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Genome-wide association analysis of seedling root development in maize (Zea mays L.)

BACKGROUND: Plants rely on the root system for anchorage to the ground and the acquisition and absorption of nutrients critical to sustaining productivity. A genome wide association analysis enables one to analyze allelic diversity of complex traits and identify superior alleles. 384 inbred lines fr...

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Autores principales: Pace, Jordon, Gardner, Candice, Romay, Cinta, Ganapathysubramanian, Baskar, Lübberstedt, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4326187/
https://www.ncbi.nlm.nih.gov/pubmed/25652714
http://dx.doi.org/10.1186/s12864-015-1226-9
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author Pace, Jordon
Gardner, Candice
Romay, Cinta
Ganapathysubramanian, Baskar
Lübberstedt, Thomas
author_facet Pace, Jordon
Gardner, Candice
Romay, Cinta
Ganapathysubramanian, Baskar
Lübberstedt, Thomas
author_sort Pace, Jordon
collection PubMed
description BACKGROUND: Plants rely on the root system for anchorage to the ground and the acquisition and absorption of nutrients critical to sustaining productivity. A genome wide association analysis enables one to analyze allelic diversity of complex traits and identify superior alleles. 384 inbred lines from the Ames panel were genotyped with 681,257 single nucleotide polymorphism markers using Genotyping-by-Sequencing technology and 22 seedling root architecture traits were phenotyped. RESULTS: Utilizing both a general linear model and mixed linear model, a GWAS study was conducted identifying 268 marker trait associations (p ≤ 5.3×10(-7)). Analysis of significant SNP markers for multiple traits showed that several were located within gene models with some SNP markers localized within regions of previously identified root quantitative trait loci. Gene model GRMZM2G153722 located on chromosome 4 contained nine significant markers. This predicted gene is expressed in roots and shoots. CONCLUSION: This study identifies putatively associated SNP markers associated with root traits at the seedling stage. Some SNPs were located within or near (<1 kb) gene models. These gene models identify possible candidate genes involved in root development at the seedling stage. These and respective linked or functional markers could be targets for breeders for marker assisted selection of seedling root traits. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-1226-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-43261872015-02-13 Genome-wide association analysis of seedling root development in maize (Zea mays L.) Pace, Jordon Gardner, Candice Romay, Cinta Ganapathysubramanian, Baskar Lübberstedt, Thomas BMC Genomics Research Article BACKGROUND: Plants rely on the root system for anchorage to the ground and the acquisition and absorption of nutrients critical to sustaining productivity. A genome wide association analysis enables one to analyze allelic diversity of complex traits and identify superior alleles. 384 inbred lines from the Ames panel were genotyped with 681,257 single nucleotide polymorphism markers using Genotyping-by-Sequencing technology and 22 seedling root architecture traits were phenotyped. RESULTS: Utilizing both a general linear model and mixed linear model, a GWAS study was conducted identifying 268 marker trait associations (p ≤ 5.3×10(-7)). Analysis of significant SNP markers for multiple traits showed that several were located within gene models with some SNP markers localized within regions of previously identified root quantitative trait loci. Gene model GRMZM2G153722 located on chromosome 4 contained nine significant markers. This predicted gene is expressed in roots and shoots. CONCLUSION: This study identifies putatively associated SNP markers associated with root traits at the seedling stage. Some SNPs were located within or near (<1 kb) gene models. These gene models identify possible candidate genes involved in root development at the seedling stage. These and respective linked or functional markers could be targets for breeders for marker assisted selection of seedling root traits. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-1226-9) contains supplementary material, which is available to authorized users. BioMed Central 2015-02-05 /pmc/articles/PMC4326187/ /pubmed/25652714 http://dx.doi.org/10.1186/s12864-015-1226-9 Text en © Pace et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Pace, Jordon
Gardner, Candice
Romay, Cinta
Ganapathysubramanian, Baskar
Lübberstedt, Thomas
Genome-wide association analysis of seedling root development in maize (Zea mays L.)
title Genome-wide association analysis of seedling root development in maize (Zea mays L.)
title_full Genome-wide association analysis of seedling root development in maize (Zea mays L.)
title_fullStr Genome-wide association analysis of seedling root development in maize (Zea mays L.)
title_full_unstemmed Genome-wide association analysis of seedling root development in maize (Zea mays L.)
title_short Genome-wide association analysis of seedling root development in maize (Zea mays L.)
title_sort genome-wide association analysis of seedling root development in maize (zea mays l.)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4326187/
https://www.ncbi.nlm.nih.gov/pubmed/25652714
http://dx.doi.org/10.1186/s12864-015-1226-9
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