Global gene expression analysis of cotton (Gossypium hirsutum L.) under drought stress in leaf tissue and during fibre development stages.
Ontology highlight
ABSTRACT:
ORGANISM(S): Gossypium raimondii Gossypium arboreum Gossypium hirsutum Gossypium barbadense
PROVIDER: GSE29810 | GEO | 2012/06/04
SECONDARY ACCESSION(S): PRJNA140923
REPOSITORIES: GEO
Similar Datasets
Project description:Transcriptome analysis in cotton during fibre development stages. To study the molecular response of drought stress in cotton under field condition global gene expression analysis was carried out at fibre development stages (0, 5, 10 and 20 dpa/Days post anthesis). Gossypium hirsutum cv. Bikaneri Nerma was used for the gene expression analysis. Cotton plants were subjected to drought stress at peak flowering stage. Samples were collected when the soil moisture content was 19.5% which is 50% of the normal control plots. Gene expression profiles in drought induced and their respective control samples were analyzed using Affymertix cotton Genechip Genome arrays to study the global changes in the expression of genome.
2012-06-04 | GSE29567 | GEO
Project description:Transcriptome analysis in cotton during fibre development stages. To study the molecular response of drought stress in cotton under field condition global gene expression analysis was carried out at fibre development stages (0, 5, 10 and 20 dpa/Days post anthesis). Gossypium hirsutum cv. Bikaneri Nerma was used for the gene expression analysis. Cotton plants were subjected to drought stress at peak flowering stage. Samples were collected when the soil moisture content was 19.5% which is 50% of the normal control plots. Gene expression profiles in drought induced and their respective control samples were analyzed using Affymertix cotton Genechip Genome arrays to study the global changes in the expression of genome. Total RNA was isolated from 0 dpa, 5 dpa, fibre bearing ovules of 10 dpa, and fibre bearing ovules of 20 dpa. Samples were collected from both drought induced and control plants. Biotin labeled cRNA was hybridized on Affymertix cotton Genechip Genome array following the Affymetrix protocols. Three biological replicates were maintained.
2012-06-03 | E-GEOD-29567 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the following subset Series: GSE29566: Global gene expression analysis of cotton (Gossypium hirsutum L.) under drought stress in leaf tissue. GSE29567: Global gene expression analysis of cotton (Gossypium hirsutum L.) under drought stress during fibre development stages. Refer to individual Series
2012-06-03 | E-GEOD-29810 | biostudies-arrayexpress
Project description:Transcriptome analysis in cotton under drought stress. To study the molecular response of drought stress in cotton under field condition global gene expression analysis was carried out in leaf tissue. Gossypium hirsutum cv. Bikaneri Nerma was used for the gene expression analysis. Cotton plants were subjected to drought stress at peak flowering stage. Leaf samples were collected when the soil moisture content was 19.5% which is 50% of the normal control plots. Gene expression profiles in drought induced and their respective control samples were analyzed using Affymertix cotton Genechip Genome arrays to study the global changes in the expression of genome.
2012-06-04 | GSE29566 | GEO
Project description:Transcriptome analysis in cotton under drought stress. To study the molecular response of drought stress in cotton under field condition global gene expression analysis was carried out in leaf tissue. Gossypium hirsutum cv. Bikaneri Nerma was used for the gene expression analysis. Cotton plants were subjected to drought stress at peak flowering stage. Leaf samples were collected when the soil moisture content was 19.5% which is 50% of the normal control plots. Gene expression profiles in drought induced and their respective control samples were analyzed using Affymertix cotton Genechip Genome arrays to study the global changes in the expression of genome. Total RNA was isolated from leaf tissue. Samples were collected from both drought induced and control plants. Biotin labeled cRNA was hybridized on Affymertix cotton Genechip Genome array following the Affymetrix protocols. Three biological replicates were maintained.
2012-06-03 | E-GEOD-29566 | biostudies-arrayexpress
Project description:In this study, the 454 pyrosequencing platform was used for analyzing the comparative transcriptomic profiles of leaf and root tissues of 1-month-old cotton (Gossypium herbaceum) plants under drought stress. A total of 56,354 and 49,308 reads were generated from leaf and root tissues, respectively, and clustered into 6,313 and 5,858 unigenes. The differentially expressed unigenes that showed up-regulation (≥2-fold) or down-regulation (2≤-fold) were considered for further analysis. A total of 3,517 unigenes were differentially expressed in both tissues. The 1,528 genes specific to leaves and 1,128 specific to roots were obtained. The 28 biological pathways in two tissues were found to respond significantly to drought stress. A total of 289 in leaf and 277 in root unknown (novel) unigenes were found to be remarkably regulated by drought stress. Some key regulatory genes involved in abiotic stress such as WRKY, ERF, AP2 EREBP, MYB, and LEA were highly expressed in leaves. The genes RHD3, LBD, and transcription factor WRKY75, known for root development under various stress conditions, were expressed specifically in root. The genes related to chlorophyll a/b binding protein and photosystem-related proteins showed significant higher expression in roots and as compared to leaves. It can be concluded that cotton leaves are distinct from roots in terms of molecular mechanisms for responses to drought stress.
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Project description:Recent researches on long noncoding RNAs (lncRNAs) have expanded our horizon of gene regulation and the cellular complexity. However, the number, characteristics and expression patterns of lncRNAs remain poorly characterized and how these lncRNAs biogenesis are regulated in response to drought stress in cotton are still largely unclear. In the study, using a reproducibility-based RNA-sequencing and bioinformatics strategy to analyze the lncRNAs of 9 samples under three different environment stresses (control, drought stress and re-watering, three replications), we totally identified 10,820 lncRNAs of high-confidence through five strict steps filtration, of which 9,989 were lincRNAs, 153 were inronic lncRNAs, 678 were anti-sense lncRNAs. Coding function analysis showed 6,470 lncRNAs may have the ability to code proteins. Small RNAs precursor analysis revealed that 196 lncRNAs may be the precursors to small RNAs, most of which (35.7%, 70) were miRNAs. Expression patterns analysis showed that most of lncRNAs were expressed at a low level and most inronic lncRNAs (75.95%) had a consistent expression pattern with their adjacent protein-coding genes. Further analysis of transcriptome data uncovered that lncRNAs XLOC_063105 and XLOC_115463 probably function in regulating two adjacent coding genes CotAD_37096 and CotAD_12502, respectively. Investigations of the content of plant hormones and proteomics analysis under drought stress also complemented the prediction. We analyzed the characteristics and the expression patterns of lncRNAs under drought stress and re-watering treatment, and found lncRNAs may be likely to involve in regulating plant hormones pathway in response to drought stress.
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Project description:Drought stress massively restricts plant growth and the yield of crops. Reducing the deleterious effects of drought is necessary for agricultural industry. The plant-specific NAC (NAM, ATAF1/2 and CUC2) transcription factors (TFs) are widely involved in the regulation of plant development and stress response. One of the NAC TF, JUNGBRUNNEN1 (JUB1), has been reported to involve in drought resistance in Arabidopsis. However, little is known of how the JUB1 gene respond to drought stress in cotton. In the present study, we cloned GhJUB1L1, a homologous gene of JUB1 in upland cotton. GhJUB1L1 is preferentially expressed in stem and leaf and could be induced by drought stress. GhJUB1L1 protein localizes to the cell nucleus, and the transcription activation region of which is located in the C-terminal region. Silencing GhJUB1L1 gene via VIGS () reduced cotton drought tolerance, and retarded secondary cell wall (SCW) development. Additionally, the expression of some drought stress-related genes and SCW synthesis-related genes were altered in the GhJUB1L1 silencing plants. Collectively, our findings indicate that GhJUB1L1 may act as a positive regulator in response to drought stress and SCW development in cotton. Our results enriched the roles of NAC TFs in cotton drought tolerance and laid a foundation for the cultivation of transgenic cotton with higher drought tolerance.
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Project description:Key messageQTL for fiber quality traits under salt stress discerned candidate genes controlling fatty acid metabolism. Salinity stress seriously affects plant growth and limits agricultural productivity of crop plants. To dissect the genetic basis of response to salinity stress, a recombinant inbred line population was developed to compare fiber quality in upland cotton (Gossypium hirsutum L.) under salt stress and normal conditions. Based on three datasets of (1) salt stress, (2) normal growth, and (3) the difference value between salt stress and normal conditions, 51, 70, and 53 QTL were mapped, respectively. Three QTL for fiber length (FL) (qFL-Chr1-1, qFL-Chr5-5, and qFL-Chr24-4) were detected under both salt and normal conditions and explained 4.26%, 9.38%, and 3.87% of average phenotypic variation, respectively. Seven genes within intervals of two stable QTL (qFL-Chr1-1 and qFL-Chr5-5) were highly expressed in lines with extreme long fiber. A total of 35 QTL clusters comprised of 107 QTL were located on 18 chromosomes and exhibited pleiotropic effects. Thereinto, two clusters were responsible for improving five fiber quality traits, and 6 influenced FL and fiber strength (FS). The QTL with positive effect for fiber length exhibited active effects on fatty acid synthesis and elongation, but the ones with negative effect played passive roles on fatty acid degradation under salt stress.
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Project description:Cultivated cotton (Gossypium hirsutum) is the most important fibre crop in the world. Cotton leaf curl disease (CLCuD) is the major limiting factor and a threat to textile industry in India and Pakistan. All the local cotton cultivars exhibit moderate to no resistance against CLCuD. In this study, we evaluated an exotic cotton accession Mac7 as a resistance source to CLCuD by challenging it with viruliferous whiteflies and performing qPCR to evaluate the presence/absence and relative titre of CLCuD-associated geminiviruses/betasatellites. The results indicated that replication of pathogenicity determinant betasatellite is significantly attenuated in Mac7 and probably responsible for resistance phenotype. Afterwards, to decipher the genetic basis of CLCuD resistance in Mac7, we performed RNA sequencing on CLCuD-infested Mac7 and validated RNA-Seq data with qPCR on 24 independent genes. We performed co-expression network and pathway analysis for regulation of geminivirus/betasatellite-interacting genes. We identified nine novel modules with 52 hubs of highly connected genes in network topology within the co-expression network. Analysis of these hubs indicated the differential regulation of auxin stimulus and cellular localization pathways in response to CLCuD. We also analysed the differential regulation of geminivirus/betasatellite-interacting genes in Mac7. We further performed the functional validation of selected candidate genes via virus-induced gene silencing (VIGS). Finally, we evaluated the genomic context of resistance responsive genes and found that these genes are not specific to A or D sub-genomes of G. hirsutum. These results have important implications in understanding CLCuD resistance mechanism and developing a durable resistance in cultivated cotton.
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