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Mapping drought-responsive genes in cotton

ABSTRACT: Structural and functional approaches were used to study cotton (Gossypium) genes implicated in water-deficit stress. A genetic map representing the hypothetical ancestral diploid genome (Consensus Map) was used to map 1,907 of 15,784 tentative consensus sequences (TCs). These TCs represent 25,119 cotton ESTs derived from various tissues under irrigated and water-limited condition. The correspondence of mapped TCs and 42 stress-related quantitative trait loci (QTLs) revealed that 391 of the initial 1907 TCs co-localized within a QTL interval. About 31% of these TCs were annotated as genes involved in plant responses to abiotic stress. By comparison, only 18% of the total annotated TCs mapped on the Consensus map were classified as abiotic stress genes. The enrichment of stress-related TCs that map to stress-related QTLs could not be explained by chance (P = 1.5 x 10-7). Gene expression profiling experiments were carried out using a microarray composed of 12,006 oligonucleotides. Transcriptional responses to imposed water-deficit stress in root and leaf tissue of 8-week old cotton plants revealed 1401 transcripts identified as drought responsive. A total of 158 (84 drought-induced and 74 drought-repressed) genes were mapped, of which 22 (8 induced and 14 repressed) genes co-localized with a QTL. A total of 539 unique genes were identified in the drought-stressed libraries. However, only 91 of these genes are contained on the array. Of these genes, 12 showed significant changes in transcript abundance between stressed and irrigated leaf and root. Forty-five candidate genes implicated in drought-stress response at some level of characterization were identified. Keywords: stress response

ORGANISM(S): Gossypium arboreum Gossypium hirsutum Gossypium raimondii

PROVIDER: GSE8719 | GEO | 2007/10/03

SECONDARY ACCESSION(S): PRJNA101965

REPOSITORIES: GEO

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Project description:Cotton (Gossypium hirsutum L.) is one of the most important cash crops worldwide. In semi-arid/arid regions, drought stress causes growth limitation and decrease of yield. Of all the organs of a plant, fine root is the central part consisting of the root system to contribute to plant water and nutrient taken up. However, the research on the molecular mechanism underlying fine root response to soil drought has not been well understood in cotton. To better characterize the proteomic changes of cotton fine roots under drought stress, 70±5% and 40±5% soil relative water content were designed as control (CK) and drought stress (DS) groups, respectively. Tandem mass tags (TMT) technology was used to determine the proteome profiles in fine roots. The proteomic differences between CK and DS were pairwise compared at 0, 30, and 45 days after drought stress (DAD). A total of 11,628 proteins were identified, of which 10,344 proteins contained quantitative information. According to the morphological, physiological, and biochemical characteristics, 30 and 45 DAD were selected as critical stages for further analysis. Results showed that 118 differentially expressed proteins (DEPs) were up-regulated and 105 down-regulated in DS 30 versus CK 30; 662 DEPs were up-regulated, and 611 were down-regulated in DS 45 versus CK 45. The DEP functions were determined for their classified pathways, mainly associated with carbohydrate metabolism, energy metabolism, fatty acid metabolism, amino acid metabolism, and secondary metabolite biosynthesis. DEPs related to phytohormone and stress/defense response were also identified. To verify the accuracy of the TMT results, 20 DEPs were randomly selected for parallel reaction monitoring (PRM) verification. And results showed that the quantitative results of TMT are consistent with those of PRM, which proved that the TMT results of this study are reliable. In this article we describe changes in the protein profiles occurring in response to drought stress in cotton fine roots. Proteomic analyses of plant responses to stressors could lead to the introduction of cotton cultivars with high resistance to drought stress. Such plants would be valuable for high yielding under drought as well as other unfavorable environmental conditions.

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Mapping drought-responsive genes in cotton

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