Transcriptional profiling of chickpea genes differentially expressed in response to drought stress using high density oligonucleotide microarray
Ontology highlight
ABSTRACT:
ORGANISM(S): Cicer arietinum
PROVIDER: GSE25705 | GEO | 2024/11/30
REPOSITORIES: GEO
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Project description:Drought is one of the major constraints for crop productivity across the globe. Chickpea (Cicer arietinum L.) is mainly cultivated in the arid and semi-arid tropical regions under rain-fed conditions and drought stress is one of the major constraints, which causes up to 50% yield losses annually. In this study, transcriptomics, proteomics and metabolomics datasets from root tissues of contrasting drought responsive chickpea genotypes, ICC 4958 (drought-tolerant), JG 11 (drought-tolerant); an introgression line, JG 11+ (drought-tolerant) and ICC 1882, (drought-sensitive) under control and stress conditions were generated. The integrated analysis of these multi-omics data revealed complex molecular mechanism underlying drought stress response in chickpea. Transcriptomics integrated with proteomics data identified enhancement of hub proteins encoding isoflavone 4’-O-methyltransferase (Ca_06356), UDP-D-glucose/UDP-D-Galactose 4-epimerase (Ca_15037) and delta-1-pyrroline-5-carboxylate synthesis (Ca_24241). These proteins highlighted the involvement of critical pathways such as antibiotic biosynthesis, galactose metabolism and isoflavonoid biosynthesis in activating drought stress response mechanism. Subsequently, integration of metabolomics data identified six key metabolites (fructose, galactose, glucose, myo-inositol, galactinol and raffinose) that showed enhanced correlation with galactose metabolism. Further, integration of root -omics data together with genomic dataset of the “QTL-hotspot” region harbouring several drought tolerance related traits revealed involvement of candidate genes encoding aldo keto reductase family oxidoreductase (Ca_04551) and leucine rich repeat extensin 2 (Ca_04564). These results from integrated multi-omics approach provided a comprehensive understanding and new insights into the drought stress response mechanism of chickpea.
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Project description:Chickpea (Cicer arietinum) is the third largest legume grown worldwide and are prone to drought and various pathogen infections. These stresses often occur concurrently in the field conditions. Previous studies in other plant species indicated that plant senses concurrently occurring stresses as new state of stress however, the molecular events in response to that is largely unknown. In the present study, we studied the transcriptome changes in chickpea plants exposed to combination of drought stress and a potential wilt pathogen, Ralstonia solanacearum by microarray analysis. Chickpea plants were exposed to short duration individual drought (SD-drought, soil field capacity, FC-35%), long duration individual drought (LD-drought, FC-30%), short duration individual pathogen stress (SD-pathogen = 2 days pathogen infection), long duration individual pathogen stress (LD-pathogen = 4 days of infection) and short duration and long duration combined stress, SD-combined = 2 days of pathogen infection with progressive drought (FC-40% to FC- 35%), LD combined = 4 days of pathogen infection with progressive drought (FC-35% to 30%).Transcriptome analysis for the leaf samples from above treatment were done by microarray analysis using Agilent ChickpeaGXP_8X60K chip. Result indicated presence of specific molecular events and also some common but tailored events in response to combined stress. Global transcriptional analysis in chickpea leaves exposed to individual and combined drought stress and Ralstonia solanacearum infection.
2017-06-13 | GSE89228 | GEO
Project description:This study was aimed to deal with a comparative proteome analysis of the two chickpea genotypes with contrasting response to drought stress, ICC 4958 (drought-tolerant, DT) and ICC 1882 (drought-sensitive, DS). Proteins were extracted from the root tissues collected from the control and drought stressed plants of both the genotypes. NanoLC-MS/MS analysis of the protein sample was performed using EASY-nLC 1000 system for the separation and identification of peptides/proteins. This study provided a mechanistic insight of drought stress tolerance in chickpea.
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Project description:Drought stress is one of the main environmental factors that affects growth and productivity of crop plants, including lentil. To gain insights into the genome-wide transcriptional regulation in lentil root and leaf under short- and long-term drought conditions, we performed RNA-seq on a drought-sensitive lentil cultivar (Lens culinaris Medik. cv. Sultan). After establishing drought conditions, lentil samples were subjected to de novo RNA-seq-based transcriptome analysis. The 207,076 gene transcripts were successfully constructed by de novo assembly from the sequences obtained from root, leaf, and stems. Differentially expressed gene (DEG) analysis on these transcripts indicated that period of drought stress had a greater impact on the transcriptional regulation in lentil root. The numbers of DEGs were 2915 under short-term drought stress while the numbers of DEGs were increased to 18,327 under long-term drought stress condition in the root. Further, Gene Ontology analysis revealed that the following biological processes were differentially regulated in response to long-term drought stress: protein phosphorylation, embryo development seed dormancy, DNA replication, and maintenance of root meristem identity. Additionally, DEGs, which play a role in circadian rhythm and photoreception, were downregulated suggesting that drought stress has a negative effect on the internal oscillators which may have detrimental consequences on plant growth and survival. Collectively, this study provides a detailed comparative transcriptome response of drought-sensitive lentil strain under short- and long-term drought conditions in root and leaf. Our finding suggests that not only the regulation of genes in leaves is important but also genes regulated in roots are important and need to be considered for improving drought tolerance in lentil.
2019-04-19 | GSE115199 | GEO
Project description:The drought stress is one of key adverse environmental factors limiting plant growth and development, even threating global crop productivity in many arid and semi-arid regions. Drought stress usually causes huge economic losses for tobacco industries. Understanding how plants respond and adapt to the drought stress helps generate engineered plants with enhanced drought resistance. In this study, integrative analyses of multiple time point-related transcriptome and metabolome generated from K326 and its derived mutant 28 (M28) with contrasting drought tolerance. We found that dramatic changes of gene expression profiles between M28 and K326 before and after drought treatment.
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Project description:Cotton (Gossypium hirsutum L.) is one of the most important cash crops worldwide. In semi-arid/arid regions, drought stress causes growth limitation and decrease of yield. Of all the organs of a plant, fine root is the central part consisting of the root system to contribute to plant water and nutrient taken up. However, the research on the molecular mechanism underlying fine root response to soil drought has not been well understood in cotton. To better characterize the proteomic changes of cotton fine roots under drought stress, 70±5% and 40±5% soil relative water content were designed as control (CK) and drought stress (DS) groups, respectively. Tandem mass tags (TMT) technology was used to determine the proteome profiles in fine roots. The proteomic differences between CK and DS were pairwise compared at 0, 30, and 45 days after drought stress (DAD). A total of 11,628 proteins were identified, of which 10,344 proteins contained quantitative information. According to the morphological, physiological, and biochemical characteristics, 30 and 45 DAD were selected as critical stages for further analysis. Results showed that 118 differentially expressed proteins (DEPs) were up-regulated and 105 down-regulated in DS 30 versus CK 30; 662 DEPs were up-regulated, and 611 were down-regulated in DS 45 versus CK 45. The DEP functions were determined for their classified pathways, mainly associated with carbohydrate metabolism, energy metabolism, fatty acid metabolism, amino acid metabolism, and secondary metabolite biosynthesis. DEPs related to phytohormone and stress/defense response were also identified. To verify the accuracy of the TMT results, 20 DEPs were randomly selected for parallel reaction monitoring (PRM) verification. And results showed that the quantitative results of TMT are consistent with those of PRM, which proved that the TMT results of this study are reliable. In this article we describe changes in the protein profiles occurring in response to drought stress in cotton fine roots. Proteomic analyses of plant responses to stressors could lead to the introduction of cotton cultivars with high resistance to drought stress. Such plants would be valuable for high yielding under drought as well as other unfavorable environmental conditions.
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Project description:In order to identify genes and pathways involved in drought tolerance, RNA was isolated from control and 15-days drought-stressed chickpea plants. Two chickpea genotypes, Desi PI598080 (“D”) and Kabuli Flip07 318C (“K”), respectively sensitive and tolerant to drought stresses were used. The 12 extracted RNAs (2 genotypes x 2 water regimes x 3 biological replicates) were sequenced, and the transcriptomic changes between the genotypes and water conditions were analysed. The genotype with higher drought sensitivity showed a generally higher change of gene transcripts than the genotype with less sensitivity, upregulating genes involved in photophosphorylation process (transferases, oxygen lyases and oxidoreductases), hormones (brassinosteroids, abscissic acid and gibberellin response), solute transporters, nutrient uptake and cell wall properties (cellulose synthases, hemicellulose synthases, poligalacturonases, pectate lyases). These results will be helpful for further studies aiming at identifying genes and molecular markers to develop chickpea cultivars resilient to water stress.
2023-09-03 | E-MTAB-13037 | biostudies-arrayexpress
Project description:In this study, to obtain a clear picture of drought mechanism involved in two distinctive chickpea genotype, the aim was to identify the DNA methylation patterns which potentially regulate drought tolerance/sensitivity of these selected genotypes. The leaf tissues from the shoot apical meristem from drought sensitive and drought tolerant genotypes were used for RRBS (Reduced representation bisulphite sequencing) under drought stress. The sequencing data was analysed using Bismark and methylkit to recall the methylation levels in control and samples for both genotypes and identify differentially methylated regions.
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Project description:‘Pulsechip’, a boutique cDNA microarray, generated from a set of chickpea (Cicer arietinum L.) unigenes, grasspea (Lathyrus sativus L.) ESTs and lentil (Lens culinaris Med.) resistance gene analogs, was employed to generate an expression profile of chickpea genotype ICC 3996 to drought, cold and high-salinity stresses. The experiments were performed in three biological replications. The experiments were conducted in reference design where respective tissues from unstressed plants served as control. The leaf/shoot, flower/pod and/or root tissues were collected and used for hybridization to measure changes in RNA abundance of treatment vs. control. The tissues from five experimental replicate plants per biological replication were pooled together (leaf/flower/root tissues pooled separately) before RNA extraction. This RNA was used to prepare cDNA targets for expression analysis using microarray. The microarray had six technical replicate spots per EST. The transcript level for each EST/cDNA was firstly calculated as the average intensity of the six technical replicates and then the average intensity of three biological replicates. Data analysis included LOWESS normalization (LOcally WEighted polynomial regreSSion) to adjust for differences in quantity of initial RNA, labeling and detection efficiencies. A dye swap in one biological replicate adjusted dye bias, if any. The Differentially Expressed (DE) ESTs were identified as those with a 95% confidence interval for mean fold change (FC) that extended beyond the two-fold cut-off and also passed the Students t test (P<0.05) and FDR correction. These cut-offs translate into induced ESTs having a log2 ratio > 1 and repressed ESTs a ratio of < -1. Overall, 46, 54 and 266 ESTs were identified as DE under drought, cold, and high-salinity stresses, respectively. The important ones DE in response to drought stress include induction of transcripts associated with dehydrin-cognate, lipid-transfer protein precursor, and glutamate-hydrolysing asparagine synthetase, whilst repression of transcripts associated with senescence, photosynthesis/energy metabolism, auxin-repressed protein, starch metabolism, AP2/EREBP1 DNA binding domain, putative ARF1 GTPase activating protein, and histidine-containing phosphotransfer protein ATHP3. The interesting transcripts DE in response to cold-stress included induction of phosphate-induced protein, cationic peroxidase, UDP-glucose 4-epimerase, Avr9/Cf9 rapidly elicited protein, DNA-J like protein involved in intracellular protein transport, and protein kinase, whist repression of transcripts associated with a hypothetical transmembrane protein, membrane related protein CP5, lipid-transfer protein precursor, WD repeat protein and several transcripts associated with cellular metabolism, cell cycle and DNA processing, protein synthesis and photosynthesis/energy metabolism. Under high-salinity stress, several transcripts were DE only in roots at 24 hpt but DE in shoots or both, shoots and roots at 48 hpt, relating to the theory of upward movement of salt to shoots at later stages when roots fail to restrict it (Munns et al., 2002). The important transcripts DE in response to high-salinity stress included induction of aluminum-induced protein, auxin-repressed proteins, metallothionein-like protein, glutamate dehydrogenase, sucrose synthase, UDP-glucose 4-epimerase, xylose isomerase, class 10 pathogenesis related protein, disease resistance protein, SNAKIN 2 antimicrobial peptide, and DNA-J like protein involved in intra-cellular protein transport. Whilst high-salinity stress caused the repression of transcripts associated with cell rescue/death, cell cycle/DNA processing, cellular metabolism, photosynthesis/energy metabolism, and transport facilitation. Several of the above transcripts have been previously implicated to be associated with abiotic stress response in other crops. Hence, the study of more genotypes and transcriptional changes at several time points may provide a better picture of involvement of the genes being interrogated here in drought tolerance/susceptibility. Subsequently, the functionality of candidate tolerance genes detected through this approach could be validated by overexpressing the genes through transgenics or silencing them using knockout-mutants/antisense/RNAi. Keywords: abiotic stress response, drought, cold, high-salinity, chickpea
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