Genome-wide association study for kernel composition and flour pasting behavior in wholemeal maize flour
Abstract 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 comp...
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doaj-91c668e7bc444e5082ac843f9c0734c72020-11-25T02:37:26ZengBMCBMC Plant Biology1471-22292019-04-0119111710.1186/s12870-019-1729-7Genome-wide association study for kernel composition and flour pasting behavior in wholemeal maize flourMara Lisa Alves0Bruna Carbas1Daniel Gaspar2Manuel Paulo3Cláudia Brites4Pedro Mendes-Moreira5Carla Moita Brites6Marcos Malosetti7Fred van Eeuwijk8Maria Carlota Vaz Patto9Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de LisboaInstituto Nacional de Investigação Agrária e VeterináriaInstituto Politécnico de Coimbra - Escola Superior AgráriaInstituto Politécnico de Coimbra - Escola Superior AgráriaInstituto Politécnico de Coimbra - Escola Superior AgráriaInstituto Politécnico de Coimbra - Escola Superior AgráriaInstituto Nacional de Investigação Agrária e VeterináriaWageningen University & ResearchWageningen University & ResearchInstituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de LisboaAbstract 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.http://link.springer.com/article/10.1186/s12870-019-1729-7Zea mays L.Nutritional qualityPasting behaviorPortuguese maize germplasmBreadCandidate genes |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mara Lisa Alves Bruna Carbas Daniel Gaspar Manuel Paulo Cláudia Brites Pedro Mendes-Moreira Carla Moita Brites Marcos Malosetti Fred van Eeuwijk Maria Carlota Vaz Patto |
spellingShingle |
Mara Lisa Alves Bruna Carbas Daniel Gaspar Manuel Paulo Cláudia Brites Pedro Mendes-Moreira Carla Moita Brites Marcos Malosetti Fred van Eeuwijk Maria Carlota Vaz Patto Genome-wide association study for kernel composition and flour pasting behavior in wholemeal maize flour BMC Plant Biology Zea mays L. Nutritional quality Pasting behavior Portuguese maize germplasm Bread Candidate genes |
author_facet |
Mara Lisa Alves Bruna Carbas Daniel Gaspar Manuel Paulo Cláudia Brites Pedro Mendes-Moreira Carla Moita Brites Marcos Malosetti Fred van Eeuwijk Maria Carlota Vaz Patto |
author_sort |
Mara Lisa Alves |
title |
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_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_sort |
genome-wide association study for kernel composition and flour pasting behavior in wholemeal maize flour |
publisher |
BMC |
series |
BMC Plant Biology |
issn |
1471-2229 |
publishDate |
2019-04-01 |
description |
Abstract 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. |
topic |
Zea mays L. Nutritional quality Pasting behavior Portuguese maize germplasm Bread Candidate genes |
url |
http://link.springer.com/article/10.1186/s12870-019-1729-7 |
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