2017;4(6):161039. doi: 10.1098/rsos.161039. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Cease et al. (2023).Cease AJ, Trumper EV, Medina H, Bazán FC, Frana J, Harrison J, Joaquin N, Learned J, Roca M, Rojas JE, Talal S, Overson RP. Field bands of marching locust juveniles show carbohydrate, not protein, limitation. Current Research in Insect Science. 2023;4:100069. doi: 10.1016/j.cris.2023.100069. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Chang et al. (2023a).Chang H, Cassau S, Krieger J, Guo X, Knaden M, Kang L, Hansson BS. A chemical defense deters cannibalism in migratory locusts. Science. 2023a;380(6644):537–543. doi: 10.1126/science.ade6155. [DOI] [PubMed] [Google Scholar]
  • Chang et al. (2023b).Chang H, Unni AP, Tom MT, Cao Q, Liu Y, Wang G, Llorca LC, Brase S, Bucks S, Weniger K, Bisch-Knaden S, Hansson BS, Knaden M. Odorant detection in a locust exhibits unusually low redundancy. Current Biology. 2023b;33(24):5427–5438.e5. doi: 10.1016/j.cub.2023.11.017. [DOI] [PubMed] [Google Scholar]
  • Chapuis et al. (2010).Chapuis MP, Crespin L, Estoup A, Augé-Sabatier A, Foucart A, Lecoq M, Michalakis Y. Parental crowding influences life-history traits in Locusta migratoria females. Bulletin of Entomological Research. 2010;100(1):9–17. doi: 10.1017/S0007485309006853. [DOI] [PubMed] [Google Scholar]
  • Chapuis et al. (2008).Chapuis MP, Estoup A, Augé-Sabatier A, Foucart A, Lecoq M, Michalakis Y. Genetic variation for parental effects on the propensity to gregarise in Locusta migratoria. BMC Evolutionary Biology. 2008;8(1):37. doi: 10.1186/1471-2148-8-37. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Chapuis et al. (2011a).Chapuis M-P, Simpson SJ, Blondin L, Sword GA. Taxa-specific heat shock proteins are over-expressed with crowding in the Australian plague locust. Journal of Insect Physiology. 2011a;57(11):1562–1567. doi: 10.1016/j.jinsphys.2011.08.011. [DOI] [PubMed] [Google Scholar]
  • Chapuis et al. (2011b).Chapuis MP, Tohidi-Esfahani D, Dodgson T, Blondin L, Ponton F, Cullen D, Simpson SJ, Sword GA. Assessment and validation of a suite of reverse transcription-quantitative PCR reference genes for analyses of density-dependent behavioural plasticity in the Australian plague locust. BMC Molecular Biology. 2011b;12(1):1–11. doi: 10.1186/1471-2199-12-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Chen et al. (2015a).Chen Q, He J, Ma C, Yu D, Kang L. Syntaxin 1A modulates the sexual maturity rate and progeny egg size related to phase changes in locusts. Insect Biochemistry and Molecular Biology. 2015a;56:1–8. doi: 10.1016/j.ibmb.2014.11.001. [DOI] [PubMed] [Google Scholar]
  • Chen et al. (2022a).Chen D, Hou L, Wei J, Guo S, Cui W, Yang P, Kang L, Wang X. Aggregation pheromone 4-vinylanisole promotes the synchrony of sexual maturation in female locusts. eLife. 2022a;11:427. doi: 10.7554/eLife.74581. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Chen et al. (2015b).Chen B, Li S, Ren Q, Tong X, Zhang X, Kang L. Paternal epigenetic effects of population density on locust phase-related characteristics associated with heat-shock protein expression. Molecular Ecology. 2015b;24(4):851–862. doi: 10.1111/mec.13072. [DOI] [PubMed] [Google Scholar]
  • Chen et al. (2014).Chen KY, Ma B, Wang YN, Chen CH, Zhao YQ, Zheng JX, Ben HC, Zhang LS, Su X, Yang JH, Wei GQ, Zheng DX, Wang XY, Zhu QG, Wang YP, Qin Q. SYRCLE’s risk of bias tool for animal studies. Chinese Journal of Evidence-Based Medicine. 2014;14:1281–1285. doi: 10.7507/1672-2531.20140206. [DOI] [Google Scholar]
  • Chen et al. (2022b).Chen B, Tong X, Zhang X, Gui W, Ai G, Huang L, Ding D, Zhang J, Kang L. Sulfation modification of dopamine in brain regulates aggregative behavior of animals. National Science Review. 2022b;9(4):92. doi: 10.1093/nsr/nwab163. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Chen et al. (2010).Chen S, Yang P, Jiang F, Wei Y, Ma Z, Kang L. De novo analysis of transcriptome dynamics in the migratory locust during the development of phase traits. PLOS ONE. 2010;5(12):e15633. doi: 10.1371/journal.pone.0015633. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Cheu (1952).Cheu SP. Changes in the fat and protein content of the African migratory locust, Locusta migratoria migratorioides (R. & F.) Bulletin of Entomological Research. 1952;43(1):101–109. doi: 10.1017/S0007485300030637. [DOI] [Google Scholar]
  • Cisse et al. (2013).Cisse S, Ghaout S, Mazih A, Babah Ebbe MAO, Benahi AS, Piou C. Effect of vegetation on density thresholds of adult desert locust gregarization from survey data in Mauritania. Entomologia Experimentalis et Applicata. 2013;149(2):159–165. doi: 10.1111/eea.12121. [DOI] [Google Scholar]
  • Cisse et al. (2015a).Cisse S, Ghaout S, Mazih A, Jourdan-Pineau H, Maeno KO, Piou C. Characterizing phase-related differences in behaviour of Schistocerca gregaria with spatial distribution analysis. Entomologia Experimentalis et Applicata. 2015a;156(2):128–135. doi: 10.1111/eea.12318. [DOI] [Google Scholar]
  • Cisse et al. (2015b).Cisse S, Ghaout S, Mazih A, Ould Babah Ebbe MA, Piou C. Estimation of density threshold of gregarization of desert locust hoppers from field sampling in Mauritania. Entomologia Experimentalis et Applicata. 2015b;156(2):136–148. doi: 10.1111/eea.12323. [DOI] [Google Scholar]
  • Cissé et al. (2016).Cissé S, Ghaout S, Ebbe MAB, Kamara S, Piou C. Field verification of the prediction model on desert locust adult phase status from density and vegetation. Journal of Insect Science. 2016;16(1):74. doi: 10.1093/jisesa/iew046. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Cissé et al. (2024).Cissé S, Leménager N, Piou C, Niassy S. Quantitative analysis of behavioural phase difference in Locusta migratoria migratorioides (Reiche & Fairmaire, 1849) (Orthoptera, Acrididae) from the examination of spatial distribution patterns. International Journal of Tropical Insect Science. 2024;44(3):1427–1434. doi: 10.1007/s42690-024-01236-2. [DOI] [Google Scholar]
  • Clynen et al. (2002).Clynen E, Stubbe D, De Loof A, Schoofs L. Peptide differential display: a novel approach for phase transition in locusts. Comparative Biochemistry and Physiology Part B: Biochemistry and Molecular Biology. 2002;132(1):107–115. doi: 10.1016/S1096-4959(01)00538-3. [DOI] [PubMed] [Google Scholar]
  • Collett et al. (1998).Collett M, Despland E, Simpson SJ, Krakauer DC. Spatial scales of desert locust gregarization. Proceedings of the National Academy of Sciences of the United States of America. 1998;95(22):13052–13055. doi: 10.1073/pnas.95.22.13052. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Cui et al. (2024).Cui W, Ge J, Chen D, Nie X, Dong L, Wang X, Kang L. Dibutyl phthalate released by solitary female locusts mediates sexual communication at low density. Proceedings of the National Academy of Sciences of the United States of America. 2024;121:2017. doi: 10.1073/pnas.2401926121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Cullen et al. (2017).Cullen DA, Cease AJ, Latchininsky AV, Ayali A, Berry K, Buhl C, De Keyser R, Foquet B, Hadrich JC, Matheson T, Ott SR, Poot-Pech MA, Robinson BE, Smith JM, Song H, Sword GA, Vanden Broeck J, Verdonck R, Verlinden H, Rogers SM. From molecules to management: mechanisms and consequences of locust phase polyphenism. Advances in Insect Physiology. 2017;53:167–285. doi: 10.1016/bs.aiip.2017.06.002. [DOI] [Google Scholar]
  • Cullen et al. (2010).Cullen DA, Sword GA, Dodgson T, Simpson SJ. Behavioural phase change in the Australian plague locust, Chortoicetes terminifera, is triggered by tactile stimulation of the antennae. Journal of Insect Physiology. 2010;56(8):937–942. doi: 10.1016/j.jinsphys.2010.04.023. [DOI] [PubMed] [Google Scholar]
  • Cullen et al. (2022).Cullen DA, Sword GA, Rosenthal GG, Simpson SJ, Dekempeneer E, Hertog MLATM, Nicolaï BM, Caes R, Mannaerts L, Vanden BJ. Sexual repurposing of juvenile aposematism in locusts. Proceedings of the National Academy of Sciences of the United States of America. 2022;119(34):1–9. doi: 10.1073/pnas.2200759119. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Cullen, Sword & Simpson (2012).Cullen DA, Sword GA, Simpson SJ. Optimizing multivariate behavioural syndrome models in locusts using automated video tracking. Animal Behaviour. 2012;84(4):771–784. doi: 10.1016/j.anbehav.2012.06.031. [DOI] [Google Scholar]
  • Dadd (1961).Dadd RH. Observations on the effects of carotene on the growth and pigmentation of locusts. Bulletin of Entomological Research. 1961;52(1):63–81. doi: 10.1017/S0007485300055280. [DOI] [Google Scholar]
  • De Loof et al. (2006).De Loof A, Claeys I, Simonet G, Verleyen P, Vandermissen T, Sas F, Huybrechts J. Molecular markers of phase transition in locusts. Insect Science. 2006;13(1):3–12. doi: 10.1111/j.1744-7917.2006.00061.x. [DOI] [Google Scholar]
  • Dean (1968).Dean GJW. Studies of factors affecting the formation of hopper bands of the red locust (Nomadacris septemfasciata) in an outbreak area. The Journal of Applied Ecology. 1968;5(2):273. doi: 10.2307/2401562. [DOI] [Google Scholar]
  • Deng (2002).Deng AL. Effects of isolation and crowding on the haemolymph pigment composition of the desert locust, Schistocerca gregaria (Orth., Acrididae) Journal of Applied Entomology. 2002;126(5):244–248. doi: 10.1046/j.1439-0418.2002.00646.x. [DOI] [Google Scholar]
  • Deng et al. (1996).Deng AL, Torto B, Hassanali A, Ali EE. Effects of shifting to crowded or solitary conditions on pheromone release and morphometrics of the desert locust, Schistocerca gregaria (Forskal) (Orthoptera: Acrididae) Journal of Insect Physiology. 1996;42(8):771–776. doi: 10.1016/0022-1910(96)00015-7. [DOI] [Google Scholar]
  • Despland (2001).Despland E. Role of olfactory and visual cues in the attraction/repulsion responses to conspecifics by gregarious and solitarious desert locusts. Journal of Insect Behavior. 2001;14(1):35–46. doi: 10.1023/A:1007845528500. [DOI] [Google Scholar]
  • Despland (2003).Despland E. Fractal index captures the role of vegetation clumping in locust swarming. Functional Ecology. 2003;17(3):315–322. doi: 10.1046/j.1365-2435.2003.00728.x. [DOI] [Google Scholar]
  • Despland, Rosenberg & Simpson (2004).Despland E, Rosenberg J, Simpson SJ. Landscape structure and locust swarming: a satellite’s eye view. Ecography. 2004;27(3):381–391. doi: 10.1111/j.0906-7590.2004.03779.x. [DOI] [Google Scholar]
  • Despland & Simpson (2000).Despland E, Simpson SJ. Small-scale vegetation patterns in the parental environment influence the phase state of hatchlings of the desert locust. Physiological Entomology. 2000;25(1):74–81. doi: 10.1046/j.1365-3032.2000.00166.x. [DOI] [Google Scholar]
  • Despland & Simpson (2005a).Despland E, Simpson SJ. Food choices of solitarious and gregarious locusts reflect cryptic and aposematic antipredator strategies. Animal Behaviour. 2005a;69(2):471–479. doi: 10.1016/j.anbehav.2004.04.018. [DOI] [Google Scholar]
  • Despland & Simpson (2005b).Despland E, Simpson SJ. Surviving the change to warning colouration: density-dependent polyphenism suggests a route for the evolution of aposematism. Chemoecology. 2005b;15(2):69–75. doi: 10.1007/s00049-005-0296-6. [DOI] [Google Scholar]
  • Dillon, Vennard & Charnley (2002).Dillon RJ, Vennard CT, Charnley AK. A note: gut bacteria produce components of a locust cohesion pheromone. Journal of Applied Microbiology. 2002;92(4):759–763. doi: 10.1046/j.1365-2672.2002.01581.x. [DOI] [PubMed] [Google Scholar]
  • Dirsh (1951).Dirsh VM. A new biometrical phase character in locusts. Nature. 1951;167(4242):281–282. doi: 10.1038/167281b0. [DOI] [PubMed] [Google Scholar]
  • Du et al. (2022).Du B, Ding D, Ma C, Guo W, Kang L. Locust density shapes energy metabolism and oxidative stress resulting in divergence of flight traits. Proceedings of the National Academy of Sciences of the United States of America. 2022;119:e2115753118. doi: 10.1073/pnas.2115753118. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Dudley (1964).Dudley B. The effects of temperature and humidity upon certain morphometric and colour characters of the Desert Locust (Schistocerca gregaria Forskål) reared under controlled conditions. Transactions of the Royal Entomological Society of London. 1964;116(6):115–129. doi: 10.1111/j.1365-2311.1964.tb00827.x. [DOI] [Google Scholar]
  • el Jundi & Homberg (2012).el Jundi B, Homberg U. Receptive field properties and intensity-response functions of polarization-sensitive neurons of the optic tubercle in gregarious and solitarious locusts. Journal of Neurophysiology. 2012;108(6):1695–1710. doi: 10.1152/jn.01023.2011. [DOI] [PubMed] [Google Scholar]
  • Elder (1996).Elder RJ. Morphometrics of field populations of Austracris guttulosa (Walker) (Orthoptera: Acrididae) in Australia. Australian Journal of Entomology. 1996;35(4):345–347. doi: 10.1111/j.1440-6055.1996.tb01416.x. [DOI] [Google Scholar]
  • Elliot et al. (2003).Elliot SL, Blanford S, Horton CM, Thomas MB. Fever and phenotype: transgenerational effect of disease on desert locust phase state. Ecology Letters. 2003;6(9):830–836. doi: 10.1046/j.1461-0248.2003.00487.x. [DOI] [Google Scholar]
  • Elliot et al. (2005).Elliot SL, Horton CM, Blanford S, Thomas MB. Impacts of fever on locust life-history traits: costs or benefits? Biology Letters. 2005;1(2):181–184. doi: 10.1098/rsbl.2004.0279. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Ellis (1959a).Ellis PE. Learning and social aggregation in locust hoppers. Animal Behaviour. 1959a;7:91-IN4. doi: 10.1016/0003-3472(59)90037-5. [DOI] [Google Scholar]
  • Ellis (1959b).Ellis PE. Some factors influencing phase characters in the nymphs of the locust, Locusta migratoria migratorioides (R. and F.) Insectes Sociaux. 1959b;6(1):21–39. doi: 10.1007/BF02223790. [DOI] [Google Scholar]
  • Ellis (1963a).Ellis PE. The influence of some environmental factors on learning and aggregation in locust hoppers. Animal Behaviour. 1963a;11(1):142–151. doi: 10.1016/0003-3472(63)90022-8. [DOI] [Google Scholar]
  • Ellis (1963b).Ellis PE. Changes in the social aggregation of locust hoppers with changes in rearing conditions. Animal Behaviour. 1963b;11(1):152–160. doi: 10.1016/0003-3472(63)90023-X. [DOI] [Google Scholar]
  • Ellis (1964).Ellis PE. Marching and colour in locust hoppers in relation to social factors. Behaviour. 1964;23:177–191. doi: 10.1163/156853964X00139. [DOI] [Google Scholar]
  • Ellis & Carlisle (1961).Ellis P, Carlisle DB. The prothoracic gland and colour change in locusts. Nature. 1961;190(4773):368–369. doi: 10.1038/190368a0. [DOI] [Google Scholar]
  • Ellis & Pearce (1962).Ellis PE, Pearce A. Innate and learned behaviour patterns that lead to group formation in locust hoppers. Animal Behaviour. 1962;10:305–318. doi: 10.1016/0003-3472(62)90054-4. [DOI] [Google Scholar]
  • Ely et al. (2006).Ely S, Mahamat H, Njagi PGN, Omer Bashir M, El-Tom El-Amin S, Hassanali A. Mate location mechanism and phase-related mate preferences in solitarius desert locust, Schistocerca gregaria. Journal of Chemical Ecology. 2006;32(5):1057–1069. doi: 10.1007/s10886-006-9045-8. [DOI] [PubMed] [Google Scholar]
  • Ernst et al. (2015).Ernst UR, Van Hiel MB, Depuydt G, Boerjan B, De Loof A, Schoofs L. Epigenetics and locust life phase transitions. Journal of Experimental Biology. 2015;218(1):88–99. doi: 10.1242/jeb.107078. [DOI] [PubMed] [Google Scholar]
  • Falckenhayn et al. (2013).Falckenhayn C, Boerjan B, Gü R, Frohme M, Schoofs L, Lyko F. Characterization of genome methylation patterns in the desert locust Schistocerca gregaria. Journal of Experimental Biology. 2013;216(Suppl. 1):1423–1429. doi: 10.1242/jeb.080754. [DOI] [PubMed] [Google Scholar]
  • Farrow (1977).Farrow R. Maturation and fecundity of the spur-throated locust, Austracris guttulosa (Walker), in New South Wales during the 1974/75 plague. Australian Journal of Entomology. 1977;16(1):27–39. doi: 10.1111/j.1440-6055.1977.tb00054.x. [DOI] [Google Scholar]
  • Farrow (1982).Farrow R. Population dynamics of the Australian plague locust, Chortoicetes terminifera (Walker) in Central Western New South Wales Iii. Analysis of population processes. Australian Journal of Zoology. 1982;30(4):569–580. doi: 10.1071/ZO9820569. [DOI] [Google Scholar]
  • Faure (1932).Faure JC. The phases of locusts in South Africa. Bulletin of Entomological Research. 1932;23(3):293–405. doi: 10.1017/S0007485300004223. [DOI] [Google Scholar]
  • Feng et al. (2015).Feng YJ, Ge Y, Tan SQ, Zhang KQ, Ji R, Shi WP. Effect of Paranosema locustae (Microsporidia) on the behavioural phases of Locusta migratoria (Orthoptera: Acrididae) in the laboratory. Biocontrol Science and Technology. 2015;25(1):48–55. doi: 10.1080/09583157.2014.945902. [DOI] [Google Scholar]
  • Foquet, Castellanos & Song (2021).Foquet B, Castellanos AA, Song H. Comparative analysis of phenotypic plasticity sheds light on the evolution and molecular underpinnings of locust phase polyphenism. Scientific Reports. 2021;11(1):11925. doi: 10.1038/s41598-021-91317-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Foquet et al. (2022).Foquet B, Little DW, Medina-Durán JH, Song H. The time course of behavioural phase change in the central American locust Schistocerca piceifrons. Journal of Experimental Biology. 2022;225(23):371. doi: 10.1242/jeb.244621. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Foquet & Song (2021).Foquet B, Song H. The role of the neuropeptide [His7]-corazonin on phase-related characteristics in the Central American locust. Journal of Insect Physiology. 2021;131:104244. doi: 10.1016/j.jinsphys.2021.104244. [DOI] [PubMed] [Google Scholar]
  • Franc et al. (2005).Franc A, Rabesisoa L, Luong-Skovmand MH, Lecoq M. Phase polymorphism in the red locust, Nomadacris septemfasciata (Orthoptera: Acrididae) in Madagascar. International Journal of Tropical Insect Science. 2005;25(03):182–189. doi: 10.1079/IJT200572. [DOI] [Google Scholar]
  • Fuchs, Kutsch & Ayali (2003).Fuchs E, Kutsch W, Ayali A. Neural correlates to flight-related density-dependent phase characteristics in locusts. Journal of Neurobiology. 2003;57(2):152–162. doi: 10.1002/neu.10261. [DOI] [PubMed] [Google Scholar]
  • Fuzeau-Braesch et al. (1988).Fuzeau-Braesch S, Genin E, Jullien R, Knowles E, Papin C. Composition and role of volatile substances in atmosphere surrounding two gregarious locusts, Locusta migratoria and Schistocerca gregaria. Journal of Chemical Ecology. 1988;14(3):1023–1033. doi: 10.1007/BF01018790. [DOI] [PubMed] [Google Scholar]
  • Gaten et al. (2012).Gaten E, Huston SJ, Dowse HB, Matheson T. Solitary and gregarious locusts differ in circadian rhythmicity of a visual output neuron. Journal of Biological Rhythms. 2012;27(3):196–205. doi: 10.1177/0748730412440860. [DOI] [PubMed] [Google Scholar]
  • Genin, Jullien & Fuzeau-Braesch (1987).Genin E, Jullien R, Fuzeau-Braesch S. New natural aliphatic ethers in cuticular waxes of gregarious and solitary locusts Locusta migratoria cinerascens (II) Journal of Chemical Ecology. 1987;13(2):265–282. doi: 10.1007/BF01025887. [DOI] [PubMed] [Google Scholar]
  • Genin et al. (1986).Genin E, Jullien R, Perez F, Fuzeau-Braesch S. Cuticular hydrocarbons of gregarious and solitary locusts Locusta migratoria cinerascens. Journal of Chemical Ecology. 1986;12(6):1213–1238. doi: 10.1007/BF01012343. [DOI] [PubMed] [Google Scholar]
  • Georgiou et al. (2021).Georgiou F, Buhl J, Green JEF, Lamichhane B, Thamwattana N. Modelling locust foraging: how and why food affects group formation. PLOS Computational Biology. 2021;17(7):e1008353. doi: 10.1371/journal.pcbi.1008353. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Geva et al. (2010).Geva N, Guershon M, Orlova M, Ayali A. Memoirs of a locust: density-dependent behavioral change as a model for learning and memory. Neurobiology of Learning and Memory. 2010;93(2):175–182. doi: 10.1016/j.nlm.2009.09.008. [DOI] [PubMed] [Google Scholar]
  • Gillett (1988).Gillett SD. Solitarization in the desert locust, Schistocerca gregaria (Forskål) (Orthoptera: Acrididae) Bulletin of Entomological Research. 1988;78(4):623–631. doi: 10.1017/S0007485300015479. [DOI] [Google Scholar]
  • Golov et al. (2018).Golov Y, Rillich J, Douek M, Harari AR, Ayali A. Sexual behavior of the desert locust during intra- and inter-phase interactions. Journal of Insect Behavior. 2018;31(6):629–641. doi: 10.1007/s10905-018-9703-z. [DOI] [Google Scholar]
  • Goodwin & Srisukh (1951).Goodwin TW, Srisukh S. Biochemistry of locusts. 5. The green pigment of the haemolymph and integument of solitary locusts (Locusta migratoria migratorioides, R. & F., and Schistocerca gregaria, Forsk.) Biochemical Journal. 1951;48:199–203. doi: 10.1042/bj0480199. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Gordon et al. (2014).Gordon SD, Jackson JC, Rogers SM, Windmill JFC. Listening to the environment: hearing differences from an epigenetic effect in solitarious and gregarious locusts. Proceedings of the Royal Society B: Biological Sciences. 2014;281:20141693. doi: 10.1098/rspb.2014.1693. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Gray et al. (2009).Gray LJ, Sword GA, Anstey ML, Clissold FJ, Simpson SJ. Behavioural phase polyphenism in the Australian plague locust (Chortoicetes terminifera) Biology Letters. 2009;5(3):306–309. doi: 10.1098/rsbl.2008.0764. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Guo et al. (2023).Guo S, Hou L, Dong L, Nie X, Kang L, Wang X. PLIN2-induced ectopic lipid accumulation promotes muscle ageing in gregarious locusts. Nature Ecology and Evolution. 2023;7(6):914–926. doi: 10.1038/s41559-023-02059-z. [DOI] [PubMed] [Google Scholar]
  • Guo et al. (2016).Guo S, Jiang F, Yang P, Liu Q, Wang X, Kang L. Characteristics and expression patterns of histone-modifying enzyme systems in the migratory locust. Insect Biochemistry and Molecular Biology. 2016;76:18–28. doi: 10.1016/j.ibmb.2016.06.010. [DOI] [PubMed] [Google Scholar]
  • Guo & Kang (2025).Guo X, Kang L. Phenotypic plasticity in locusts: trade-off between migration and reproduction. Annual Review of Entomology. 2025;70(1):23–44. doi: 10.1146/annurev-ento-013124-124333. [DOI] [PubMed] [Google Scholar]
  • Guo et al. (2018).Guo X, Ma Z, Du B, Li T, Li W, Xu L, He J, Kang L. Dop1 enhances conspecific olfactory attraction by inhibiting miR-9a maturation in locusts. Nature Communications. 2018;9(1):1193. doi: 10.1038/s41467-018-03437-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Guo et al. (2022).Guo N, Ma H, Han H, Yan F, Gao H, Zhang Y, Gao S. Phenotypic and differential gene expression analyses of phase transition in Oedaleus Asiaticus under high-density population stress. Insects. 2022;13(11):1034. doi: 10.3390/insects13111034. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Guo, Ma & Kang (2013).Guo X, Ma Z, Kang L. Serotonin enhances solitariness in phase transition of the migratory locust. Frontiers in Behavioral Neuroscience. 2013;7:1–12. doi: 10.3389/fnbeh.2013.00129. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Guo, Ma & Kang (2015).Guo X, Ma Z, Kang L. Two dopamine receptors play different roles in phase change of the migratory locust. Frontiers in Behavioral Neuroscience. 2015;9(371):1–13. doi: 10.3389/fnbeh.2015.00080. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Guo et al. (2020a).Guo W, Song J, Yang P, Chen X, Chen D, Ren D, Kang L, Wang X. Juvenile hormone suppresses aggregation behavior through influencing antennal gene expression in locusts. PLOS Genetics. 2020a;16(4):e1008762. doi: 10.1371/journal.pgen.1008762. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Guo et al. (2011).Guo W, Wang X, Ma Z, Xue L, Han J, Yu D, Kang L. CSP and takeout genes modulate the switch between attraction and repulsion during behavioral phase change in the migratory locust. PLOS Genetics. 2011;7(2):e1001291. doi: 10.1371/journal.pgen.1001291. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Guo et al. (2020b).Guo X, Yu Q, Chen D, Wei J, Yang P, Yu J, Wang X, Kang L. 4-Vinylanisole is an aggregation pheromone in locusts. Nature. 2020b;584(7822):584–588. doi: 10.1038/s41586-020-2610-4. [DOI] [PubMed] [Google Scholar]
  • Guttal et al. (2012).Guttal V, Romanczuk P, Simpson SJ, Sword GA, Couzin ID. Cannibalism can drive the evolution of behavioural phase polyphenism in locusts. Ecology Letters. 2012;15(10):1158–1166. doi: 10.1111/j.1461-0248.2012.01840.x. [DOI] [PubMed] [Google Scholar]
  • Hägele et al. (2000).Hägele BF, Oag V, Bouaïchi A, McCaffery AR, Simpson SJ. The role of female accessory glands in maternal inheritance of phase in the desert locust Schistocerca gregaria. Journal of Insect Physiology. 2000;46(3):275–280. doi: 10.1016/S0022-1910(99)00180-8. [DOI] [PubMed] [Google Scholar]
  • Harano et al. (2011).Harano K, Tanaka S, Maeno K, Watari Y, Saito O. Effects of parental and progeny rearing densities on locomotor activity of 1st-stadium nymphs in the migratory locust, Locusta migratoria: an analysis by long-term monitoring using an actograph. Journal of Insect Physiology. 2011;57(1):27–34. doi: 10.1016/j.jinsphys.2010.09.001. [DOI] [PubMed] [Google Scholar]
  • Harano et al. (2012).Harano K, Tanaka S, Watari Y, Saito O. Phase-dependent locomotor activity in first-stadium nymphs of the desert locust, Schistocerca gregaria: effects of parental and progeny rearing density. Journal of Insect Physiology. 2012;58(5):718–725. doi: 10.1016/j.jinsphys.2012.02.007. [DOI] [PubMed] [Google Scholar]
  • He et al. (2016).He J, Chen Q, Wei Y, Jiang F, Yang M, Hao S, Guo X, Chen D, Kang L. MicroRNA-276 promotes egg-hatching synchrony by up-regulating brm in locusts. Proceedings of the National Academy of Sciences of the United States of America. 2016;113(3):584–589. doi: 10.1073/pnas.1521098113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • He et al. (2022).He J, Zhu Y, Wang B, Yang P, Guo W, Liang B, Jiang F, Wang H, Wei Y, Kang L. piRNA-guided intron removal from pre-mRNAs regulates density-dependent reproductive strategy. Cell Reports. 2022;39(4):110593. doi: 10.1016/j.celrep.2022.110593. [DOI] [PubMed] [Google Scholar]
  • Heifetz et al. (1997).Heifetz Y, Boekhoff I, Breer H, Applebaum SW. Cuticular hydrocarbons control behavioural phase transition in Schistocerca gregaria nymphs and elicit biochemical responses in antennae. Insect Biochemistry and Molecular Biology. 1997;27(6):563–568. doi: 10.1016/S0965-1748(97)00031-3. [DOI] [Google Scholar]
  • Heifetz et al. (1998).Heifetz Y, Miloslavski I, Aizenshtat Z, Applebaum SW. Cuticular surface hydrocarbons of desert locust nymphs, Schistocerca gregaria, and their effect on phase behavior. Journal of Chemical Ecology. 1998;24(6):1033–1047. doi: 10.1023/A:1022302519373. [DOI] [Google Scholar]
  • Heifetz, Voet & Applebaum (1996).Heifetz Y, Voet H, Applebaum SW. Factors affecting behavioral phase transition in the desert locust, Schistocerca gregaria (Forskål) (Orthoptera: Acrididae) Journal of Chemical Ecology. 1996;22(9):1717–1734. doi: 10.1007/BF02272410. [DOI] [PubMed] [Google Scholar]
  • Hiroyoshi et al. (2021).Hiroyoshi S, Mitsunaga T, Ganaha-Kikumura T, Reddy GVP. Effects of age, phase variation and pheromones on male sperm storage in the desert locust, Schistocerca gregaria. Insects. 2021;12(7):642. doi: 10.3390/insects12070642. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Hosni et al. (2024).Hosni EM, Al-Khalaf AA, Nasser MG, ElShahed SM, Alashaal SA. Locusta migratoria (L.) (Orthoptera) in a warming world: unravelling the ecological consequences of climate change using GIS. Biodiversity Data Journal. 2024;12(3):643. doi: 10.3897/bdj.12.e115845. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Hoste et al. (2002).Hoste B, Simpson S, Tanaka S, De Loof A, Breuer M. A comparison of phase-related shifts in behavior and morphometrics of an albino strain, deficient in [His7]-corazonin, and a normally colored Locusta migratoria strain. Journal of Insect Physiology. 2002;48(8):791–801. doi: 10.1016/S0022-1910(02)00106-3. [DOI] [PubMed] [Google Scholar]
  • Hou et al. (2020).Hou L, Wang X, Yang P, Li B, Lin Z, Kang L, Wang X. DNA methyltransferase 3 participates in behavioral phase change in the migratory locust. Insect Biochemistry and Molecular Biology. 2020;121:103374. doi: 10.1016/j.ibmb.2020.103374. [DOI] [PubMed] [Google Scholar]
  • Hou et al. (2017).Hou L, Yang P, Jiang F, Liu Q, Wang X, Kang L. The neuropeptide F/nitric oxide pathway is essential for shaping locomotor plasticity underlying locust phase transition. eLife. 2017;6:1531. doi: 10.7554/eLife.22526. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Ibrahim (2001).Ibrahim KM. Plague dynamics and population genetics of the desert locust: can turnover during recession maintain population genetic structure ? Molecular Ecology. 2001;10(3):581–591. doi: 10.1046/j.1365-294x.2001.01212.x. [DOI] [PubMed] [Google Scholar]
  • Ibrahim, Sourrouille & Hewitt (2000).Ibrahim KM, Sourrouille P, Hewitt GM. Are recession populations of the desert locust (Schistocerca gregaria) remnants of past swarms? Molecular Ecology. 2000;9(6):783–791. doi: 10.1046/j.1365-294x.2000.00932.x. [DOI] [PubMed] [Google Scholar]
  • Ignell, Anton & Hansson (1998).Ignell R, Anton S, Hansson BS. Central nervous processing of behaviourally relevant odours in solitary and gregarious fifth instar locusts, Schistocerca gregaria. Journal of Comparative Physiology-A Sensory, Neural, and Behavioral Physiology. 1998;183(4):453–465. doi: 10.1007/s003590050271. [DOI] [Google Scholar]
  • Ignell, Anton & Hansson (1999).Ignell R, Anton S, Hansson BS. Integration of behaviourally relevant odours at the central nervous level in solitary and gregarious third instar locusts, Schistocerca gregaria. Journal of Insect Physiology. 1999;45(11):993–1000. doi: 10.1016/S0022-1910(99)00080-3. [DOI] [PubMed] [Google Scholar]
  • Inayatullah, El Bashir & Hassanali (1994).Inayatullah C, El Bashir S, Hassanali A. Sexual behavior and communication in the desert locust, Schistocerca gregaria (Orthoptera: Acrididae): sex pheromone in Solitaria. Environmental Entomology. 1994;23(6):1544–1551. doi: 10.1093/ee/23.6.1544. [DOI] [Google Scholar]
  • Injeyan & Tobe (1981a).Injeyan HS, Tobe SS. Phase polymorphism in Schistocerca gregaria: assessment of juvenile hormone synthesis in relation to vitellogenesis. Journal of Insect Physiology. 1981a;27(3):203–210. doi: 10.1016/0022-1910(81)90129-3. [DOI] [Google Scholar]
  • Injeyan & Tobe (1981b).Injeyan HS, Tobe SS. Phase polymorphism in Schistocerca gregaria: reproductive parameters. Journal of Insect Physiology. 1981b;27(2):97–102. doi: 10.1016/0022-1910(81)90115-3. [DOI] [Google Scholar]
  • Islam et al. (1994a).Islam MS, Roessingh P, Simpson SJ, McCaffery AR. Parental effects on the behaviour and colouration of nymphs of the desert locust Schistocerca gregaria. Journal of Insect Physiology. 1994a;40(2):173–181. doi: 10.1016/0022-1910(94)90089-2. [DOI] [Google Scholar]
  • Islam et al. (1994b).Islam MS, Roessingh P, Simpson SJ, McCaffery AR. Effects of population density experienced by parents during mating and oviposition on the phase of hatchling desert locusts, Schistocerca gregaria. Proceedings of the Royal Society of London. Series B: Biological Sciences. 1994b;257(1348):93–98. doi: 10.1098/rspb.1994.0099. [DOI] [Google Scholar]
  • Jiang et al. (2012).Jiang F, Yang M, Guo W, Wang X, Kang L. Large-scale transcriptome analysis of retroelements in the Migratory Locust, Locusta migratoria. PLOS ONE. 2012;7(7):e40532. doi: 10.1371/journal.pone.0040532. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Kang et al. (2004).Kang L, Chen XY, Zhou Y, Liu BW, Zheng W, Li RQ, Wang J, Yu J. The analysis of large-scale gene expression correlated to the phase of the migratory locust. Proceedings of the National Academy of Sciences of the United States of America. 2004;101(51):17611–17615. doi: 10.1073/pnas.0407753101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Kang et al. (2023).Kang X, Yang M, Cui X, Wang H, Kang L. Spatially differential regulation of ATF2 phosphorylation contributes to warning coloration of gregarious locusts. Science Advances. 2023;9:1–15. doi: 10.1126/sciadv.adi5168. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Kennedy (1956).Kennedy JS. Phase transformation in locust biology. Biological Reviews. 1956;31(3):349–370. doi: 10.1111/j.1469-185X.1956.tb01595.x. [DOI] [Google Scholar]
  • Khamis et al. (2015).Khamis FM, Mireji PO, Osir EO, Imbuga MO, Hassanali A. Biochemical changes in developing embryos of Schistocerca gregaria (Orthoptera: Acrididae) induced by pheromone produced by ovipositing gregarious females. International Journal of Tropical Insect Science. 2015;35(03):125–131. doi: 10.1017/S1742758415000119. [DOI] [Google Scholar]
  • Kimathi et al. (2020).Kimathi E, Tonnang HEZ, Subramanian S, Cressman K, Abdel-Rahman EM, Tesfayohannes M, Niassy S, Torto B, Dubois T, Tanga CM, Kassie M, Ekesi S, Mwangi D, Kelemu S. Prediction of breeding regions for the desert locust Schistocerca gregaria in East Africa. Scientific Reports. 2020;10(1):11937. doi: 10.1038/s41598-020-68895-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Lavy et al. (2019).Lavy O, Gophna U, Gefen E, Ayali A. The effect of density-dependent phase on the locust gut bacterial composition. Frontiers in Microbiology. 2019;9:1675. doi: 10.3389/fmicb.2018.03020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Lavy et al. (2020).Lavy O, Gophna U, Gefen E, Ayali A. Dynamics of bacterial composition in the locust reproductive tract are affected by the density-dependent phase. FEMS Microbiology Ecology. 2020;96(4):1–10. doi: 10.1093/femsec/fiaa044. [DOI] [PubMed] [Google Scholar]
  • Lavy et al. (2022).Lavy O, Lewin-Epstein O, Bendett Y, Gophna U, Gefen E, Hadany L, Ayali A. Microbiome-related aspects of locust density-dependent phase transition. Environmental Microbiology. 2022;24(1):507–516. doi: 10.1111/1462-2920.15883. [DOI] [PubMed] [Google Scholar]
  • Lecoq, Chamouine & Luong-Skovmand (2011).Lecoq M, Chamouine A, Luong-Skovmand M-H. Phase-dependent color polyphenism in field populations of red locust nymphs (Nomadacris septemfasciata Serv.) in Madagascar. Psyche: A Journal of Entomology. 2011;2011(4):1–12. doi: 10.1155/2011/105352. [DOI] [Google Scholar]
  • Lee et al. (2018).Lee GS, Nguyen P, Choi A-Y, Kim A-Y, Yu Y, Jung JK, Koh YH. Coding and long non-coding RNAs regulating adult migratory locust (Locusta migratoria) brain polyphenism revealed via whole transcriptome analyses. Journal of Asia-Pacific Entomology. 2018;21(1):58–68. doi: 10.1016/j.aspen.2017.11.007. [DOI] [Google Scholar]
  • Lehmann et al. (2024).Lehmann J, Günzel Y, Khosravian M, Cassau S, Kraus S, Libnow JS, Chang H, Hansson BS, Breer H, Couzin-Fuchs E, Fleischer J, Krieger J. SNMP1 is critical for sensitive detection of the desert locust aromatic courtship inhibition pheromone phenylacetonitrile. BMC Biology. 2024;22(1):R364. doi: 10.1186/s12915-024-01941-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Lenz et al. (2001).Lenz EM, Hägele BF, Wilson ID, Simpson SJ. High resolution 1H NMR spectroscopic studies of the composition of the haemolymph of crowd- and solitary-reared nymphs of the desert locust, Schistocerca gregaria. Insect Biochemistry and Molecular Biology. 2001;32(1):51–56. doi: 10.1016/S0965-1748(01)00078-9. [DOI] [PubMed] [Google Scholar]
  • Lester et al. (2005).Lester LR, Grach C, Paul Pener M, Simpson SJ. Stimuli inducing gregarious colouration and behaviour in nymphs of Schistocerca gregaria. Journal of Insect Physiology. 2005;51(7):737–747. doi: 10.1016/j.jinsphys.2005.03.015. [DOI] [PubMed] [Google Scholar]
  • Li et al. (2020a).Li T, Chen B, Yang P, Wang D, Du B, Kang L. Long non-coding RNA derived from lncRNA-mRNA co-expression networks modulates the locust phase change. Genomics, Proteomics & Bioinformatics. 2020a;18(6):664–678. doi: 10.1016/j.gpb.2020.05.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Li et al. (2020b).Li A, Yin Y, Zhang Y, Zhang L, Zhang K, Shen J, Tan S, Shi W. Effects of Paranosema locustae (Microsporidia) on the development and morphological phase transformation of Locusta migratoria (Orthoptera: Acrididae) through modulation of the neurotransmitter taurine. Journal of Integrative Agriculture. 2020b;19(1):204–210. doi: 10.1016/S2095-3119(19)62637-7. [DOI] [Google Scholar]
  • Li et al. (2016).Li Y, Zhang J, Chen D, Yang P, Jiang F, Wang X, Kang L. CRISPR/Cas9 in locusts: successful establishment of an olfactory deficiency line by targeting the mutagenesis of an odorant receptor co-receptor (Orco) Insect Biochemistry and Molecular Biology. 2016;79:27–35. doi: 10.1016/j.ibmb.2016.10.003. [DOI] [PubMed] [Google Scholar]
  • Loher (1961).Loher W. The chemical acceleration of the maturation process and its hormonal control in the male of the desert locust. Proceedings of the Royal Society of London. Series B. Biological Sciences. 1961;153(952):380–397. doi: 10.1098/rspb.1961.0008. [DOI] [Google Scholar]
  • Ma et al. (2011).Ma Z, Guo W, Guo X, Wang X, Kang L. Modulation of behavioral phase changes of the migratory locust by the catecholamine metabolic pathway. Proceedings of the National Academy of Sciences of the United States of America. 2011;108(10):3882–3887. doi: 10.1073/pnas.1015098108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Ma et al. (2015).Ma Z, Guo X, Lei H, Li T, Hao S, Kang L. Octopamine and tyramine respectively regulate attractive and repulsive behavior in locust phase changes. Scientific Reports. 2015;5(1):1–11. doi: 10.1038/srep08036. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Ma, Guo & Liu (2020).Ma Z, Guo X, Liu J. Translocator protein mediates olfactory repulsion. FASEB Journal. 2020;34(1):513–524. doi: 10.1096/fj.201900528RR. [DOI] [PubMed] [Google Scholar]
  • Ma & Liu (2020).Ma Z, Liu J. Retinoid X receptor modulates olfactory attraction through Gα signaling in the migratory locusts. Insect Biochemistry and Molecular Biology. 2020;116:103265. doi: 10.1016/j.ibmb.2019.103265. [DOI] [PubMed] [Google Scholar]
  • Ma, Liu & Guo (2019).Ma Z, Liu J, Guo X. A retinal-binding protein mediates olfactory attraction in the migratory locusts. Insect Biochemistry and Molecular Biology. 2019;114:103214. doi: 10.1016/j.ibmb.2019.103214. [DOI] [PubMed] [Google Scholar]
  • Maeno, Gotoh & Tanaka (2004).Maeno K, Gotoh T, Tanaka S. Phase-related morphological changes induced by [His 7]-corazonin in two species of locusts, Schistocerca gregaria and Locusta migratoria (Orthoptera: Acrididae) Bulletin of Entomological Research. 2004;94(4):349–357. doi: 10.1079/ber2004310. [DOI] [PubMed] [Google Scholar]
  • Maeno, Piou & Ghaout (2020).Maeno KO, Piou C, Ghaout S. The desert locust, Schistocerca gregaria, plastically manipulates egg size by regulating both egg numbers and production rate according to population density. Journal of Insect Physiology. 2020;122:104020. doi: 10.1016/j.jinsphys.2020.104020. [DOI] [PubMed] [Google Scholar]
  • Maeno, Piou & Leménager (2023).Maeno KO, Piou C, Leménager N. Egg size-dependent embryonic development in the desert locust, Schistocerca gregaria. Journal of Insect Physiology. 2023;145:104467. doi: 10.1016/j.jinsphys.2022.104467. [DOI] [PubMed] [Google Scholar]
  • Maeno et al. (2013).Maeno KO, Piou C, Ould Babah MA, Nakamura S. Eggs and hatchlings variations in desert locusts: phase related characteristics and starvation tolerance. Frontiers in Physiology. 2013;4:1–10. doi: 10.3389/fphys.2013.00345. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Maeno & Tanaka (2007).Maeno K, Tanaka S. Effects of hatchling body colour and rearing density on body colouration in last-stadium nymphs of the desert locust, Schistocerca gregaria. Physiological Entomology. 2007;32(1):87–94. doi: 10.1111/j.1365-3032.2006.00546.x. [DOI] [Google Scholar]
  • Maeno & Tanaka (2008).Maeno K, Tanaka S. Maternal effects on progeny size, number and body color in the desert locust, Schistocerca gregaria: density- and reproductive cycle-dependent variation. Journal of Insect Physiology. 2008;54(6):1072–1080. doi: 10.1016/j.jinsphys.2008.04.010. [DOI] [PubMed] [Google Scholar]
  • Maeno & Tanaka (2009a).Maeno K, Tanaka S. Artificial miniaturization causes eggs laid by crowd-reared (gregarious) desert locusts to produce green (solitarious) offspring in the desert locust, Schistocerca gregaria. Journal of Insect Physiology. 2009a;55(9):849–854. doi: 10.1016/j.jinsphys.2009.05.012. [DOI] [PubMed] [Google Scholar]
  • Maeno & Tanaka (2009b).Maeno K, Tanaka S. Is juvenile hormone involved in the maternal regulation of egg size and progeny characteristics in the desert locust? Journal of Insect Physiology. 2009b;55(11):1021–1028. doi: 10.1016/j.jinsphys.2009.08.014. [DOI] [PubMed] [Google Scholar]
  • Maeno & Tanaka (2010a).Maeno K, Tanaka S. Patterns of nymphal development in the desert locust, Schistocerca gregaria, with special reference to phase-dependent growth and extra molting. Applied Entomology and Zoology. 2010a;45(3):513–519. doi: 10.1303/aez.2010.513. [DOI] [Google Scholar]
  • Maeno & Tanaka (2010b).Maeno K, Tanaka S. Epigenetic transmission of phase in the desert locust, Schistocerca gregaria: determining the stage sensitive to crowding for the maternal determination of progeny characteristics. Journal of Insect Physiology. 2010b;56(12):1883–1888. doi: 10.1016/j.jinsphys.2010.08.010. [DOI] [PubMed] [Google Scholar]
  • Maeno & Tanaka (2011).Maeno K, Tanaka S. Phase-specific responses to different qualities of food in the desert locust, Schistocerca gregaria: developmental, morphological and reproductive characteristics. Journal of Insect Physiology. 2011;57(4):514–520. doi: 10.1016/j.jinsphys.2011.02.004. [DOI] [PubMed] [Google Scholar]
  • Maeno, Tanaka & Harano (2011).Maeno K, Tanaka S, Harano K. Tactile stimuli perceived by the antennae cause the isolated females to produce gregarious offspring in the desert locust, Schistocerca gregaria. Journal of Insect Physiology. 2011;57(1):74–82. doi: 10.1016/j.jinsphys.2010.09.009. [DOI] [PubMed] [Google Scholar]
  • Mahamat, Hassanali & Munyinyi (1997).Mahamat H, Hassanali A, Munyinyi D. Haemolymph pigment composition as a chemometric indicator of phase in the desert locust, Schistocerca gregaria. International Journal of Tropical Insect Science. 1997;17(2):199–204. doi: 10.1017/S1742758400016374. [DOI] [Google Scholar]
  • Mahamat, Hassanali & Odongo (2000).Mahamat H, Hassanali A, Odongo H. The role of different components of the pheromone emission of mature males of the desert locust, Schistocerca gregaria (Forskål) (Orthoptera: Acrididae) in accelerating maturation of immature adults. International Journal of Tropical Insect Science. 2000;20(1):1–5. doi: 10.1017/S174275840001777X. [DOI] [Google Scholar]
  • Mahamat et al. (1993).Mahamat H, Hassanali A, Odongo H, Torto B, El-Bashir E-S. Studies on the maturation-accelerating pheromone of the desert locust Schistocerca gregaria (Orthoptera: Acrididae) Chemoecology. 1993;4(3–4):159–164. doi: 10.1007/BF01256551. [DOI] [Google Scholar]
  • Mallon, Amarasinghe & Ott (2016).Mallon EB, Amarasinghe HE, Ott SR. Acute and chronic gregarisation are associated with distinct DNA methylation fingerprints in desert locusts. Scientific Reports. 2016;6(1):1–7. doi: 10.1038/srep35608. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Malual et al. (2001).Malual AG, Hassanali A, Torto B, Assad YOH, Njagi PGN. The nature of the gregarizing signal responsible for maternal transfer of phase to the offspring in the desert locust Schistocerca gregaria. Journal of Chemical Ecology. 2001;27(7):1423–1435. doi: 10.1023/A:1010321410936. [DOI] [PubMed] [Google Scholar]
  • Mamo, Kinyanjui & Siewe (2025).Mamo DK, Kinyanjui MN, Siewe N. Mathematical assessment of the role of temperature on desert locust population dynamics. PLOS ONE. 2025;20(1):1–33. doi: 10.1371/journal.pone.0317040. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Martín-Blázquez & Bakkali (2017).Martín-Blázquez R, Bakkali M. Standardization of multivariate regression models for estimation of the gregariousness level of the main pest locust. Entomologia Experimentalis et Applicata. 2017;163(1):9–25. doi: 10.1111/eea.12564. [DOI] [Google Scholar]
  • Martín-Blázquez et al. (2017).Martín-Blázquez R, Chen B, Kang L, Bakkali M. Evolution, expression and association of the chemosensory protein genes with the outbreak phase of the two main pest locusts. Scientific Reports. 2017;7(1):1–16. doi: 10.1038/s41598-017-07068-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Matheson, Rogers & Krapp (2004).Matheson T, Rogers SM, Krapp HG. Plasticity in the visual system is correlated with a change in lifestyle of solitarious and gregarious locusts. Journal of Neurophysiology. 2004;91(1):1–12. doi: 10.1152/jn.00795.2003. [DOI] [PubMed] [Google Scholar]
  • Mccaffery et al. (1998).Mccaffery AR, Simpson SJ, Islam MS, Roessingh P. A gregarizing factor present in the egg pod foam of the desert locust Schistocerca Gregaria. Journal of Experimental Biology. 1998;201(3):347–363. doi: 10.1242/jeb.201.3.347. [DOI] [PubMed] [Google Scholar]
  • Michelmore & Allan (1934).Michelmore APG, Allan W. Observations on phases of the red-winged locust in Northern Rhodesia. Bulletin of Entomological Research. 1934;25(1):101–128. doi: 10.1017/S0007485300012530. [DOI] [Google Scholar]
  • Miller et al. (2008).Miller GA, Islam MS, Claridge TDW, Dodgson T, Simpson SJ. Swarm formation in the desert locust Schistocerca gregaria: isolation and NMR analysis of the primary maternal gregarizing agent. Journal of Experimental Biology. 2008;211(3):370–376. doi: 10.1242/jeb.013458. [DOI] [PubMed] [Google Scholar]
  • Morton & Evans (1983).Morton DB, Evans PD. Octopamine distribution in solitarious and gregarious forms of the locust, Schistocerca Americana gregaria. Insect Biochemistry. 1983;13(2):177–183. doi: 10.1016/0020-1790(83)90081-1. [DOI] [Google Scholar]
  • Niassy et al. (1999).Niassy A, Torto B, Njagi PGN, Hassanali A, Obeng-Ofori D, Ayertey JN. Intra- and interspecific aggregation responses of Locusta migratoria migratorioides and Schistocerca gregaria and a comparison of their pheromone emissions. Journal of Chemical Ecology. 1999;25(5):1029–1042. doi: 10.1023/A:1020873623852. [DOI] [Google Scholar]
  • Nishide, Suzuki & Tanaka (2017).Nishide Y, Suzuki T, Tanaka S. The hatching time of Locusta migratoria under outdoor conditions: role of temperature and adaptive significance. Physiological Entomology. 2017;42(2):146–155. doi: 10.1111/phen.12184. [DOI] [Google Scholar]
  • Nishide & Tanaka (2019).Nishide Y, Tanaka S. Re-examination of the maternal control of progeny size and body color in the desert locust Schistocerca gregaria: differences from previous conclusions. Journal of Insect Physiology. 2019;114:145–157. doi: 10.1016/j.jinsphys.2019.01.004. [DOI] [PubMed] [Google Scholar]
  • Nishide, Tanaka & Saeki (2015).Nishide Y, Tanaka S, Saeki S. Adaptive difference in daily timing of hatch in two locust species, Schistocerca gregaria and Locusta migratoria: the effects of thermocycles and phase polyphenism. Journal of Insect Physiology. 2015;72:79–87. doi: 10.1016/j.jinsphys.2014.12.003. [DOI] [PubMed] [Google Scholar]
  • Njagi et al. (1996).Njagi PGN, Torto B, Obeng-Ofori D, Hassanali A. Phase-independent responses to phase-specific aggregation pheromone in adult desert locusts, Schistocerca gregaria (Orthoptera: Acrididae) Physiological Entomology. 1996;21(2):131–137. doi: 10.1111/j.1365-3032.1996.tb00845.x. [DOI] [Google Scholar]
  • Norris (1962).Norris MJ. Group effects on the activity and behaviour of adult males of the desert locust (Schistocerca gregaria Forsk.) in relation to sexual maturation. Animal Behaviour. 1962;10:275–291. doi: 10.1016/0003-3472(62)90051-9. [DOI] [Google Scholar]
  • Norris (1963).Norris MJ. Laboratory experiments on gregarious behaviour in ovipositing females of the desert locust, (Schistocerca gregaria (Forsk.)) Entomologia Experimentalis et Applicata. 1963;6(4):279–303. doi: 10.1111/j.1570-7458.1963.tb00628.x. [DOI] [Google Scholar]
  • Norris (1964).Norris MJ. Accelerating and inhibiting effects of crowding on sexual maturation in two species of locusts. Nature. 1964;203(4946):784–785. doi: 10.1038/203784b0. [DOI] [Google Scholar]
  • Norris & Pener (1965).Norris MJ, Pener MP. An inhibitory effect of allatectomized males and females on the sexual maturation of young male adults of Schitstocerca gregaria (Forsk.) (Orthoptera: Acrididae) Nature. 1965;208(5015):1122. doi: 10.1038/2081122a0. [DOI] [Google Scholar]
  • Norris & Richards (1970).Norris MJ, Richards OW. Aggregation response in ovipositing females of the desert locust, with special reference to the chemical factor. Journal of Insect Physiology. 1970;16(8):1493–1515. doi: 10.1016/0022-1910(70)90249-0. [DOI] [PubMed] [Google Scholar]
  • Obeng-Ofori, Torto & Hassanali (1993).Obeng-Ofori D, Torto B, Hassanali A. Evidence for mediation of two releaser pheromones in the aggregation behavior of the gregarious desert locust, Schistocerca gregaria (forskal) (Orthoptera: Acrididae) Journal of Chemical Ecology. 1993;19(8):1665–1676. doi: 10.1007/BF00982299. [DOI] [PubMed] [Google Scholar]
  • Obeng-Ofori et al. (1994).Obeng-Ofori D, Torto B, Njagi PGN, Hassanali A, Amiani H. Fecal volatiles as part of the aggregation pheromone complex of the desert locust, Schistocerca gregaria (Forskal) (Orthoptera: Acrididae) Journal of Chemical Ecology. 1994;20(8):2077–2087. doi: 10.1007/BF02066244. [DOI] [PubMed] [Google Scholar]
  • Ochieng, Hallberg & Hansson (1998).Ochieng SA, Hallberg E, Hansson BS. Fine structure and distribution of antennal sensilla of the desert locust, Schistocerca gregaria (Orthoptera: Acrididae) Cell and Tissue Research. 1998;291(3):525–536. doi: 10.1007/s004410051022. [DOI] [PubMed] [Google Scholar]
  • Ochieng’ & Hansson (1999).Ochieng’ SA, Hansson BS. Responses of olfactory receptor neurones to behaviourally important odours in gregarious and solitarious desert locust, Schistocerca gregaria. Physiological Entomology. 1999;24(1):28–36. doi: 10.1046/j.1365-3032.1999.00107.x. [DOI] [Google Scholar]
  • Ogoyi, Osir & Olembo (1996).Ogoyi DO, Osir EO, Olembo NK. Effect of phase status on responses to AKH I in the desert locust, Schistocerca gregaria gregaria. Archives of Insect Biochemistry and Physiology. 1996;32:173–185. doi: 10.1002/(SICI)1520-6327(1996)32:2<173::AID-ARCH2>3.0.CO;2-#. [DOI] [Google Scholar]
  • Ogoyi, Osir & Olembo (1998).Ogoyi DO, Osir EO, Olembo NK. Fat body triacylglycerol lipase in solitary and gregarious phases of Schistocerca gregaria (Forskal) (Orthoptera: Acrididae) Comparative Biochemistry and Physiology-B Biochemistry and Molecular Biology. 1998;119(1):163–167. doi: 10.1016/S0305-0491(97)00300-3. [DOI] [Google Scholar]
  • Ott & Rogers (2010).Ott SR, Rogers SM. Gregarious desert locusts have substantially larger brains with altered proportions compared with the solitarious phase. Proceedings of the Royal Society B: Biological Sciences. 2010;277(1697):3087–3096. doi: 10.1098/rspb.2010.0694. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Ott et al. (2012).Ott SR, Verlinden H, Rogers SM, Brighton CH, Quah PS, Vleugels RK, Verdonck R, Vanden Broeck J. Critical role for protein kinase A in the acquisition of gregarious behavior in the desert locust. Proceedings of the National Academy of Sciences of the United States of America. 2012;109(7):381–387. doi: 10.1073/pnas.1114990109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Page et al. (2021).Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D. The PRISMA, 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. doi: 10.1136/bmj.n71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Pener (1967).Pener MP. Effects of allatectomy and sectioning of the nerves of the corpora allata on oöcyte growth, male sexual behaviour, and colour change in adults of Schistocerca gregaria. Journal of Insect Physiology. 1967;13(5):665–684. doi: 10.1016/0022-1910(67)90117-5. [DOI] [Google Scholar]
  • Pener (1968).Pener MP. The effect of corpora allata on sexual behaviour and “adult diapause” in males of the red locust. Entomologia Experimentalis et Applicata. 1968;11(1):94–100. doi: 10.1111/j.1570-7458.1968.tb00077.x. [DOI] [Google Scholar]
  • Pener (1991).Pener MP. Locust phase polymorphism and its endocrine relations. Advances in Insect Physiology. 1991;23:1–79. doi: 10.1016/S0065-2806(08)60091-0. [DOI] [Google Scholar]
  • Pener & Lazarovici (1979).Pener MP, Lazarovici P. Effect of exogenous juvenile hormones on mating behaviour and yellow colour in allatectomized adult male desert locusts. Physiological Entomology. 1979;4(3):251–261. doi: 10.1111/j.1365-3032.1979.tb00202.x. [DOI] [Google Scholar]
  • Pener & Simpson (2009).Pener MP, Simpson SJ. Locust phase polyphenism: an update. Advances in Insect Physiology. 2009;36(10):1–272. doi: 10.1016/S0065-2806(08)36001-9. [DOI] [Google Scholar]
  • Pener & Yerushalmi (1998).Pener MP, Yerushalmi Y. The physiology of locust phase polymorphism: an update. Journal of Insect Physiology. 1998;44:365–377. doi: 10.1016/S0022-1910(97)00169-8. [DOI] [PubMed] [Google Scholar]
  • Peng et al. (2020).Peng W, Ma NL, Zhang D, Zhou Q, Yue X, Khoo SC, Yang H, Guan R, Chen H, Zhang X, Wang Y, Wei Z, Suo C, Peng Y, Yang Y, Lam SS, Sonne C. A review of historical and recent locust outbreaks: links to global warming, food security and mitigation strategies. Environmental Research. 2020;191:110046. doi: 10.1016/j.envres.2020.110046. [DOI] [PubMed] [Google Scholar]
  • Petelski et al. (2024).Petelski I, Günzel Y, Sayin S, Kraus S, Couzin-Fuchs E. Synergistic olfactory processing for social plasticity in desert locusts. Nature Communications. 2024;15(1):5476. doi: 10.1038/s41467-024-49719-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Pfennig et al. (2010).Pfennig DW, Wund MA, Snell-rood EC, Cruickshank T, Schlichting CD, Moczek AP. Phenotypic plasticity’s impacts on diversification and speciation. Trends in Ecology & Evolution. 2010;25(8):459–467. doi: 10.1016/j.tree.2010.05.006. [DOI] [PubMed] [Google Scholar]
  • Pflüger & Bräunig (2021).Pflüger HJ, Bräunig P. One hundred years of phase polymorphism research in locusts. Journal of Comparative Physiology A: Neuroethology, Sensory, Neural, and Behavioral Physiology. 2021;207(3):321–326. doi: 10.1007/s00359-021-01485-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Pocco et al. (2019).Pocco ME, Cigliano MM, Foquet B, Lange CE, Nieves EL, Song H. Density-dependent phenotypic plasticity in the South American locust, Schistocerca cancellata (Orthoptera: Acrididae) Annals of the Entomological Society of America. 2019;112(5):458–472. doi: 10.1093/aesa/saz032. [DOI] [Google Scholar]
  • Rahman et al. (2003).Rahman MM, Baggerman G, Schoofs L, De Loof A, Breuer M. Presence of [His7]-corazonin in the central nervous system of a newly isolated albino strain of Schistocerca gregaria (Orthoptera: Acrididae)-mass spectrometric and immunocytochemical evidence. European Journal of Entomology. 2003;100(3):455–458. doi: 10.14411/eje.2003.068. [DOI] [Google Scholar]
  • Rai et al. (1997).Rai MM, Hassanali A, Saini RK, Odongo H, Kahoro H. Identification of components of the oviposition aggregation pheromone of the gregarious desert locust, Schistocerca gregaria (Forskal) Journal of Insect Physiology. 1997;43(1):83–87. doi: 10.1016/S0022-1910(96)00051-0. [DOI] [PubMed] [Google Scholar]
  • Reynolds et al. (2009).Reynolds AM, Sword GA, Simpson SJ, Reynolds DR. Predator percolation, insect outbreaks, and phase polyphenism. Current Biology. 2009;19(1):20–24. doi: 10.1016/j.cub.2008.10.070. [DOI] [PubMed] [Google Scholar]
  • Robertson, Cease & Simpson (2019).Robertson RM, Cease AJ, Simpson SJ. Anoxia tolerance of the adult Australian plague locust (Chortoicetes terminifera) Comparative Biochemistry and Physiology Part A: Molecular & Integrative Physiology. 2019;229:81–92. doi: 10.1016/j.cbpa.2018.12.005. [DOI] [PubMed] [Google Scholar]
  • Robinson et al. (2011).Robinson KL, Tohidi-Esfahani D, Lo N, Simpson SJ, Sword GA. Evidence for widespread genomic methylation in the migratory locust, Locusta migratoria (orthoptera: Acrididae) PLOS ONE. 2011;6(12):e28167. doi: 10.1371/journal.pone.0028167. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Robinson et al. (2016).Robinson KL, Tohidi-Esfahani D, Ponton F, Simpson SJ, Sword GA, Lo N. Alternative migratory locust phenotypes are associated with differences in the expression of genes encoding the methylation machinery. Insect Molecular Biology. 2016;25(2):105–115. doi: 10.1111/imb.12203. [DOI] [PubMed] [Google Scholar]
  • Roessingh, Bouaïchi & Simpson (1998).Roessingh P, Bouaïchi A, Simpson SJ. Effects of sensory stimuli on the behavioural phase state of the desert locust, Schistocerca gregaria. Journal of Insect Physiology. 1998;44(10):883–893. doi: 10.1016/S0022-1910(98)00070-5. [DOI] [PubMed] [Google Scholar]
  • Roessingh & Simpson (1994).Roessingh P, Simpson SJ. The time-course of behavioural phase change in nymphs of the desert locust, Schistocerca gregaria. Physiological Entomology. 1994;19(3):191–197. doi: 10.1111/j.1365-3032.1994.tb01042.x. [DOI] [Google Scholar]
  • Roessingh, Simpson & James (1993).Roessingh P, Simpson SJ, James S. Analysis of phase-related changes in behaviour of desert locust nymphs. Proceedings of the Royal Society B: Biological Sciences. 1993;252(1333):43–49. doi: 10.1098/rspb.1993.0044. [DOI] [Google Scholar]
  • Rogers et al. (2014).Rogers SM, Cullen DA, Anstey ML, Burrows M, Despland E, Dodgson T, Matheson T, Ott SR, Stettin K, Sword GA, Simpson SJ. Rapid behavioural gregarization in the desert locust, Schistocerca gregaria entails synchronous changes in both activity and attraction to conspecifics. Journal of Insect Physiology. 2014;65(11):9–26. doi: 10.1016/j.jinsphys.2014.04.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Rogers et al. (2010).Rogers SM, Harston GWJ, Kilburn-Toppin F, Matheson T, Burrows M, Gabbiani F, Krapp HG. Spatiotemporal receptive field properties of a looming-sensitive neuron in solitarious and gregarious phases of the desert locust. Journal of Neurophysiology. 2010;103(2):779–792. doi: 10.1152/jn.00855.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Rogers et al. (2007).Rogers SM, Krapp HG, Burrows M, Matheson T. Compensatory plasticity at an identified synapse tunes a visuomotor pathway. Journal of Neuroscience. 2007;27(17):4621–4633. doi: 10.1523/JNEUROSCI.4615-06.2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Rogers et al. (2003).Rogers SM, Matheson T, Despland E, Dodgson T, Burrows M, Simpson SJ. Mechanosensory-induced behavioural gregarization in the desert locust Schistocerca gregaria. Journal of Experimental Biology. 2003;206(22):3991–4002. doi: 10.1242/jeb.00648. [DOI] [PubMed] [Google Scholar]
  • Rogers et al. (2004).Rogers SM, Matheson T, Sasaki K, Kendrick K, Simpson SJ, Burrows M. Substantial changes in central nervous system neurotransmitters and neuromodulators accompany phase change in the locust. Journal of Experimental Biology. 2004;207(20):3603–3617. doi: 10.1242/jeb.01183. [DOI] [PubMed] [Google Scholar]
  • Rogers & Ott (2015).Rogers SM, Ott SR. Differential activation of serotonergic neurons during short-and long-term gregarization of desert locusts. Proceedings of the Royal Society B: Biological Sciences. 2015;282:20142062. doi: 10.1098/rspb.2014.2062. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Rogers et al. (2016).Rogers SM, Riley J, Brighton C, Sutton GP, Cullen DA, Burrows M. Increased muscular volume and cuticular specialisations enhance jump velocity in solitarious compared with gregarious desert locusts, Schistocerca gregaria. Journal of Experimental Biology. 2016;219(5):635–648. doi: 10.1242/jeb.134445. [DOI] [PubMed] [Google Scholar]
  • Rono et al. (2008).Rono E, Njagi PGN, Bashir MO, Hassanali A. Concentration-dependent parsimonious releaser roles of gregarious male pheromone of the desert locust, Schistocerca gregaria. Journal of Insect Physiology. 2008;54(1):162–168. doi: 10.1016/j.jinsphys.2007.08.013. [DOI] [PubMed] [Google Scholar]
  • Saadi et al. (2024).Saadi S, Bakkali N, Martín-Blázquez R, Badih A, Bakkali M. The multivariate regression models suggested as standardising tools for categorising solitarious and gregarious groups of the main pest locust, Schistocerca gregaria, produce reproducible results. Insects. 2024;15(2):102. doi: 10.3390/insects15020102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Sas et al. (2007).Sas F, Begum M, Vandersmissen T, Geens M, Claeys I, Van Soest S, Huybrechts J, Huybrechts R, De Loof A. Development of a real-time PCR assay for measurement of yellow protein mRNA transcription in the desert locust Schistocerca gregaria: a basis for isolation of a peptidergic regulatory factor. Peptides. 2007;28(1):38–43. doi: 10.1016/j.peptides.2006.09.015. [DOI] [PubMed] [Google Scholar]
  • Sayin et al. (2025).Sayin S, Couzin-Fuchs E, Petelski I, Günzel Y, Salahshour M, Lee C-Y, Graving JM, Li L, Deussen O, Sword GA, Couzin ID. The behavioral mechanisms governing collective motion in swarming locusts. Science. 2025;387(6737):995–1000. doi: 10.1126/science.adq7832. [DOI] [PubMed] [Google Scholar]
  • Schneider & Dorn (1994).Schneider M, Dorn A. Lipid storage and mobilization by flight in relation to phase and age of Schistocerca gregaria females. Insect Biochemistry and Molecular Biology. 1994;24(9):883–889. doi: 10.1016/0965-1748(94)90017-5. [DOI] [Google Scholar]
  • Schoofs et al. (2000).Schoofs L, Baggerman G, Veelaert D, Breuer M, Tanaka S, De Loof A. The pigmentotropic hormone [His7]-corazonin, absent in a Locusta migratoria albino strain, occurs in an albino strain of Schistocerca gregaria. Molecular and Cellular Endocrinology. 2000;168:101–109. doi: 10.1016/S0303-7207(00)00306-3. [DOI] [PubMed] [Google Scholar]
  • Seidelmann & Ferenz (2002).Seidelmann K, Ferenz HJ. Courtship inhibition pheromone in desert locusts, Schistocerca gregaria. Journal of Insect Physiology. 2002;48(11):991–996. doi: 10.1016/S0022-1910(02)00178-6. [DOI] [PubMed] [Google Scholar]
  • Seidelmann, Warnstorff & Ferenz (2005).Seidelmann K, Warnstorff K, Ferenz HJ. Phenylacetonitrile is a male specific repellent in gregarious desert locusts, Schistocerca gregaria. Chemoecology. 2005;15(1):37–43. doi: 10.1007/s00049-005-0290-z. [DOI] [Google Scholar]
  • Shi et al. (2014).Shi W, Guo Y, Xu C, Tan S, Miao J, Feng Y-J, Zhao H, Leger RJS, Fang W. Unveiling the mechanism by which microsporidian parasites prevent locust swarm behavior. Proceedings of the National Academy of Sciences of the United States of America. 2014;111(4):1343–1348. doi: 10.1073/pnas.1314009111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Simões, Niven & Ott (2013).Simões PMV, Niven JE, Ott SR. Phenotypic transformation affects associative learning in the desert locust. Current Biology. 2013;23(23):2407–2412. doi: 10.1016/j.cub.2013.10.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Simpson et al. (2001).Simpson SJ, Despland E, Hägele BF, Dodgson T. Gregarious behavior in desert locusts is evoked by touching their back legs. Proceedings of the National Academy of Sciences of the United States of America. 2001;98(7):3895–3897. doi: 10.1073/pnas.071527998. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Simpson, McCaffery & HÄgele (1999).Simpson SJ, McCaffery AR, HÄgele BF. A behavioural analysis of phase change in the desert locust. Biological Reviews. 1999;74(4):461–480. doi: 10.1111/j.1469-185X.1999.tb00038.x. [DOI] [Google Scholar]
  • Simpson et al. (2002).Simpson SJ, Raubenheimer D, Behmer ST, Whitworth A, Wright GA. A comparison of nutritional regulation in solitarious- and gregarious-phase nymphs of the desert locust Schistocerca gregaria. Journal of Experimental Biology. 2002;205(1):121–129. doi: 10.1242/jeb.205.1.121. [DOI] [PubMed] [Google Scholar]
  • Simpson & Sword (2008).Simpson SJ, Sword GA. Locusts. Current Biology. 2008;18(9):R364–R366. doi: 10.1016/j.cub.2008.02.029. [DOI] [PubMed] [Google Scholar]
  • Simpson & Sword (2009).Simpson SJ, Sword GA. Phase polyphenism in locusts: mechanisms, population consequences, adaptive significance and evolution. In: Whitman DW, Ananthakrishnan TN, editors. Phenotypic Plasticity of Insects: Mechanisms and Consequences. Enfield, United States of America: Science Publishers; 2009. pp. 147–189. [Google Scholar]
  • Simpson, Sword & De Loof (2005).Simpson SJ, Sword GA, De Loof A. Advances, controversies and consensus in locust phase polyphenism research. Journal of Orthoptera Research. 2005;14:213–222. doi: 10.1665/1082-6467(2005)14[213:acacil]2.0.co;2. [DOI] [Google Scholar]
  • Simpson, Sword & Lo (2011).Simpson SJ, Sword GA, Lo N. Polyphenism in insects. Current Biology. 2011;21(18):R738–R749. doi: 10.1016/j.cub.2011.06.006. [DOI] [PubMed] [Google Scholar]
  • Song (2005).Song H. Phylogenetic perspectives on the evolution of locust phase polyphenism. Journal of Orthoptera Research. 2005;14:235–245. doi: 10.1665/1082-6467(2005)14[235:ppoteo]2.0.co;2. [DOI] [Google Scholar]
  • Song (2011).Song H. Density-dependent phase polyphenism in nonmodel locusts: a minireview. Psyche. 2011;2011(2):1–16. doi: 10.1155/2011/741769. [DOI] [Google Scholar]
  • Song et al. (2017).Song H, Foquet B, Mariño-Pérez R, Woller DA. Phylogeny of locusts and grasshoppers reveals complex evolution of density-dependent phenotypic plasticity. Scientific Reports. 2017;7(1):1–13. doi: 10.1038/s41598-017-07105-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Song & Wenzel (2008).Song H, Wenzel JW. Phylogeny of bird-grasshopper subfamily Cyrtacanthacridinae (Orthoptera: Acrididae) and the evolution of locust phase polyphenism. Cladistics. 2008;24(4):515–542. doi: 10.1111/j.1096-0031.2007.00190.x. [DOI] [PubMed] [Google Scholar]
  • Stahr & Seidelmann (2016).Stahr C, Seidelmann K. Individual pheromone signature in males: prerequisite for pheromone-mediated mate assessment in the central American Locust, Schistocerca Piceifrons. Journal of Chemical Ecology. 2016;42(12):1304–1313. doi: 10.1007/s10886-016-0793-9. [DOI] [PubMed] [Google Scholar]
  • Sugahara et al. (2015).Sugahara R, Saeki S, Jouraku A, Shiotsuki T, Tanaka S. Knockdown of the corazonin gene reveals its critical role in the control of gregarious characteristics in the desert locust. Journal of Insect Physiology. 2015;79:80–87. doi: 10.1016/j.jinsphys.2015.06.009. [DOI] [PubMed] [Google Scholar]
  • Sugahara & Tanaka (2018).Sugahara R, Tanaka S. Environmental and hormonal control of body color polyphenism in late-instar desert locust nymphs: role of the yellow protein. Insect Biochemistry and Molecular Biology. 2018;93:27–36. doi: 10.1016/j.ibmb.2017.12.004. [DOI] [PubMed] [Google Scholar]
  • Sugahara et al. (2016).Sugahara R, Tanaka S, Jouraku A, Shiotsuki T. Functional characterization of the corazonin-encoding gene in phase polyphenism of the migratory locust, Locusta migratoria (Orthoptera: Acrididae) Applied Entomology and Zoology. 2016;51(2):225–232. doi: 10.1007/s13355-015-0391-2. [DOI] [Google Scholar]
  • Sugahara et al. (2017).Sugahara R, Tanaka S, Jouraku A, Shiotsuki T. Two types of albino mutants in desert and migratory locusts are caused by gene defects in the same signaling pathway. Gene. 2017;608:41–48. doi: 10.1016/j.gene.2017.01.022. [DOI] [PubMed] [Google Scholar]
  • Sugahara et al. (2018).Sugahara R, Tanaka S, Jouraku A, Shiotsuki T. Identification of a transcription factor that functions downstream of corazonin in the control of desert locust gregarious body coloration. Insect Biochemistry and Molecular Biology. 2018;97:10–18. doi: 10.1016/j.ibmb.2018.04.004. [DOI] [PubMed] [Google Scholar]
  • Sword, Lecoq & Simpson (2010).Sword GA, Lecoq M, Simpson SJ. Phase polyphenism and preventative locust management. Journal of Insect Physiology. 2010;56(8):949–957. doi: 10.1016/j.jinsphys.2010.05.005. [DOI] [PubMed] [Google Scholar]
  • Sword & Simpson (2000).Sword GA, Simpson SJ. Is there an intraspecific role for density-dependent colour change in the desert locust? Animal Behaviour. 2000;59(4):861–870. doi: 10.1006/anbe.1999.1397. [DOI] [PubMed] [Google Scholar]
  • Sword et al. (2000).Sword GA, Simpson SJ, El Hadi OTM, Wilps H. Density-dependent aposematism in the desert locust. Proceedings of the Royal Society B: Biological Sciences. 2000;267(1438):63–68. doi: 10.1098/rspb.2000.0967. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Tanaka (2000).Tanaka S. Hormonal control of body-color polymorphism in Locusta migratoria: interaction between [His7]-corazonin and juvenile hormone. Journal of Insect Physiology. 2000;46(12):1535–1544. doi: 10.1016/S0022-1910(00)00081-0. [DOI] [PubMed] [Google Scholar]
  • Tanaka (2003).Tanaka S. Effects of temperature and [His7]-corazonin on the body darkening in Locusta migratoria. Physiological Entomology. 2003;28(4):290–297. doi: 10.1111/j.1365-3032.2003.00346.x. [DOI] [Google Scholar]
  • Tanaka (2006).Tanaka S. Corazonin and locust phase polyphenism. Applied Entomology and Zoology. 2006;41(2):179–193. doi: 10.1303/aez.2006.179. [DOI] [Google Scholar]
  • Tanaka (2022).Tanaka S. Long-term monitoring of body size and morphometric ratios in the migratory locust, Locusta migratoria (Orthoptera: Acrididae) Applied Entomology and Zoology. 2022;57(1):45–53. doi: 10.1007/s13355-021-00760-8. [DOI] [Google Scholar]
  • Tanaka (2024).Tanaka S. Geographic variation in body size of the migratory locust Locusta migratoria (Orthoptera, Acrididae): Masaki’s cline and phase polyphenism. Journal of Orthoptera Research. 2024;33(1):27–40. doi: 10.3897/jor.33.107242. [DOI] [Google Scholar]
  • Tanaka, Hakomori & Hasegawa (1993).Tanaka S, Hakomori T, Hasegawa E. Effects of daylength and hopper density on reproductive traits in a Japanese population of the migratory locust, Locusta migratoria L. Journal of Insect Physiology. 1993;39(7):571–580. doi: 10.1016/0022-1910(93)90039-T. [DOI] [Google Scholar]
  • Tanaka, Harano & Nishide (2012).Tanaka S, Harano KI, Nishide Y. Re-examination of the roles of environmental factors in the control of body-color polyphenism in solitarious nymphs of the desert locust Schistocerca gregaria with special reference to substrate color and humidity. Journal of Insect Physiology. 2012;58(1):89–101. doi: 10.1016/j.jinsphys.2011.10.002. [DOI] [PubMed] [Google Scholar]
  • Tanaka & Maeno (2006).Tanaka S, Maeno K. Phase-related body-color polyphenism in hatchlings of the desert locust, Schistocerca gregaria: re-examination of the maternal and crowding effects. Journal of Insect Physiology. 2006;52(10):1054–1061. doi: 10.1016/j.jinsphys.2006.07.004. [DOI] [PubMed] [Google Scholar]
  • Tanaka & Nishide (2013).Tanaka S, Nishide Y. Behavioral phase shift in nymphs of the desert locust, Schistocerca gregaria: special attention to attraction/avoidance behaviors and the role of serotonin. Journal of Insect Physiology. 2013;59(1):101–112. doi: 10.1016/j.jinsphys.2012.10.018. [DOI] [PubMed] [Google Scholar]
  • Tanaka & Pener (1994).Tanaka S, Pener MP. A neuropeptide controlling the dark pigmentation in color polymorphism of the migratory locust, Locusta migratoria. Journal of Insect Physiology. 1994;40(11):997–1005. doi: 10.1016/0022-1910(94)90138-4. [DOI] [Google Scholar]
  • Tanaka et al. (2016).Tanaka S, Saeki S, Nishide Y, Sugahara R, Shiotsuki T. Body-color and behavioral responses by the mid-instar nymphs of the desert locust, Schistocerca gregaria (Orthoptera: Acrididae) to crowding and visual stimuli. Entomological Science. 2016;19(4):391–400. doi: 10.1111/ens.12193. [DOI] [Google Scholar]
  • Tanaka et al. (2002).Tanaka S, Zhu D-H, Hoste B, Breuer M. The dark-color inducing neuropeptide, [His7]-corazonin, causes a shift in morphometic characteristics towards the gregarious phase in isolated-reared (solitarious) Locusta migratoria. Journal of Insect Physiology. 2002;48(11):1065–1074. doi: 10.1016/S0022-1910(02)00199-3. [DOI] [PubMed] [Google Scholar]
  • Tang et al. (2023).Tang Q, Feng J, Zong D, Zhou J, Hu X, Wang B, Wang T. Potential spread of desert locust Schistocerca gregagia (Orthoptera: Acrididae) under climate change scenarios. Diversity. 2023;15(10):1038. doi: 10.3390/d15101038. [DOI] [Google Scholar]
  • Tawfik (2012).Tawfik A. Hormonal control of the phase polyphenism of the desert locust: a review of current understanding. The Open Entomology Journal. 2012;6(1):22–41. doi: 10.2174/1874407901206010022. [DOI] [Google Scholar]
  • Tawfik et al. (1997a).Tawfik AI, Osir EO, Hassanali A, Ismail SH. Effects of juvenile hormone treatment on phase changes and pheromone production the desert locust, Schistocerca gregaria (Forskal) (Orthoptera: Acrididae) Journal of Insect Physiology. 1997a;43(12):1177–1182. doi: 10.1016/S0022-1910(97)00079-6. [DOI] [PubMed] [Google Scholar]
  • Tawfik et al. (1999).Tawfik AI, Tanaka S, De Loof A, Schoofs L, Baggerman G, Waelkens E, Derua R, Milner Y, Yerushalmi Y, Pener MP. Identification of the gregarization-associated dark-pigmentotropin in locusts through an albino mutant. Proceedings of the National Academy of Sciences of the United States of America. 1999;96(12):7083–7087. doi: 10.1073/pnas.96.12.7083. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Tawfik et al. (1997b).Tawfik AI, Vedrová A, Li W, Sehnal F, Obeng-Ofori D. Haemolymph ecdysteroids and the prothoracic glands in the solitary and gregarious adults of Schistocerca gregaria. Journal of Insect Physiology. 1997b;43(5):485–493. doi: 10.1016/S0022-1910(96)00116-3. [DOI] [Google Scholar]
  • Torto et al. (1999).Torto B, Assad YOH, Njagi PGN, Hassanali A. Evidence for additional pheromonal components mediating oviposition aggregation in Schistocerca gregaria. Journal of Chemical Ecology. 1999;25(4):835–845. doi: 10.1023/A:1020848918400. [DOI] [Google Scholar]
  • Torto et al. (1996).Torto B, Njagi PGN, Hassanali A, Amiani H. Aggregation pheromone system of nymphal gregarious desert locust, Schistocerca gregaria (Forskål) Journal of Chemical Ecology. 1996;22(12):2273–2281. doi: 10.1007/BF02029546. [DOI] [PubMed] [Google Scholar]
  • Torto et al. (1994).Torto B, Obeng-Ofori D, Njagi PGN, Hassanali A, Amiani H. Aggregation pheromone system of adult gregarious desert locust Schistocerca gregaria (forskal) Journal of Chemical Ecology. 1994;20(7):1749–1762. doi: 10.1007/BF02059896. [DOI] [PubMed] [Google Scholar]
  • Unni, Knaden & Hansson (2024).Unni AP, Knaden M, Hansson BS. Olfactory mating signals in the migratory locust Locusta migratoria. Journal of Chemical Ecology. 2024;50:11–17. doi: 10.1007/s10886-023-01456-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Uvarov (1921).Uvarov BP. A revision of the genus Locusta, L. (= pachytylus, fieb.), with a new theory as to the periodicity and migrations of locusts. Bulletin of Entomological Research. 1921;12(2):135–163. doi: 10.1017/S0007485300044989. [DOI] [Google Scholar]
  • Uvarov (1966).Uvarov B. Grasshoppers and locusts. A handbook of general acridology. London: Centre for Overseas Pest Research; 1966. [Google Scholar]
  • Uvarov & Hamilton (1936).Uvarov BP, Hamilton AG. Phase variation and rate of development in the Algerian race of the migratory locust (Locusta migratoria, L.) Bulletin of Entomological Research. 1936;27(1):87–90. doi: 10.1017/S0007485300058132. [DOI] [Google Scholar]
  • Van der Zee, Behmer & Simpson (2002).Van der Zee B, Behmer ST, Simpson SJ. Food mixing strategies in the desert locust: effects of phase, distance between foods, and food nutrient content. Entomologia Experimentalis et Applicata. 2002;103(3):227–237. doi: 10.1046/j.1570-7458.2002.00978.x. [DOI] [Google Scholar]
  • Verlinden et al. (2009).Verlinden H, Badisco L, Marchal E, Van Wielendaele P, Vanden Broeck J. Endocrinology of reproduction and phase transition in locusts. General and Comparative Endocrinology. 2009;162(1):79–92. doi: 10.1016/j.ygcen.2008.11.016. [DOI] [PubMed] [Google Scholar]
  • Verlinden et al. (2010).Verlinden H, Vleugels R, Marchal E, Badisco L, Tobback J, Pflüger HJ, Blenau W, Vanden Broeck J. The cloning, phylogenetic relationship and distribution pattern of two new putative GPCR-type octopamine receptors in the desert locust (Schistocerca gregaria) Journal of Insect Physiology. 2010;56(8):868–875. doi: 10.1016/j.jinsphys.2010.03.003. [DOI] [PubMed] [Google Scholar]
  • Wang et al. (2014).Wang X, Fang X, Yang P, Jiang X, Jiang F, Zhao D, Li B, Cui F, Wei J, Ma C, Wang Y, He J, Luo Y, Wang Z, Guo X, Guo W, Wang X, Zhang Y, Yang M, Hao S, Chen B, Ma Z, Yu D, Xiong Z, Zhu Y, Fan D, Han L, Wang B, Chen Y, Wang J, Yang L, Zhao W, Feng Y, Chen G, Lian J, Li Q, Huang Z, Yao X, Lv N, Zhang G, Li Y, Wang J, Wang J, Zhu B, Kang L. The locust genome provides insight into swarm formation and long-distance flight. Nature Communications. 2014;5(1):2957. doi: 10.1038/ncomms3957. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Wang & Kang (2014).Wang X, Kang L. Molecular mechanisms of phase change in locusts. Annual Review of Entomology. 2014;59(1):225–244. doi: 10.1146/annurev-ento-011613-162019. [DOI] [PubMed] [Google Scholar]
  • Wang et al. (2012).Wang H, Ma Z, Cui F, Wang X, Guo W, Lin Z, Yang P, Kang L. Parental phase status affects the cold hardiness of progeny eggs in locusts. Functional Ecology. 2012;26(2):379–389. doi: 10.1111/j.1365-2435.2011.01927.x. [DOI] [Google Scholar]
  • Wang et al. (2022).Wang Y, Tong X, Yuan S, Yang P, Li L, Zhao Y, Kang L. Variation of TNF modulates cellular immunity of gregarious and solitary locusts against fungal pathogen Metarhizium anisopliae. Proceedings of the National Academy of Sciences of the United States of America. 2022;119:e2120835119. doi: 10.1073/pnas.2120835119. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Wang et al. (2007).Wang H‐S, Wang X‐H, Zhou C‐S, Huang L‐H, Zhang S‐F, Guo W, Kang L. cDNA cloning of heat shock proteins and their expression in the two phases of the migratory locust. Insect Molecular Biology. 2007;16(2):207–219. doi: 10.1111/j.1365-2583.2006.00715.x. [DOI] [PubMed] [Google Scholar]
  • Wang et al. (2013).Wang Y, Yang P, Cui F, Kang L. Altered immunity in crowded locust reduced fungal (Metarhizium anisopliae) pathogenesis. PLOS Pathogens. 2013;9(1):e1003102. doi: 10.1371/journal.ppat.1003102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Wei et al. (2009).Wei Y, Chen S, Yang P, Ma Z, Kang L. Characterization and comparative profiling of the small RNA transcriptomes in two phases of locust. Genome biology. 2009;10(1):R6. doi: 10.1186/gb-2009-10-1-r6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Wei et al. (2019).Wei J, Shao W, Cao M, Ge J, Yang P, Chen L, Wang X, Kang L. Phenylacetonitrile in locusts facilitates an antipredator defense by acting as an olfactory aposematic signal and cyanide precursor. Science Advances. 2019;5(1):1–13. doi: 10.1126/sciadv.aav5495. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • West-Eberhard (2003).West-Eberhard MJ. Developmental plasticity and evolution. Oxford, UK: Oxford University Press; 2003. [DOI] [Google Scholar]
  • Wiesel, Tappermann & Dorn (1996).Wiesel G, Tappermann S, Dorn A. Effects of juvenile hormone and juvenile hormone analogues on the phase behaviour of Schistocerca gregaria and Locusta migratoria. Journal of Insect Physiology. 1996;42(4):385–395. doi: 10.1016/0022-1910(95)00119-0. [DOI] [Google Scholar]
  • Wilson et al. (2002).Wilson K, Thomas MB, Blanford S, Doggett M, Simpson SJ, Moore SL. Coping with crowds: density-dependent disease resistance in desert locusts. Proceedings of the National Academy of Sciences of the United States of America. 2002;99(8):5471–5475. doi: 10.1073/pnas.082461999. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Wu et al. (2012).Wu R, Wu Z, Wang X, Yang P, Yu D, Zhao C, Xu G, Kang L. Metabolomic analysis reveals that carnitines are key regulatory metabolites in phase transition of the locusts. Proceedings of the National Academy of Sciences of the United States of America. 2012;109(9):3259–3263. doi: 10.1073/pnas.1119155109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Yang et al. (2023a).Yang M, Du B, Xu L, Wang H, Wang Y, Lin K, He G, Kang L. Glutamate-GABA imbalance mediated by miR-8-5p and its STTM regulates phase-related behavior of locusts. Proceedings of the National Academy of Sciences of the United States of America. 2023a;120:2017. doi: 10.1073/pnas.2215660120. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Yang et al. (2019a).Yang P, Hou L, Wang X, Kang L. Core transcriptional signatures of phase change in the migratory locust. Protein and Cell. 2019a;10(12):883–901. doi: 10.1007/s13238-019-0648-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Yang et al. (2019b).Yang M, Wang Y, Liu Q, Liu Z, Jiang F, Wang H, Guo X, Zhang J, Kang L. A β-carotene-binding protein carrying a red pigment regulates body-color transition between green and black in locusts. eLife. 2019b;8:1–20. doi: 10.7554/ELIFE.41362. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Yang et al. (2023b).Yang J, Yu Q, Yu J, Kang L, Guo X. 4-Vinylanisole promotes conspecific interaction and acquisition of gregarious behavior in the migratory locust. Proceedings of the National Academy of Sciences of the United States of America. 2023b;120:2017. doi: 10.1073/pnas.2306659120. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Youngblood et al. (2023).Youngblood JP, Cease AJ, Talal S, Copa F, Medina HE, Rojas JE, Trumper EV, Angilletta MJ, Harrison JF. Climate change expected to improve digestive rate and trigger range expansion in outbreaking locusts. Ecological Monographs. 2023;93(1):1–22. doi: 10.1002/ecm.1550. [DOI] [Google Scholar]
  • Zhang et al. (2019).Zhang L, Lecoq M, Latchininsky A, Hunter D. Locust and grasshopper management. Annual Review of Entomology. 2019;64(1):15–34. doi: 10.1146/annurev-ento-011118-112500. [DOI] [PubMed] [Google Scholar]
  • Zhang et al. (2020).Zhang X, Xu Y, Chen B, Kang L. Long noncoding RNA PAHAL modulates locust behavioural plasticity through the feedback regulation of dopamine biosynthesis. PLOS Genetics. 2020;16(4):1–29. doi: 10.1371/journal.pgen.1008771. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Zhao et al. (2021).Zhao L, Guo W, Jiang F, He J, Liu H, Song J, Yu D, Kang L. Phase-related differences in egg production of the migratory locust regulated by differential oosorption through microRNA-34 targeting activinβ. PLOS Genetics. 2021;17(1):1–17. doi: 10.1371/journal.pgen.1009174. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplemental Information 1. PRISMA Checklist.
peerj-14-21374-s001.docx (271.1KB, docx)
DOI: 10.7717/peerj.21374/supp-1
Supplemental Information 2. Search strings.
peerj-14-21374-s002.docx (16.5KB, docx)
DOI: 10.7717/peerj.21374/supp-2
Supplemental Information 3. Complete lists of included studies.
peerj-14-21374-s003.xlsx (72.9KB, xlsx)
DOI: 10.7717/peerj.21374/supp-3
Supplemental Information 4. Rationale and contributions.
peerj-14-21374-s004.docx (19.8KB, docx)
DOI: 10.7717/peerj.21374/supp-4

Data Availability Statement

The following information was supplied regarding data availability:

This is a Systematic Review/Meta-analysis.


Articles from PeerJ are provided here courtesy of PeerJ, Inc

RESOURCES