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Analysis of Drought Tolerance and Associated Traits in Upland Cotton at the Seedling Stage

Authors :
Hai-Ming Li
Shao-Dong Liu
Chang-Wei Ge
Xiao-Meng Zhang
Si-Ping Zhang
Jing Chen
Qian Shen
Fei-Yan Ju
Yong-Fei Yang
Yang Li
Rui-Hua Liu
Hui-Juan Ma
Xin-Hua Zhao
Cun-Dong Li
Chao-You Pang
Source :
International Journal of Molecular Sciences, Volume 20, Issue 16, International Journal of Molecular Sciences, Vol 20, Iss 16, p 3888 (2019)
Publication Year :
2019
Publisher :
Multidisciplinary Digital Publishing Institute, 2019.

Abstract

(1) Background: Upland cotton (Gossypium hirsutum L.) is the most important natural fiber worldwide, and it is extensively planted and plentifully used in the textile industry. Major cotton planting regions are frequently affected by abiotic stress, especially drought stress. Drought resistance is a complex, quantitative trait. A genome-wide association study (GWAS) constitutes an efficient method for dissecting the genetic architecture of complex traits. In this study, the drought resistance of a population of 316 upland cotton accessions was studied via GWAS. (2) Methods: GWAS methodology was employed to identify relationships between molecular markers or candidate genes and phenotypes of interest. (3) Results: A total of 8, 3, and 6 SNPs were associated with the euphylla wilting score (EWS), cotyledon wilting score (CWS), and leaf temperature (LT), respectively, based on a general linear model and a factored spectrally transformed linear mixed model. For these traits, 7 QTLs were found, of which 2 each were located on chromosomes A05, A11, and D03, and of which 1 was located on chromosome A01. Importantly, in the candidate regions WRKY70, GhCIPK6, SnRK2.6, and NET1A, which are involved in the response to abscisic acid (ABA), the mitogen-activated protein kinase (MAPK) signaling pathway and the calcium transduction pathway were identified in upland cotton at the seedling stage under drought stress according to annotation information and linkage disequilibrium (LD) block analysis. Moreover, RNA sequencing analysis showed that WRKY70, GhCIPK6, SnRK2.6, and NET1A were induced by drought stress, and the expression of these genes was significantly different between normal and drought stress conditions. (4) Conclusions: The present study should provide some genomic resources for drought resistance in upland cotton. Moreover, the germplasm of the different phenotypes, the detected SNPs and, the potential candidate genes will be helpful for molecular marker-assisted breeding studies about increased drought resistance in upland cotton.

Details

Language :
English
ISSN :
14220067
Database :
OpenAIRE
Journal :
International Journal of Molecular Sciences
Accession number :
edsair.pmid.dedup....f3c98d3e91e6bf145be236d92f9686a5
Full Text :
https://doi.org/10.3390/ijms20163888