Transcriptomic analysis reveals the differentially expressed genes and pathways involved in drought tolerance in pearl millet [Pennisetum glaucum (L.) R. Br]
Transcriptomic analysis reveals the differentially expressed genes and pathways involved in drought tolerance in pearl millet [Pennisetum glaucum (L.) R. Br]
Ambika Dudhate 0 1
Harshraj Shinde 0 1
Daisuke Tsugama 1
Shenkui Liu 1
Tetsuo Takano 0 1
0 Asian Natural Environmental Science Center (ANESC), the University of Tokyo , Nishitokyo-shi, Tokyo , Japan , 2 Hokkaido University , Hokkaido , Japan , 3 State Key Laboratory of Subtropical Silviculture, Zhejiang A and F University , Lin'an, Hangzhou , China
1 Editor: Rattan Singh Yadav, Aberystwyth University , UNITED KINGDOM
Pearl millet is a cereal crop known for its high tolerance to drought, heat and salinity stresses as well as for its nutritional quality. The molecular mechanism of drought tolerance in pearl millet is unknown. Here we attempted to unravel the molecular basis of drought tolerance in two pearl millet inbred lines, ICMB 843 and ICMB 863 using RNA sequencing. Under greenhouse condition, ICMB 843 was found to be more tolerant to drought than ICMB 863. We sequenced the root transcriptome from both lines under control and drought conditions using an Illumina Hi-Seq platform, generating 139.1 million reads. Mapping of sequenced reads against the foxtail millet genome, which has been relatively well-annotated, led to the identification of several differentially expressed genes under drought stress. Total of 6799 and 1253 differentially expressed genes were found in ICMB 843 and ICMB 863, respectively. Pathway and gene function analysis by KEGG online tool revealed that the drought response in pearl millet is mainly regulated by pathways related to photosynthesis, plant hormone signal transduction and mitogen-activated protein kinase signaling. The changes in expression of drought-responsive genes determined by RNA sequencing were confirmed by reverse-transcription PCR for 7 genes. These results are a first step to understanding the molecular mechanisms of drought tolerance in pearl millet and lay a foundation for its genetic improvement.
Data Availability Statement: DATA in FASTQ
format were submitted to SRA (Sequence read
archive), NCBI (Bio project Id: PRJNA419859). The
raw reads can be accessed with accession number
SRR6327851 to SRR6327856 for control samples
and SRR6327857 to SRR6327862 for
Funding: The authors received no specific funding
for this work.
Drought is a major abiotic stress that adversely affects agricultural productivity worldwide.
Most of the cereal crops on which the world population depends for food are susceptible to
drought. Water deficiency is a global concern that is expected to become worse in the next
]. Therefore, understanding the mechanisms of drought tolerance in cereal crops and
development of drought-tolerant varieties are key strategies to maintain yield under drought
conditions. Mechanisms that overcome drought stress in plants include drought avoidance,
drought tolerance, drought escape and drought recovery [2,3]. At the molecular level, plants
respond to drought by inducing both regulatory and functional genes [
]. Many metabolic
pathways, such as the abscisic acid (ABA) signaling pathway, mitogen-activated protein kinase
(MAPK) signaling pathway and photosynthesis-associated pathways, respond to drought stress
[5±7]. Recently many efforts have been made to elucidate the mechanism of drought tolerance
in non-model cereal crops through molecular and genomic approaches [8±10].
Pearl millet (Pennisetum glaucum (L.) R. Br.) (2n = 2X = 14) is the world's sixth most
important cereal crop, and is primarily grown as a rain-fed crop in the low rainfall zones of
SubSaharan Africa and the Indian subcontinent . Pearl millet is a C4 cereal crop belonging to
the family Poaceae and subfamily Panicoideae. It is a cross-pollinated crop with short life cycle
and outbreeding nature. . Compared to other cereal crops such as rice, wheat, maize and
sorghum, it has high tolerance to abiotic stresses, such as drought, salinity, high temperature
and soil nutrient deficiency . It is mainly grown for food grain production, but in some
cases, it is also grown for hay, bird feed, biofuel and forage. Pearl millet is a nutrient-rich crop;
its seeds contain more protein, iron, zinc and energy than seeds of rice, wheat and maize .
So far only two research groups have investigated drought tolerance in pearl millet using
transcriptomic approaches [15,16]. A few genes, such as PgDREB2A (Drought responsive
element binding protein 2A) and PgGPx (Glutathione peroxide), have been studied for their role
in drought tolerance [17,18]. However, it is expected that many more genes are involved.
Recently, the pearl millet genome has been sequenced by the international pearl millet genome
sequencing consortium (IPMGSC). The draft genome sequence is publicly available, and will
help to understand the pearl millet drought tolerance mechanisms , although it needs to be
Transcriptomic analysis using next generation sequencing (NGS) is an efficient method for
exploring gene expression patterns in plants. However, RNA Sequencing (RNA-Seq) using
NGS has the ability to detect differentially expressed genes (DEGs) because it has a dynamic
range of expression levels . Here, we used an RNA-Seq approach to understand the
pathways involved in pearl millet in responses to drought stress. The data will help to design more
detailed studies of drought tolerance in this species as well as develop DNA markers that could
facilitate breeding more drought-tolerant varieties.
Materials and methods
Experimental material and growth condition
Seeds of pearl millet were procured from International Crop Research Institute of Semi-arid
Tropics (ICRISAT), India. Two inbred lines ICMB 843 as drought tolerant and ICMB 863 as
comparatively less drought tolerant having different levels of drought tolerance were selected
for our study.
The experiment was conducted under controlled greenhouse conditions. Around 20 seeds
of each inbred line were sown in equal volumes of soil and vermiculite in perforated terracotta
pots with the size of 11 litters. Each growth experiment was done with three replications. For
growth tests and RNA-Seq, drought stress was imposed on 21-day-old plants by withholding
water for 5 days, while control plants were watered on alternate days.
Plants of both lines were grown as described in the ªExperimental material and growth
conditionº subsection. SPAD values of control and drought stressed plants were measured using
SPAD 502 Plus Chlorophyll Meter (Spectrum Technologies Inc., Aurora, Illinois, USA).
Relative water content (RWC) was calculated as previously described .
RNA extraction, library preparation and sequencing
Roots of drought-stressed plants and control plants were ground in liquid nitrogen with a
mortar and pestle. Total RNA was isolated with Trizol (Sigma-Aldrich Cat.no:15596026), and
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genomic DNA was digested with RNase-Free DNase (Qiagen). RNA degradation and potential
DNA contamination were checked by gel electrophoresis. RNA integrity number (RIN) and
quantitation check were performed by Agilent 2100 bioanalyzer. After the quality check
procedures, mRNA from roots was enriched using oligo(dT) beads. The mRNA was fragmented
randomly by adding fragmentation buffer, then the cDNA was synthesized using mRNA
template and random hexamers, after which a second strand synthesis buffer (Illumina), dNTPs,
RNase H and DNA polymerase I were added to initiate the second-strand synthesis. After
terminal repair and sequencing adapter ligation, the double-stranded cDNA library was
completed through size selection and PCR enrichment. The qualified libraries were subjected to
sequencing by Illumina Hiseq through NOVOgene Co., ltd. Twelve data sets for paired-end
sequencing reads in FASTQ format were submitted to SRA (Sequence Read Archive) at NCBI,
and can be retrieved by the accession number SRP125789.
Reads mapping and differential gene expression analysis
Raw reads obtained by sequencing were quality-checked using online tool FASTQC
(Version.0.11.5). Qualified reads were mapped to the reference genomes using Genome Work
bench 9.5.4 (CLC Bio. Japan). The read counts were normalized by reads per kilobase per
million mapped reads (RPKM = Total exon reads/mapped reads in million X exon length in kb)
for each gene and log2 transformed.
Gene expression levels were estimated by RPKM values using advanced plugins for
RNA-Seq in CLC Workbench 9.5.4. Baggereley test was used to calculate P values. Genes with log2
fold changes >2 or < -2, and FDR-corrected p values <0.05 were regarded as DEGs.
Pathway enrichment analysis
The DEGs in both inbred lines of pearl millet (ICMB 843 and ICMB 863) under control and
stressed conditions were mapped to the biological pathways by using online tool KEGG
(Kyoto encyclopedia for genes and genomes)  and the pathways enriched by DEGs were
Validation of RNA-Seq data by real time RT-PCR
Seven genes were selected based on the RPKM values. Real time PCR was performed using
Step-one Real-Time instrument (Applied Biosystems) and the SYBR Green I kit (Roche, Basel,
Switzerland). Reactions were performed in triplicate and contained 100 ng of cDNA, 1 μL of
each primer (10 μM/ μL) and 10 μL of SYBR green master mix in a final volume of 20 μL. The
primer pairs listed in S1 Table were designed to yield products with the sizes of 80±200 bp
based on the sequences in the foxtail millet genome mapped with the pearl millet reads. The
PCR cycling conditions were as follows: an initial denaturation step of 20 s at 50 ÊC, 10 min at
95 ÊC, and 40 cycles of 15 s at 95 ÊC, and 1 min at 60 ÊC followed by melt curve analysis. The
PgActin gene was used as a reference gene . Relative fold differences for each sample in
each experiment were calculated using the ΔΔCt method .
Effect of drought treatment on physiology of pearl millet lines
Within 5±7 days of drought stress treatment, ICMB 863 started showing drought stress
symptoms such as leaf tip drying and rolling, whereas ICMB 843 did not show any of these
symptoms. Both lines showed lodging during drought stress, but lodging was more severe in ICMB
863 (Fig 1A). Total chlorophyll content or greenness determined by SPAD meter (Fig 1B)
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Fig 1. Physiological analysis of pearl millet for drought. A) Effects of drought on the physiology of pearl millet lines (ICMB 843 and ICMB 863). B) SPAD value of
pearl millet lines under and drought conditions. Values are mean ± SE (n = 20) C) Relative water content of leaf under control and drought stress. Values are
mean ± SE (n = 20).
showed a greater reduction of chlorophyll in ICMB 863 than in ICMB 843. These observations
indicate that the drought caused a greater reduction in photosynthetic activity in ICMB 863
than in ICMB 843. Drought treatment decreased RWC significantly more in ICMB 863 than
in ICMB 843 (Fig 1C). These results suggest that ICMB 843 is more tolerant to drought than
ICMB 863 at seedling stage.
Transcriptomic profiling and mapping statistics of pearl millet
Roots are the organ that would first respond to drought stress, and drought-stressed pearl
millet roots were subjected to RNA-Seq to analyze their transcriptome. Illumina sequencing
resulted in generating around 139 million of raw reads. Preprocessing with the CLC genomics
workbench 9.0 generated 134 million clean reads (Table 1).
The clean reads were mapped to the genomes of two closely related members of the Poaceae
family, foxtail millet (S. italica) and rice (O. sativa) . These genomes were used because
they have been annotated better than the pearl millet genome. About 33±61% of the reads
were mapped to the foxtail millet genome, and about 25±30% of the reads were mapped to the
rice genome (Fig 2). Therefore, the foxtail millet genome was used as the reference genome for
further analyses. Interestingly, the percentage of mapped reads was lower in the samples from
drought-stressed ICMB 843 than in the other samples (Fig 2 and Table 1). This might be
because drought stress increases variation in transcripts in ICMB 843.
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1,2,3 = Individual Biological replications of sample
Q20(%) = Bases with the phred value >20 (in percentage)
Q30(%) = Bases with the phred value >30 (in percentage)
Total number of reads mapped to the genome of Setaria Italica (percentage)
Differentially expressed genes for drought stress in pearl millet
RPKM and log2 transformation were used for extracting DEGs. Drought treatment
up-regulated ~4 times more genes in the drought-tolerant line ICMB 843 than in the drought-sensitive
line ICMB 863, and while it down-regulated ~10 times more genes in ICMB 843 than in ICMB
863 (Fig 3A).
Venn diagram highlights overlapping DEGs expressed in both ICMB 843 and ICMB 863
under drought situation (Fig 3B). In ICMB 843, 2846 genes were up-regulated and 3169 were
Fig 2. Mapping of pearl millet reads to the foxtail millet genome and the rice genome. X axis denotes the sample names under
control and drought stress and Y axis denotes the percentage of mapped genes.
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Fig 3. DEG analysis in comparisons study. A) Number of DEGs in all combinations with fold change >2 or <-2 and FDR-corrected pvalue <0.05) Blue and red bars
indicate up- and down- regulated respectively. C: control and T and Treated: Drought- treated B) Venn diagram showing an up-regulated (right side) and down
regulated (left side) genes in lines ICMB 843 and ICMB 863 under drought treated situation.
down-regulated by drought treatment, while in ICMB 863 about 371 genes were up-regulated
and 96 genes were down-regulated. Common genes that were up-regulated and
down-regulated in both lines were 508 and 278 respectively.
Effect of drought on biological pathways of pearl millet
To associate the DEGs found in our RNA-Seq with known biological pathways, KEGG analysis
was performed. The biological pathways enriched with up-regulated DEGs were
photosynthesis, plant hormone signal transduction and MAPK signal transduction (Fig 4).
There were around 25 upregulated genes encoding components of five subunits of
photosynthesis (Photosystem II, Photosystem I, cytochrome b6/f complex, photosynthetic electron
transport and f-type ATPase). Most of them were up regulated in ICMB 843 but not in ICMB
863 (Fig 5).
In total, 22 genes in our study shows association with these two signaling pathways. These
22 genes were mainly related to the genes with Auxin biosynthesis (Aux/IAA, GH3, SAUR),
Diterpenoid biosynthesis (GID1, PIF), Carotenoid biosynthesis (PP2C, SnRK2, ABF), Ethylene
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Fig 4. Heat map showing the number of DEGs enriched in different KEGG pathways. The bar scale shows the number of DEGs associated with pathways.
biosynthesis (ETR, RTE, MKK6, ChiB) and Abscisic acids (PVR, MAP3K17/18, CAT1, MAPK1,
MAPK6). Further details about the pathways and associated genes are listed in the (S2 Table).
Plant hormone signaling pathway and MAPK pathways seems to be interlinked with each
other as they share common byproducts that may increase tolerance to drought in pearl millet
Validation of RNA-Seq data with the quantitative real time PCR
The relative gene expression patterns of the qRT-PCR results for 7 genes were consistent with
RNA-Seq data (Fig 7). The annotations for the genes selected for validation are listed in
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Fig 5. DEGs involved in photosynthesis. Genes up-regulated by drought stress are shown (25 genes in ICMB 843 and 4 in ICMB 863) in green boxes. White boxes
indicate the non-drought-responsive genes. This image was generated using the online tool KEGG Mapper±Colour Pathway (http://www.genome.jp/kegg/tool/map_
Many drought-responsive genes were identified by our RNA-Seq analysis. Many of these
genes were associated with photosynthesis, plant hormone signaling and MAPK signaling
pathway. To our knowledge, this is the first study in pearl millet for drought tolerance by
Drought responsive genes involved in photosynthesis
As a primary metabolic process, photosynthesis plays a crucial central role in plants life when
under drought stress. One of the major effects of drought and other environmental stresses
] is to damage both of the Photosystems (PS I and PS II, respectively) . PS II is a
complex network of protein containing several types of chlorophyll binding components. Main
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Fig 6. DEGs involved in phytohormone and MAPK signaling pathway. The proposed pathways show phytohormone biosynthesis (light orange) and MAPK
signaling pathways (light blue). This figure shows only the genes that have been associated with the pathway from transcriptome analysis. Red boxes show plant
hormones, blue boxes show the genes up-regulated stress, green arrow shows genes involved in drought tolerance through ubiquitin mediated proteolysis and red
arrows shows the direct involvement in the drought tolerance. Light blue lines with a bar denotes inhibition and simple arrows denotes activation. -p indicates de
phosphorylation process. Aux/IAA: auxin-responsive protein IAA; GH3: Auxin-responsive GH3 family protein; SAUR: SAUR-like auxin-responsive protein family;
CRE: Histidine kinase 2/3/4 (cytokinin receptor); B-ARR: Two-component response regulator ARR-B family; GID1: Alpha/beta-Hydrolases superfamily protein; TF:
Phytochrome interacting factor 3 (PIF3); PP2C: Protein phosphatase 2C; SnRK2: Serine/threonine-protein kinase SRK2; ABF: ABA responsive element binding factor;
ETR: Ethylene receptor; EIN3: ETHYLENE-INSENSITIVE3-like 3; JAZ: Jasmonate ZIM domain-containing protein; RTE1: Transmembrane protein 222; MKK9:
Mitogen-activated protein kinase kinase 9; ChiB: Basic endochitinase B; MAP3K17/18: Mitogen-activated protein kinase kinase kinase 17/18; MAPK1:
Mitogenactivated protein kinase 1; MAPK6: Mitogen-activated protein kinase 6; CAT7: Catalase.
function of these components is to organize chlorophyll for light harvesting but PS II also acts
as cofactor needed for oxidation of water . In our study, we found that 25 up-regulated
genes in ICMB 843 and 8 genes in ICMB 863 are involved in photosynthesis and
photosynthesis-related pathways. In Arabidopsis, PS II and light harvesting complex II (LHC II) play an
important role in preventing the photo-damage to PS II under drought stress . Ten PS II
genes were up-regulated in ICMB 843 upon drought stress. These included PsbQ, which is
necessary for regulation of activity of PS II , PsbR, which is required for preparation of oxygen
evolving complex of PS II, PsbP, PsbQ and PsbW, which stabilizes the supramolecular
organization of PS II and six other genes (PsbA, PsbD, PsbC, Psb I, PsbZ, Psb27) . On the other
hand, in ICMB 863, only PsbW and Psb27 genes were up-regulated. As mainly these genes are
related to avoid photodamage to PS II, it might be possible that on drought stress pearl millet
activates the genes to maintain its structural integrity. Other up-regulated genes such as PsaB
PsaD and PsaE are related to electron transport and ferredoxin binding . PsaF, PsaG,
PsaH, PsaK, PsaL, PsaK and PsaO have a role in binding of light harvesting complex 
and genes encoding them were also found to be up-regulated by drought stress (Fig 5 and
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Fig 7. Validation of RNA-Seq result with RT PCR. Expression of 7 randomly selected genes was examined by RT- PCR analysis. For each gene, fold changes were
calculated by ΔΔCt method in the RT-PCR and with the RPKM values in the RNA-Seq, respectively.
S2 Table). These results raise the possibility that electron transport in PS I and PS II is activated
by drought stress in pearl millet.
Drought and plant hormone signal transduction and MAPK signalling
Phytohormones, such as abscisic acid (ABA), cytokinin (CK), gibberellic acid (GA), auxin,
and ethylene, and jasmonate regulate diverse processes and confers drought tolerance to plants
. In our analysis, we found genes associated with the biosynthesis and signalling of these
phytohormones. Such genes include AUX/IAA, GH3, and SAUR. Auxin biosynthesis is known
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to confer drought tolerance in Rice , OsGH3-2 a member of the GH3 family was proved to
be modulating the level of ABA and stress tolerance in rice , SAUR genes has not been yet
functionally characterized, are altered by auxin and are hypothesized to be involved in the
drought tolerance by auxin . GID1 and Phytochrome interacting factor 4 are involved GA
signaling and in regulating drought stress responses [38,39]. PP2C, SnRK2, and ABRF are
involved in ABA signaling and in regulating drought stress [40±42]. Our study suggests that
homologs of these genes are all up-regulated by drought stress in pearl millet. Biosynthesis of
ethylene from 1-aminocyclopropane-1-carboxylic acid during drought is triggered to induce
the senescence . We found up- regulation of pearl millet homologs encoding ETR and
EIN3 which were previously showed to mediate ethylene signaling and to negatively regulate
drought stress [44±46]. Further studies are needed to elucidate their relevance to drought stress
response of pearl millet. Biosynthesis, modification, and signaling of jasmonate during
drought are comprehensively studied . Up-regulation of homologs possibly encoding JAZ
protein which mediates jasmonate signaling was observed in our study.
MAPK is a signal transduction pathway somewhat conserved in all eukaryotes, including
yeasts, animals and plants; involvement of MAPK in drought stress responses has been already
reported . RNA-Seq analysis of maize found that MAPK kinase kinases (MAPKKKs) have
important regulatory functions in drought tolerance in maize . In our study of pearl millet,
we observed the drought-responsive up-regulation of MAPK signaling pathway. Some other
components of MAPK cascades are known to be involved in ABA and ethylene signaling and
drought stress responses. The Upregulation of these kinases may contribute to conferring
drought tolerance in case of the pearl millet (Fig 6 and S2 Table).
Pearl millet is a drought-tolerant cereal crop and therefore represents a novel source for
investigating the molecular mechanism of drought tolerance in cereal crops. Two pearl millet
inbred lines, ICMB 843 and ICMB 863, which exhibit diverse responses against drought stress
were used for the study. ICMB 843 is relatively more tolerant to drought than ICMB 863 at
seedling stage. RNA-Seq analysis showed that ICMB 843 activated more number of drought
responsive genes than ICMB 863. Genes related to photosynthesis, plant hormone signal
transduction and MAPK signalling pathways were induced by drought in pearl millet. Identified
drought- responsive genes and metabolic pathways are targets for future studies in order to
understand the molecular mechanism of drought tolerance in pearl millet.
S1 Table. Primers used in RT PCR for validation of RNA seq data.
S2 Table. Drought responsive expression pattern of selected DEGs in genotypes of pearl
We would like to thank Dr. S. K. Gupta, Senior Scientist working on pearl millet breeding at
ICRISAT, India for providing seed materials and his guidance related to pearl millet
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Conceptualization: Ambika Dudhate, Shenkui Liu, Tetsuo Takano.
Data curation: Ambika Dudhate, Harshraj Shinde.
Formal analysis: Ambika Dudhate, Harshraj Shinde.
Funding acquisition: Shenkui Liu, Tetsuo Takano.
Investigation: Ambika Dudhate.
Methodology: Ambika Dudhate, Harshraj Shinde.
Project administration: Shenkui Liu.
Resources: Ambika Dudhate, Shenkui Liu.
Software: Ambika Dudhate, Harshraj Shinde.
Supervision: Tetsuo Takano.
Validation: Ambika Dudhate, Harshraj Shinde, Daisuke Tsugama.
Visualization: Ambika Dudhate.
Writing ± original draft: Ambika Dudhate.
Writing ± review & editing: Ambika Dudhate, Daisuke Tsugama, Shenkui Liu.
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