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

被引:40
作者
Li, Hai-Ming [1 ,2 ]
Liu, Shao-Dong [1 ]
Ge, Chang-Wei [1 ]
Zhang, Xiao-Meng [1 ]
Zhang, Si-Ping [1 ]
Chen, Jing [1 ]
Shen, Qian [1 ]
Ju, Fei-Yan [1 ,2 ]
Yang, Yong-Fei [1 ,2 ]
Li, Yang [1 ]
Liu, Rui-Hua [1 ]
Ma, Hui-Juan [1 ]
Zhao, Xin-Hua [1 ]
Li, Cun-Dong [2 ]
Pang, Chao-You [1 ,3 ]
机构
[1] CAAS, State Key Lab Cotton Biol, Inst Cotton Res, Anyang 455000, Peoples R China
[2] Hebei Agr Univ, Hebei Base, State Key Lab Cotton Biol, Baoding 071001, Peoples R China
[3] Zhengzhou Univ, State Key Lab Cotton Biol, Zhengzhou Res Base, Zhengzhou 450001, Henan, Peoples R China
关键词
association analysis; drought tolerance; upland cotton; single-nucleotide polymorphism (SNP); GENOME-WIDE ASSOCIATION; ABIOTIC STRESS; ABSCISIC-ACID; TRANSCRIPTION FACTOR; GENETIC-VARIATION; PROTEIN-KINASES; PLANT-RESPONSE; FIBER QUALITY; WATER-STRESS; COMPONENTS;
D O I
10.3390/ijms20163888
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
(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.
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页数:22
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