Cotton_rhiz_endo_wilt
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB32779 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:To detect salt-tolerance-related miRNAs, comparative analysis of miRNA expression profiles was performed between the salt-tolerant and -sensitive cotton cultivars in control and salt-stressed conditions (treated with 300 mM NaCl for 24 h) using microRNA microarray Total RNA was extracted from (1) the seedling of salt-tolerant cotton cultivar in normal growth conditions, (2) the seedling of salt-tolerant cotton cultivar in salt-stressed growth conditions, (3) the seedling of salt-sensitive cotton cultivar in normal growth conditions, and (4) the seedling of salt-sensitive cotton cultivar in salt-stressed growth conditions. Then, the low-molecular-weight RNA (LMW-RNA) was isolated using the PEG solution precipitation method and used to hybridization.
2011-05-03 | E-GEOD-19009 | biostudies-arrayexpress
Project description:Genomic approaches to the discovery of promoters for sustained expression in cotton (Gossypium hirsutum L.) under field conditions: expression analysis in transgenic cotton and Arabidopsis of a Rubisco small subunit promoter identified using EST sequence analysis and cDNA microarrays. Keywords: Promoter Discovery
2006-06-01 | GSE4939 | 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:In this study, we used transcriptomic and hormonomic approaches to examine drought-induced changes in barley roots and leaves and its rhizosphere. By studying hormonal responses, alternative splicing events in barley, and changes in the rhizosphere microbiome, we aimed to provide a comprehensive view of barley drought-adaptive mechanisms and potential plant-microbe interactions under drought stress. This approach improved our understanding of barley adaptive strategies and highlighted the importance of considering plant-microbe interactions in the context of climate change.
2024-10-31 | E-MTAB-14320 | 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:Advances in DNA sequencing technologies has drastically changed our perception of the structure and complexity of the plant microbiome. By comparison, our ability to accurately identify the metabolically active fraction of soil microbiota and its specific functional role in augmenting plant health is relatively limited. Here, we combined our recently developed protein extraction method and an iterative bioinformatics pipeline to enable the capture and identification of extracellular proteins (metaexoproteomics) synthesised in the rhizosphere of Brassica spp. We first validated our method in the laboratory by successfully identifying proteins related to a host plant (Brassica rapa) and its bacterial inoculant, Pseudomonas putida BIRD-1. This identified numerous rhizosphere specific proteins linked to the acquisition of plant-derived nutrients in P. putida. Next, we analysed natural field-soil microbial communities associated with Brassica napus L. (oilseed rape). By combining metagenomics with metaexoproteomics, 1882 proteins were identified across bulk and rhizosphere samples. Meta-exoproteomics identified a clear shift (p<0.001) in the metabolically active fraction of the soil microbiota responding to the presence of B. napus roots that was not apparent in the composition of the total microbial community (metagenome). This metabolic shift was associated with the stimulation of rhizosphere-specialised bacteria, such as Gammaproteobacteria, Betaproteobacteria and Flavobacteriia and the upregulation of plant beneficial functions related to phosphorus and nitrogen mineralisation. Together, our metaproteomic assessment of the ‘active’ plant microbiome at the field-scale demonstrates the importance of moving past a genomic assessment of the plant microbiome in order to determine ecologically important plant-microbe interactions underpinning plant health.
2022-07-01 | PXD033803 | Pride
Project description:Advances in DNA sequencing technologies has drastically changed our perception of the structure and complexity of the plant microbiome. By comparison, our ability to accurately identify the metabolically active fraction of soil microbiota and its specific functional role in augmenting plant health is relatively limited. Here, we combined our recently developed protein extraction method and an iterative bioinformatics pipeline to enable the capture and identification of extracellular proteins (metaexoproteomics) synthesised in the rhizosphere of Brassica spp. We first validated our method in the laboratory by successfully identifying proteins related to a host plant (Brassica rapa) and its bacterial inoculant, Pseudomonas putida BIRD-1. This identified numerous rhizosphere specific proteins linked to the acquisition of plant-derived nutrients in P. putida. Next, we analysed natural field-soil microbial communities associated with Brassica napus L. (oilseed rape). By combining metagenomics with metaexoproteomics, 1882 proteins were identified across bulk and rhizosphere samples. Meta-exoproteomics identified a clear shift (p<0.001) in the metabolically active fraction of the soil microbiota responding to the presence of B. napus roots that was not apparent in the composition of the total microbial community (metagenome). This metabolic shift was associated with the stimulation of rhizosphere-specialised bacteria, such as Gammaproteobacteria, Betaproteobacteria and Flavobacteriia and the upregulation of plant beneficial functions related to phosphorus and nitrogen mineralisation. Together, our metaproteomic assessment of the ‘active’ plant microbiome at the field-scale demonstrates the importance of moving past a genomic assessment of the plant microbiome in order to determine ecologically important plant-microbe interactions underpinning plant health.
2022-07-01 | PXD033692 | Pride