Ontology highlight
ABSTRACT:
PROVIDER: PRJNA814818 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR18306600_1.fastq.gz | Fastqsanger.gz | |||
| SRR18306600_2.fastq.gz | Fastqsanger.gz | |||
| SRR18306601_1.fastq.gz | Fastqsanger.gz | |||
| SRR18306601_2.fastq.gz | Fastqsanger.gz | |||
| SRR18306602_1.fastq.gz | Fastqsanger.gz |
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Similar Datasets
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:The total RNA were extracted from pooled tissues of leaves and flowers from several plants of chickpea (Cicer arietinum) using TRIzol reagent (Invitrogen) according to the manufacturer's instructions. Then small RNAs ranging in 18–30 nucleotides were size fractionated electrophoretically, isolated from the gel, ligated with the 5′ and 3′ RNA adapters. The ligated product was reverse transcribed and subsequently amplified using 10–12 PCR cycles. The purified PCR product was sequenced using Illumina Genome Analyzer II. The qualified reads were used to predict microRNAs and phased small interfering RNAs from chickpea. Identification of microRNAs and phased small inferfering RNAs in chickpea (Cicer arietinum) by analyzing small RNA sequencing profiles of leaves and flowers using Illumina GAII.
2015-05-08 | E-GEOD-62216 | biostudies-arrayexpress
Project description:Chickpea (Cicer arietinum L.) is an important pulse crop grown mainly in the arid and semi-arid regions. Due to its taxonomic proximity with the model legume Medicago truncatula and its ability to grow in arid soil, chickpea has its unique advantage to understand how plant responds to drought stress. This microarray was used for analyze the transcriptomic profiles of unigenes in leaf and root of chickpea seedling under drought stress, respectively. Microarray data showed that 4805 differentially expressed unigenes were either greater than 2 fold up- or less than 0.5 fold down-regulated in at least one of the 5 time points during drought stress. 2003 and 3488 unigenes were time-dependent differentially expressed in root and leaf, respectively. 110 pathways in two tissues were found to respond to drought stress. Compared to control, 88 and 52 unigenes were expressed only in drought-stressed root and leaf, respectively, while nine genes were expressed in both tissues. 2484 function-unknown unigenes were found to be remarkably regulated by drought stress. The expression profiles of these time-dependent differentially expressed unigenes were useful in furthering our knowledge of the drought tolerance mechanism of plant.
2024-11-30 | GSE25705 | GEO
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.
2023-08-23 | PXD027033 | Pride
Project description:Background Drought is the major constraint to increase yield in chickpea (Cicer arietinum). Improving drought tolerance is therefore of outmost importance for breeding. However, the complexity of the trait allowed only marginal progress. A solution to the current stagnation is expected from innovative molecular tools such as transcriptome analyses providing insight into stress-related gene activity and, combined with molecular markers and expression (e)QTL mapping, may accelerate knowledge-based breeding. SuperSAGE, an improved version of the serial analysis of gene expression (SAGE) technique, currently is the most advanced tool for transcriptome analysis. SuperSAGE generates genome-wide, high-quality transcription profiles from any eukaryote. The method produces 26bp long fragments (SuperTags26bp tags) from defined positions in cDNAs, providing sufficient sequence information to unambiguously characterize the mRNAs. Further, SuperSAGE Tags may be immediately used to produce so called SuperTag microarrays and probes for real-time-PCR thereby overcoming the lack of genomic tools in non-model organisms. Results We applied SuperSAGE to the analysis of gene expression in chickpea roots in response to drought. To this end, we sequenced 80,238 26bp SuperTtags representing 17,493 unique transcripts (UniTags) from drought-stressed and non-stressed control roots. A total of 7,532 (43%) UniTags were more than 2.7-fold differentially expressed , and 880 (5.0%) were regulated more than 8-fold upon stress. Their large size enabled the unambiguous annotation of 2,798 (16.3%) UniTags to genes or proteins in public data bases and thus to stress-response processes. We designed a microSuperTag array carrying 3,000 of these SuperTags26bp tags. The chip data confirmed the SuperSAGE results in 79 % of cases whereas RT-PCR confirmed the SuperSAGE data in all cases. Conclusions This study represents the most comprehensive analysis of the drought-response transcriptome of chickpea available to date. It demonstrates that - inter alias - signal transduction, transcription regulation, osmolyte accumulation, chromosome organization, and ROS scavenging undergo strong transcriptional remodelling in chickpea roots already 6h after drought stress. Certain transcript isoforms characterizing these processes are potential targets for breeding for drought tolerance. We demonstrate that these can be easily accessed by micro-arrays and RT-PCR assays readily produced downstream of SuperSAGE. Our study proves that SuperSAGE has a good potential is best suited for molecular breeding also in non-model crops.
2008-09-26 | GSE12812 | GEO
Project description:The total RNA were extracted from pooled tissues of leaves and flowers from several plants of chickpea (Cicer arietinum) using TRIzol reagent (Invitrogen) according to the manufacturer's instructions. Then small RNAs ranging in 18–30 nucleotides were size fractionated electrophoretically, isolated from the gel, ligated with the 5′ and 3′ RNA adapters. The ligated product was reverse transcribed and subsequently amplified using 10–12 PCR cycles. The purified PCR product was sequenced using Illumina Genome Analyzer II. The qualified reads were used to predict microRNAs and phased small interfering RNAs from chickpea.
2015-05-08 | GSE62216 | GEO
Project description:Chickpea (Cicer arietinum) roots Transcriptome
| PRJNA360515 | ENA
Project description:Chickpea (Cicer arietinum L.) seed proteins show a lot of functional properties leading this leg-ume an interesting component for the development of protein-enriched foods. However, both in-depth proteomic investigation and structural characterization of chickpea proteins seed are still lacking. In this paper we report a detailed characterization of chickpea seed protein fraction by means SDS-PAGE, in-gel protein digestion, high-resolution mass spectrometry, and database searching. By this approach twenty SDS gel bands were cut and analysed. While the majority of bands and the identified peptides were related to vicilin and legumin storage proteins, also metabolic functional proteins were detected. Legumins, as expected, were revealed at 45÷65 kDa, as whole subunits with the α- and β-chains linked together by a disulphide bond, but also at lower mass ranges (α- and β-chains migrating alone). Similarly, but not expected, also the vi-cilins were spread along the mass region between 65 and 23 kDa, with some of them identified in several bands. In-depth MS structural characterization allowed to determine that, although chickpea vicilins were always described as proteins lacking of cysteine residues, they contain this amino acid residue. Moreover, similarly to legumins, these storage proteins are firstly syn-thesized as pre-propolypeptides (Mr 50÷80 kDa), that may undergo to proteolytic steps that cut not only the signal peptides but also produce different subunits having lower molecular masses. Overall, about 360 different proteins specific of the Cicer arietinum L. species were identified and characterized, a result that up to date represents the most detailed description of seed’s proteome of this legume.
2024-06-23 | PXD049382 | 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.
2021-12-01 | GSE129110 | GEO