Gossypium hirsutum strain:upland cotton
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA670627 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR13083112_1.fastq.gz | Fastqsanger.gz | |||
| SRR13083112_2.fastq.gz | Fastqsanger.gz | |||
| SRR13083113_1.fastq.gz | Fastqsanger.gz | |||
| SRR13083113_2.fastq.gz | Fastqsanger.gz | |||
| SRR13083114_1.fastq.gz | Fastqsanger.gz |
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Similar Datasets
Project description:Gossypium hirsutum cultivar:355 upland cotton accessions Raw sequence reads
| PRJNA314284 | ENA
Project description:As an initial step to explore the cotton (Gossypium hirsutum L.) root transcriptional response to the southern Root-Knot Nematode (RKN) Meloidogyne incognita infestation, conventional heirloom G. hirsutum (Gh) cultivars [susceptible Acala SJ-2 (SJ2), moderately resistant Upland Wild Mexico Jack Jones (WMJJ), and resistant Acala NemX] that have been shown to be useful as an informative genetic model for detecting and introgressing RKN resistance genes into commercial Upland cotton were used to enlighten the molecular mechanisms and gene expression of RKN resistance. Using the next generation sequencing (NGS) Illumina MiSeq and HiSeq, we performed RNA-seq profiling in roots with disease progression of 10 days and collected from 23 days old plants of SJ2, WMJJ, and NemX. With three biological replicates of each treatment from each cultivar, plants were subjected to RKN-infestation and non-infested control developing a total of 18 RNA-seq libraries
2022-04-01 | GSE190503 | GEO
Project description:High temperature (HT) stress is a major environmental stress that limits cotton growth, metabolism, and yield worldwide. The identification and characterization of thermotolerance is restricted by the plant growth environment and growth stage. In this study, four genotypes of upland cotton (Gossypium hirsutum L.) with known field thermotolerance were evaluated under normal and HTs at the seedlings stage in a growth cabinet with 11 physiological, biochemical, and phenotypic assays. Consistent with previous field observations, the thermotolerance could be identified by genotype differences at the seedling stage under HT in a growth cabinet. Comparative transcriptome analysis was performed on seedlings of two contrasting cotton genotypes after 4 and 8 hours of HT exposure. Gene ontology analysis combined with BLAST annotations revealed a large number of HT-induced differentially expressed genes (4,698) that either exhibited higher expression levels in the heat-tolerant genotype (Nan Dan Ba Di Da Hua) compared with the heat-sensitive genotype (Earlistaple 7), or were differentially expressed only in Nan Dan Ba Di Da Hua. These genes encoded mainly protein kinases, transcription factors, and heat shock proteins, which were considered to play key roles in thermotolerance in upland cotton. Two heat shock transcription factor genes (homologs of AtHsfA3, AtHsfC1) and AP2/EREBP family genes (homologs of AtERF20, AtERF026, AtERF053, and AtERF113) were identified as possible key regulators of thermotolerance in cotton. Some of the differentially expressed genes were validated by quantitative real-time PCR analysis. Our findings provide candidate genes that could be used to improve thermotolerance in cotton cultivars.
2016-06-30 | GSE70205 | GEO
Project description:Purpose: The goal of this experiment was to use RNA-seq to compare the two commercial cotton species Gossypium hirsutum and Gossypium barbadense and determine what transcripts may account for the better fiber quality in the latter. Methods: RNA was extracted from Gossypium barbadense or Gossypium hirsutum fibers at 10, 15, 18, 21, and 28 days post anthesis. Paired-end, 100-bp RNA-seq was performed on an Illumina HiSeq2000 and the reads were mapped to the Gossypium raimondii genome at www.phytozome.net and non-homologous contig assemblies from Gossypium arboreum. Results from RNA-seq were combined with non-targeted metabolomics. Results: Approximately 38,000 transcripts were expressed (RPKM>2) in each fiber type and approximately 2,000 of these transcripts were differentially expressed in a cross-species comparison at each timepoint. Enriched Gene Ontology biological processes in differentially expressed transcripts suggested that Gh fibers were more stressed. Conclusions: Both metabolomic and transcriptomic data suggest that better mechanisms for managing reactive oxygen species contribute to the increased fiber length in Gossypium barbadense. This appears to result from enhanced ascorbate biosynthesis via gulono-1,4-lactone oxidase and ascorbate recycling via dehydroascorbate reductase. See Bioproject PRJNA263926 and SRA accession SRP049330 for study design and raw sequencing data and Bioproject PRJNA269608 and TSA accession GBYK00000000 for Gossypium arboreum assembled contig sequences used for transcriptome mapping - Cotton fiber mRNA from 10,15,18,21 and 28 day post anthesis fiber from either Gossypium hirusutm or Gossypium barbadense was sequenced and differential gene expression analysis was conducted between species for each timepoint and between adjacent timepoints. Each timepoint was representative of fiber from 9 individual plants processed as 3 biological replicate pools (material from 3 individual plants per pool).
2015-06-26 | E-GEOD-64958 | biostudies-arrayexpress
Project description:Purpose: The goal of this experiment was to use RNA-seq to compare the two commercial cotton species Gossypium hirsutum and Gossypium barbadense and determine what transcripts may account for the better fiber quality in the latter. Methods: RNA was extracted from Gossypium barbadense or Gossypium hirsutum fibers at 10, 15, 18, 21, and 28 days post anthesis. Paired-end, 100-bp RNA-seq was performed on an Illumina HiSeq2000 and the reads were mapped to the Gossypium raimondii genome at www.phytozome.net and non-homologous contig assemblies from Gossypium arboreum. Results from RNA-seq were combined with non-targeted metabolomics. Results: Approximately 38,000 transcripts were expressed (RPKM>2) in each fiber type and approximately 2,000 of these transcripts were differentially expressed in a cross-species comparison at each timepoint. Enriched Gene Ontology biological processes in differentially expressed transcripts suggested that Gh fibers were more stressed. Conclusions: Both metabolomic and transcriptomic data suggest that better mechanisms for managing reactive oxygen species contribute to the increased fiber length in Gossypium barbadense. This appears to result from enhanced ascorbate biosynthesis via gulono-1,4-lactone oxidase and ascorbate recycling via dehydroascorbate reductase.
2015-06-26 | GSE64958 | GEO
Project description:Sea-island cotton (Gossypium barbadense L.) has superior fiber quality properties such as length, fineness and strength, while Upland cotton (Gossypium hirsutum L.) is characterized by high yield. To reveal features of Upland cotton and Sea-island cotton fiber cells, differential genes expression profiles during fiber cell elongation and in secondary wall deposits were established using cDNA microarray technology. This research provides a valuable genomic resource to deepen our understanding of the molecular mechanisms of cotton fiber development, and may ultimately lead to improvements in cotton fiber quality and yield.
2012-05-24 | GSE18028 | GEO
Project description:We explored the transcriptomic alterations associated with domestication by interrogating a developmental time course of cotton fibers from the wild G. hirsutum var. yucatanense and a representative of an elite domesticated line.
2010-12-22 | GSE23517 | GEO
Project description:affy_cotton_2011_12 - affy_cotton_2011_12 - In this study we characterized the fiber transcriptomes of the two species, Gossypium hirsutum and Gossypium barbadense that were parental genotypes of a RIL mapping population used previously for phenotypic QTL and expression QTL mapping., We used 454 deep pyrosequencing to characterize cDNAs from developing fibers at two key developmental time-points; 10 and 22 days post anthesis. A unigene set was assembled and annotated, and differential digital gene expression was assessed from the different time-point and genotype representations of the reads within assembled contigs. As a complementary approach, we conducted microarray-based hybridization profiling using the cotton Affymetrix gene chip and labeled cDNAs from fibers at 11 dpa and for the same two genotypes and compared differentially expressed genes identified by the two platforms. The 454 unigenes were also mined for the presence of microsatellite repeats and SNPs that will be useful markers for mapping and marker-assisted selection in cotton improvement.-Total RNA was extracted from 11 dpa-old fibers from the two genotypes, Guazuncho 2 (Gossypium hirsutum) and VH8-4602 (G. barbadense), and included two replicates of each. RNA was checked for quality and quantity using an Agilent Bioanalyser 2100 (Agilent Technologies, Santa Clara, CA, USA, http://www.home.agilent.com) following the manufacturer’s recommendations. The RNA was sent to the Australian Genome Research Facility Ltd. (http://www.agrf.org.au, Melbourne, Victoria, Australia) for labeling and hybridization to the Affymetrix Genechip® Cotton Genome Array (21,854 genes) (Affymetrix, http://www.affymetrix.com/). -
2012-10-03 | GSE36876 | GEO
Project description:affy_cotton_2011_12 - affy_cotton_2011_12 - In this study we characterized the fiber transcriptomes of the two species, Gossypium hirsutum and Gossypium barbadense that were parental genotypes of a RIL mapping population used previously for phenotypic QTL and expression QTL mapping., We used 454 deep pyrosequencing to characterize cDNAs from developing fibers at two key developmental time-points; 10 and 22 days post anthesis. A unigene set was assembled and annotated, and differential digital gene expression was assessed from the different time-point and genotype representations of the reads within assembled contigs. As a complementary approach, we conducted microarray-based hybridization profiling using the cotton Affymetrix gene chip and labeled cDNAs from fibers at 11 dpa and for the same two genotypes and compared differentially expressed genes identified by the two platforms. The 454 unigenes were also mined for the presence of microsatellite repeats and SNPs that will be useful markers for mapping and marker-assisted selection in cotton improvement.-Total RNA was extracted from 11 dpa-old fibers from the two genotypes, Guazuncho 2 (Gossypium hirsutum) and VH8-4602 (G. barbadense), and included two replicates of each. RNA was checked for quality and quantity using an Agilent Bioanalyser 2100 (Agilent Technologies, Santa Clara, CA, USA, http://www.home.agilent.com) following the manufacturer’s recommendations. The RNA was sent to the Australian Genome Research Facility Ltd. (http://www.agrf.org.au, Melbourne, Victoria, Australia) for labeling and hybridization to the Affymetrix Genechip® Cotton Genome Array (21,854 genes) (Affymetrix, http://www.affymetrix.com/). -
2013-07-01 | GSE43528 | GEO
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