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PROVIDER: PRJNA1084215 | ENA |
REPOSITORIES: ENA
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Project description:Through genome-wide comparative transcriptome analysis of 63 samples, the current study identified nine key genes and pathways associated with biological process of yield heterosis in upland cotton. Our results and data resources provide novel insights and will be useful for dissecting the molecular mechanism of yield heterosis in cotton.
2020-05-08 | GSE150052 | GEO
Project description:Comparative transcriptome profiles of cotton (G. hirsutum L. cv. Bikaneri narma) during boll development stages (0, 2, 5 and 10 dpa) under bollworm infested biotic stress. Cotton is one of the most commercially important fibre crops in the world and used as a source for natural textile fibre and cottonseed oil. The biotic stress is one of the major constraints for crop production. Cotton bollworm (Helicoverpa armigera) is one the major insect pest in cotton and drastically damages the cotton boll. To decipher the molecular mechanisms involved in cotton boll/fibre cell development, transcriptome analysis has been carried out by comparing G. hirsutum L cv. Bikaneri narma cotton boll samples induced by biotic stress (bollworm infested) and that their respective control cotton bolls collected under field conditions. Cotton bolls were collected at fibre initiation (0, 2 dpa/days post anthesis) and elongation (5, 10 dpa) stages for both control and biotic stress condition and gene expression profiles were analyzed by Affymetrix cotton GeneChip Genome array.
2015-03-01 | GSE55511 | GEO
Project description:Purpose:Identification of genes and miRNAs responsible for salt tolerance in upland cotton (Gossypium hirsutum L.) would help reveal the molecular mechanisms of salt tolerance. We performed physiological experiments and transcriptome sequencing (mRNA-seq and small RNA-seq) of cotton leaves under salt stress using Illumina sequencing technology. And quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis Methods:We investigated two distinct salt stress phases—dehydration (4 h) and ionic stress (osmotic restoration; 24 h)—that were identified by physiological changes of 14-day-old seedlings of two cotton genotypes, one salt tolerant and the other salt sensitive, during a 72-h NaCl exposure. A comparative transcriptomics approach was used to monitor gene and miRNA differential expression at two time points (4 and 24 h) in leaves of the two cotton genotypes under salinity conditions. Results:During a 24-h salt exposure, 819 transcription factor unigenes were differentially expressed in both genotypes, with 129 unigenes specifically expressed in the salt-tolerant genotype. Under salt stress, 108 conserved miRNAs from known families were differentially expressed at two time points in the salt-tolerant genotype. Conclusions:Our comprehensive transcriptome analysis has provided new insights into salt-stress response of upland cotton. The results should contribute to the development of genetically modified cotton with salt tolerance.
2017-06-18 | GSE58655 | GEO
Project description:We constructed cDNA library from 0-10 day post anthesis cotton fibers when fiber cells begin to initiate and elongate throughout this peroid. We randomly sequenced over 95,000 ESTs from this library, and with request of upland cotton ESTs from other laboratories, we acquired a gene pool of more than 30,000 UniESTs. The cotton UniESTs were then PCR-amplified and printed onto microarray. This array is comprised of about 29,000 high-quality cotton cDNAs (each sequence length>400bp, average length > 600bp) and external controls. Keywords: repeat samples for transcriptome analysis
2008-04-01 | GSE8443 | GEO
Project description:To gain insight into the functions of salt-regulated miRNAs, target genes were identified through degradome sequencing approach. Three cotton RNA libraries were constructed and sequenced under normal consideration, osmotic and ionic stress. A total of 73,988,644 reads represented by 3,254,054 unique reads from the 5’ ends of uncapped and poly-adenylated RNAs were obtained. The PairFinder software was used to identify the sliced targets for the known miRNAs and novel miRNAs. These sequences were further compared with transcriptome sequencing data of G. arboretum and G. raimondii. We obtained the data from (Cotton Genome Project, http://cgp.genomics.org.cn/page/species/index.jsp).Based on degradome sequencing, 31 target genes were identified for 20 cotton miRNA families. The abundance of transcripts was plotted for each transcript. Conserved miRNAs target conserved homologous genes in diverse plant species.
2016-06-11 | GSE69820 | GEO
Project description:To examine expression of miRNAs in cotton fiber development, we employed miRNA microarrays and compared miRNA accumulation level in cotton fibers, cotton leaves and mutant fibers.
2009-12-31 | GSE16986 | GEO
Project description:Purpose: Identification and characterization of thermotolerance candidate genes during early seedling stage by comparative transcriptome analysis. We performed transcriptome sequencing (mRNA-seq) of cotton leaves under high temprature stress using Illumina sequencing technology. And quantitative reverse transcription polymerase chain reaction (qRTâPCR) methods and to evaluate protocols for optimal high-throughput data analysis Methods: A comparative transcriptomics approach was used to monitor gene differential expression at two time points (4 and 8 h) in leaves of the two cotton genotypes under high temprature conditions. Results: During a 8-h salt exposure,among 9,777 differentially expressed unigenes (DEUs) were identified during at least one time point, 7,296 DEUs representing different classes of protein kinases, transcription factors, and heat shock proteins as well as downstream thermotolerance-related genes are reported. Gene ontology enrichment and biochemical pathway analyses showed these DEUs were mainly related to carbohydrate metabolism, secondary metabolites, and plant hormone signalling. Conclusions: Our findings offer high efficiency technique for early charactering thermotolerance in cotton and provide the information for the candidate genes to improve thermotolerance of cotton cultivars. Leaf mRNA profiles of 20-day-old seedlings of two cotton genotypes, one heat tolerant and the other heat sensitive during a 8-h high-temperature exposure were generated by deep sequencing, using Illumina HiSeq 2000 system.
2016-06-30 | E-GEOD-70205 | biostudies-arrayexpress
Project description:Cotton (Gossypium hirsutum) is widely distributed worldwide, and improving the quality of its fiber is one of the most important tasks in cotton breeding. Cotton fibers are primarily composed of cellulose, which is synthesized and regulated by cellulose synthase (CesAs). However, the molecular mechanism of CesA genes in cotton is unclear. In this study, the cotton transcriptome and metabolome were used to investigate the significant function of CesA genes in fiber development. Finally, 321 metabolites were obtained, 84 of which were associated with the corresponding genes. Interestingly, a target gene named Gh_A08G144300, one of the CesA gene family members, was closely correlated with the development of cotton fibers. Then, identification and functional analysis were conducted. The target CesA gene Gh_A08G144300 was selected and analysed to determine its specific function in cotton fiber development. High-level gene expression of Gh_A08G144300 was found at different fiber development stages by RNA-seq analysis, and the silencing of Gh_A08G144300 visibly inhibited the growth of cotton fibers, showing that it is critical for their growth. This study provides an important reference for research on the gene function of Gh_A08G144300 and the regulatory mechanism of fiber development in cotton.
2023-08-28 | GSE182982 | 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.
2012-06-04 | GSE29566 | GEO