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Genome-wide association study for kernel composition and flour pasting behavior in wholemeal maize flour
BACKGROUND: Maize is a crop in high demand for food purposes and consumers worldwide are increasingly concerned with food quality. However, breeding for improved quality is a complex task and therefore developing tools to select for better quality products is of great importance. Kernel composition,...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6444869/ https://www.ncbi.nlm.nih.gov/pubmed/30940081 http://dx.doi.org/10.1186/s12870-019-1729-7 |
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author | Alves, Mara Lisa Carbas, Bruna Gaspar, Daniel Paulo, Manuel Brites, Cláudia Mendes-Moreira, Pedro Brites, Carla Moita Malosetti, Marcos van Eeuwijk, Fred Vaz Patto, Maria Carlota |
author_facet | Alves, Mara Lisa Carbas, Bruna Gaspar, Daniel Paulo, Manuel Brites, Cláudia Mendes-Moreira, Pedro Brites, Carla Moita Malosetti, Marcos van Eeuwijk, Fred Vaz Patto, Maria Carlota |
author_sort | Alves, Mara Lisa |
collection | PubMed |
description | BACKGROUND: Maize is a crop in high demand for food purposes and consumers worldwide are increasingly concerned with food quality. However, breeding for improved quality is a complex task and therefore developing tools to select for better quality products is of great importance. Kernel composition, flour pasting behavior, and flour particle size have been previously identified as crucial for maize-based food quality. In this work we carried out a genome-wide association study to identify genomic regions controlling compositional and pasting properties of maize wholemeal flour. RESULTS: A collection of 132 diverse inbred lines, with a considerable representation of the food used Portuguese unique germplasm, was trialed during two seasons, and harvested samples characterized for main compositional traits, flour pasting parameters and mean particle size. The collection was genotyped with the MaizeSNP50 array. SNP-trait associations were tested using a mixed linear model accounting for genetic relatedness. Fifty-seven genomic regions were identified, associated with the 11 different quality-related traits evaluated. Regions controlling multiple traits were detected and potential candidate genes identified. As an example, for two viscosity parameters that reflect the capacity of the starch to absorb water and swell, the strongest common associated region was located near the dull endosperm 1 gene that encodes a starch synthase and is determinant on the starch endosperm structure in maize. CONCLUSIONS: This study allowed for identifying relevant regions on the maize genome affecting maize kernel composition and flour pasting behavior, candidate genes for the majority of the quality-associated genomic regions, or the most promising target regions to develop molecular tools to increase efficacy and efficiency of quality traits selection (such as “breadability”) within maize breeding programs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12870-019-1729-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6444869 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-64448692019-04-12 Genome-wide association study for kernel composition and flour pasting behavior in wholemeal maize flour Alves, Mara Lisa Carbas, Bruna Gaspar, Daniel Paulo, Manuel Brites, Cláudia Mendes-Moreira, Pedro Brites, Carla Moita Malosetti, Marcos van Eeuwijk, Fred Vaz Patto, Maria Carlota BMC Plant Biol Research Article BACKGROUND: Maize is a crop in high demand for food purposes and consumers worldwide are increasingly concerned with food quality. However, breeding for improved quality is a complex task and therefore developing tools to select for better quality products is of great importance. Kernel composition, flour pasting behavior, and flour particle size have been previously identified as crucial for maize-based food quality. In this work we carried out a genome-wide association study to identify genomic regions controlling compositional and pasting properties of maize wholemeal flour. RESULTS: A collection of 132 diverse inbred lines, with a considerable representation of the food used Portuguese unique germplasm, was trialed during two seasons, and harvested samples characterized for main compositional traits, flour pasting parameters and mean particle size. The collection was genotyped with the MaizeSNP50 array. SNP-trait associations were tested using a mixed linear model accounting for genetic relatedness. Fifty-seven genomic regions were identified, associated with the 11 different quality-related traits evaluated. Regions controlling multiple traits were detected and potential candidate genes identified. As an example, for two viscosity parameters that reflect the capacity of the starch to absorb water and swell, the strongest common associated region was located near the dull endosperm 1 gene that encodes a starch synthase and is determinant on the starch endosperm structure in maize. CONCLUSIONS: This study allowed for identifying relevant regions on the maize genome affecting maize kernel composition and flour pasting behavior, candidate genes for the majority of the quality-associated genomic regions, or the most promising target regions to develop molecular tools to increase efficacy and efficiency of quality traits selection (such as “breadability”) within maize breeding programs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12870-019-1729-7) contains supplementary material, which is available to authorized users. BioMed Central 2019-04-02 /pmc/articles/PMC6444869/ /pubmed/30940081 http://dx.doi.org/10.1186/s12870-019-1729-7 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 Alves, Mara Lisa Carbas, Bruna Gaspar, Daniel Paulo, Manuel Brites, Cláudia Mendes-Moreira, Pedro Brites, Carla Moita Malosetti, Marcos van Eeuwijk, Fred Vaz Patto, Maria Carlota Genome-wide association study for kernel composition and flour pasting behavior in wholemeal maize flour |
title | Genome-wide association study for kernel composition and flour pasting behavior in wholemeal maize flour |
title_full | Genome-wide association study for kernel composition and flour pasting behavior in wholemeal maize flour |
title_fullStr | Genome-wide association study for kernel composition and flour pasting behavior in wholemeal maize flour |
title_full_unstemmed | Genome-wide association study for kernel composition and flour pasting behavior in wholemeal maize flour |
title_short | Genome-wide association study for kernel composition and flour pasting behavior in wholemeal maize flour |
title_sort | genome-wide association study for kernel composition and flour pasting behavior in wholemeal maize flour |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6444869/ https://www.ncbi.nlm.nih.gov/pubmed/30940081 http://dx.doi.org/10.1186/s12870-019-1729-7 |
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