Skip to main content
Frontiers in Plant Science logoLink to Frontiers in Plant Science
. 2023 Feb 10;14:1059574. doi: 10.3389/fpls.2023.1059574

Pearl millet response to drought: A review

Nikee Shrestha 1,2, Hao Hu 1, Kumar Shrestha 1, Andrew N Doust 1,*
PMCID: PMC9955113  PMID: 36844091

Abstract

The C4 grass pearl millet is one of the most drought tolerant cereals and is primarily grown in marginal areas where annual rainfall is low and intermittent. It was domesticated in sub-Saharan Africa, and several studies have found that it uses a combination of morphological and physiological traits to successfully resist drought. This review explores the short term and long-term responses of pearl millet that enables it to either tolerate, avoid, escape, or recover from drought stress. The response to short term drought reveals fine tuning of osmotic adjustment, stomatal conductance, and ROS scavenging ability, along with ABA and ethylene transduction. Equally important are longer term developmental plasticity in tillering, root development, leaf adaptations and flowering time that can both help avoid the worst water stress and recover some of the yield losses via asynchronous tiller production. We examine genes related to drought resistance that were identified through individual transcriptomic studies and through our combined analysis of previous studies. From the combined analysis, we found 94 genes that were differentially expressed in both vegetative and reproductive stages under drought stress. Among them is a tight cluster of genes that are directly related to biotic and abiotic stress, as well as carbon metabolism, and hormonal pathways. We suggest that knowledge of gene expression patterns in tiller buds, inflorescences and rooting tips will be important for understanding the growth responses of pearl millet and the trade-offs at play in the response of this crop to drought. Much remains to be learnt about how pearl millet’s unique combination of genetic and physiological mechanisms allow it to achieve such high drought tolerance, and the answers to be found may well be useful for crops other than just pearl millet.

Keywords: drought, pearl millet, RNA-Seq, tillers, QTL, abiotic stress

1. Introduction

C4 millets, including foxtail millet (Setaria italica), barnyard millet (Echinochloa frumantacea and E. esculenta), proso or common millet (Panicum milaceum), and pearl millet (Cenchrus americanus) are extremely drought tolerant, and are relied on by farmers in marginal growing environments in many regions of the world (Doust et al., 2009; Li and Brutnell, 2011; Renganathan et al., 2020; Pardo and VanBuren, 2021; Satyavathi et al., 2021). Pearl millet is one of the most tolerant, being domesticated from its wild progenitor, Cenchrus americanus ssp.violaceum in the Sahel region of West Africa (Oumar et al., 2008; Burgarella et al., 2018), where annual rainfall varies between 200 to 600 mm (Bidinger et al., 1987). In this region, growing areas are characterized by a long dry season and a highly variable and short rainy season, conditions where few other grain crops would consistently yield, or even survive (Debieu et al., 2018). Several pearl millet accessions have been found from even drier regions, including areas in the Mauritania and Mali regions with average rainfall less than 50 mm (Harlan, 1975; Pucher et al., 2015). Because of its drought-hardiness, pearl millet is pre-adapted for the predicted increased desertification that will result from climate change (Council, 2010), and has behavioral responses to drought damage that preserve at least some yield for the farmer. Recent breeding efforts have been directed at increasing yield and decreasing susceptibility to diseases (Serba et al., 2017), with a concomitant change in the architecture of plants from many-tillered to few, and for inflorescences on those few tillers to be much larger and higher-yielding. This so-called ideal architecture (Jiao et al., 2010) is most efficient under more domesticated growing environments, with adequate water and soil nutrients, but may be less efficient under typical subsistence agriculture with uncertain water supplies. Pearl millet has the potential to play an important role in feeding the expanding world population, predicted to reach 9.1 billion by 2050, where, to meet the food demand of this huge population, cereal production needs to increase from 2.1 billion to up to 3 billion tons (Alexandratos, 2009). Making better use of marginal lands for crop cultivation will be an important component in increasing food production, and pearl millet will be a useful crop in these areas, as well as offering many lessons in tolerating drought that may be able to be translated to other crops. Importantly, breeders need to take the drought responses of pearl millet in the landscape in which it is best adapted into consideration in their breeding efforts.

Studies of the effects of drought on pearl millet include genetic analyses of variation in flowering time (Yadav et al., 2004), tillering (Mahalakshmi et al., 1987), grain yield (Bidinger et al., 1987; Yadav et al., 2002; Yadav et al., 2004), biochemical analyses (Choudhary et al., 2021), osmolyte analysis (Kusaka et al., 2005b), proteomic analysis (Ghatak et al., 2016) and gene expression analysis (Choudhary and Padaria, 2015; Dudhate et al., 2018; Jaiswal et al., 2018; Shivhare et al., 2020a; Shivhare et al., 2020b). The application of drought stress varies radically between these studies, from simulating drought using osmotically stressing chemicals to field trials. This review analyzes the characteristics of pearl millet which foster drought resistance, including both short- and longer-term responses to drought. The great variation in pearl millet accessions that is available, as well as the feasibility of introgressing desirable characteristics from wild species, results in a huge range of possibilities for engineering drought tolerance/resistance in pearl millet. We provide an overview of the morphological, physiological, and biochemical mechanisms pearl millet uses to avoid or tolerate drought stress, a detailed analysis of what we have learnt from quantitative trait locus (QTL) analysis and transcriptomic studies, and provide recommendations about where effort might best next be placed.

2. Pearl millet responses to drought resistance

In pearl millet, drought studies have been conducted in each of the three main phases: vegetative, panicle development, and grain-filling (Shivhare et al., 2020a) and these studies have identified resistance mechanisms involving drought avoidance, tolerance, escape, and recovery. These mechanisms can be grouped into short- and long-term responses, as we discuss below ( Figure 1 ). In addition, pearl millet is a C4 grass using the NADP-dependent malic enzyme (NADP-ME) pathway and is thus already preadapted for efficient water use in high light environments (Pardo and VanBuren, 2021). C4 grasses initially fix CO2 in the mesophyll cells to make a 4-carbon sugar that is then transported to specialized bundle sheath cells, where the CO2 is released before entering the Rubisco C3 pathway to make glucose. The light reactions of photosynthesis also occur preferentially in the mesophyll cells, rather than the bundle sheath cells, thus decoupling oxygen evolution via the splitting of water from carbon fixation via the Rubisco pathway, reducing competition between oxygen and CO2 molecules for the Rubisco enzyme. In practical terms, this increases water use efficiency by allowing C4 plants to have less need for gas exchange to get rid of excess oxygen, reducing the amount of time that stomates need to be open for gas exchange and thus for water loss, compared to C3 grasses like wheat or rice.

Figure 1.

Figure 1

Short-term and long-term responses of pearl millet to adapt drought stress. ROS, Reactive oxygen species; HO, Hydroxyl radical; H2O2, Hydrogen peroxide; APX, Ascorbate peroxide; GPX, Glutathione peroxidase; SOD, Superoxide dismutase.

2.1. Short term responses

2.1.1. Stomatal conductance

Stomata are vital to the plant’s existence, as they provide passage for gas and water exchange to conduct photosynthesis and transpiration (Li et al., 2017). Generally, stomatal closure is highly influenced by environmental conditions and is the first step for avoiding water loss in water stressed conditions, but plants do it at the expense of gaining carbon dioxide for carbon fixation. Stomatal conductance in pearl millet has been implicated in drought tolerance, as a major QTL for drought tolerance on linkage group 2 co-localizes with one of the QTL for lower transpiration rate under drought stress ( Tables 1 , S1 ) (Aparna et al., 2015; Tharanya et al., 2018).

Table 1.

Summary of QTLs identified associated with yield component traits during drought stress caused at various stages of growth period across the seven linkage groups from various studies.

Drought stress imposed at vegetative stage Drought stress imposed at reproductive stage
Biomass production:
 LG 1 and 4 (Kholová et al., 2012; Aparna et al., 2015)
 LG 2 (Kholová et al., 2012; Aparna et al., 2015; Debieu et al., 2018)
 LG 3 (Debieu et al., 2018)
 LG 6 (Kholová et al., 2012; Debieu et al., 2018)
 LG 7 (Kholová et al., 2012; Aparna et al., 2015)
Leaf dry weight
 LG 2, 6 and 7 (Aparna et al., 2015)
Leaf area
 LG 2, 5 and 6 (Aparna et al., 2015)
Specific leaf weight
 LG 1, 2 and 5 (Aparna et al., 2015)
Stem dry weight
 LG 1, 2 and 5 (Aparna et al., 2015)
Tiller number
 LG 1 and 4 (Aparna et al., 2015)
Shoot weight
 LG 2 and 5 (Aparna et al., 2015)
Root dry weight
 LG 2 and 7 (Aparna et al., 2015)
Transpiration rate under low vapor pressure deficit (VPD)
 LG 2 and 7 (Kholová et al., 2012)
 LG 3 (Kholová et al., 2012; Aparna et al., 2015)
Transpiration rate under high VPD
 LG 1, 4 and 6 (Aparna et al., 2015)
 LG 2 (Kholová et al., 2012; Aparna et al., 2015)
 LG 7 (Kholová et al., 2012)
Transpiration under low VPD
 LG 2 and 3 (Kholová et al., 2012)
 LG 6 (Aparna et al., 2015)
 LG 7 (Kholová et al., 2012; Aparna et al., 2015)
Transpiration under high VPD
 LG 2 and 7 ( Kholová et al., 2012; Aparna et al., 2015 )
 LG 1, 5 and 6 (Aparna et al., 2015)
 LG 3 (Kholová et al., 2012)
Biomass production
 LG 2 (Yadav et al., 2002)
Grain yield
 LG 1 and 2 (Yadav et al., 2002; Yadav et al., 2004; Bidinger et al., 2007)
 LG 3 and 4 (Bidinger et al., 2007)
 LG 5 (Yadav et al., 2004)
 LG 7 ((Yadav et al., 2004; Bidinger et al., 2007)
Grain mass
 LG 2 (Yadav et al., 2002; Bidinger et al., 2007)
Harvest index
 LG 2 (Yadav et al., 2002; Yadav et al., 2004; Bidinger et al., 2007)
 LG 6 (Yadav et al., 2002; Yadav et al., 2004)
 LG 3, 5 and 7 (Yadav et al., 2004; Bidinger et al., 2007)
Panicle harvest index
 LG 1 (Yadav et al., 2004; Bidinger et al., 2007)
 LG 5 and 7 (Yadav et al., 2004)
 LG 2, 3 and 6 (Bidinger et al., 2007)
Flowering time
 LG 2, 3, 4 and 6 (Yadav et al., 2002; Yadav et al., 2004)
Stover yield
 LG 2 and 6 (Yadav et al., 2002; Yadav et al., 2004)
 LG 4 (Yadav et al., 2002)
 LG 5 and 7 (Yadav et al., 2004)
Panicle grain number
 LG 1 and 6 (Yadav et al., 2002)
Panicle number
 LG 6 (Yadav et al., 2002)

Text above each single box informs about the stage where drought was imposed in the population.

Stomatal closure is mediated by accumulation of ABA; this acts as the first signal for drought response to prevents water loss and improve water use efficiency (Henson et al., 1981b). Kholova et al. (2010) reported that the ABA levels of the drought tolerant accession 863B-P3 had significantly increased levels of ABA at the vegetative stage. Transcriptomic analysis of pearl millet genotype Tifleaf 3 during the vegetative stage, after 48 hours of drought treatment, revealed significant expression of abscisic acid related genes such pyrabactin resistance (PYR)-like (PYL) gene family (Sun et al., 2020). PYL are receptor for ABA which interacts with protein phosphatases (PP2C) and SNF1-related protein kinase (SnRK2s) to modulate stomatal closure (Zhang et al., 2021). Pearl millet genotypes having high leaf water potential were found to accumulate a significant amount of ABA in water deficit conditions compared to ones having lower leaf water potential (Henson et al., 1981a).

2.1.2. Osmotic adjustment

Osmotic adjustment is a major drought tolerant mechanism in plants to maintain cell turgor, relative water content, cell expansion, photosynthesis and continued stomatal conductance (Jones and Turner, 1980; Henson et al., 1982). Plants accumulate organic and inorganic cellular components as osmolytes for lowering osmotic potential. In field conditions, pearl millet has been reported to adjust its osmotic potential successfully in response to water stress (Henson et al., 1982), in a manner similar to other drought tolerant C3 and C4 grasses, such as upland rice (Lum et al., 2014), wheat genotypes (Hong-Bo et al., 2006), and sorghum (Blum and Ebercon, 1976). The biochemical basis of osmotic adjustment has both inorganic as well as organic components, with the association of proline accumulation under water stress being associated with increased drought tolerance (Vijayalakshmi et al., 2012; Shivhare and Lata, 2017). The relative importance of different osmotic components may vary between genotype and life stage, with plants at the vegetative stage accumulating comparatively larger amounts of inorganic components such as K+ and NO3- compared to organic components such as proline, amino acids, and soluble sugars (Kusaka et al., 2005b).

Osmotic adjustment is particularly difficult when plants are stressed by high salinity. Six QTL-NILs associated with drought from accessions H 77/833-2, PRLT 2/89-33, and the mapping population formed from a cross between these, were subjected to a wide range of salinity and alkalinity stress at 24 days after sowing (Sharma et al., 2011). They reported that the drought susceptible parent H77/833-2 accumulated a significant concentration of toxic Na+ under stress treatments compared to drought tolerant NILs and the drought tolerant parent, PRLT 2/89-33. Their results suggest that the drought tolerant QTLs limit Na+ transportation, lower transpiration rates and thereby improve drought tolerance (Sharma et al., 2011). These QTL-NILs were then studied under drought stress at the flowering stage, and found that drought tolerant NILs performed better by differentially regulated Na+ accumulation in roots, and limiting translocation of Na+ to younger leaves, along with osmotic adjustment of leaf water potentials by high proline accumulation to restrict Na+ influx (Sharma et al., 2014).

2.1.3. Antioxidant defense and ROS scavenging ability

Reactive oxygen species (ROS) such as singlet oxygen (1O2), superoxide radical (O2-), hydroxyl radical (HO) and hydrogen peroxide (H2O2) are known to be produced during biotic and abiotic stresses (Dudhate et al., 2018). However, plants rapidly produce different forms of ROS and scavenge them simultaneously to balance between defense signaling mechanisms and ROS toxicity (Qi et al., 2017). The accumulation of ROS can cause oxidative stress toxicity which causes lipid peroxidation and protein denaturation, causing significant tissue damage (Anjum et al., 2017). To avoid oxidative damage in plants during stress, resistant plants produce antioxidants to detoxify oxidative stress either by scavenging ROS superoxide or by activating various detoxifying and defensive proteins (Mates, 2001).

Several studies on expression profiling of antioxidant genes have been conducted in pearl millet under drought stress, and drought tolerant genotypes of pearl millet treated with polyethylene glycol simulating drought stress at early and late seedling stage showed significant increases in genes encoding ascorbate peroxide (APX), glutamyl-tRNA reductase (GlutR) and superoxide dismutase (SOD) (Shivhare and Lata, 2017). The increased expression of genes encoding these three enzymes in a tolerant pearl millet genotype suggests their role in ROS scavenging during drought stress (Shivhare and Lata, 2019). Such conclusions were reached also in a transcriptomics analysis of pearl millet treated during the vegetative stage with drought that revealed the significant up-regulation of DEGs encoding ROS scavenging enzymes such as SOD, APX and glutathione peroxidase (GPX) (Sun et al., 2020). However, in another study that contrasted lines with and without a major terminal drought QTL, there was no major changes in enzyme activity except for an increase in APX5 (Kholová et al., 2011), leading the authors of that study to speculate that an increase in antioxidant enzymes might not play a direct role in terminal drought tolerance of pearl millet but rather help to minimize ROS toxicity in plants (Kholová et al., 2011).

2.2. Long term responses

2.2.1. Rooting patterns

The development of elongated deep roots enables plants to take up more water from deeper soil horizons to maintain high leaf water potential in drought conditions, while not altering the physiological and biochemical status of the plant (Ekanayake et al., 1985; Zegada-Lizarazu and Iijima, 2005). The embryonic root system in pearl millet consists of the primary root, whose maximum vertical growth occurs during the first week after germination. During this early period, the primary root exhibits rapid elongation (9.1 cm per day), faster than other crops such as maize and wheat (2.7 cm per day) (Passot et al., 2016), allowing it to rapidly seek out moister subsurface soil. After approximately a week, lateral roots start to initiate on the primary root, and adventitious crown roots emerge from the base of the shoot. Primary roots are characterized by a large metaxylem vessel, whereas crown roots are thicker with a significantly larger stele that contains more than one metaxylem. The rate of elongation of the primary root and the density of lateral roots along the primary root varies with genotype (Passot et al., 2016), suggesting potential for breeding for elongated root systems during seedling establishment. Lateral root types differ between genotypes and may offer a further opportunity for breeding for dense root systems capable of efficiently using available ground water (Passot et al., 2016).

Under drought conditions, pearl millet exhibits both elongated and dense root growth systems, and studies have shown that the capacity for water uptake by pearl millet from wet subsoil layers through an increase in lateral root density increased when the drought treatment was imposed on the topsoil (Zegada-Lizarazu and Iijima, 2005). In comparison with other species of millet, drought imposed on the topsoil layer increased water uptake and resulted in larger leaf area and higher shoot biomass in drought resistant genotypes of pearl millet (Zegada-Lizarazu and Iijima, 2005). The deep roots of pearl millet were also found to be able to penetrate compacted soil layers in drought-stressed conditions. Within pearl millet, those genotypes which had lower osmotic adjustment to drought stress were reported to have longer total root lengths (Kusaka et al., 2005a), presumably as a result of the search to find water. Root architecture and plasticity play an important role in crop growth in drought-prone environments, yet there has been relatively little study on root development due to difficulty in phenotyping this trait. However, the development of models for estimating root length density in pearl millet and other crops such as maize will be important in advancing our knowledge of this vital trait (Das et al., 2015; Faye et al., 2019; Shao et al., 2021).

2.2.2. Leaf adaptations

Under drought stress, pearl millet will allow its leaves to fold and roll, or even wither, in order to decrease leaf canopy area and reduce transpiration (Redmann, 1985; Kadioglu and Terzi, 2007). Leaf withering is especially apparent during drought stress at the grain-filling stage (Do et al., 1996). A pearl millet accession known for its drought resistance (IP8210) exhibited leaf folding due to a drought imposed at 21 days after gemination, yet recovered after re-watering at 12 days after drought initiation (Kusaka et al., 2005a). QTL studies have identified a QTL on linkage group 2 that is associated with leaf rolling during drought study, and this QTL colocalizes with QTL that have been identified for drought resistance from previous studies (Yadav et al., 2002; Yadav et al., 2004; Bidinger et al., 2007; Kholová et al., 2012; Aparna et al., 2015; Debieu et al., 2018) ( Tables 1 , S1 ).

Studies exploring stomatal density differences among pearl millet lines have reported variability in stomatal frequencies among genotypes (Teowolde et al., 1986). However, when differences in stomatal density were investigated among near isogenic lines, either with or without introgressed terminal drought QTL, along with the tolerant and susceptible parental lines, no differences were found (Kholova et al., 2010). Such results may be specific to the genotypes examined, but it suggests that more investigation into the role of stomatal density in drought response is warranted.

Another drought resistance mechanism is provided by the presence of a waxy cuticle (Bi et al., 2017), and, among the predicted 38,579 genes in the pearl millet genome assembly, there is a huge enrichment of genes found involved in cutin, flavonoid, suberin and wax biosynthesis (Varshney et al., 2017). Similarly, there is an expanded family of ABA transporters genes, which are involved in the transport of secondary metabolites associated with some cuticle components (Debieu et al., 2017). In addition, significant SNPs associated with aerial biomass was found to be near predicted gene Pgl_GLEAN_1003415; a putative 3-ketoacyl-CoA synthase (Debieu et al., 2018), that is known to be an essential condensing step in wax and suberin biosynthesis (Gable et al., 2004; Liu et al., 2014; Punnuri et al., 2017). While the effect of cuticle thickness and composition on the drought resistance in pearl millet has not been studied, it has been reported that pearl millet is less prone to nanoparticle toxicity at germination and rooting stage because of its thicker cuticle (Jain et al., 2017). In addition, the leaf surfaces of pearl millet accessions resistant to downy mildew were found to have significantly thicker cuticle and an increase in wax content (Chalam, 1996). Further work needs to be done to establish the role of cuticle thickness and composition on water loss, both before and after stomatal closure.

2.2.3. Asynchronous tiller development

Plasticity in tiller development is a characteristic of both pearl millet and its wild progenitors (Vadez et al., 2012), with primary tillers developing in the axils of leaves of the main culm and secondary tillers from buds in the axils of leaves on the primary tillers. These tillers transition to flowering at different times, depending on their age. This is called asynchronous tillering and can allow plants to recover from drought by developing tillers that flower after the dry spell has ended (Craufurd and Bidinger, 1988). A mid-season drought that terminates at or prior to flowering causes a significant increase in tiller development, which later can fully compensate for grain number and yield losses in the main culm inflorescence (Mahalakshmi et al., 1987). However, drought loss caused during the grain filling period of pearl millet with terminal drought stress cannot be effectively compensated by this trait (Mahalakshmi et al., 1987), possibly because those tillers initiated and commencing growth under drought stress are unlikely to be productive (Mahalakshmi et al., 1988). The genetic control of tiller number in pearl millet has only been scantily studied, concentrating on the ortholog of the transcriptional regulator, Teosinte Branched 1 (TB1) and showing that it could have been involved in domestication (Remigereau et al., 2011). There are also QTL studies for variation in panicle number, which directly measures productive tillers that produce an inflorescence ( Table 1 ) (Yadav et al., 2002). QTL analyses have been performed for stover and biomass yield which are related to both tiller number and growth vigor (Yadav et al., 2019). More research should be focused on the asynchronous tiller development of pearl millet as these tillers have the potential to influence yield and allow the plant to recover from the effects of drought. In addition, further work on the timing of initiation and fate of tillers in response to environmental stimuli is likely to present novel targets for selection, in addition to TB1.

2.2.4. Flowering plasticity

Early flowering is an important drought escape mechanism in plants, and in wheat, early flowering after a relatively short vegetative period is a response for impending conditions of terminal stress (Shavrukov et al., 2017). Pearl millet is a short-day plant, but large genotypic differences exist in the photoperiodic requirement for flowering among pearl millet varieties depending upon the zone of latitude that they are adapted to. Almost 54.4% of total cultivated pearl millet germplasms have been found to flower irrespective of the day length, although most are facultatively photoperiod sensitive, showing a delay in flowering time with increasing daylength (Rai et al., 1999). Germplasms originating from equatorial Africa are usually strictly photoperiod sensitive, needing comparatively short days to flower. Landraces with early flowering (33–40 days) are predominantly found in Pakistan, Ghana, Togo, and India; with very late flowering (121–159 days) in Sierra Leone and the Central African Republic (Upadhyaya et al., 2007). Pearl millet grown under long day length together with midseason water stress was found to delay its flowering time, but did not cause a significant effect on grain yield (Mahalakshmi et al., 1987). They suggested that later floral initiation is a drought escape mechanism adapted by pearl millet in early mid-season droughts, just as early floral initiation is adaptive for late-season drought. Varieties are adapted to time flowering close to the end of the rainy season, ensuring completion of maturation with remaining soil moisture (Vadez et al., 2012). However, climate change involving changes in rainfall patterns may mean that formerly adapted landraces no longer flower in sync with local conditions. QTL associated with change in flowering time under drought stress have been found on LG2, colocalized with a major drought tolerant QTL ( Tables 1 , S1 ). Co-localized genes included transcription factors belonging to known flowering time gene families, including zinc finger CCCH type and MADS-box gene families (Sehgal et al., 2012).

3. Grain yield under drought stress

Many genetic analyses have targeted variation in grain yield in pearl millet, which is a combination of number of productive tillers, size of the inflorescence, fertilization success, and effectiveness of seed development and maturation. The effect of drought on yield can affect any or all of these traits, but most trials have focused on only the overall effect on grain yield variation of these traits under drought conditions. We have summarized the results of all the QTL studies conducted in pearl millet till date in Tables 1 , S1 . The first QTL associated with yield and drought tolerance traits in pearl millet under drought conditions were identified in a hybrid mapping population created from the parental lines H 77/833-2 and PRLT 2/89-33 that differed in response to drought (Yadav et al., 2002). A genetic map of 50 markers, comprising both restriction fragment length polymorphism (RFLP) and microsatellite (SSR) markers, was used in the analysis, and QTLs were identified for terminal drought tolerance imposed when 50% of the population had commenced flowering. Such a treatment targets the grain-filling stage of seed maturation. Drought tolerance index for superior grain yield was mapped to genomic regions on linkage 1 and 2, with changes seen in increased panicle number and harvest index (ratio of grain yield to vegetative biomass) ( Tables 1 , S1 ). In another study, hybrid genotypes were subjected to moderate to severe terminal drought stress environments, where there was a consistent grain yield advantage for hybrids carrying alleles from drought tolerant genotypes in both drought and well-watered environments (Serraj et al., 2005). Along with this, a fine mapping approach has been taken for identifying genes under validated drought-QTL on linkage group 2 where various expressed sequence tag based markers have been identified (Sehgal et al., 2012). Similarly, fine mapping of various traits associated with canopy development, water use, biomass production and crop production under drought stress have been done within these region (Tharanya et al., 2018). Yadav et al. (2004) using the same parents but a wider range of moisture environments than they had previously used (Yadav et al., 2002), found that linkage group 2 had a significantly higher grain yield effect in all moisture regimes, and related this to adaptation to varying moisture environments during the grain filling stage. In addition to finding QTL on linkage group 2, two additional QTLs (LG3 and LG4) were identified as the primary candidates for marker assisted selection to improve grain yield across different moisture conditions of drought stress (Bidinger et al., 2007).

4. Insight into pearl millet drought tolerant mechanisms using transcriptomics

The recent availability of the pearl millet draft genome has accelerated the transcriptomic study of drought stress tolerance (Varshney et al., 2017). Five papers have reported transcriptomics study on drought stress in pearl millet (Choudhary and Padaria, 2015; Dudhate et al., 2018; Jaiswal et al., 2018; Shivhare et al., 2020a; Shivhare et al., 2020b). The earliest transcriptomic studies exploring the genes responsible for drought tolerance were done using the suppressive subtraction hybridization technique on seedlings exposed to various stresses, including salt, drying, and cold (Mishra et al., 2007), and 30% polyethylene glycol 600 (Choudhary and Padaria, 2015). Many of the differentially expressed genes (DEGs) were shared between the two studies and includes genes that regulate the expression of genes in response to stresses, such as transcription factors, and those that protect cellular structures and prevent denaturation of proteins and enzymes, such as late embryogenesis abundant (LEA) genes. Similarly, genes like heat shock protein (HSP), proteases, transporters, including aquaporins, detoxification genes to deal with the enhanced production of reactive oxygen species under stress conditions, and genes involved in enhanced proline production were also found in both studies.

Recent studies on gene expression dynamics under drought stress have primarily been accomplished by RNA-seq analyses on plants at both the vegetative and reproductive stages. At vegetative stages, roots showed more differentially expressed genes than leaves, and both tissues showed DEGs associated with abscisic acid and proline accumulation, as well as upregulation of HSP dehydrins, and LEA genes (Jaiswal et al., 2018). A similar study by Dudhate et al. (2018), compared drought susceptible and tolerant pearl millet genotypes and found that gene expression was much more affected in the drought tolerant line (~four times more upregulated DEGs and ~ten times more down-regulated DEGs) than in the sensitive line. Shivhare et al. (2020a) also examined response to terminal drought stress in a drought tolerant and a drought sensitive line at the reproductive stage, and most of the DEGs from tolerant genotypes were reported to be associated with secondary metabolite pathways such as mevalonate, shikimate, alkaloids, phenols, flavonoids, lignin, and wax biosynthesis, and stress associated phytohormones such as ABA, ethylene, gibberellic acid, jasmonic acid and salicylic acid. Multiple DEGs were associated with Photosystem I and II with upregulation in the drought tolerant genotype, suggesting that electron transport in PS I and PS II might be affected by drought stress in tolerant genotypes. Shivhare et al. (2020a) also examined drought stress in a drought tolerant line at vegetative (25 days after sowing) and reproductive stage (40 days after sowing) and found higher secondary metabolite production at reproductive versus vegetative stages, suggesting that pearl millet invests more resources into secondary metabolite production at flowering time to protect the most vulnerable part of the plant.

These five studies provide extensive transcriptomic evidence to support the genetic and physiological basis of drought tolerance in pearl millets, yet the variety of accessions, methods, and aims make it difficult to draw comparisons between them. We therefore decided to conduct a combined analysis of three of these studies (Jaiswal et al., 2018; Shivhare et al., 2020a; Shivhare et al., 2020b), that had used comparable, next-generation sequencing-based techniques, and with their sampling strategies covering both vegetative and reproductive stages ( Table 2 ). One of these studies compares a drought tolerant versus a drought sensitive genotype under drought stress (Shivhare et al., 2020a) while the other three compare a tolerant genotype with or without drought stress. We also realized that gene annotation in the current pearl millet genome assembly draft is still relatively limited and insufficient for our purpose, so, as a compromise, we converted pearl millet genes to their Arabidopsis homologs using blastp and took advantage of the extensive available Arabidopsis annotation resources. This strategy allowed us to interrogate gene expression differences across studies, even though the annotation may not be completely specific. Our methodology, in brief, was to extract differential expressed genes from the three pearl millet datasets and BLAST them against Arabidopsis protein sequences (TAIR10) using blastp (with e-value < 10-5). Common shared genes were then selected and visualized by Venn diagrams (https://bioinformatics.psb.ugent.be/webtools/Venn/) to ascertain the intersection of datasets, and a Gene Ontology (GO) enrichment analysis was conducted by agriGO (http://systemsbiology.cpolar.cn/agriGOv2/#:~:text=for%20Agricultural%20Community-,AgriGO%20v2.,the%20realm%20of%20ontology%20analyses, Du et al. 2010) and visualized by REVIGO http://revigo.irb.hr/, (Supek et al., 2011). The intersection of the DEG lists from the datasets comparing well-watered and drought stress treatment effects on a tolerant genotype identified 97 shared genes ( Figure 2A ) whereas the comparison of all datasets identified 94 shared genes between all stages ( Figure 2B ; Table S2 ). REVIGO-visualized GO enrichment analysis of the 94 shared genes displayed a discrete cluster associated with abiotic stress separated from the other genes ( Figure 3 ; Table S2 ). Among these genes, 25 genes closely associated to drought were studied in detail for their role and functions ( Table 3 ).

Table 2.

Summary of published transcriptomics data used in our study with detailed information on methodology and data sets.

Plant material Growth stage at which drought stress was applied and part of tissue collected Transcriptomics analysis method Threshold and level of fold change considered for DEG Blast e-value References
Drought tolerant pearl millet J-2454 29 Days after sowing (leaf tissues but non-specific part mentioned) Trinity platform (de novo assembly) FDR< 0.05, 2.0 10-3 Jaiswal et al., 2018
PLRT2/89-33 (tolerant) and H77/833-2 (sensitive) 40 Days after sowing (flag leaf) Trinity platform (de novo assembly) FDR< 0.05, 2.0 10-5 Shivhare et al., 2020b
PLRT2/89-33 (tolerant) 25 Days (upper most leaf) and 40 DAS after sowing (flag leaf) Assembly using reference genome FDR< 0.05, 2.0 10-5 Shivhare et al., 2020a

Figure 2.

Figure 2

Venn diagram showing shared differentially expressed genes across four published transcriptomic datasets. The datasets differed in the conditions examined: Shivhare A at 40 DAS (Shivhare et al., 2020b) compares a drought tolerant genotype with a drought sensitive genotype under drought stress. The other three datasets [Jaiswal vegetative (Jaiswal et al., 2018) and Shivhare B vegetative and reproductive (Shivhare et al., 2020a)] compare drought tolerant genotypes under well-watered versus drought stressed conditions.

Figure 3.

Figure 3

Biological process related gene ontology (GO) enrichment analysis of the 94 genes common to all studies that were compared, presented in a multidimensional scaling-based visualization from REVIGO. Out of 28 main GO terms, the GO terms with semantic similarities (genes having similar ontology are compared based on degree of relatedness by the similarity in meaning of their annotations) have clustered together. Clusters are represented by most significant GO term found by REVIGO.

Table 3.

Detailed functions of shared genes from transcriptomics data. The function of genes is from original papers not just from TAIR database.

Gene ID Pearl millet ID and expression TAIR Gene name Functions based on reference reports References
AT1G53540 Pgl_GLEAN_10029349/
upregulate
Heat shock
protein (HSP)
It functions as molecular chaperones of newly synthesized proteins, preventing their accumulation over time during thermal stress to maintain them in a state competent for ATP dependent as well as independent refolding Wu et al., 2019
AT5G25610 Pgl_GLEAN_10010984/
upregulate
Responsive to
dehydration 22 (RD22)
RD genes are mediated by abscisic acid (ABA), is known to be induced under salt stress and drought stress in Arabidopsis. Yamaguchi-Shinozaki and Shinozaki, 1993
AT1G32080 Pgl_GLEAN_10021397/
upregulate
Plastidal glycolate
/glycerate translocator1 (PLGG1)
PLGG1 deficient plants were simultaneously affected ABA responses, which includes ABA-mediated stomatal movement and stress tolerance. Dong et al., 2018
AT5G57560 Pgl_GLEAN_10038433/
upregulate
Calmodulin and
calmodulin related
genes
The regulation of this calmodulin-related gene family in Arabidopsis suggests that calcium ions and calmodulin are involved in transduction of signals from the environment, enabling plants to sense and respond to environmental changes. Braam and Davis, 1990
AT3G04720 Pgl_GLEAN_10029185/
upregulate
Pathogenesis
related genes (PR-4)
In Arabidopsis, PR-4 gene which showed positive roles against necrotrophs and showed less expression following 10hr cold treatment. Mishina and Zeier, 2007
AT2G07050 Pgl_GLEAN_10026807/
upregulate
Cycloartenol
synthase 1 (CAS1).
The CAS1 mutants Arabidopsis showed abnormal growth of leaves and arrest of shoot and root meristems which is probably the consequence of sterols depletion. Sterols play a prominent role in abiotic stress. Babiychuk et al., 2008
AT3G12500 Pgl_GLEAN_10032140/
upregulate
Pathogenesis
related genes 3 (PR-3) Chitinase
PR-3 are basic endochitinase and are involved in jamsonic/ethylene signaling pathway. The PR-3 genes were slightly upregulated in Arabidopsis during wounding. Chandrashekar et al., 2018
AT5G24530 Pgl_GLEAN_10000809/
upregulate
Downy mildew resistant 6 (DMR6) DMR6 encodes salicylic acid 5-hydroxylase that fine tunes salicylic acid homeostasis. SA plays essential roles in biotic and abiotic responses, plant development and leaf senescence. Zhang et al., 2017
AT4G02380 Pgl_GLEAN_10028629/
upregulate
Late Embryogenesis
Abundant 5 (LEA5)
Increases the tolerance to oxidative stress and showed increased root growth and shoot biomass in H2O2 stressed condition. Karpinska et al., 2022
AT1G79460 Pgl_GLEAN_10012752/
upregulate
Ent-kaurene
synthase (KS1)
KS1 encodes enzymes of mevalonic acid biosysnthesis pathway. Many isoprenoids in the MVA pathway play important roles as mediators of interactions between plants and their environment, such as defense responses against biotic and abiotic stresses. Caelles et al., 1989; Cho et al., 2022
AT3G46970 Pgl_GLEAN_10032453/upregulate Alpha-glucan
phosphorylase 2 (PHS2)
PHS2 mutant with knock out of these gene develop leaf lesions when placed in very low light and leaves senescence occurs very rapidly and important for prolonged development when carbohydrate levels are unbalanced. Schopper et al., 2015
AT2G03200 Pgl_GLEAN_10020803/upregulate Atypical aspartic
Protease in roots 1
(ASPR1)
ASPR1 overexpression mutants display shorter primary roots and a pronounced reduction in the number of lateral roots in Arabidopsis. ASPR1 emerges as the first AP with an anticipated role in the regulation of root development in Arabidopsis. Soares et al., 2019
AT1G15910 Pgl_GLEAN_10030568/upregulate Factor of DNA
methylation 1 (FDM1)
Belongs to a subgroup of SGS3-like proteins that act redundantly in RNA-directed DNA methylation. DNA methylation is associated with transcriptional silencing. Xie et al., 2012
AT1G05805 Pgl_GLEAN_10008692/upregulate ABA-responsive
kinase substrate 2
(AKS2)
AKS2 transcribed genes encoding potassium channels that promoted stomatal opening. AKS-mediated transcription stimulates stomatal opening, a process that is antagonized by ABA-induced phosphorylation of AKS transcription factors. Takahashi et al., 2013
AT3G57520 Pgl_GLEAN_10008593/downregulate Seed imbibition
2 (SIP2)
SIP2 encodes a raffinose-specific alpha-galactosidase that catalyzes the breakdown of raffinose into alpha-galatose and sucrose. This enzyme may function in unloading raffinose from the phloem as part of sink metabolism. Peters et al., 2010
AT2G39770 Pgl_GLEAN_10005886/
downregulate
Cytokinesis
defective 1 (CYT1)
Encodes a GDP-mannose pyrophosphorylase/mannose-1-pyrophosphatase. This enzyme provides GDP-mannose, which is used for cell wall carbohydrate biosynthesis and protein glycosylation as well as for ascorbate biosynthesis. Mutations in this gene confer hypersensitivity to NH4+. Barth et al., 2010
AT4G11650 Pgl_GLEAN_10033680/
downregulate
Osmotin
34 (OSM34)
Osmotin-like protein; functions as a positive regulator in the generation of ABA responses and is under post-translational control Park and Kim, 2021
AT5G24090 Pgl_GLEAN_10022544/
downregulate
Chitinase A (CHIA) Chitinase A expressed exclusively under environmental stress conditions. Shown be a plant lysozyme involved in plant immunity. Żur et al., 2013
AT5G20410 Pgl_GLEAN_10031058/
downregulate
Monogalactosyldiacyl
Glycerol synthase 2
(MGD2)
In Arabidopsis, MGD2 mutants under aluminum stress showed severe root inhibition, plasma membrane integrity damage and lipid peroxidation. Liu et al., 2020
AT3G45140 Pgl_GLEAN_10020461/
downregulate
Lipoxygenase 2 (LOX2) In Arabidopsis, LOX2 is involved in the generation of oxylipins during senescence induced by both endogenous as well as exogeneous factors such as pathogen attack, drought, salt stress etc. It also impacts the accumulation of JA. Seltmann et al., 2010
AT5G45820 Pgl_GLEAN_10036265/
downregulate
CBL-interacting
protein kinase 20 (CIPK20)
CBL mutant become hypersensitive to ABA treatment in Arabidopsis. The CBL9 mutant plants showed enhanced expression of genes involved in ABA signaling, such as ABA-INSENSITIVE 4 and 5. CBL-CIPK module modulates the ABA repressor in Arabidopsis during seed development. Sanyal et al., 2017
AT2G39050 Pgl_GLEAN_10007409/
downregulate
ArathEULS3 (EULS3) Transcript levels for ArathEULS3 increased after exposure to ABA and osmotic treatments. ArathEULS3 in Arabidopsis conferred ABA hypersensitivity and enhanced drought tolerance Li et al., 2014
AT5G10230 Pgl_GLEAN_10012413/
downregulate
Annexin 7 (ANN7) It was found to response to cold, heat, salt stress and water deprivation, played important role in secretive pathways which involves ATPase and peroxidase activity Clark et al., 2001
AT4G21510 Pgl_GLEAN_10015794/
downregulate
F-box stress
Induced 2
F-box overexpression induced cell division in stomata formation in Arabidopsis producing large clusters in mutants which had defects in stomata. Moreover, it causes the increase in stomatal density. Li et al., 2021
AT1G65680 Pgl_GLEAN_10009578/
downregulate
Expansin B2 (EXPB2) Arabidopsis EXPB2 mutant showed reduced cell wall-bound peroxidase activity and decreased oxidative stress tolerance. EXPB2 are cell wall proteins that induces cell wall loosening. Han et al., 2015

The cluster associated with temperature stimuli included GO terms such as defense response, response to chemical, response to abiotic stimulus, response to biotic stimulus, response to organic substance and cellular response to stimulus ( Figure 3 ; Table S2 ). We found several categories of encoding genes were assigned to these GO terms. HSP17.6C, a member of the heat shock protein (HSPs) family was found to be upregulated in the tolerant genotype under drought stress. In Arabidopsis, HSP17.6 expression was found to be proportional to the severity of heat stress, leading to six-fold increase during abrupt heat stress (Wu et al., 2019). It functions as a molecular chaperone for newly synthesized proteins, preventing their accumulation over time during thermal stress, so as to maintain them in a state competent for ATP dependent as well as independent refolding (Queitsch et al., 2000; Al-Whaibi, 2011; Yamaguchi et al., 2021). Heat shock proteins are also known to be expressed under a wide range of stresses such as osmotic, salinity, oxidative, desiccation, and heavy metal stresses (Ghatak et al., 2016). Another shared gene, Responsive to dehydration 22 (RD22) was found to be upregulated in the tolerant genotype under drought stress. RD genes are mediated by abscisic acid (ABA), and are known to be induced under salt stress and drought stress in Arabidopsis (Yamaguchi-Shinozaki and Shinozaki, 1993), especially early in the stress response, as the RD22 mRNA begins to appear within 2hr of the start of dehydration and is strongly expressed by 5hr in Arabidopsis seeds (Yamaguchi-Shinozaki and Shinozaki, 1993).

The important stress gene, LEA, is hydrophilic and improves the plant’s capacity to retain water during drought (Banerjee and Roychoudhury, 2016). This gene was found to be upregulated in the tolerant pearl millet genotype under drought stress. Arabidopsis plants that overexpressed AtLEA5 showed tolerance to oxidative stress and overexpression of AtLEA5 in barley lead to increased seed yield (Karpinska et al., 2022). LEA5 regulates organellar translation, to enhance respiration relative to photosynthesis in response to stress (Karpinska et al., 2022). Introduction of LEA protein genes into spring wheat also significantly increased water use efficiency compared to non-transgenic lines under water deficit conditions (Sivamani et al., 2000). Another shared gene is the calcium binding protein, annexin, which in Arabidopsis was found to respond to cold, heat, salt stress and water deprivation, and played an important role in secretive pathways that involved ATPase and peroxidase activity (Clark et al., 2001). In Arabidopsis, loss of function mutants of Annexin showed greater sensitivity to drought stress while gain of function mutants caused an increase in resistance (Konopka-Postupolska et al., 2009). The annexin family has been found to decrease ROS production, hence reducing oxidative stress and preventing cell death (Clark et al., 2001). In rice, the annexin gene family has been shown to be involved in various abiotic stresses including heat, cold, drought and salinity (Jami et al., 2012).

The other GO annotation groups include genes related to carbohydrate metabolism, terpenoid biosynthesis, secondary metabolic process, immune system process and response to stimulus ( Figure 3 ; Table 3 ). The carbohydrate metabolism includes genes related to GO terms such as proteolysis, lipid metabolism, primary metabolism, and carboxylic metabolism. Carbohydrate related biosynthesis genes like monogalactosyldiacylglycerol synthase 2 (MGD2) were downregulated in the tolerant pearl millet. In Arabidopsis, MGD2 mutants under aluminum stress showed severe root inhibition, plasma membrane integrity damage and lipid peroxidation (Liu et al., 2020). The genes relating to the terpenoid synthesis family, cycloartenol synthase 1 (CAS1) were upregulated in the tolerant pearl millet genotypes during drought stress. CAS1 initiates sterol biosynthesis by converting 1,3-oxidosquaelene to cycloartenol (Babiychuk et al., 2008). The cas1 mutants of Arabidopsis showed abnormal growth of leaves and arrest of shoot and root meristems, which is probably the consequence of sterol depletion (Babiychuk et al., 2008). Sterols are integral components of the membrane lipid bilayer in plants where they regulate membrane fluidity, which influence its structure, properties and functions. Plant membranes are affected by various environmental conditions and sterols play a prominent role in plant response to abiotic stress (Rogowska and Szakiel, 2020).

There were several clusters enriched in GO terms related to secondary metabolites and phytohormone pathways, including plastidal glycolate/glycerate translocator 1 (PLGG1) whose response to abscisic acid is upregulated in the tolerant pearl millet genotype under drought stress. In Arabidopsis, a mutant with a knockout of PLGG1 showed growth defects and reduction in photosynthetic rates (South et al., 2017). Similarly, PLGG1 deficient Arabidopsis showed enhanced sensitivity to ABA-mediated stomatal movement and drought tolerance (Dong et al., 2018). In addition, PLGG1 regulates lateral root growth under abscisic acid treatment (Dong et al., 2018) Abscisic acid is a mainly produced in plant roots under drought stress as it progressively increases hydraulic connectivity and stimulates root elongation during water-limiting conditions (Daszkowska-Golec, 2016). The plants with elongated roots will regulate water use efficiency to delay or avoid osmotic stress (Dong et al., 2018). Another phytohormone gene, CBL interacting protein kinase (CIPK20), is downregulated in tolerant pearl millet genotypes under drought stress. In Arabidopsis, CBL mutants become hypersensitive to ABA treatments, with CBL9 mutant plants showing enhanced expression of genes involved in ABA signaling such as ABA-insensitive 4 and 5 (Pandey et al., 2004). ABA is a key player under drought stress and its broad role is summarized in Figure 4 . In addition to ABA-related genes, genes related to biotic stress, pathogenesis-related 3 (PR-3) and PR-4, were upregulated in tolerant pearl millet genotypes during drought. In Arabidopsis, the PR-4 gene has a role in protection from necrotrophs and cold treatments (Wu et al., 2019). Similarly, PR-3 which is involved in the jasmonic/ethylene signaling pathway, is upregulated during wounding (Chandrashekar et al., 2018). Pathogenesis-related genes are regulated by SA production, which will ultimately induce systemic acquired resistance in plants (Kesarwani et al., 2007). However, the specific links between these defense genes and abiotic stress still needs further study.

Figure 4.

Figure 4

Schematic diagram showing the role of ABA signaling after drought stress activation. The dashed arrow represents the multiple steps are involved and green box represents the enzyme/gene for that process. PYL, pyrabactin resistance (PYR)-like; PP2C, protein phosphatases; SnRK2s, SNF1-related protein kinase; PLGG1, plastidal glycolate/glycerate translocator 1; RD22, Responsive to dehydration 22.

The important genes for recurring drought known as memory genes are important for drought as they are repetitive, and memory genes enables plants to respond to the subsequent drought by altering the expression patterns of the responsive genes. These memory genes respond more promptly and strongly to the repeated drought stress (Ding et al., 2012; Kim et al., 2020). The research on Arabidopsis plants showed that plants trained with subsequent dehydration events wilted much slower than the non-trained plants (Ding et al., 2012). Similarly, priming (pre-exposure to mild drought) in wheat before anthesis improved tolerance to drought stress after anthesis and increased the grain yield in comparison to non-primed plants under drought stress (Wang et al., 2014). These primed or trained plants have memory marks like histone modifications through methylation, chromatin remodeling, microRNAs, accumulations of proteins, phytohormones, and growth regulators in inactive form to efficiently modulate gene expression in subsequent stress (Jacques et al., 2021). As all the transcriptomics studies used in our combined analysis were devoid of recurring drought experiments so far or were destructive studies even if the studies were done at two different time points, it was not feasible to pinpoint the memory genes among the common gene. However, some overlapped genes were associated with memory genes like functions. A gene named Factor of DNA methylation 1 (FDM1) belonging to SG33-like protein family which act redundantly in RNA directed DNA methylation was found to be upregulated in tolerant pearl millet genotype in drought stress (Xie et al., 2012). Mainly it is known that DNA methylation plays key roles in maintaining genome stability, modulation of gene expression and transcriptional silencing (Moazed, 2009) but recent findings suggest that DNA methylation might contribute drought memory formation in rice (Kou et al., 2022) as most of the memory transcripts expressed during stress were significantly associated with DNA methylation changes (Li et al., 2019). However, the drought memory genes seemed to be species specific and there has not been studies done in pearl millet to identify drought memory transcripts. Hence, future experiments on identifying the memory genes in pearl millet will be of great interest to breeders as it will help improve the plants to adapt to fluctuating environments for longer term.

5. Conclusions and perspectives

Understanding the morphological, physiological, and genetic basis of the drought resistance mechanisms in pearl millet is crucial for helping farmers in marginalized areas, as they rely heavily on pearl millet for subsistence farming. These insights into the drought resistance mechanisms of pearl millet may well be useful for improving other cereal crops that also face increased drought stress caused by shifting climates. In this review we have partitioned drought resistance strategies in pearl millet into shorter- and longer-term responses. Short term responses such as stomatal conductance and osmotic adjustment are major strategies used by pearl millet to tolerate drought. The long-term drought response of deep rooting and asynchronous tiller production are traits of pearl millet that have created a crop that has enhanced developmental plasticity to adapt to changing environmental conditions. However, the underground parts have received less attention in comparison to aboveground parts due to difficulty in phenotyping. It is crucial to understand the genetics behind the root hydraulic traits and architecture of pearl millet, which can be used as a model for drought root response. Asynchronous tiller development, a trait of pearl millet which is used as both drought escape and as a recovery trait during vegetative intermittent drought stress, allows plants to develop tillers and flower at different times and help to fully compensate mid-season droughts. Tillering and flowering plasticity are important traits that can be exploited for changing climates, however more integrative studies that link genetics, genomics, phenomics and physiology should be performed in these two traits.

The transcriptomics results support the drought resistance strategies of tolerant genotypes of pearl millet in both seedling and post vegetative stages. The 94 common genes which were shared between three datasets at vegetative and reproductive stage show a distinct cluster for stress related genes which need to be further studied to understand drought resistance. Further, to support these several DEGs of drought resistance, proteomics and metabolomics study should be performed in pearl millet. The important challenge here will be to efficiently explore these -omics data sets and find the key functional genes and pathways related to drought resistance. In addition, designing experiment to identify the memory genes will be rewarding to all the plant breeders as it will help to improve the long-term cereal crop adaptation to this fluctuating environment.

In summary, pearl millet combines multiple strategies that makes it major drought tolerant cereal crop. This crop provides many avenues that can be explored to understand and be used to improve drought resistance in other cereal crops. Pearl millet has huge diversity which are adapted to diverse latitude and rainfall pattern, that provides an opportunity to explore these drought traits further. However, there are key questions that researchers and breeders need to consider, especially the targets of selection. A major desirable characteristic of pearl millet for farmers in the poorest conditions is the ability for tillers to take over some of the yield burden from the main culm, should intermittent water stress affect the main culm. Reducing tillering is a main objective for most breeding programs as it allows for larger yield from just a few stems, but this may not be desirable for a crop that promises flexibility in the face of climatic uncertainty. Understanding both near-term genetic consequences of water stress as well as the pathways that allow recovery should both be aims pursued by breeders. We suggest that future transcriptomic studies target tiller buds, inflorescences, and rooting tips, so that researchers can better understand the trade-offs at play in the response of this crop to drought. In addition, drought resistance in pearl millet should be evaluated with recent tools and in association with other major abiotic stresses, such as high temperature and salinity because drought stress occurs along with these stresses and crosstalk occurs between stresses at various levels.

Data availability statement

Publicly available datasets were analyzed in this study. This data can be found here: PRJNA385901 for Jaiswal et al., 2018, and list of DEGs in Supplementary Materials PRJNA574746 for Shivhare et al., 2020a, and list of DEGs in Supplementary Materials PRJNA607164 for Shivhare et al., 2020a, and list of DEGs in Supplementary Materials .

Author contributions

NS and AD conceived the idea of this review, NS and HH performed the transcriptomics analysis, KS, NS, and HH performed the GO analysis and researched the functions of individual genes, and all contributed to the writing and editing of the manuscript. All authors contributed to the article and approved the submitted version.

Acknowledgments

We acknowledge the Doust lab members for fruitful discussions on pearl millet biology and drought tolerance traits.

Funding Statement

Funding for this project was from NSF grants: IOS 1557640 and IOS-1938093.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpls.2023.1059574/full#supplementary-material

References

  1. Alexandratos N. (2009). World food and agriculture to 2030/50. In Highlights and views from MID-2009: Paper for the Expert Meeting on “How to Feed the World in 2050. (Rome: FAO; ). [Google Scholar]
  2. Al-Whaibi M. H. (2011). Plant heat-shock proteins: A mini review. J. King Saud University-Science 23, 139–150. doi: 10.1016/j.jksus.2010.06.022 [DOI] [Google Scholar]
  3. Anjum S. A., Ashraf U., Imran K., Tanveer M., Shahid M., Shakoor A., et al. (2017). Phyto-toxicity of chromium in maize: Oxidative damage, osmolyte accumulation, anti-oxidative defense and chromium uptake. Pedosphere 27, 262–273. doi: 10.1016/S1002-0160(17)60315-1 [DOI] [Google Scholar]
  4. Aparna K., Nepolean T., Srivastsava R., Kholová J., Rajaram V., Kumar S., et al. (2015). Quantitative trait loci associated with constitutive traits control water use in pearl millet [Pennisetum glaucum (L.) r. br.]. Plant Biol. 17, 1073–1084. doi: 10.1111/plb.12343 [DOI] [PubMed] [Google Scholar]
  5. Babiychuk E., Bouvier-Navé P., Compagnon V., Suzuki M., Muranaka T., Van Montagu M., et al. (2008). Allelic mutant series reveal distinct functions for arabidopsis cycloartenol synthase 1 in cell viability and plastid biogenesis. Proc. Natl. Acad. Sci. 105, 3163–3168. doi: 10.1073/pnas.0712190105 [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Banerjee A., Roychoudhury A. (2016). Group II late embryogenesis abundant (LEA) proteins: Structural and functional aspects in plant abiotic stress. Plant Growth Regul. 79, 1–17. doi: 10.1007/s10725-015-0113-3 [DOI] [Google Scholar]
  7. Barth C., Gouzd Z. A., Steele H. P., Imperio R. M. (2010). A mutation in GDP-mannose pyrophosphorylase causes conditional hypersensitivity to ammonium, resulting in arabidopsis root growth inhibition, altered ammonium metabolism, and hormone homeostasis. J. Exp. Bot. 61, 379–394. doi:  10.1093/jxb/erp310 [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Bidinger F., Mahalakshmi V., Rao G. D. P. (1987). Assessment of drought resistance in pearl millet (Pennisetum americanum (L.) leeke). II. estimation of genotype response to stress. Aust. J. Agric. Res. 38, 49–59. doi: 10.1071/AR9870049 [DOI] [Google Scholar]
  9. Bidinger F., Nepolean T., Hash C., Yadav R. S., Howarth C. J. (2007). Quantitative trait loci for grain yield in pearl millet under variable postflowering moisture conditions. Crop Sci. 47, 969–980. doi: 10.2135/cropsci2006.07.0465 [DOI] [Google Scholar]
  10. Bi H., Kovalchuk N., Langridge P., Tricker P. J., Lopato S., Borisjuk N. (2017). The impact of drought on wheat leaf cuticle properties. BMC Plant Biol. 17, 1–13. doi: 10.1186/s12870-017-1033-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Blum A., Ebercon A. (1976). Genotypic responses in sorghum to drought stress. III. free proline accumulation and drought resistance 1. Crop Sci. 16, 428–431. doi: 10.2135/cropsci1976.0011183X001600030030x [DOI] [Google Scholar]
  12. Braam J., Davis R. W. (1990). Rain-, wind-, and touch-induced expression of calmodulin and calmodulin-related genes in arabidopsis. Cell 60, 357–364. doi:  10.1016/0092-8674(90)90587-5 [DOI] [PubMed] [Google Scholar]
  13. Burgarella C., Cubry P., Kane N. A., Varshney R. K., Mariac C., Liu X., et al. (2018). A western Sahara centre of domestication inferred from pearl millet genomes. Nat. Ecol. Evol. 2, 1377–1380. doi: 10.1038/s41559-018-0643-y [DOI] [PubMed] [Google Scholar]
  14. Caelles C., Ferrer A., Balcells Hegardt L. F., Boronat A. (1989). Isolation and structural characterization of a cDNA encoding Arabidopsis thaliana 3-hydroxy-3-methylglutaryl coenzyme A reductase. Plant Mol. Biol. 13, 627–638. doi: 10.1007/BF00016018 [DOI] [PubMed] [Google Scholar]
  15. Chalam V. C. (1996). Studies on the mechanisms of resistance in pearl millet genotypes to downy mildew disease. [PhD dissertation]. (Andhra Pradesh, India: Andhra Pradesh Agricultural University; ). [Google Scholar]
  16. Chandrashekar N., Ali S., Grover A. (2018). Exploring expression patterns of PR-1, PR-2, PR-3, and PR-12 like genes in arabidopsis thaliana upon alternaria brassicae inoculation. 3 Biotech. 8, 1–10. doi: 10.1007/s13205-018-1259-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Cho S. H., Tóth K., Kim D., Phuc H., Chung-Ho L., Handakumbara P. P., et al. (2022). Activation of the plant mevalonate pathway by extracellular ATP. Nat. Commun. 13, 450. doi:  10.1038/s41467-022-28150-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Choudhary M., Padaria J. C. (2015). Transcriptional profiling in pearl millet (Pennisetum glaucum LR br.) for identification of differentially expressed drought responsive genes. Physiol. Mol. Biol. Plants 21, 187–196. doi: 10.1007/s12298-015-0287-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Choudhary M., Tripathi M., Gupta N., Tiwari S., Tripathi N., Parihar P., et al. (2021). Screening of pearl millet [Pennisetum glaucum [L] r br] germplasm lines against drought tolerance based on biochemical traits. Curr. J. Appl. Sci. Technology. 2021b 40, 1–12. doi: 10.9734/cjast/2021/v40i531303 [DOI] [Google Scholar]
  20. Clark G. B., Sessions A., Eastburn D. J., Roux S. J. (2001). Differential expression of members of the annexin multigene family in arabidopsis. Plant Physiol. 126, 1072–1084. doi: 10.1104/pp.126.3.1072 [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Council N. R. (2010). Advancing the science of climate change (Washington, DC: The National Academies Press; ). [Google Scholar]
  22. Craufurd P., Bidinger F. (1988). Effect of the duration of the vegetative phase on crop growth, development and yield in two contrasting pearl millet hybrids. J. Agric. Sci. 110, 71–79. doi: 10.1017/S0021859600079715 [DOI] [Google Scholar]
  23. Das A., Schneider H., Burridge J., Ascanio A. K. M., Wojciechowski T., Topp C. N., et al. (2015). Digital imaging of root traits (DIRT): A high-throughput computing and collaboration platform for field-based root phenomics. Plant Methods 11, 1–12. doi: 10.1186/s13007-015-0093-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Daszkowska-Golec A. (2016). “The role of abscisic acid in drought stress: How ABA helps plants to cope with drought stress,” in Drought stress tolerance in plants, (Cham: Springer; ) 2, 123–151. [Google Scholar]
  25. Debieu M., Kanfany G., Laplaze L. (2017). Pearl millet genome: Lessons from a tough crop. Trends Plant Sci. 22, 911–913. doi: 10.1016/j.tplants.2017.09.006 [DOI] [PubMed] [Google Scholar]
  26. Debieu M., Sine B., Passot S., Grondin A., Akata E., Gangashetty P., et al. (2018). Response to early drought stress and identification of QTLs controlling biomass production under drought in pearl millet. PloS One 13, e0201635. doi: 10.1371/journal.pone.0201635 [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Ding Y., Fromm M., Avramova Z. (2012). Multiple exposures to drought’train’transcriptional responses in arabidopsis. Nat. Commun. 3, 1–9. doi: 10.1038/ncomms1732 [DOI] [PubMed] [Google Scholar]
  28. Dong H., Bai L., Chang J., Song C.-P. (2018). Chloroplast protein PLGG1 is involved in abscisic acid-regulated lateral root development and stomatal movement in arabidopsis. Biochem. Biophys. Res. Commun. 495, 280–285. doi:  10.1016/j.bbrc.2017.10.113 [DOI] [PubMed] [Google Scholar]
  29. Doust A. N., Kellogg E. A., Devos K. M., Bennetzen J. L. (2009). Foxtail millet: A sequence-driven grass model system. Plant Physiol. 149, 137–141. doi: 10.1104/pp.108.129627 [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Do F., Winkel T., Cournac L., Louguet P. (1996). Impact of late-season drought on water relations in a sparse canopy of millet (Pennisetum glaucum (L.) r. br.). Field Crops Res. 48, 103–113. doi: 10.1016/S0378-4290(96)01030-1 [DOI] [Google Scholar]
  31. Du Z., Zhou X., Ling Y., Zhang Z., Su Z. (2010). agriGO: A GO analysis toolkit for the agricultural community. Nucleic Acids Res. 38, W64–W70. doi:  10.1093/nar/gkq310 [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Dudhate A., Shinde H., Tsugama D., Liu S., Takano T. (2018). Transcriptomic analysis reveals the differentially expressed genes and pathways involved in drought tolerance in pearl millet [Pennisetum glaucum (L.) r. br]. PloS One 13, e0195908. doi: 10.1371/journal.pone.0195908 [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Ekanayake I., O’toole J., Garrity D., Masajo T. (1985). Inheritance of root characters and their relations to drought resistance in rice 1. Crop Sci. 25, 927–933. doi: 10.2135/cropsci1985.0011183X002500060007x [DOI] [Google Scholar]
  34. Faye A., Sine B., Chopart J.-L., Grondin A., Lucas M., Diedhiou A. G., et al. (2019). Development of a model estimating root length density from root impacts on a soil profile in pearl millet (Pennisetum glaucum (L.) r. br). application to measure root system response to water stress in field conditions. PloS One 14, e0214182. doi: 10.1371/journal.pone.0214182 [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Gable K., Garton S., Napier J. A., Dunn T. M. (2004). Functional characterization of the arabidopsis thaliana orthologue of Tsc13p, the enoyl reductase of the yeast microsomal fatty acid elongating system. J. Exp. Bot. 55, 543–545. doi: 10.1093/jxb/erh061 [DOI] [PubMed] [Google Scholar]
  36. Ghatak A., Chaturvedi P., Nagler M., Roustan V., Lyon D., Bachmann G., et al. (2016). Comprehensive tissue-specific proteome analysis of drought stress responses in pennisetum glaucum (L.) r. Br.(Pearl millet). J. Proteomics 143, 122–135. doi: 10.1016/j.jprot.2016.02.032 [DOI] [PubMed] [Google Scholar]
  37. Han Y., Chen Y., Yin S., Zhang M., Wang W. (2015). Over-expression of TaEXPB23, a wheat expansin gene, improves oxidative stress tolerance in transgenic tobacco plants. J. Plant Physiol. 173, 62–71. doi:  10.1016/j.jplph.2014.09.007 [DOI] [PubMed] [Google Scholar]
  38. Harlan J. (1975). Crops and man, Madison, Wisconsin, American society of agronomy and crop science society of America (WI, USA; ). [Google Scholar]
  39. Henson I., Mahalakshmi V., Bidinger F., Alagarswamy G. (1981. a). Genotypic variation in pearl millet (Pennisetum americanum (L.) leeke), in the ability to accumulate abscisic acid in response to water stress. J. Exp. Bot. 32, 899–910. doi: 10.1093/jxb/32.5.899 [DOI] [Google Scholar]
  40. Henson I., Mahalakshmi V., Bidinger F., Alagarswamy G. (1981. b). Stomatal responses of pearl millet (Pennisetum americanum (L.) leeke) genotypes, in relation to abscisic acid and water stress. J. Exp. Bot. 32, 1211–1221. doi: 10.1093/jxb/32.6.1211 [DOI] [Google Scholar]
  41. Henson I., Mahalakshmi V., Bidinger F., Alagarswamy G. (1982). Osmotic adjustment to water stress in pearl millet (Pennisetum americanum [L.] leeke) under field conditions. Plant Cell Environ. 5, 147–154. doi: 10.1111/1365-3040.ep11571559 [DOI] [Google Scholar]
  42. Hong-Bo S., Xiao-Yan C., Li-Ye C., Xi-Ning Z., Gang W., Yong-Bing Y., et al. (2006). Investigation on the relationship of proline with wheat anti-drought under soil water deficits. Colloids Surfaces B: Biointerfaces 53, 113–119. doi: 10.1016/j.colsurfb.2006.08.008 [DOI] [PubMed] [Google Scholar]
  43. Jacques C., Salon C., Barnard R. L., Vernoud V., Prudent M. (2021). Drought stress memory at the plant cycle level: A review. Plants 10 (9), 1873. doi:  10.3390/plants10091873 [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Jain N., Bhargava A., Pareek V., Akhtar S., Panwar J. (2017). Does seed size and surface anatomy play role in combating phytotoxicity of nanoparticles? Ecotoxicology 26, 238–249. doi: 10.1007/s10646-017-1758-7 [DOI] [PubMed] [Google Scholar]
  45. Jaiswal S., Antala T. J., Mandavia M., Chopra M., Jasrotia R. S., Tomar R. S., et al. (2018). Transcriptomic signature of drought response in pearl millet (Pennisetum glaucum (L.) and development of web-genomic resources. Sci. Rep. 8, 1–16. doi: 10.1038/s41598-018-21560-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Jami S. K., Clark G. B., Ayele B. T., Roux S. J., Kirti P. (2012). Identification and characterization of annexin gene family in rice. Plant Cell Rep. 31, 813–825. doi: 10.1007/s00299-011-1201-0 [DOI] [PubMed] [Google Scholar]
  47. Jiao Y., Wang Y., Xue D., Wang J., Yan M., Liu G., et al. (2010). Regulation of OsSPL14 by OsmiR156 defines ideal plant architecture in rice. Nat. Genet. 42, 541–544. doi: 10.1038/ng.591 [DOI] [PubMed] [Google Scholar]
  48. Jones M. M., Turner N. (1980). Osmotic adjustment in expanding and fully expanded leaves of sunflower in response to water deficits. Funct. Plant Biol. 7, 181–192. doi: 10.1071/PP9800181 [DOI] [Google Scholar]
  49. Kadioglu A., Terzi R. (2007). A dehydration avoidance mechanism: Leaf rolling. Botanical Rev. 73, 290–302. doi: 10.1663/0006-8101(2007)73[290:ADAMLR]2.0.CO;2 [DOI] [Google Scholar]
  50. Karpinska B., Nurhayatirazak N., Shaw D., Plumb W., Van De Slijke E., Stephens J., et al. (2022). Late embryogenesis abundant (LEA) 5 regulates translation in mitochondria and chloroplasts to enhance growth and stress tolerance. Front. Plant Sci. 13, 1219. doi: 10.3389/fpls.2022.875799 [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Kesarwani M., Yoo J., Dong X. (2007). Genetic interactions of TGA transcription factors in the regulation of pathogenesis-related genes and disease resistance in arabidopsis. Plant Physiol. 144, 336–346. doi: 10.1104/pp.106.095299 [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Kholová J., Hash C. T., Kočová M., Vadez V. (2011). Does a terminal drought tolerance QTL contribute to differences in ROS scavenging enzymes and photosynthetic pigments in pearl millet exposed to drought? Environ. Exp. Bot. 71, 99–106. doi: 10.1016/j.envexpbot.2010.11.001 [DOI] [Google Scholar]
  53. Kholova J., Hash C., Kumar P. L., Yadav R. S., Kočová M., Vadez V. (2010). Terminal drought-tolerant pearl millet [Pennisetum glaucum (L.) r. br.] have high leaf ABA and limit transpiration at high vapour pressure deficit. J. Exp. Bot. 61, 1431–1440. doi: 10.1093/jxb/erq013 [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Kholová J., Nepolean T., Hash C. T., Supriya A., Rajaram V., Senthilvel S., et al. (2012). Water saving traits co-map with a major terminal drought tolerance quantitative trait locus in pearl millet [Pennisetum glaucum (L.) r. br.]. Mol. Breed. 30, 1337–1353. doi: 10.1007/s11032-012-9720-0 [DOI] [Google Scholar]
  55. Kim Y.-K., Chae S., Oh N.-I., Nguyen N. H., Cheong J.-J. (2020). Recurrent drought conditions enhance the induction of drought stress memory genes in glycine max l. Front. Genet. 11, 576086. doi: 10.3389/fgene.2020.576086 [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Konopka-Postupolska D., Clark G., Goch G., Debski J., Floras K., Cantero A., et al. (2009). The role of annexin 1 in drought stress in arabidopsis. Plant Physiol. 150, 1394–1410. doi: 10.1104/pp.109.135228 [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Kou S., Gu Q., Duan L., Liu G., Yuan P., Li H., et al. (2022). Genome-wide bisulphite sequencing uncovered the contribution of DNA methylation to rice short-term drought memory formation. J. Plant Growth Regul. 41, 2903–2917. doi: 10.1007/s00344-021-10483-3 [DOI] [Google Scholar]
  58. Kusaka M., Lalusin A. G., Fujimura T. (2005. a). The maintenance of growth and turgor in pearl millet (Pennisetum glaucum [L.] leeke) cultivars with different root structures and osmo-regulation under drought stress. Plant Sci. 168, 1–14. doi: 10.1016/j.plantsci.2004.06.021 [DOI] [Google Scholar]
  59. Kusaka M., Ohta M., Fujimura T. (2005. b). Contribution of inorganic components to osmotic adjustment and leaf folding for drought tolerance in pearl millet. Physiologia Plantarum 125, 474–489. doi: 10.1111/j.1399-3054.2005.00578.x [DOI] [Google Scholar]
  60. Li P., Brutnell T. P. (2011). Setaria viridis and setaria italica, model genetic systems for the panicoid grasses. J. Exp. Bot. 62, 3031–3037. doi: 10.1093/jxb/err096 [DOI] [PubMed] [Google Scholar]
  61. Li Y., Li H., Li Y., Zhang S. (2017). Improving water-use efficiency by decreasing stomatal conductance and transpiration rate to maintain higher ear photosynthetic rate in drought-resistant wheat. Crop J. 5, 231–239. doi: 10.1016/j.cj.2017.01.001 [DOI] [Google Scholar]
  62. Li D., Wang X., Yuan D., Zhang L., Jiang X., Tao Z., et al. (2014). Over-expression of ArathEULS3 confers ABA sensitivity and drought tolerance in arabidopsis. Plant Cell Tissue Organ Cult. 117, 431–442. doi:  10.1007/s11240-014-0453-0 [DOI] [Google Scholar]
  63. Li P., Yang H., Wang L., Liu H., Huo H., Zhang C., et al. (2019). Physiological and transcriptome analyses reveal short-term responses and formation of memory under drought stress in rice. Front. Genet. 10, 55. doi: 10.3389/fgene.2019.00055 [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Li H., Yang Y., Wang H., Liu S., Jia F., Su Y., et al. (2021). The receptor-like kinase ERECTA confers improved water use efficiency and drought tolerance to poplar via modulating stomatal density. Int. J. Mol. Sci. 22, 7245. doi:  10.3390/ijms22147245 [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Liu F., Xiong X., Wu L., Fu D., Hayward A., Zeng X., et al. (2014). BraLTP1, a lipid transfer protein gene involved in epicuticular wax deposition, cell proliferation and flower development in brassica napus. PloS One 9, e110272. doi: 10.1371/journal.pone.0110272 [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Liu C., Liu Y., Wang S., Ke Q., Yin L., Deng X., et al. (2020). Arabidopsis mgd mutants with reduced monogalactosyldiacylglycerol contents are hypersensitive to aluminium stress. Ecotoxicology Environ. Saf. 203, 110999. doi: 10.1016/j.ecoenv.2020.110999 [DOI] [PubMed] [Google Scholar]
  67. Lum M., Hanafi M., Rafii Y., Akmar A. (2014). Effect of drought stress on growth, proline and antioxidant enzyme activities of upland rice. J. Anim. Plant Sci. 24, 1487–1493. [Google Scholar]
  68. Mahalakshmi V., Bidinger F., Raju D. (1987). Effect of timing of water deficit on pearl millet (Pennisetum americanum). Field Crops Res. 15, 327–339. doi: 10.1016/0378-4290(87)90020-7 [DOI] [Google Scholar]
  69. Mahalakshmi V., Bidinger F., Rao G. (1988). Timing and intensity of water deficits during flowering and grain-filling in pearl millet. Agron. J. 80, 130–135. doi: 10.2134/agronj1988.00021962008000010028x [DOI] [Google Scholar]
  70. Mates J. (2001). Erratum to’Effects of antioxidant enzymes in the molecular control of reactive oxygen species toxicology’-[Toxicology 153 (2000) 83-104]. Toxicology 2, 219. doi: 10.1016/s0300-483x(00)00306-1 [DOI] [PubMed] [Google Scholar]
  71. Mishina T. E., Zeier J. (2007). Pathogen-associated molecular pattern recognition rather than development of tissue necrosis contributes to bacterial induction of systemic acquired resistance in arabidopsis. Plant J. 50, 500–513. doi:  10.1111/j.1365-313X.2007.03067.x [DOI] [PubMed] [Google Scholar]
  72. Mishra R. N., Reddy P. S., Nair S., Markandeya G., Reddy A. R., Sopory S. K., et al. (2007). Isolation and characterization of expressed sequence tags (ESTs) from subtracted cDNA libraries of pennisetum glaucum seedlings. Plant Mol. Biol. 64, 713–732. doi: 10.1007/s11103-007-9193-4 [DOI] [PubMed] [Google Scholar]
  73. Moazed D. (2009). Small RNAs in transcriptional gene silencing and genome defence. Nature 457, 413–420. doi: 10.1038/nature07756 [DOI] [PMC free article] [PubMed] [Google Scholar]
  74. Oumar I., Mariac C., Pham J.-L., Vigouroux Y. (2008). Phylogeny and origin of pearl millet (Pennisetum glaucum [L.] r. br) as revealed by microsatellite loci. Theor. Appl. Genet. 117, 489–497. doi: 10.1007/s00122-008-0793-4 [DOI] [PubMed] [Google Scholar]
  75. Pandey G. K., Cheong Y. H., Kim K.-N., Grant J. J., Li L., Hung W., et al. (2004). The calcium sensor calcineurin b-like 9 modulates abscisic acid sensitivity and biosynthesis in arabidopsis. Plant Cell 16, 1912–1924. doi: 10.1105/tpc.021311 [DOI] [PMC free article] [PubMed] [Google Scholar]
  76. Park E. J., Kim T. H. (2021). Arabidopsis OSMOTIN 34 functions in the ABA signaling pathway and is regulated by proteolysis. Int. J. Mol. Sci. 22 (15), 7915. doi:  10.3390/ijms22157915 [DOI] [PMC free article] [PubMed] [Google Scholar]
  77. Pardo J., VanBuren R. (2021). Evolutionary innovations driving abiotic stress tolerance in C4 grasses and cereals. Plant Cell 33, 3391–3401. doi: 10.1093/plcell/koab205 [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. Passot S., Gnacko F., Moukouanga D., Lucas M., Guyomarc’h S., Ortega B. M., et al. (2016). Characterization of pearl millet root architecture and anatomy reveals three types of lateral roots. Front. Plant Sci. 7, 829. doi: 10.3389/fpls.2016.00829 [DOI] [PMC free article] [PubMed] [Google Scholar]
  79. Peters S., Egert A., Stieger B., Keller F. (2010). Functional identification of arabidopsis ATSIP2 (At3g57520) as an alkalineα-galactosidasewith a substrate specificity for raffinose and an apparent sink-specific expression pattern. Plant Cell Physiol. 51, 1815–1819. doi:  10.1093/pcp/pcq127 [DOI] [PubMed] [Google Scholar]
  80. Pucher A., Sy O., Angarawai I. I., Gondah J., Zangre R., Ouedraogo M., et al. (2015). Agro-morphological characterization of West and central African pearl millet accessions. Crop Sci. 55, 737–748. doi: 10.2135/cropsci2014.06.0450 [DOI] [Google Scholar]
  81. Punnuri S., Harris-Shultz K., Knoll J., Ni X., Wang H. (2017). The genes bm2 and blmc that affect epicuticular wax deposition in sorghum are allelic. Crop Sci. 57, 1552–1556. doi: 10.2135/cropsci2016.11.0937 [DOI] [Google Scholar]
  82. Qi J., Wang J., Gong Z., Zhou J.-M. (2017). Apoplastic ROS signaling in plant immunity. Curr. Opin. Plant Biol. 38, 92–100. doi: 10.1016/j.pbi.2017.04.022 [DOI] [PubMed] [Google Scholar]
  83. Queitsch C., Hong S.-W., Vierling E., Lindquist S. (2000). Heat shock protein 101 plays a crucial role in thermotolerance in arabidopsis. Plant Cell 12, 479–492. doi: 10.1105/tpc.12.4.479 [DOI] [PMC free article] [PubMed] [Google Scholar]
  84. Rai K., Murty D., Andrews D., Bramel-Cox P. (1999). Genetic enhancement of pearl millet and sorghum for the semi-arid tropics of Asia and Africa. Genome 42, 617–628. doi: 10.1139/g99-040 [DOI] [Google Scholar]
  85. Redmann R. (1985). Adaptation of grasses to water stress-leaf rolling and stomate distribution. Ann. Missouri Botanical Garden 72, 833–842. doi: 10.2307/2399225 [DOI] [Google Scholar]
  86. Remigereau M.-S., Lakis G., Rekima S., Leveugle M., Fontaine M. C., Langin T., et al. (2011). Cereal domestication and evolution of branching: evidence for soft selection in the Tb1 orthologue of pearl millet (Pennisetum glaucum [L.] r. br.). PloS One 6, e22404. doi: 10.1371/journal.pone.0022404 [DOI] [PMC free article] [PubMed] [Google Scholar]
  87. Renganathan V. G., Vanniarajan C., Karthikeyan A., Ramalingam J. (2020). Barnyard millet for food and nutritional security: Current status and future research direction. Front. Genet. 11, 500. doi: 10.3389/fgene.2020.00500 [DOI] [PMC free article] [PubMed] [Google Scholar]
  88. Rogowska A., Szakiel A. (2020). The role of sterols in plant response to abiotic stress. Phytochem. Rev. 19, 1525–1538. doi: 10.1007/s11101-020-09708-2 [DOI] [Google Scholar]
  89. Sanyal S. K., Kanwar P., Yadav A. K., Sharma C., Kumar A., Pandey G. K. (2017). Arabidopsis CBL interacting protein kinase 3 interacts with ABR1, an APETALA2 domain transcription factor, to regulate ABA responses. Plant Sci. 254, 48–59. doi:  10.1016/j.plantsci.2016.11.004 [DOI] [PubMed] [Google Scholar]
  90. Satyavathi C. T., Ambawat S., Khandelwal V., Srivastava R. K. (2021). Pearl millet: A climate-resilient nutricereal for mitigating hidden hunger and provide nutritional security. Front. Plant Sci., 12, 1828. doi: 10.3389/fpls.2021.659938 [DOI] [PMC free article] [PubMed] [Google Scholar]
  91. Schopper S., Mühlenbock P., Sörensson C., Hellborg L., Lenman M., Widdel S., et al. (2015). Arabidopsis cytosolic alpha-glycan phosphorylase, PHS 2, is important during carbohydrate imbalanced conditions. Plant Biol. 17, 74–80. doi:  10.1111/plb.12190 [DOI] [PubMed] [Google Scholar]
  92. Sehgal D., Rajaram V., Armstead I. P., Vadez V., Yadav Y. P., Hash C. T., et al. (2012). Integration of gene-based markers in a pearl millet genetic map for identification of candidate genes underlying drought tolerance quantitative trait loci. BMC Plant Biol. 12, 1–13. doi: 10.1186/1471-2229-12-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  93. Seltmann M. A., Stingl N. E., Lautenschlaeger J. K., Krischke M., Mueller M. J., Berger S. (2010). Differential impact of lipoxygenase 2 and jasmonates on natural and stress-induced senescence in arabidopsis. Plant Physiol. 152, 1940–1950. doi:  10.1104/pp.110.153114 [DOI] [PMC free article] [PubMed] [Google Scholar]
  94. Serba D. D., Perumal R., Tesso T. T., Min D. (2017). Status of global pearl millet breeding programs and the way forward. Crop Sci. 57, 2891–2905. doi: 10.2135/cropsci2016.11.0936 [DOI] [Google Scholar]
  95. Serraj R., Hash C. T., Rizvi S. M. H., Sharma A., Yadav R. S., Bidinger F. R. (2005). Recent advances in marker-assisted selection for drought tolerance in pearl millet. Plant production Sci. 8, 334–337. doi: 10.1626/pps.8.334 [DOI] [Google Scholar]
  96. Shao M.-R., Jiang N., Li M., Howard A., Lehner K., Mullen J., et al. (2021). Complementary phenotyping of maize root system architecture by root pulling force and X-ray imaging. Plant Phenomics 2021, 1. doi: 10.34133/2021/9859254 [DOI] [PMC free article] [PubMed] [Google Scholar]
  97. Sharma P. C., Sehgal D., Singh D., Singh G., Yadav R. S. (2011). A major terminal drought tolerance QTL of pearl millet is also associated with reduced salt uptake and enhanced growth under salt stress. Mol. Breed. 27, 207–222. doi: 10.1007/s11032-010-9423-3 [DOI] [Google Scholar]
  98. Sharma P. C., Singh D., Sehgal D., Singh G., Hash C. T., Yadav R. S. (2014). Further evidence that a terminal drought tolerance QTL of pearl millet is associated with reduced salt uptake. Environ. Exp. Bot. 102, 48–57. doi: 10.1016/j.envexpbot.2014.01.013 [DOI] [PMC free article] [PubMed] [Google Scholar]
  99. Shavrukov Y., Kurishbayev A., Jatayev S., Shvidchenko V., Zotova L., Koekemoer F., et al. (2017). Early flowering as a drought escape mechanism in plants: How can it aid wheat production? Front. Plant Sci. 8, 1950. doi: 10.3389/fpls.2017.01950 [DOI] [PMC free article] [PubMed] [Google Scholar]
  100. Shivhare R., Asif M. H., Lata C. (2020. a). Comparative transcriptome analysis reveals the genes and pathways involved in terminal drought tolerance in pearl millet. Plant Mol. Biol. 103, 639–652. doi: 10.1007/s11103-020-01015-w [DOI] [PubMed] [Google Scholar]
  101. Shivhare R., Lakhwani D., Asif M. H., Chauhan P. S., Lata C. (2020. b). De novo assembly and comparative transcriptome analysis of contrasting pearl millet (Pennisetum glaucum l.) genotypes under terminal drought stress using illumina sequencing. Nucleus 63, 341–352. doi: 10.1007/s13237-020-00324-1 [DOI] [Google Scholar]
  102. Shivhare R., Lata C. (2017). Exploration of genetic and genomic resources for abiotic and biotic stress tolerance in pearl millet. Front. Plant Sci. 7, 2069. doi: 10.3389/fpls.2016.02069 [DOI] [PMC free article] [PubMed] [Google Scholar]
  103. Shivhare R., Lata C. (2019). Assessment of pearl millet genotypes for drought stress tolerance at early and late seedling stages. Acta Physiologiae Plantarum 41, 1–10. doi: 10.1007/s11738-019-2831-z [DOI] [Google Scholar]
  104. Sivamani E., Bahieldin A., Wraith J. M., Al-Niemi T., Dyer W. E., Ho T.-H. D., et al. (2000). Improved biomass productivity and water use efficiency under water deficit conditions in transgenic wheat constitutively expressing the barley HVA1 gene. Plant Sci. 155, 1–9. doi: 10.1016/S0168-9452(99)00247-2 [DOI] [PubMed] [Google Scholar]
  105. Soares A., Niedermaier S., Faro R., Loos A., Manadas B., Faro C., et al. (2019). An atypical aspartic protease modulates lateral root development in arabidopsis thaliana. J. Exp. Bot. 70, 2157–2171. doi:  10.1093/jxb/erz059 [DOI] [PubMed] [Google Scholar]
  106. South P. F., Walker B. J., Cavanagh A. P., Rolland V., Badger M., Ort D. R. (2017). Bile acid sodium symporter BASS6 can transport glycolate and is involved in photorespiratory metabolism in arabidopsis thaliana. Plant Cell 29, 808–823. doi: 10.1105/tpc.16.00775 [DOI] [PMC free article] [PubMed] [Google Scholar]
  107. Sun M., Huang D., Zhang A., Khan I., Yan H., Wang X., et al. (2020). Transcriptome analysis of heat stress and drought stress in pearl millet based on pacbio full-length transcriptome sequencing. BMC Plant Biol. 20, 1–15. doi: 10.1186/s12870-020-02530-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  108. Supek F., Bošnjak M., Škunca N., Šmuc T. (2011). REVIGO summarizes and visualizes long lists of gene ontology terms. PloS One 6, e21800. doi: 10.1371/journal.pone.0021800 [DOI] [PMC free article] [PubMed] [Google Scholar]
  109. Takahashi Y., Ebisu Y., Kinoshita T., Doi M., Okuma E., Murata Y., et al. (2013). bHLH transcription factors that facilitate K+ uptake during stomatal opening are repressed by abscisic acid through phosphorylation. Sci. Signal. 6, ra48. doi: 10.1126/scisignal.2003760 [DOI] [PubMed] [Google Scholar]
  110. Teowolde H., Osman M., Voigt R., Dobrenz A. (1986). Stomate distribution of three pearl millet genotypes. Forage and Grain Report, 131. [Google Scholar]
  111. Tharanya M., Kholova J., Sivasakthi K., Seghal D., Hash C. T., Raj B., et al. (2018). Quantitative trait loci (QTLs) for water use and crop production traits co-locate with major QTL for tolerance to water deficit in a fine-mapping population of pearl millet (Pennisetum glaucum LR br.). Theor. Appl. Genet. 131, 1509–1529. doi: 10.1007/s00122-018-3094-6 [DOI] [PubMed] [Google Scholar]
  112. Upadhyaya H., Reddy K., Gowda C. (2007). Pearl millet germplasm at ICRISAT genebank-status and impact. J. SAT Agric. Res. 3, 5pp. [Google Scholar]
  113. Vadez V., Hash T., Kholova J. (2012). II. 1.5 phenotyping pearl millet for adaptation to drought. Front. Physiol. 3, 386. doi: 10.3389/fphys.2012.00386 [DOI] [PMC free article] [PubMed] [Google Scholar]
  114. Varshney R. K., Shi C., Thudi M., Mariac C., Wallace J., Qi P., et al. (2017). Pearl millet genome sequence provides a resource to improve agronomic traits in arid environments. Nat. Biotechnol. 35, 969–976. doi: 10.1038/nbt.3943 [DOI] [PMC free article] [PubMed] [Google Scholar]
  115. Vijayalakshmi T., Varalaxmi Y., Jainender S., Yadav S., Vanaja M., Jyothilakshmi N., et al. (2012). Physiological and biochemical basis of water-deficit stress tolerance in pearl millet hybrid and parents. Am. J. Plant Sci. 3, 1730–1740. doi: 10.4236/ajps.2012.312211 [DOI] [Google Scholar]
  116. Wang X., Vignjevic M., Jiang D., Jacobsen S., Wollenweber B. (2014). Improved tolerance to drought stress after anthesis due to priming before anthesis in wheat (Triticum aestivum l.) var. vinjett. J. Exp. Bot. 65, 6441–6456. doi: 10.1093/jxb/eru362 [DOI] [PMC free article] [PubMed] [Google Scholar]
  117. Wu Z., Han S., Zhou H., Tuang Z. K., Wang Y., Jin Y., et al. (2019). Cold stress activates disease resistance in arabidopsis thaliana through a salicylic acid dependent pathway. Plant Cell Environ. 42, 2645–2663. doi: 10.1111/pce.13579 [DOI] [PubMed] [Google Scholar]
  118. Xie M., Ren G., Costa-Nunes P., Pontes O., Yu B. (2012). A subgroup of SGS3-like proteins act redundantly in RNA-directed DNA methylation. Nucleic Acids Res. 40, 4422–4431. doi: 10.1093/nar/gks034 [DOI] [PMC free article] [PubMed] [Google Scholar]
  119. Yadav R. S., Hash C., Bidinger F., Cavan G., Howarth C. J. (2002). Quantitative trait loci associated with traits determining grain and stover yield in pearl millet under terminal drought-stress conditions. Theor. Appl. Genet. 104, 67–83. doi: 10.1007/s001220200008 [DOI] [PubMed] [Google Scholar]
  120. Yadav R. S., Hash C., Bidinger F., Devos K., Howarth C. J. (2004). Genomic regions associated with grain yield and aspects of post-flowering drought tolerance in pearl millet across stress environments and tester background. Euphytica 136, 265–277. doi: 10.1023/B:EUPH.0000032711.34599.3a [DOI] [Google Scholar]
  121. Yadav S., Sandhu N., Singh V. K., Catolos M., Kumar A. (2019). Genotyping-by-sequencing based QTL mapping for rice grain yield under reproductive stage drought stress tolerance. Sci. Rep. 9, 1–12. doi: 10.1038/s41598-019-50880-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  122. Yamaguchi N., Matsubara S., Yoshimizu K., Seki M., Hamada K., Kamitani M., et al. (2021). H3K27me3 demethylases alter HSP22 and HSP17. 6C expression in response to recurring heat in arabidopsis. Nat. Commun. 12, 1–16. doi: 10.1038/s41467-021-23766-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  123. Yamaguchi-Shinozaki K., Shinozaki K. (1993). Arabidopsis DNA encoding two desiccation-responsive rd29 genes. Plant Physiol. 101, 1119. doi: 10.1104/pp.101.3.1119 [DOI] [PMC free article] [PubMed] [Google Scholar]
  124. Zegada-Lizarazu W., Iijima M. (2005). Deep root water uptake ability and water use efficiency of pearl millet in comparison to other millet species. Plant production Sci. 8, 454–460. doi: 10.1626/pps.8.454 [DOI] [Google Scholar]
  125. Zhang Y., Zhao L., Zhao J., Li Y., Wang J., Guo R., et al. (2017). S5H/DMR6 encodes a salicylic acid 5-hydroxylase that fine-tunes salicylic acid homeostasis. Plant Physiol. 175, 1082–1093. doi:  10.1104/pp.17.00695 [DOI] [PMC free article] [PubMed] [Google Scholar]
  126. Zhang A., Ji Y., Sun M., Lin C., Zhou P., Ren J., et al. (2021). Research on the drought tolerance mechanism of pennisetum glaucum (L.) in the root during the seedling stage. BMC Genomics 22, 1–14. doi: 10.1186/s12864-021-07888-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  127. Żur I., Gołębiowska G., Dubas E., Golemiec E., Matušíková I., Libantová J., et al. (2013). β-1, 3-glucanase and chitinase activities in winter triticales during cold hardening and subsequent infection by microdochium nivale. Biologia 68, 241–248. doi:  10.2478/s11756-013-0001-0 [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

Publicly available datasets were analyzed in this study. This data can be found here: PRJNA385901 for Jaiswal et al., 2018, and list of DEGs in Supplementary Materials PRJNA574746 for Shivhare et al., 2020a, and list of DEGs in Supplementary Materials PRJNA607164 for Shivhare et al., 2020a, and list of DEGs in Supplementary Materials .


Articles from Frontiers in Plant Science are provided here courtesy of Frontiers Media SA

RESOURCES