Dataset Information

Affymetrix Cotton Genome array expression data of root tissue of Gossypium herbaceum under drought stress and watered condition

ABSTRACT: Genome-wide Transcriptional Analysis of Genes Associated with Drought Stress in Gossypium herbaceum root This experiment was designed to investigate the molecular mechanism associated with drought tolerance in root tissue of Gossypium herbaceum. The gene expression profiles of the root tissue using Affymetrix Cotton Genome Array were compared with drought tolerant and drought sensitive genotype of G.herbaceum under drought stress and watered condition. Many genes in various molecular function or biological processes were over- or under-represented between drought tolerant and sensitive genotype, suggesting various molecular mechanism and biochemical pathways are interlinked and tolerant genotype have developed multiple mechanisms as an adaptory behavior against drought stress.

ORGANISM(S): Gossypium raimondii Gossypium arboreum Gossypium herbaceum Gossypium barbadense Gossypium hirsutum

PROVIDER: GSE36249 | GEO | 2012/03/29

SECONDARY ACCESSION(S): PRJNA153061

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Background: Drought stress is the major environmental stress that affects plant growth and productivity. It triggers in plants a wide range of responses detectable at different scales: molecular, biochemical and physiological levels. At the molecular level the response to drought stress results in the differential expression of several metabolic pathways. For this reason, explore the subtle differences existing in gene expression of drought sensitive and drought tolerant genotypes allows to identify drought-related genes that could be used for selection of drought tolerance traits. Genome-wide RNA-Seq technology was used to compare the drought response of two sorghum genotypes characterized by contrasting water use efficiency. Results: the physiological measurements carried out confirmed the drought sensitivity of IS20351 and the drought tolerance of IS22330 previously studied. The expression of drought-related genes was more abundant in the sensitive genotype IS20351 compared to the tolerant IS22330. The Gene Ontology enrichment highlighted a massive increase in transcript abundance in “response to stress” and “abiotic stimulus”, “oxidation-reduction reaction” in the sensitive genotype IS20351 under drought stress. “Antioxidant” and “secondary metabolism”, “photosynthesis and carbon fixation process”, “lipids” and “carbon metabolism” were the pathways most affected by drought in the sensitive genotype IS20351. The sensitive genotype IS20351 showed under well-watered conditions a lower constitutive expression level of “secondary metabolic process” (GO:0019748) and “glutathione transferase activity” (GO:000004364). Conclusions: RNA-Seq analysis revealed to be a very useful tool to explore differences between sensitive and tolerant sorghum genotypes. The transcriptomic results supported all the physiological measurements and were crucial to clarify the tolerance of the two genotypes studied. The connection between the differential gene expression and the physiological response to drought states unequivocally the drought tolerance of the genotype IS22330 and the strategy adopted to cope with drought stress.

Project description:Drought stress is a major problem around the world and although progress in understanding how vegetable crops and model plants adapt to drought have been made, there is still little information about how fruit crops deal with moderate drought stress. In this study, we investigated the response of two apple genotypes: a drought-sensitive genotype (M26) and a drought-tolerant genotype (MBB). Our results of the morphology, physiology and biochemistry under moderate drought stress, indicated that relative water content (RWC) and leaf area (LA) were not significant changes in two genotypes. However, it had larger leaf mass per area (LMA), and accumulated higher free proline (CFP), soluble sugars (CSS) and malonaldehyde (MDA) in the leaves. Thus, it appears that the MBB genotype could produce more osmosis-regulating substances. Phosphoproteomic was analyzed from leaves of both genotypes under moderate drought stress using the isobaric tags for relative and absolute quantification (iTRAQ) technology. A total of 595 unique phosphopeptides, 682 phosphorylated sites and 446 phosphoproteins were quantitatively analyzed in the two genotypes. Motif analyses of the phosphorylation sites showed that six motifs including [PxsP], [sP], [sD], [Rxxs], [sxP] and [sxs] were enriched. We identified 12 and 48 PLSC phosphoproteins in M26 and MBB, respectively. Among these, 9 PLSC phosphoproteins were common to both genotypes, perhaps indicating a partial overlaps of the mechanisms to moderate drought stress. Gene ontology analyses revealed that the PLSC phosphoproteins present a unique combination of metabolism, transcription, translation and protein processing, suggesting that the response in apple to moderate drought stress encompasses a new homeostasis of major cellular processes. The basic trend was an increase in protein abundance related to drought and organic substance upon moderate drought stress between two genotypes. These increases were higher in the drought-tolerant genotype (MBB) than in the drought-sensitive genotype (M26). The 23 differentially expressed mRNA encoding phosphoproteins were analysis by quantitative real-time PCR (qRT-PCR). Our study is the first to address the phosphoproteome of a major fruit crop, apple rootstocks, in response to moderate drought stress, and provide insights into the molecular regulation mechanisms of apple rootstock under moderate drought stress.

Dataset Information

Affymetrix Cotton Genome array expression data of root tissue of Gossypium herbaceum under drought stress and watered condition

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets