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Genome-wide association screening and verification of potential genes associated with root architectural traits in maize (Zea mays L.) at multiple seedling stages

BACKGROUND: Breeding for new maize varieties with propitious root systems has tremendous potential in improving water and nutrients use efficiency and plant adaptation under suboptimal conditions. To date, most of the previously detected root-related trait genes in maize were new without functional...

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Autores principales: Moussa, Abdourazak Alio, Mandozai, Ajmal, Jin, Yukun, Qu, Jing, Zhang, Qi, Zhao, He, Anwari, Gulaqa, Khalifa, Mohamed Abdelsamiaa Sayed, Lamboro, Abraham, Noman, Muhammad, Bakasso, Yacoubou, Zhang, Mo, Guan, Shuyan, Wang, Piwu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8290564/
https://www.ncbi.nlm.nih.gov/pubmed/34284723
http://dx.doi.org/10.1186/s12864-021-07874-x
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author Moussa, Abdourazak Alio
Mandozai, Ajmal
Jin, Yukun
Qu, Jing
Zhang, Qi
Zhao, He
Anwari, Gulaqa
Khalifa, Mohamed Abdelsamiaa Sayed
Lamboro, Abraham
Noman, Muhammad
Bakasso, Yacoubou
Zhang, Mo
Guan, Shuyan
Wang, Piwu
author_facet Moussa, Abdourazak Alio
Mandozai, Ajmal
Jin, Yukun
Qu, Jing
Zhang, Qi
Zhao, He
Anwari, Gulaqa
Khalifa, Mohamed Abdelsamiaa Sayed
Lamboro, Abraham
Noman, Muhammad
Bakasso, Yacoubou
Zhang, Mo
Guan, Shuyan
Wang, Piwu
author_sort Moussa, Abdourazak Alio
collection PubMed
description BACKGROUND: Breeding for new maize varieties with propitious root systems has tremendous potential in improving water and nutrients use efficiency and plant adaptation under suboptimal conditions. To date, most of the previously detected root-related trait genes in maize were new without functional verification. In this study, seven seedling root architectural traits were examined at three developmental stages in a recombinant inbred line population (RIL) of 179 RILs and a genome-wide association study (GWAS) panel of 80 elite inbred maize lines through quantitative trait loci (QTL) mapping and genome-wide association study. RESULTS: Using inclusive composite interval mapping, 8 QTLs accounting for 6.44–8.83 % of the phenotypic variation in root traits, were detected on chromosomes 1 (qRDW(v3)-1-1 and qRDW/SDW(v3)-1-1), 2 (qRBN(v1)-2-1), 4 (qSUA(v1)-4-1, qSUA(v2)-4-1, and qROV(v2)-4-1), and 10 (qTRL(v1)-10-1, qRBN(v1)-10-1). GWAS analysis involved three models (EMMAX, FarmCPU, and MLM) for a set of 1,490,007 high-quality single nucleotide polymorphisms (SNPs) obtained via whole genome next-generation sequencing (NGS). Overall, 53 significant SNPs with a phenotypic contribution rate ranging from 5.10 to 30.2 % and spread all over the ten maize chromosomes exhibited associations with the seven root traits. 17 SNPs were repeatedly detected from at least two growth stages, with several SNPs associated with multiple traits stably identified at all evaluated stages. Within the average linkage disequilibrium (LD) distance of 5.2 kb for the significant SNPs, 46 candidate genes harboring substantial SNPs were identified. Five potential genes viz. Zm00001d038676, Zm00001d015379, Zm00001d018496, Zm00001d050783, and Zm00001d017751 were verified for expression levels using maize accessions with extreme root branching differences from the GWAS panel and the RIL population. The results showed significantly (P < 0.001) different expression levels between the outer materials in both panels and at all considered growth stages. CONCLUSIONS: This study provides a key reference for uncovering the complex genetic mechanism of root development and genetic enhancement of maize root system architecture, thus supporting the breeding of high-yielding maize varieties with propitious root systems. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07874-x.
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spelling pubmed-82905642021-07-21 Genome-wide association screening and verification of potential genes associated with root architectural traits in maize (Zea mays L.) at multiple seedling stages Moussa, Abdourazak Alio Mandozai, Ajmal Jin, Yukun Qu, Jing Zhang, Qi Zhao, He Anwari, Gulaqa Khalifa, Mohamed Abdelsamiaa Sayed Lamboro, Abraham Noman, Muhammad Bakasso, Yacoubou Zhang, Mo Guan, Shuyan Wang, Piwu BMC Genomics Research Article BACKGROUND: Breeding for new maize varieties with propitious root systems has tremendous potential in improving water and nutrients use efficiency and plant adaptation under suboptimal conditions. To date, most of the previously detected root-related trait genes in maize were new without functional verification. In this study, seven seedling root architectural traits were examined at three developmental stages in a recombinant inbred line population (RIL) of 179 RILs and a genome-wide association study (GWAS) panel of 80 elite inbred maize lines through quantitative trait loci (QTL) mapping and genome-wide association study. RESULTS: Using inclusive composite interval mapping, 8 QTLs accounting for 6.44–8.83 % of the phenotypic variation in root traits, were detected on chromosomes 1 (qRDW(v3)-1-1 and qRDW/SDW(v3)-1-1), 2 (qRBN(v1)-2-1), 4 (qSUA(v1)-4-1, qSUA(v2)-4-1, and qROV(v2)-4-1), and 10 (qTRL(v1)-10-1, qRBN(v1)-10-1). GWAS analysis involved three models (EMMAX, FarmCPU, and MLM) for a set of 1,490,007 high-quality single nucleotide polymorphisms (SNPs) obtained via whole genome next-generation sequencing (NGS). Overall, 53 significant SNPs with a phenotypic contribution rate ranging from 5.10 to 30.2 % and spread all over the ten maize chromosomes exhibited associations with the seven root traits. 17 SNPs were repeatedly detected from at least two growth stages, with several SNPs associated with multiple traits stably identified at all evaluated stages. Within the average linkage disequilibrium (LD) distance of 5.2 kb for the significant SNPs, 46 candidate genes harboring substantial SNPs were identified. Five potential genes viz. Zm00001d038676, Zm00001d015379, Zm00001d018496, Zm00001d050783, and Zm00001d017751 were verified for expression levels using maize accessions with extreme root branching differences from the GWAS panel and the RIL population. The results showed significantly (P < 0.001) different expression levels between the outer materials in both panels and at all considered growth stages. CONCLUSIONS: This study provides a key reference for uncovering the complex genetic mechanism of root development and genetic enhancement of maize root system architecture, thus supporting the breeding of high-yielding maize varieties with propitious root systems. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07874-x. BioMed Central 2021-07-20 /pmc/articles/PMC8290564/ /pubmed/34284723 http://dx.doi.org/10.1186/s12864-021-07874-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Moussa, Abdourazak Alio
Mandozai, Ajmal
Jin, Yukun
Qu, Jing
Zhang, Qi
Zhao, He
Anwari, Gulaqa
Khalifa, Mohamed Abdelsamiaa Sayed
Lamboro, Abraham
Noman, Muhammad
Bakasso, Yacoubou
Zhang, Mo
Guan, Shuyan
Wang, Piwu
Genome-wide association screening and verification of potential genes associated with root architectural traits in maize (Zea mays L.) at multiple seedling stages
title Genome-wide association screening and verification of potential genes associated with root architectural traits in maize (Zea mays L.) at multiple seedling stages
title_full Genome-wide association screening and verification of potential genes associated with root architectural traits in maize (Zea mays L.) at multiple seedling stages
title_fullStr Genome-wide association screening and verification of potential genes associated with root architectural traits in maize (Zea mays L.) at multiple seedling stages
title_full_unstemmed Genome-wide association screening and verification of potential genes associated with root architectural traits in maize (Zea mays L.) at multiple seedling stages
title_short Genome-wide association screening and verification of potential genes associated with root architectural traits in maize (Zea mays L.) at multiple seedling stages
title_sort genome-wide association screening and verification of potential genes associated with root architectural traits in maize (zea mays l.) at multiple seedling stages
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8290564/
https://www.ncbi.nlm.nih.gov/pubmed/34284723
http://dx.doi.org/10.1186/s12864-021-07874-x
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