Gene expression profiling of drought-sensitive (ICC1882) and tolerant (ICC4958) chickpea genotypes
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ABSTRACT:
PROVIDER: PRJNA794734 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR17443474.fastq.gz | Fastqsanger.gz | |||
| SRR17443475.fastq.gz | Fastqsanger.gz | |||
| SRR17443476.fastq.gz | Fastqsanger.gz | |||
| SRR17443477.fastq.gz | Fastqsanger.gz | |||
| SRR17443478.fastq.gz | Fastqsanger.gz |
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Project description:We generated the global transcriptome profile of the two chickpea genotypes under control and drought conditions. Approximately 12 million high-quality reads were obtained for each cultivar and different conditions using the Illumina platform. Reference-based assembly was generated for each cultivar and condition. Differentially expressed genes were identified between drought and control conditions for each cultivar.
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Project description:Drought tolerance is a key trait for increasing and stabilizing barley productivity in dry areas worldwide. Identification of the genes responsible for drought tolerance in barley (Hordeum vulgare L.) will facilitate understanding of the molecular mechanisms of drought tolerance, and also genetic improvement of barley through marker-assisted selection or gene transformation. To monitor the changes in gene expression at transcription levels in barley leaves during the reproductive stage under drought conditions, the 22K Affymetrix Barley 1 microarray was used to screen two drought-tolerant barley genotypes, Martin and Hordeum spontaneum 41-1 (HS41-1), and one drought-sensitive genotype Moroc9-75. Seventeen genes were expressed exclusively in the two drought-tolerant genotypes under drought stress, and their encoded proteins may play significant roles in enhancing drought tolerance through controlling stomatal closure via carbon metabolism (NADP malic enzyme (NADP-ME) and pyruvate dehydrogenase (PDH), synthesizing the osmoprotectant glycine-betaine (C-4 sterol methyl oxidase (CSMO), generating protectants against reactive-oxygen-species scavenging (aldehyde dehydrogenase (ALDH), ascorbate-dependant oxidoreductase (ADOR), and stabilizing membranes and proteins (heat-shock protein 17.8 (HSP17.8) and dehydrin 3 (DHN3). Moreover, 17 genes were abundantly expressed in Martin and HS41-1 compared with Moroc9-75 under both drought and control conditions. These genes were likely constitutively expressed in drought-tolerant genotypes. Among them, 7 known annotated genes might enhance drought tolerance through signaling (such as calcium-dependent protein kinase (CDPK) and membrane steroid binding protein (MSBP), anti-senescence (G2 pea dark accumulated protein GDA2) and detoxification (glutathione S-transferase (GST) pathways. In addition, 18 genes, including those encoding Δl-pyrroline-5-carboxylate synthetase (P5CS), protein phosphatase 2C-like protein (PP2C) and several chaperones, were differentially expressed in all genotypes under drought; thus, they were more likely general drought-responsive genes in barley. These results could provide new insights into further understanding of drought-tolerance mechanisms in barley.
2009-05-13 | GSE15970 | GEO
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:To understand the drought responsive mechanisms and the harmful effects of stress, it is necessary to develop drought tolerant genotype. In this study, drought-sensitive and -tolerant fennel genotypes were selected. Using these materials, a gel-free/label-free proteomic technique was performed to identify responsive proteins in fennel leaf under drought stress
2017-09-11 | PXD006040 | Pride
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:Purpose: The goals of this study are to understand transcriptional changes in the roots of drought-tolerant and sensitive sesame genotypes using PEG (Polyethylene glycol) induced osmotic stress.
2020-07-02 | GSE148340 | GEO
Project description:Drought tolerance is a key trait for increasing and stabilizing barley productivity in dry areas worldwide. Identification of the genes responsible for drought tolerance in barley (Hordeum vulgare L.) will facilitate understanding of the molecular mechanisms of drought tolerance, and also genetic improvement of barley through marker-assisted selection or gene transformation. To monitor the changes in gene expression at transcription levels in barley leaves during the reproductive stage under drought conditions, the 22K Affymetrix Barley 1 microarray was used to screen two drought-tolerant barley genotypes, Martin and Hordeum spontaneum 41-1 (HS41-1), and one drought-sensitive genotype Moroc9-75. Seventeen genes were expressed exclusively in the two drought-tolerant genotypes under drought stress, and their encoded proteins may play significant roles in enhancing drought tolerance through controlling stomatal closure via carbon metabolism (NADP malic enzyme (NADP-ME) and pyruvate dehydrogenase (PDH), synthesizing the osmoprotectant glycine-betaine (C-4 sterol methyl oxidase (CSMO), generating protectants against reactive-oxygen-species scavenging (aldehyde dehydrogenase (ALDH), ascorbate-dependant oxidoreductase (ADOR), and stabilizing membranes and proteins (heat-shock protein 17.8 (HSP17.8) and dehydrin 3 (DHN3). Moreover, 17 genes were abundantly expressed in Martin and HS41-1 compared with Moroc9-75 under both drought and control conditions. These genes were likely constitutively expressed in drought-tolerant genotypes. Among them, 7 known annotated genes might enhance drought tolerance through signaling (such as calcium-dependent protein kinase (CDPK) and membrane steroid binding protein (MSBP), anti-senescence (G2 pea dark accumulated protein GDA2) and detoxification (glutathione S-transferase (GST) pathways. In addition, 18 genes, including those encoding Δl-pyrroline-5-carboxylate synthetase (P5CS), protein phosphatase 2C-like protein (PP2C) and several chaperones, were differentially expressed in all genotypes under drought; thus, they were more likely general drought-responsive genes in barley. These results could provide new insights into further understanding of drought-tolerance mechanisms in barley. Seven flag leaves of a replication for each genotype were harvested at 0 d, 1 d, 3 d and 5 d after reach 10% of AWC in the soil to constitute a single biological replicate. These flag leaves were employed for RNA isolation by using Trizol reagent following the manufacturer’s protocol (Invitrogen, Karlsruhe, Germany). The RNA was further purified using RNeasy Kit (Qiagen, Hilden, Germany). RNA yield and quality were determined by using an Agilent 2100 Bioanalyzer (Agilent Techologies, Boblingen, Germany). A table of the average, log2 RMA signal intensity values of three biological replicates for each Sample is linked below as a supplementary file.
2009-05-13 | E-GEOD-15970 | biostudies-arrayexpress
Project description:In this study, we aim to present a global view of transcriptome dynamics during drought stress in different chickpea genotypes. We generated about 800 million high-quality reads from 14 libraries (control and stress samples for two chickpea genotypes for drought stress at two developmental stages) using Illumina high-throughput sequencing platform. We mapped the reads to the kabuli chickpea genome for estimation of their transcript abundance in different tissue samples. The transcriptome dynamics was studied by differential gene expression analyses between stress treatment and control sample for each genotype.
2016-07-08 | GSE70274 | GEO
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 accessions tolerant and susceptible to drought stress. Two groups of a tolerant and susceptible accession were challenged with drought stress. 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 and flower/bud 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 and flower tissues separate) 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. The analysis consisted of three fold comparison. Firstly, the ESTs that were differentially expressed between treatment and control plants of each accession were detected. Then the ESTs that were similarly expressed by tolerant and susceptible accessions were then eliminated by comparison. This included a two-way comparison, where tolerant and susceptible genotypes were compared within and between groups. Lastly, ESTs that were consensually differentially expressed between tolerant and susceptible accessions of the two batches were identified. The hypothesis was that if a putative gene was consistently expressed only in tolerant or susceptible genotype for a particular stress, it might be a candidate for tolerance/susceptibility for that stress. Globally, the level of 114 transcripts was affected in response to drought stress in all the genotypes and tissue types studied. The DE transcripts in response to drought stress coded for various functional and regulatory proteins, most of which were repressed. Protein and other solute transport was repressed in susceptible-1 flowers but induced in tolerant-2 flowers, as evidenced by the induction of a protein-transport facilitation protein (DY475074) in flowers of tolerant-2 and repression of a aquaporin-like membrane channel protein (DY396334) and DNA-J like protein involved in intracellular protein transport (DY475488) in flowers of susceptible-1. Two putative auxin-repressed proteins (DY396289, DY396359) were highly repressed in flowers and leaves of tolerant-2, whilst being induced in flowers and leaves of susceptible-1. Defence-related genes including pathogenesis-related proteins (DY396305 and DY396343), nematode-resistance protein (CV793603), Cf-9 gene cluster (DY396352) and disease resistance response proteins (DY396265 and DY396276) were repressed in flowers of tolerant and susceptible genotypes. A Pea (pi230) disease resistance response protein (DY396390) and a multi-resistance protein ABC transporter (CV793605) were induced in flowers of both tolerant genotypes. Some genes involved in energy metabolism (DY396279 and DY475316) were repressed in leaves and flowers of tolerant and susceptible genotypes. Additionally, some transcripts related to senescence, including auxin responsive protein IAA9 (DY396315), senescence-associated protein DIN 1 (DY396338), and dehydration stress-induced protein (DY396321) were repressed in leaves and flowers of the tolerant genotypes. Of the 114 DE transcripts expressed in drought tolerant and susceptible genotypes, only two were consistently expressed. These included a cytosolic fructose 1,6-bisphosphatase (DY475548) and a gene with unknown function, which were repressed in flowers of both susceptible genotypes. Keywords: Chickpea, Drought stress, Tolerant, Susceptible, cDNA microarray
2007-04-03 | GSE7416 | 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.
2023-07-20 | PXD041434 | Pride