Abstract
Paratransgenesis consists of genetically engineering an insect symbiont to control vector-borne diseases. Biosafety assessments are a prerequisite for the use of genetically modified organisms (GMOs). Assessments rely on the measurement of the possible impacts of GMOs on different organisms, including beneficial organisms, such as pollinators. The bacterium Serratia AS1 has been genetically modified to express anti-Plasmodium effector proteins and does not impose a fitness cost on mosquitoes that carry it. In the present study, we assessed the impact of this bacterium on the native bee Partamona helleri (Meliponini), an ecologically important species in Brazil. Serratia eGFP AS1 (recombinant strain) or a wild strain of Serratia marcescens were suspended in a sucrose solution and fed to foragers, followed by measurements of survival, feeding rate, and behavior (walking and flying). These bacteria did not change any of the variables measured at 24, 72, and 144 h after the onset of the experiment. Recombinant and wild bacteria were detected in the homogenates of digestive tract during the 144 h period analyzed, but their numbers decreased with time. The recombinant strain was detected in the midgut at 24 h and in the hindgut at 72 h and 144 h after the onset of the experiment under the fluorescent microscope. As reported for mosquitoes, Serratia eGFP AS1 did not compromise the foragers of P. helleri, an ecologically relevant bee.
Keywords: Bees, Genetically modified organism, Pollinator, Risk assessment, Serratia, Stingless bee
Introduction
Malaria is one of the deadliest infectious diseases world-wide. Plasmodium parasites, the causative agents of malaria, are transmitted to humans through the bite of infected female Anopheles mosquitoes. Control of malaria is based primarily on reducing vector populations with insecticides and using antimalarial drugs [1]. These tools have been ineffective due to the development of mosquito insecticide resistance and parasite drug resistance [1]. The development of new tools to combat this disease is of high priority.
Paratransgenesis, the genetic manipulation of insect symbiotic microorganisms to block pathogen transmission, is a promising strategy for controlling insect-borne diseases. Its effectiveness is enhanced by the fact that bacteria share the same compartment, the midgut, with the pathogens transmitted by the insects and because bacterial numbers increase dramatically following a blood meal [2, 3]. The facultative aerobic and gram-negative rod-shaped bacteria of the genus Serratia (Enterobacteriaceae) are common components of the midgut microbiota. This genus is a symbiont of many arthropods, such as mosquitoes, bees, sandflies, ticks, and aphids [4–9].
The potential of Serratia eGFP AS1 (Serratia marscescens, AS1 strain) for paratransgenesis has been demonstrated [10–12]. The gene encoding the green fluorescent protein (eGFP) has been integrated into the Serratia eGFP AS1 chromosome. This bacterium contains a plasmid with five anti-Plasmodium effector genes [(MP2) 2—Scorpine—(EPIP) 4—Shiva1—(SM1) 2] under the control of a single promoter, which inhibits the development of Plasmodium falciparum in female Anopheles gambiae and Anopheles stephensi [10]. Both SM1 and MP2 (midgut peptides 1 and 2, respectively) bind to the mosquito midgut surface and inhibit Plasmodium invasion [13, 14]. Scorpine is an antimicrobial peptide found in the venom of the scorpion Pandinus imperator and prevents the formation of gametes and ookinetes of Plasmodium berghei [15]. EPIP (enolase-plasminogen interaction peptide) inhibits mosquito midgut invasion by preventing plasminogen binding to the ookinete surface [13]. The Shiva1 or cecropin-like synthetic antimicrobial lytic peptide kills P. falciparum [16]. All these effector proteins strongly inhibited this pathogen, reducing the oocyst load by up to 93% [10].
The use of any genetically modified organism (GMO) for biological control should impose a minimal cost to its insect carrier [2]. Moreover, a thorough risk assessment to the environment is required before introduction in the field [17]. These assessments include investigating the transfer routes of GMOs, which can be vertical (from mother to offspring), transstadial (between developmental stages), and horizontal (from one individual to another, without being parental), as well as from the effects of the GMO on behavior, survival, and reproduction of potential hosts [10, 11].
The horizontal transfer of the GMO between organisms can occur through the sharing of common resources [10, 18, 19], for example, by water contaminated with the GMO [12]. Normative institutions, such as CTNBio (National Technical Commission of Biosafety, Ministry of Science, Technology and Innovation, Brazil), also require the assessment of the interaction of paratransgenic individuals with the environment, which includes a particular concern regarding the possible harmful effects of GMO on non-target organisms [17], including pollinators [20]. Since bees, as pollinators, play a significant role in maintaining biodiversity [21, 22], these organisms are widely recognized for integrating risk assessment protocols [23–26].
Forager bees perform out-colony tasks, including the search for resources (i.e., water, fiber, resin, nectar, and pollen), which are in direct contact with the external environment [27]. Therefore, risk assessments are preferably carried out on foragers and include assessments of lethality and, to a lesser extent, sublethal effects [28, 29]. Such assessment studies are mostly carried out with the honey bee Apis mellifera as a model organism, but this species is exotic in Neotropical environments such as South America [29, 30]. In this sense, stingless bees (Meliponini) are more representative of Neotropical ecosystems [22, 29] as pollinators of native and cultivated plants [31]. Therefore, stingless bees should be considered in studies to measure the potential risks of GMOs.
The ability of bees to withstand environmental stressors is linked to the gut microbiota [32, 33]. In addition, the gut microbiota can influence the behavior, metabolism, growth, and development of hosts [34, 35]. The microbiota is highly conserved among several species of stingless bees [36]. The stingless bee Partamona helleri (Meliponini) has a wide range of dominant bacterial genera (approximately 33), and the genus Serratia has also been found in this species [8]. Certain Serratia species can also be pathogenic to bees, as was observed for the S. marcescens sicaria strain (Ss1) in honeybee adults [37].
This work evaluated the risk to foragers of P. helleri of ingestion of the genetically modified Serratia eGFP AS1, carrying anti-Plasmodium effectors. We investigated survival, food ingestion (i.e., feeding rate), and walking and flight activities of foragers as it relates to the evaluation of safety to the environment.
Materials and Methods
Bees
Foragers from five colonies of P. helleri, 25 or more days old [27], were obtained from the Central Apiary at the Universidade Federal de Viçosa (UFV), Viçosa—MG (20° 45′14″S; 42° 52′ 55″). These colonies were unrelated and collected in different locations under license ID75536 (ICMBio – SISBIO, Ministério do Meio Ambiente, Brazil). The foragers were captured with a glass bottle at the hive entrance and immediately transported to the Insect Molecular Biology Laboratory (UFV) without controlling the temperature or luminosity. The bees were anesthetized with carbon dioxide for 5 s and then transferred to 500 mL round transparent plastic pots. The foraging bees fasted for 1 h in an incubator (28 ± 1 °C, 70 ± 5% relative humidity (RH), in the dark) until the bioassays began. This fasting period is necessary to stimulate the ingestion of food provided in oral exposure tests [38].
Bacteria
Serratia eGFP AS1 (GenBank: KY935421) was genetically modified to express eGFP (pBAM2-GFP), antimalarial effector proteins [(MP2) 2—Scorpine—(EPIP) 4—Shiva1— (SM1) 2], and resistance to the antibiotic kanamycin. This strain has a yellowish beige color [10]. The wild strain S. marcescens (wild strain MIND01) synthesizes prodigiosin, a naturally reddish pigment at 28 °C, and does not grow in the presence of kanamycin. The recombinant bacterium was provided by the Department of Molecular Microbiology and Immunology, Malaria Research Institute, Johns Hopkins Bloomberg School of Public Health (Baltimore, USA). The wild bacterium was kindly provided by Dr. Maria Cristina Dantas Vanetti at the Industrial Microbiology Laboratory (UFV). Serratia eGFP AS1 was cultured under license CQB 024/97 at the Laboratório de Imunoquímica e Glicobiologia (DBG-UFV). Both strains were grown for 24 h at 28 °C in Petri dishes containing Luria Bertani (LB) broth (composition per liter: 10 g tryptone, 5 g yeast extract, and 10 g NaCl) (Lenoxx—L3022 Sigma-Aldrich, Saint Louis, MO, USA), with 2% agar (Himedia ®—RM026 Technical Data, Mumbai, Maharashtra, India), supplemented with or without kanamycin sulfate (100 μg/mL) (Gibco™—11,815,032 ThermoFisher, Burlington, Ontario, Canada) to obtain isolated colonies. Subsequently, bacteria from each isolated colony were cultured separately for 24 h at 28 °C in 100 mL glass test tubes containing 5 mL of liquid LB medium. Bacteria stocks in LB medium supplemented with 20% glycerol were stored at − 80 °C for later use.
Exposure to the Bacteria
The bacteria (recombinant and wild) stocks were thawed and cultured for 24 h in liquid LB medium at 28 °C and diluted in sterilized sucrose solution (50% v/v) to a final concentration of 108 cells/mL, which was verified with the final optical density (OD) 600 nm of 0.1. Different diets were prepared to expose the bees to four separate treatments: (1) sucrose only (control), (2) sterile LB with sucrose (1:1), (3) Serratia eGFP AS1 (recombinant) with sucrose, and (4) wild S. marcescens with sucrose. For each treatment, we used 20 foragers of each of the five experimental colonies (n = 100 bees per treatment). The experiment was carried out in two independent sets (see below), resulting in a total sampling size of n = 800 bees.
Each diet was offered to 20 bees in a 2 mL microtube drilled at the bottom and inserted through a hole in a 500 mL plastic pot [38]. After 24 h exposure, the diet was changed, and the bees received only 50% sucrose solution (v/v) for the next 120 h. In the first experiment set, the survival and food consumption over 144 h (n = 400 bees) after the onset of the experiment were assessed. In the second set, the behavior at 72 h and the presence of bacteria in the digestive tract and ovary (n = 400 bees) at 24, 72, and 144 h after the onset of the experiment were assessed.
Survival and Food Consumption
Survival was monitored every 24 h for 144 h. Individuals were considered dead when they did not move after stimulation with forceps, and dead bees were discarded [38].
Food consumption was measured by weighing the microtubes on an analytical scale. The weights of the microtubes with the sucrose solution were recorded before feeding and then again before switching. The food, which contained the four different diets, was offered for 24 h. The tubes with the remaining food were then weighed. After 24 h, the microtubes were replaced with microtubes containing only sucrose solution, and the weights of the microtubes were measured 48, 72, 96, 120, and 144 h after the beginning of the assay. Plastic pots without bees, but with microtubes containing sucrose (50% v/v), were kept under experimental conditions to estimate the losses by evaporation. These values were used to correct the feeding rate (amount of food consumed by a given group minus the evaporated liquid) [8, 38, 39].
Detection of Bacteria in the Digestive Tract and Ovary
The presence of Serratia eGFP AS1 and S. marcescens (wild) in the digestive tract of bees was assessed. Fifteen bees (3 bees per colony, totaling 5 colonies) were used for each treatment (i.e., different diets) at 24, 72, and 144 h (n = 180 bees) after the beginning of the assay. The bees were anesthetized on ice. The anesthetized workers (i.e., live but without movements) were sterilized for 3 min with 70% ethanol and washed three times with sterile phosphate-buffered saline (PBS; 0.1 M, pH 7.2). The digestive tract (i.e., midgut and hindgut) was dissected, transferred individually to a microtube (1.5 mL), homogenized in 500 μL of sterile PBS, and serially diluted from 100 to 104. From this homogenate, the micro-drop plating technique was completed using a 20 μL aliquot, which was plated in triplicate, collected for each sample, and transferred to plates with agar and LB medium containing 100 μg/mL kanamycin [40]. The plates were then incubated at 28 °C for 24 h. The bacteria were identified according to their colony phenotype (Supp. Figure 1). Colony GFP fluorescence was detected using a UV transilluminator (High-Performance 2UVTM Transilluminator, λ = 365 nm).
The presence of fluorescent Serratia eGFP AS1 was checked in freshly dissected organs (i.e., digestive tract and ovary) 24 h, 72 h, and 144 h after the onset of the experiment. Bees (n = 5 per treatment) from the four treatments were anesthetized and dissected as described above. The organs were transferred to glass slides mounted with PBS. Samples were analyzed with an Olympus BX60 Epifluorescence Microscope coupled with a QColor Olympus® image capture system using WB filters (450–480 nm) for eGFP.
Walking
Walking activity was studied in groups of 5 individuals from the same colony inside arenas (Petri dishes, 9 cm diameter, 2 cm high). The bottom of the arenas was covered with white filter paper (ash content < 0.1%, diameter 9 cm, thickness 0.13–0.17 mm), and the upper part of the arenas was wrapped with transparent PVC film. The activities were recorded for 10 min with a digital camcorder (HDR-XR520V, Sony Corporation, Tokyo, Japan) at 30 fps and high definition (1920 × 1080 pixels) under a couple of red-light lamps (LED; 6 W) positioned 50 cm above the arenas. The videos (Supp. Videos) were analyzed using the Ethoflow® software (National Institute of Industrial Property-INPI, Ministry of Economy, Brazil, BR 51 2020 000,737–6) [41], considering the time at resting (s) (walked distance ≤ 0.0226 cm/frame), the medium activity time (s) (0.0226 < walked distance ≤ 0.22 cm/frame), the fast activity time (s) (walked distance > 0.22 cm/frame), and cumulative walked distance (cm). Each treatment was studied in two groups of 5 individuals per colony of five different colonies, 72 h after the onset of the experiment (i.e., 48 h after the 24 h treatment period); therefore, 50 individuals were evaluated per treatment, totaling 200 individuals. In the data analysis, the average of individuals in each arena was considered as a replicate. Recordings were performed under red light at 25 ± 2 °C and 70 ± 5% RH [38].
Flight
The same foragers evaluated in the walking bioassay were evaluated using a flight bioassay. The assay consisted of releasing 5 bees at the bottom of a wooden tower (105 cm high × 35 cm long × 35 cm wide) covered laterally with the organza fabric. A white light lamp (LED; 6 W) was placed 5 cm above the top of the tower in a dark room. The bees were kept for 1 min at the base of the tower in a Petri dish for acclimatization and then released. The proportion of individuals that flew to the top of the tower was counted [42]. Two groups of 5 individuals were analyzed for each treatment from the five different colonies (n = 200). The average proportions of the two groups in each colony were used for statistical analyses.
Statistical Analysis
Survival data were used to obtain survival curves using Kaplan–Meier estimators and were first analyzed using the log-rank test. Subsequently, survival curves were pairwise compared using Bonferroni’s method. The values of food consumption were transformed to ln and then subjected to the generalized least squares (GLS) model under different structures of variance–covariance, owing to repeated measures over time. The model was chosen based on parsimony, verification of residual quantile plots, and the lowest Bayesian information criterion (BIC). Back-transformed estimates were then used in graphical plots to represent consumption over time and between treatments. CFU data were rank-transformed and submitted to a linear mixed-effects model with the colony as a random effect. Subsequently, Tukey’s pairwise comparisons were carried out using adjusted P values according to the Westfall method [43]. The variables of walking behavior (time at rest, medium activity time, fast activity time, and walked distance accumulated) were subjected to analysis of variance (ANOVA) with colonies considered as repetitions. For flight behavior data, a generalized linear model (GLM) was fitted with a quasibinomial distribution; adequate distribution for proportion data when there was overdispersion (high residual deviance), and colonies were also used as repetitions. The residues were checked in all models to verify the adequacy of the distributions. All data were analyzed using R software [44] with a significance level of 5%.
Results
Consumption of the different sucrose solutions did not affect the survival of the bees during the 144 h after the onset of the experiment (χ2 = 8.7, df = 3, p = 0.03) (Fig. 1). However, only pairwise contrast between wild and LB survival curves differed significantly (p = 0.014). Food consumption was significantly affected over the studied time points (i.e., 24, 48, 72, 96, 120, and 144 h) (F1,106 = 76.95; p < 0.001), with the highest ingestion occurring between 72 and 96 h (Fig. 2a). However, the amount of food consumed was not significantly different among the treatments (i.e., different food) during the 144 h period analyzed (F3,106 = 0.16; p = 0.92) (Fig. 2b).
Fig. 1.

a Survival of Partamona helleri fed with sterile sucrose solution (control), sterile sucrose solution with sterile LB (1:1), sucrose solution containing Serratia eGFP AS1 (recombinant), and sucrose solution containing Serratia marcescens (wild). The overall log-rank test indicates a significant difference in at least one of the contrasts between treatments (χ2 = 8.7, df = 3, p = 0.03). b Number of bees remaining at risk per treatment for each assessed time
Fig. 2.

Ingestion of sucrose solution (mg/bee) by Partamona helleri. a Food consumption considering all treatments versus time after exposure. b Consumption according to treatments: sterile sucrose (control), sterile sucrose plus sterile LB (1:1), Serratia eGFP AS1 (recombinant) in sucrose, and Serratia marcescens (wild) in sucrose. The values are means of five biological replicates, 20 bees per treatment (n = 400). ns, not significant; solid line and bars: means (± 95% confidential intervals)
Both Serratia eGFP AS1 and S. marcescens (wild) were detected in the homogenate obtained from the digestive tract (midgut + hindgut) dissected at 24, 72, and 144 h after the onset of the experiment (Fig. 3, Supp. Figure 1). The bacterial colony-forming units (CFUs) were higher at 24 h than at 72 h (z = − 3.57, p = 0.001) and 144 h (z = − 2.21, p = 0.027) but were similar between 72 and 144 h (z = 1.36, p = 0.17) for the recombinant strain. The CFUs were higher at 24 h than at 72 h (z = − 3.65, p < 0.001) and 144 h (z = − 4.40, p < 0.001) but were similar between 72 and 144 h (z = − 0.76, p = 0.45) for the wild strain. Serratia eGFP AS1 was detected in the midgut of bees at 24 h and in the hindgut at 72 h and 144 h after the onset of the experiment (Fig. 4). However, this modified bacterium was not detected in the ovaries at any of the analyzed times (Fig. 5).
Fig. 3.

Colony-forming units (CFUs/mL) of Serratia eGFP AS1 (recombinant) and Serratia marcescens (wild) obtained from Partamona helleri disgestive tract homogenates. CFUs were higher at 24 h than at 72 h (z = − 3.65, p < 0.001) and 144 h (z = − 4.40, p < 0.001), but it was similar between 72 and 144 h (z = − 0.76, p = 0.45) for the wild strain. CFUs were higher at 24 h than at 72 h (z = − 3.57, p = 0.001) and 144 h (z = − 2.21, p = 0.027); however, it was similar between 72 and 144 h (z = 1.36, p = 0.17) for the recombinant strain. The CFUs are means of five biological replicates in groups of 3 bees per treatment (n = 90). Different letters indicate significant differences (Tukey’s test; α = 5%)
Fig. 4.

Portions of midgut and hindgut of foragers of Partamona helleri. A, B Midgut of a bee that ingested not inoculated sucrose solution (control), and C, D midgut of a bee that ingested food with Serratia eGFP AS1 (recombinant, green fluorescent, and pointed by arrows) 24 h after the onset of the experiment. E, F Hindgut of a bee that ingested not inoculated sucrose solution, and G, H hindgut of a bee that ingested food with Serratia eGFP AS1 (arrows) 72 h after the onset of the experiment. I, J Hindgut of a bee that ingested not inoculated sucrose solution, and K, L hindgut of bees that ingested food with Serratia eGFP AS1 (arrows) 144 h after the onset of the experiment. Midgut (mg); Malpighian tubules (mt); rectal pads (rp) in the hindgut. Bars for: 200 μm
Fig. 5.

Ovaries of foragers of Partamona helleri. A, B Ovary after the ingesting of not inoculated sucrose solution (control) 144 h after the onset of the experiment. C, D Ovary after the ingestion of food with Serratia eGFP AS1 (recombinant) 144 h after the onset of the experiment. Ovary (ov); not developed follicle (fl); oviduct (od); trachea (t). Bar: 200 μm
There was no significant difference between treatments in any of the variables associated with walking activity (Supp. Table 1, Supp. Videos). The resting time (F3,16 = 0.2; P = 0.9; R2 = 0.15) (Fig. 6a), medium activity (F3,16 = 0.9; P = 0, 5; R2 = 0.013) (Fig. 6b), or fast activity (F3,16 = 0.0; P = 1.0; R2 = 0.18) (Fig. 6c) were similar among treatments, and the accumulated distance walked (F3,16 = 0.3; P = 0.9; R2 = 0.13) (Fig. 6d). Flight activity was also not affected by the treatments (F3,16 = 0.2; P = 0.89) (Fig. 7).
Fig. 6.

The walking activity of Partamona helleri after ingestion of different sucrose solutions: not inoculated (control), with sterile LB (1:1), with Serratia eGFP AS1 (recombinant), and with Serratia marcescens (wild). The constituent values within each part of the graph represent the averages obtained from a time at rest, b medium activity time, c fast activity time, and d walked distance accumulated over 10 min. The walking activity is the mean of five biological replicates in two groups of 5 bees per treatment (n = 200). There was no significant difference in any of the variables based on the analysis of variance (α = 5%)
Fig. 7.

The proportion of foragers of Partamona helleri that flew after ingestion of different sucrose solutions: not inoculated (control), with sterile LB (1:1), with Serratia eGFP AS1 (recombinant), and with Serratia marcescens (wild). The average proportion of five biological replicates in two groups of 5 bees per treatment (n = 200). There was no significant difference in any of the variables analyzed according to the generalized linear model (α = 5%), ns indicates not significant; bars: mean (± standard error)
Discussion
The present study is the first to investigate the possible effects of digestive tract colonization of a stingless bee by a genetically modified bacterium (Serratia eGFP AS1) developed for the control of vector-borne diseases. Our results demonstrated that ingestion of the modified bacterium did not affect the lifespan or behavior of P. helleri foragers. Foragers colonized by Serratia eGFP AS1 had similar survival rates, ingested the same amount of food, and had similar walking and flying activities compared to individuals that ingested a non-recombinant bacterium or sucrose controls.
Our results corroborate the studies using mosquitoes (e.g., Anopheles gambie and Anopheles stephensi) colonized by Serratia eGFP AS1 and Serratia AS1 (wild strain), and Culex pipiens colonized by Serratia mCherry AS1, for which no negative effects on survival, feeding behavior, or fertility were detected [10, 11]. The wild strain (S. marcescens) used in our work as a control for the inoculated diet was also not harmful to the bees. Although this wild strain is not the wild Serratia AS1 that derivate the modified Serratia eGFP AS1, these two wild strains did not contain the expression cassette used in the modified strain [10]. In general, the genus Serratia is non-pathogenic and is constitutively found in the guts of many arthropods, including mosquitoes, bees, sandflies, ticks, beetles, and aphids [4–9, 45]. However, certain S. marcescens strains are pathogenic. For instance, strain Ss1 is pathogenic when in high abundance in honeybees [33, 37], whereas RPWL1 can be pathogenic to the beetle Rhynchophorus ferrugineus [46]. Conversely, a genetically modified Serratia symbiotica did not affect the fitness or survival of aphids, suggesting that it is an important future paratransgenic tool for the control of agricultural pests [9].
Serratia eGFP AS1 and wild S. marscencens were recovered from the digestive tract (midgut + hindgut; homogenate) of P. helleri at 24, 72, and 144 h after the onset of the experiment; however, there was a reduction in bacterial numbers over time. This reduction may be related to the inability of bacteria from the external environment to successfully colonize the digestive tract of bees protected by the natural microbiota, which can prevent the proliferation of exogenous bacteria [34, 47, 48]. Corroborating this, the spread of Serratia eGFP AS1 through the digestive tract of foragers of P. helleri was limited. Serratia eGFP AS1 was detected only in the midgut 24 h after the onset of the experiment, and only in the hindgut at 72 h and 144 h after the onset of the experiment under the fluorescent microscope. This change in the location may be due to the protection conferred by bacteria naturally present in the midgut of Meliponini bees, such as Gialliamella and Lactobacillus [8, 36, 48].
In mosquitoes, Serratia eGFP AS1 persists for at least three consecutive generations and colonizes organs other than the midgut, including the ovaries and male accessory glands. In addition, this bacterium rapidly spreads among mosquito populations in the laboratory [10]. In bees, possible interaction with the bacteria occurs when they leave the colony for foraging, a function performed at the end of the bee’s life [27]. Foragers can transfer the food with bacteria through trophallactic interactions (mouth-to-mouth contacts) to other individuals of the colony. Thus, the bacteria can rapidly spread to colony individuals, including the queen, via horizontal transfer [49]. If this bacterium can reach the active ovaries of the queen or if this bacterium can be transferred to the eggs and immature from the queen, as observed in mosquito females [10, 11], are unanswered questions. In the current work, Serratia eGFP AS1 was not detected in ovaries of foragers (individuals with atrophied ovaries), so it can be inferred that the propagation of this bacterium vertically would be limited in the case of P. helleri. This study highlights the importance of studying the effects of GMOs on non-target organisms, including pollinators, to aid in decision-making for the release of GMOs into the environment.
Data Availability
The two bacterial strains used in the experiments are stored in the Laboratório de Biologia Molecular de Insetos at UFV, Brazil. The data that support the findings are available from the corresponding author upon request.
Supplementary Material
Acknowledgements
The authors thank Dr. Maria Cristina Dantas Vanetti for providing the wild Serratia strain, Prof. Dr. Hilário Cuquetto Mantovani (Departamento de Microbiologia—UFV) and Dr. Tania Maria Fernandes Salomão (Departamento de Biologia Geral—UFV) for assistance with bacteria handling.
Funding
This work was supported by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES—001), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq—301725/2019-5) and Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG, CBB-APQ-00247-14), NIH grant R01AI031478, and the Bloomberg Philanthropies.
Footnotes
Supplementary Information The online version contains supplementary material available at https://doi.org/10.1007/s00248-021-01805-9.
Declarations
Research Involving Human Participants and/or Animals No approval of research ethics committees was required to accomplish the goals of this study because experimental work was conducted with an unregulated invertebrate species.
Informed Consent Not applicable.
Conflict of Interest The authors declare no competing interests.
References
- 1.World Health Organization (2019) World malaria report 2019 World Health Organization. https://apps.who.int/iris/handle/10665/330011. License: CC BY-NC-SA 3.0 IGO
- 2.Coutinho-Abreu IV, Zhu KY, Ramalho-Ortigão M (2010) Transgenesis and paratransgenesis to control insect-borne diseases: current status and future challenges. Parasitol Int 59(1):1–8. 10.1016/j.parint.2009.10.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Wang S, Jacobs-Lorena M (2013) Genetic approaches to interfere with malaria transmission by vector mosquitoes. Trends Biotechnol 31(3):185–193. 10.1016/j.tibtech.2013.01.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Pumpuni CB, Beier MS, Nataro JP, Guers LD, Davis JR (1993) Plasmodium falciparum: inhibition of sporogonic development in Anopheles stephensi by gram-negative bacteria. Exp Parasitol 77(2):195–199. 10.1006/expr.1993.1076 [DOI] [PubMed] [Google Scholar]
- 5.Gusmão DS, Santos AV, Marini DC, Russo ES, Peixoto AM, Bacci Júnior M, Berbert-Molina MA, Lemos FJ (2007) First isolation of microorganisms from the gut diverticulum of Aedes aegypti, Diptera: Culicidae: new perspectives for an insect-bacteria association. Mem Inst Oswaldo Cruz 102(8):919–924. 10.1590/S0074-02762007000800005 [DOI] [PubMed] [Google Scholar]
- 6.Maleki-Ravasan N, Oshaghi MA, Hajikhani S, Saeidi Z, Akhavan AA, Gerami-Shoar M, Shirazi MH, Yakhchali B, Rassi Y, Afshar D (2013) Aerobic microbial community of insectary population of Phlebotomus papatasi. J Arthropod-Borne Dis 18(1):69–81 [PMC free article] [PubMed] [Google Scholar]
- 7.Li CH, Jie CAO, Zhou YZ, Zhang HS, Gong HY, Zhou JL (2014) The midgut bacterial flora of laboratory-reared hard ticks, Haemaphysalis longicornis, Hyalomma asiaticum, and Rhipicephalus haemaphysaloides. J Integr Agric 13:1766–1771. 10.1016/S2095-3119(13)60517-1 [DOI] [Google Scholar]
- 8.Botina LL, Vélez M, Barbosa WF, Mendonça AC, Pylro VS, Tótola MR, Martins GF (2019) Behavior and gut bacteria of Partamona helleri under sublethal exposure to a bioinsecticide and a leaf fertilizer. Chemosphere 234:187–195. 10.1016/j.chemosphere.2019.06.048 [DOI] [PubMed] [Google Scholar]
- 9.Elston KM, Perreau J, Maeda GP, Moran NA, Barrick JE (2020) Engineering a culturable Serratia symbiotica strain for aphid paratransgenesis. Appl EnvironMicrobiol 87(4):e02245–e2320. 10.1128/AEM.02245-20 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Wang S, Dos-Santos AL, Huang W, Liu KC, Oshaghi MA, Wei G, Agre P, Jacobs-Lorena M (2017) Driving mosquito refractoriness to Plasmodium falciparum with engineered symbiotic bacteria. Science 357(6358):1399–1402. 10.1126/science.aan5478 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Koosha M, Vatandoost H, Karimian F, Choubdar N, Abai MR, Oshaghi MA (2018) Effect of Serratia AS1 (Enterobacteriaceae: Enterobacteriales) on the fitness of Culex pipiens (Diptera: Culicidae) for paratransgenic and RNAi approaches. J Med Entomol 56(2):553–559. 10.1093/jme/tjy183 [DOI] [PubMed] [Google Scholar]
- 12.Koosha M, Vatandoost H, Karimian F, Choubdar N, Oshaghi MA (2019) Delivery of a genetically marked Serratia AS1 to medically important arthropods for use in RNAi and paratransgenic control strategies. Microb Ecol 78(1):185–194. 10.1007/s00248-018-1289-7 [DOI] [PubMed] [Google Scholar]
- 13.Ghosh AK, Ribolla PE, Jacobs-Lorena M (2001) Targeting Plasmodium ligands on mosquito salivary glands and midgut with a phage display peptide library. PNAS 98(23):13278–13281. 10.1073/pnas.241491198 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Vega-Rodríguez J, Ghosh AK, Kanzok SM, Dinglasan RR, Wang S, Bongio NJ, Kalume DE, Miuraf K, Long CA, Pandey A, Jacobs-Lorena M (2014) Multiple pathways for Plasmodium ookinete invasion of the mosquito midgut. PNAS 111(4):E492–E500. 10.1073/pnas.1315517111 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Conde R, Zamudio FZ, Rodríguez MH, Possani LD, (2000) Scorpine, an anti-malaria and anti-bacterial agent purified from scorpion venom. FEBS Lett 471(2–3):165–168. 10.1016/S0014-5793(00)01384-3 [DOI] [PubMed] [Google Scholar]
- 16.Jaynes JM, Burton CA, Barr SB, Jeffers GW, Julian GR, White KL, Enright FM, Klei TR, Laine RA (1988) In vitro cytocidal effect of novel lytic peptides on Plasmodium falciparum and Trypanosoma cruzi. FASEB J 2(13):2878–2883. 10.1096/fasebj.2.13.3049204 [DOI] [PubMed] [Google Scholar]
- 17.CTNBio nº 24, de 07.01.2020 <https://www.mctic.gov.br/mctic/opencms/legislacao/outros_atos/resolucoes/Resolucao_Normativa_CTNBio_n_24_de_07012020.html?fbclid=IwAR3tstN7JdacfZtV3yn94BCItKulfulpJ3XNHXxDOP-1NE5TsdwSTREUH5A> (Accessed 18 April 2020)
- 18.Eggers B, Mackenzie R (2000) The Cartagena protocol on biosafety. J Int Econ Law 3(3):525–543. 10.1093/jiel/3.3.525 [DOI] [Google Scholar]
- 19.Engel P, Kwong WK, McFrederick Q, Anderson KE, Barribeau SM, Chandler JA, Cornman SR, Dainat J, Miranda JR, Doublet V, Emery O, Evans JD, Farinelli L, Flenniken ML, Granberg F, Grasis JA, Gauthier L, Hayer J, Koch H, Kocher S, Martinson VG, Moran N, Munoz-Torres M, Newton I, Paxton RJ, Powell E, Sadd BM, Schmid-Hempel P, Schmid-Hempel R, Song SJ, Schwarz RS, Dennis vanEngelsdorp D, Dainatab B, (2016) The bee microbiome: impact on bee health and model for evolution and ecology of host-microbe interactions. MBio 7(2):e02164–e2215. 10.1128/mBio.02164-15 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Eckerstorfer M, Benedict M, Franz G, Gaugitsch H, Greiter A, Heissenberger A, Knol B, Kumschick S, Nentwig W, Rabitsch W (2012) Defining environmental risk assessment criteria for GM insects to be placed on the EU market. IOBC/wprs Bulletin 73:45–50. 10.2903/sp.efsa.2010.EN-71 [DOI] [Google Scholar]
- 21.Allen-Wardell G, Bernhardt P, Bitner R, Burquez A, Buchmann S, Cane J, Cox PA, Dalton V, Feinsinger P, Ingram M, Inouye D, Jones CE, Kennedy K, Kevan P, Koopowitz H, Medellin R, Medellin-Morales S, Nabhan GP, Pavlik B, Tepedino V, Torchio P, Walker S (1998) The potential consequences of pollinator declines on the conservation of biodiversity and stability of food crop yields. Conserv Biol 8–17. 10.1046/j.1523-1739.1998.97154.x [DOI]
- 22.Slaa E, Sánchez Chaves L, Malagodi-Braga K, Hofstede F (2006) Stingless bees in applied pollination: practice and perspectives. Apidologie 37(2):293–315. 10.1051/apido:2006022 [DOI] [Google Scholar]
- 23.Villa S, Vighi M, Finizio A, Serini GB (2000) Risk assessment for honeybees from pesticide-exposed pollen. Ecotoxicology 9(4):287–297. 10.1023/A:1026522112328 [DOI] [Google Scholar]
- 24.Malone LA, Pham-Delègue MH (2001) Effects of transgene products on honey bees (Apis mellifera) and bumblebees (Bombus sp.). Apidologie 32(4):287–304. 10.1051/apido:2001130 [DOI] [Google Scholar]
- 25.Romeis J, Bartsch D, Bigler F, Candolfi MP, Gielkens MM, Hartley SE, Hellmich RL, Huesing JE, Jepson PC, Layton R, Quemada H, Raybould A, Rose RI, Schiemann J, Sears MK, Shelton AM, Sweet J, Vaituzis Z, Wolt JD (2008) Assessment of risk of insect-resistant transgenic crops to nontarget arthropods. Nat Biotechnol 26(2):203–208. 10.1038/nbt1381 [DOI] [PubMed] [Google Scholar]
- 26.Thompson HM (2010) Risk assessment for honey bees and pesticides—recent developments and ‘new issues.’ Pest Manag Sci 66(11):1157–1162. 10.1002/ps.1994 [DOI] [PubMed] [Google Scholar]
- 27.Kerr WE, Carvalho GA, Nascimento VA (1996) Abelha uruçu: biologia, manejo e conservação (vol. 2). Fundação Acangaú. 36pp [Google Scholar]
- 28.Desneux N, Decourtye A, Delpuech JM (2007) The sublethal effects of pesticides on beneficial arthropods. Annu Rev Entomol 52:81–106. 10.1146/annurev.ento.52.110405.091440 [DOI] [PubMed] [Google Scholar]
- 29.Lima MAP, Martins GF, Oliveira EE, Guedes RNC (2016) Agro-chemical-induced stress in stingless bees: peculiarities, underlying basis, and challenges. J Comp Physiol 202(9–10):733–747. 10.1007/s00359-016-1110-3 [DOI] [PubMed] [Google Scholar]
- 30.Barbosa WF, Smagghe G, Guedes RNC (2015) Pesticides and reduced-risk insecticides, native bees and pantropical stingless bees: pitfalls and perspectives. Pest Manag Sci 71(8):1049–1053. 10.1002/ps.4025 [DOI] [PubMed] [Google Scholar]
- 31.Giannini TC, Boff S, Cordeiro GD, Cartolano EA, Veiga AK, Imperatriz-Fonseca VL, Saraiva AM (2015) Crop pollinators in Brazil: a review of reported interactions. Apidologie 46(2):209–223. 10.1007/s13592-014-0316-z [DOI] [Google Scholar]
- 32.Li JH, Evans JD, Li WF, Zhao YZ, DeGrandi-Hoffman G, Huang SK, Li ZG, Hamilton M, Chen YP (2017) New evidence showing that the destruction of gut bacteria by antibiotic treatment could increase the honey bee’s vulnerability to Nosema infection. PloS One 12(11):e0187505. 10.1371/journal.pone.0187505 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Raymann K, Shaffer Z, Moran NA (2017) Antibiotic exposure perturbs the gut microbiota and elevates mortality in honeybees. PLoS Biol 15(3):e2001861. 10.1371/journal.pbio.2001861 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Zheng H, Steele MI, Leonard SP, Motta EV, Moran NA (2018) Honey bees as models for gut microbiota research. Lab Anim 47(11):317–325. 10.1038/s41684-018-0173-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Raymann K, Moran NA (2018) The role of the gut microbiome in health and disease of adult honey bee workers. Curr Opin Insect Sci 26:97–104. 10.1016/j.cois.2018.02.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Kwong WK, Medina LA, Koch H, Sing KW, Soh EJY, Ascher JS, Jaffé R, Moran NA (2017) Dynamic microbiome evolution in social bees. Sci Adv 3(3):e1600513. 10.1126/sciadv.1600513 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Burritt NL, Foss NJ, Neeno-Eckwall EC, Church JO, Hilger AM, Hildebrand JA, Warshauer DM, Perna NT, Burritt JB (2016) Sepsis and hemocyte loss in honey bees (Apis mellifera) infected with Serratia marcescens strain sicaria. PLoS One 11(12):e0167752. 10.1371/journal.pone.0167752 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Botina LL, Bernardes RC, Barbosa WF, Lima MAP, Guedes RN, Martins GF (2020) Toxicological assessments of agrochemical effects on stingless bees (Apidae, Meliponini). MethodsX 100906. 10.1016/j.mex.2020.100906 [DOI] [PMC free article] [PubMed]
- 39.Rodrigues CG, Krüger AP, Barbosa WF, Guedes RNC (2016) Leaf fertilizers affect survival and behavior of the neotropical stingless bee Friesella schrottkyi (Meliponini: Apidae: Hymenoptera). J Econ Entomol 109(3):1001–1008. 10.1093/jee/tow044 [DOI] [PubMed] [Google Scholar]
- 40.Morton RD (2001) Aerobic plate count. In: Dowes FP, Ito K (ed) Compendium of methods for the microbiological examination of foods, 4th edn. APHA, pp183–193 [Google Scholar]
- 41.Bernardes RC, Lima MAP, Guedes RNC, da Silva CB, Martins GF (2021) Ethoflow: computer vision and artificial intelligence-based software for automatic behavior analysis. Sensors 21(9):3237. 10.3390/s21093237 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Tomé HVV, Barbosa WF, Martins GF, Guedes RNC (2015) Spinosad in the native stingless bee Melipona quadrifasciata: regrettable non-target toxicity of a bioinsecticide. Chemosphere 124:103–109. 10.1016/j.chemosphere.2014.11.038 [DOI] [PubMed] [Google Scholar]
- 43.Westfall PH (1997) Multiple testing of general contrasts using logical constraints and correlations. J Am Stat Assoc 92:299–306. 10.1080/01621459.1997.10473627 [DOI] [Google Scholar]
- 44.R Core Team (2018) R: a language and environment for statistical computing R Foundation for Statistical Computing, Vienna. https://www.R-project.org [Google Scholar]
- 45.Pu YC, Hou YM (2016) Isolation and identification of bacterial strains with insecticidal activities from Rhynchophorus ferrugineus Oliver (Coleoptera: Curculionidae). J Appl Entomol 140(8):617–626. 10.1111/jen.12293 [DOI] [Google Scholar]
- 46.Muhammad A, Habineza P, Ji T, Hou Y, Shi Z (2019) Intestinal microbiota confer protection by priming the immune system of Red Palm Weevil Rhynchophorus ferrugineus Olivier (Coleoptera: Dryophthoridae). Front Physiol 10:1303. 10.3389/fphys.2019.01303 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Kwong WK, Engel P, Koch H, Moran NA (2014) Genomics and host specialization of honey bee and bumble bee gut symbionts. PNAS 111(31):11509–11514. 10.1073/pnas.1405838111 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Anderson KE, Sheehan TH, Eckholm BJ, Mott BM, DeGrandi-Hoffman G (2011) An emerging paradigm of colony health: microbial balance of the honey bee and hive (Apis mellifera). Insectes Soc 58(4):43. 10.1007/s00040-011-0194-6 [DOI] [Google Scholar]
- 49.Grüter C, Acosta LE, Farina WM (2006) Propagation of olfactory information within the honeybee hive. Behav Ecol Sociobiol 60(5):707–715. 10.1007/s00265-006-0214-0 [DOI] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The two bacterial strains used in the experiments are stored in the Laboratório de Biologia Molecular de Insetos at UFV, Brazil. The data that support the findings are available from the corresponding author upon request.
