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Article

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

by
Hai-Ming Li
1,2,†,
Shao-Dong Liu
1,†,
Chang-Wei Ge
1,
Xiao-Meng Zhang
1,
Si-Ping Zhang
1,
Jing Chen
1,
Qian Shen
1,
Fei-Yan Ju
1,2,
Yong-Fei Yang
1,2,
Yang Li
1,
Rui-Hua Liu
1,
Hui-Juan Ma
1,
Xin-Hua Zhao
1,
Cun-Dong Li
2,* and
Chao-You Pang
1,3,*
1
State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang 455000, China
2
Hebei Base of State Key Laboratory of Cotton Biology, Hebei Agricultural University, Baoding 071001, China
3
Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou 450001, China
*
Authors to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Int. J. Mol. Sci. 2019, 20(16), 3888; https://doi.org/10.3390/ijms20163888
Submission received: 15 July 2019 / Revised: 31 July 2019 / Accepted: 2 August 2019 / Published: 9 August 2019
(This article belongs to the Section Molecular Plant Sciences)
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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.
Keywords: association analysis; drought tolerance; upland cotton; single-nucleotide polymorphism (SNP) association analysis; drought tolerance; upland cotton; single-nucleotide polymorphism (SNP)

Share and Cite

MDPI and ACS Style

Li, H.-M.; Liu, S.-D.; Ge, C.-W.; Zhang, X.-M.; Zhang, S.-P.; Chen, J.; Shen, Q.; Ju, F.-Y.; Yang, Y.-F.; Li, Y.; et al. Association Analysis of Drought Tolerance and Associated Traits in Upland Cotton at the Seedling Stage. Int. J. Mol. Sci. 2019, 20, 3888. https://doi.org/10.3390/ijms20163888

AMA Style

Li H-M, Liu S-D, Ge C-W, Zhang X-M, Zhang S-P, Chen J, Shen Q, Ju F-Y, Yang Y-F, Li Y, et al. Association Analysis of Drought Tolerance and Associated Traits in Upland Cotton at the Seedling Stage. International Journal of Molecular Sciences. 2019; 20(16):3888. https://doi.org/10.3390/ijms20163888

Chicago/Turabian Style

Li, Hai-Ming, Shao-Dong Liu, Chang-Wei Ge, Xiao-Meng Zhang, Si-Ping Zhang, Jing Chen, Qian Shen, Fei-Yan Ju, Yong-Fei Yang, Yang Li, and et al. 2019. "Association Analysis of Drought Tolerance and Associated Traits in Upland Cotton at the Seedling Stage" International Journal of Molecular Sciences 20, no. 16: 3888. https://doi.org/10.3390/ijms20163888

APA Style

Li, H.-M., Liu, S.-D., Ge, C.-W., Zhang, X.-M., Zhang, S.-P., Chen, J., Shen, Q., Ju, F.-Y., Yang, Y.-F., Li, Y., Liu, R.-H., Ma, H.-J., Zhao, X.-H., Li, C.-D., & Pang, C.-Y. (2019). Association Analysis of Drought Tolerance and Associated Traits in Upland Cotton at the Seedling Stage. International Journal of Molecular Sciences, 20(16), 3888. https://doi.org/10.3390/ijms20163888

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