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Integrating GWAS and Gene Expression Analysis Identifies Candidate Genes for Root Morphology Traits in Maize at the Seedling Stage

Root system plays an essential role in water and nutrient acquisition in plants. Understanding the genetic basis of root development will be beneficial for breeding new cultivars with efficient root system to enhance resource use efficiency in maize. Here, the natural variation of 13 root and 3 shoo...

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Autores principales: Wang, Houmiao, Wei, Jie, Li, Pengcheng, Wang, Yunyun, Ge, Zhenzhen, Qian, Jiayi, Fan, Yingying, Ni, Jinran, Xu, Yang, Yang, Zefeng, Xu, Chenwu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6826382/
https://www.ncbi.nlm.nih.gov/pubmed/31581635
http://dx.doi.org/10.3390/genes10100773
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author Wang, Houmiao
Wei, Jie
Li, Pengcheng
Wang, Yunyun
Ge, Zhenzhen
Qian, Jiayi
Fan, Yingying
Ni, Jinran
Xu, Yang
Yang, Zefeng
Xu, Chenwu
author_facet Wang, Houmiao
Wei, Jie
Li, Pengcheng
Wang, Yunyun
Ge, Zhenzhen
Qian, Jiayi
Fan, Yingying
Ni, Jinran
Xu, Yang
Yang, Zefeng
Xu, Chenwu
author_sort Wang, Houmiao
collection PubMed
description Root system plays an essential role in water and nutrient acquisition in plants. Understanding the genetic basis of root development will be beneficial for breeding new cultivars with efficient root system to enhance resource use efficiency in maize. Here, the natural variation of 13 root and 3 shoot traits was evaluated in 297 maize inbred lines and genome-wide association mapping was conducted to identify SNPs associated with target traits. All measured traits exhibited 2.02- to 21.36-fold variations. A total of 34 quantitative trait loci (QTLs) were detected for 13 traits, and each individual QTL explained 5.7% to 15.9% of the phenotypic variance. Three pleiotropic QTLs involving five root traits were identified; SNP_2_104416607 was associated with lateral root length (LRL), root surface area (RA), root length between 0 and 0.5mm in diameter (RL005), and total root length (TRL); SNP_2_184016997 was associated with RV and RA, and SNP_4_168917747 was associated with LRL, RA and TRL. The expression levels of candidate genes in root QTLs were evaluated by RNA-seq among three long-root lines and three short-root lines. A total of five genes that showed differential expression between the long- and short-root lines were identified as promising candidate genes for the target traits. These QTLs and the potential candidate genes are important source data to understand root development and genetic improvement of root traits in maize.
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spelling pubmed-68263822019-11-18 Integrating GWAS and Gene Expression Analysis Identifies Candidate Genes for Root Morphology Traits in Maize at the Seedling Stage Wang, Houmiao Wei, Jie Li, Pengcheng Wang, Yunyun Ge, Zhenzhen Qian, Jiayi Fan, Yingying Ni, Jinran Xu, Yang Yang, Zefeng Xu, Chenwu Genes (Basel) Article Root system plays an essential role in water and nutrient acquisition in plants. Understanding the genetic basis of root development will be beneficial for breeding new cultivars with efficient root system to enhance resource use efficiency in maize. Here, the natural variation of 13 root and 3 shoot traits was evaluated in 297 maize inbred lines and genome-wide association mapping was conducted to identify SNPs associated with target traits. All measured traits exhibited 2.02- to 21.36-fold variations. A total of 34 quantitative trait loci (QTLs) were detected for 13 traits, and each individual QTL explained 5.7% to 15.9% of the phenotypic variance. Three pleiotropic QTLs involving five root traits were identified; SNP_2_104416607 was associated with lateral root length (LRL), root surface area (RA), root length between 0 and 0.5mm in diameter (RL005), and total root length (TRL); SNP_2_184016997 was associated with RV and RA, and SNP_4_168917747 was associated with LRL, RA and TRL. The expression levels of candidate genes in root QTLs were evaluated by RNA-seq among three long-root lines and three short-root lines. A total of five genes that showed differential expression between the long- and short-root lines were identified as promising candidate genes for the target traits. These QTLs and the potential candidate genes are important source data to understand root development and genetic improvement of root traits in maize. MDPI 2019-10-02 /pmc/articles/PMC6826382/ /pubmed/31581635 http://dx.doi.org/10.3390/genes10100773 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Houmiao
Wei, Jie
Li, Pengcheng
Wang, Yunyun
Ge, Zhenzhen
Qian, Jiayi
Fan, Yingying
Ni, Jinran
Xu, Yang
Yang, Zefeng
Xu, Chenwu
Integrating GWAS and Gene Expression Analysis Identifies Candidate Genes for Root Morphology Traits in Maize at the Seedling Stage
title Integrating GWAS and Gene Expression Analysis Identifies Candidate Genes for Root Morphology Traits in Maize at the Seedling Stage
title_full Integrating GWAS and Gene Expression Analysis Identifies Candidate Genes for Root Morphology Traits in Maize at the Seedling Stage
title_fullStr Integrating GWAS and Gene Expression Analysis Identifies Candidate Genes for Root Morphology Traits in Maize at the Seedling Stage
title_full_unstemmed Integrating GWAS and Gene Expression Analysis Identifies Candidate Genes for Root Morphology Traits in Maize at the Seedling Stage
title_short Integrating GWAS and Gene Expression Analysis Identifies Candidate Genes for Root Morphology Traits in Maize at the Seedling Stage
title_sort integrating gwas and gene expression analysis identifies candidate genes for root morphology traits in maize at the seedling stage
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6826382/
https://www.ncbi.nlm.nih.gov/pubmed/31581635
http://dx.doi.org/10.3390/genes10100773
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