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Integration of eQTL Analysis and GWAS Highlights Regulation Networks in Cotton under Stress Condition

The genus Gossypium is one of the most economically important crops in the world. Here, we used RNA-seq to quantify gene expression in a collection of G. arboreum seedlings and performed eGWAS on 28,382 expressed genes. We identified a total of 30,089 eQTLs in 10,485 genes, of which >90% were tra...

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Autores principales: Han, Xiao, Gao, Chenxu, Liu, Lisen, Zhang, Yihao, Jin, Yuying, Yan, Qingdi, Yang, Lan, Li, Fuguang, Yang, Zhaoen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9324452/
https://www.ncbi.nlm.nih.gov/pubmed/35886912
http://dx.doi.org/10.3390/ijms23147564
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author Han, Xiao
Gao, Chenxu
Liu, Lisen
Zhang, Yihao
Jin, Yuying
Yan, Qingdi
Yang, Lan
Li, Fuguang
Yang, Zhaoen
author_facet Han, Xiao
Gao, Chenxu
Liu, Lisen
Zhang, Yihao
Jin, Yuying
Yan, Qingdi
Yang, Lan
Li, Fuguang
Yang, Zhaoen
author_sort Han, Xiao
collection PubMed
description The genus Gossypium is one of the most economically important crops in the world. Here, we used RNA-seq to quantify gene expression in a collection of G. arboreum seedlings and performed eGWAS on 28,382 expressed genes. We identified a total of 30,089 eQTLs in 10,485 genes, of which >90% were trans-regulate target genes. Using luciferase assays, we confirmed that different cis-eQTL haplotypes could affect promoter activity. We found ~6600 genes associated with ~1300 eQTL hotspots. Moreover, hotspot 309 regulates the expression of 325 genes with roles in stem length, fresh weight, seed germination rate, and genes related to cell wall biosynthesis and salt stress. Transcriptome-wide association study (TWAS) identified 19 candidate genes associated with the cotton growth and salt stress response. The variation in gene expression across the population played an essential role in population differentiation. Only a small number of the differentially expressed genes between South China, the Yangtze River region, and the Yellow River region sites were located in different chromosomal regions. The eQTLs found across the duplicated gene pairs showed conservative cis- or trans- regulation and that the expression levels of gene pairs were correlated. This study provides new insights into the evolution of gene expression regulation in cotton, and identifies eQTLs in stress-related genes for use in breeding improved cotton varieties.
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spelling pubmed-93244522022-07-27 Integration of eQTL Analysis and GWAS Highlights Regulation Networks in Cotton under Stress Condition Han, Xiao Gao, Chenxu Liu, Lisen Zhang, Yihao Jin, Yuying Yan, Qingdi Yang, Lan Li, Fuguang Yang, Zhaoen Int J Mol Sci Article The genus Gossypium is one of the most economically important crops in the world. Here, we used RNA-seq to quantify gene expression in a collection of G. arboreum seedlings and performed eGWAS on 28,382 expressed genes. We identified a total of 30,089 eQTLs in 10,485 genes, of which >90% were trans-regulate target genes. Using luciferase assays, we confirmed that different cis-eQTL haplotypes could affect promoter activity. We found ~6600 genes associated with ~1300 eQTL hotspots. Moreover, hotspot 309 regulates the expression of 325 genes with roles in stem length, fresh weight, seed germination rate, and genes related to cell wall biosynthesis and salt stress. Transcriptome-wide association study (TWAS) identified 19 candidate genes associated with the cotton growth and salt stress response. The variation in gene expression across the population played an essential role in population differentiation. Only a small number of the differentially expressed genes between South China, the Yangtze River region, and the Yellow River region sites were located in different chromosomal regions. The eQTLs found across the duplicated gene pairs showed conservative cis- or trans- regulation and that the expression levels of gene pairs were correlated. This study provides new insights into the evolution of gene expression regulation in cotton, and identifies eQTLs in stress-related genes for use in breeding improved cotton varieties. MDPI 2022-07-08 /pmc/articles/PMC9324452/ /pubmed/35886912 http://dx.doi.org/10.3390/ijms23147564 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Han, Xiao
Gao, Chenxu
Liu, Lisen
Zhang, Yihao
Jin, Yuying
Yan, Qingdi
Yang, Lan
Li, Fuguang
Yang, Zhaoen
Integration of eQTL Analysis and GWAS Highlights Regulation Networks in Cotton under Stress Condition
title Integration of eQTL Analysis and GWAS Highlights Regulation Networks in Cotton under Stress Condition
title_full Integration of eQTL Analysis and GWAS Highlights Regulation Networks in Cotton under Stress Condition
title_fullStr Integration of eQTL Analysis and GWAS Highlights Regulation Networks in Cotton under Stress Condition
title_full_unstemmed Integration of eQTL Analysis and GWAS Highlights Regulation Networks in Cotton under Stress Condition
title_short Integration of eQTL Analysis and GWAS Highlights Regulation Networks in Cotton under Stress Condition
title_sort integration of eqtl analysis and gwas highlights regulation networks in cotton under stress condition
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9324452/
https://www.ncbi.nlm.nih.gov/pubmed/35886912
http://dx.doi.org/10.3390/ijms23147564
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