Project description:Cotton productivity is affected by water deficit and little is known about the molecular basis of drought tolerance in cotton. In this study, microarray analysis was carried out to identify drought responsive genes in functional leaves of the field-grown drought stressed cotton (Gossypium hirsutum L.) Acala 1517-99. The water stress was imposed after withholding irrigation for 9 days in the early squaring stage, which resulted in 10-15% reduction in plant growth compared to the well watered plants. A total of 110 drought responsive genes (0.5% of the total genes represented in the microarray) were identified, 79% (88 genes) of which were down-regulated and 21% (22 genes) were up-regulated by water stress. The responsiveness of 19 selected drought responsive genes was validated by real time PCR. The drought inducible genes were grouped into six functional categories only including stress related (10 genes, 9 of which are heat shock proteins), metabolism (3) and one each for transcription factor, proline biosynthesis and cellular transport. The down-regulated genes were classified into 14 functional categories including metabolism (20 genes), cellular transport (12), stress related (12), and regulation of gene expression (9) and transcription factor (4), signal transduction (7) and 2 genes each for biosynthesis of secondary compounds, cell wall, fatty acids/lipids and chlorophyll, and protein degradation. Most of the genes have been reported in other plants as drought tolerant/responsive and only 21 drought responsive genes (19%) were functionally unknown. The genes identified provides the first glimpse into the molecular basis of drought response in cotton.
Project description:Abiotic stress is a major environmental factor that limits cotton growth and yield, moreover, this problem has become more and more serious recently and multiple stresses often occur simultaneously due to the global climate change and environmental pollution. We used microarrays to analyze the crosstalk of responsive genes to multiple abiotic stresses including ABA, cold, drought, salinity and alkalinity in cotton.
Project description:Abiotic stress is a major environmental factor that limits cotton growth and yield, moreover, this problem has become more and more serious recently and multiple stresses often occur simultaneously due to the global climate change and environmental pollution. We used microarrays to analyze the crosstalk of responsive genes to multiple abiotic stresses including ABA, cold, drought, salinity and alkalinity in cotton. Cotton seedlings with different abiotic stress treatment were selected at 14-day after germination for RNA extraction and hybridization on Affymetrix microarrays. We sought to identify genes involved in diverse stresses including abscisic acid (A), cold (C), drought (M), salinity (N) and alkalinity (P) by comparative microarray analysis (3 biological replicates for each abiotic stress treatment).
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.
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.
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.
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.
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/). -
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/). -
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