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Genetic dissection of the relationships between grain yield components by genome-wide association mapping in a collection of tetraploid wheats

Increasing grain yield potential in wheat has been a major target of most breeding programs. Genetic advance has been frequently hindered by negative correlations among yield components that have been often observed in segregant populations and germplasm collections. A tetraploid wheat collection wa...

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Detalles Bibliográficos
Autores principales: Mangini, Giacomo, Gadaleta, Agata, Colasuonno, Pasqualina, Marcotuli, Ilaria, Signorile, Antonio M., Simeone, Rosanna, De Vita, Pasquale, Mastrangelo, Anna M., Laidò, Giovanni, Pecchioni, Nicola, Blanco, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5764242/
https://www.ncbi.nlm.nih.gov/pubmed/29324803
http://dx.doi.org/10.1371/journal.pone.0190162
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author Mangini, Giacomo
Gadaleta, Agata
Colasuonno, Pasqualina
Marcotuli, Ilaria
Signorile, Antonio M.
Simeone, Rosanna
De Vita, Pasquale
Mastrangelo, Anna M.
Laidò, Giovanni
Pecchioni, Nicola
Blanco, Antonio
author_facet Mangini, Giacomo
Gadaleta, Agata
Colasuonno, Pasqualina
Marcotuli, Ilaria
Signorile, Antonio M.
Simeone, Rosanna
De Vita, Pasquale
Mastrangelo, Anna M.
Laidò, Giovanni
Pecchioni, Nicola
Blanco, Antonio
author_sort Mangini, Giacomo
collection PubMed
description Increasing grain yield potential in wheat has been a major target of most breeding programs. Genetic advance has been frequently hindered by negative correlations among yield components that have been often observed in segregant populations and germplasm collections. A tetraploid wheat collection was evaluated in seven environments and genotyped with a 90K SNP assay to identify major and stable quantitative trait loci (QTL) for grain yield per spike (GYS), kernel number per spike (KNS) and thousand-kernel weight (TKW), and to analyse the genetic relationships between the yield components at QTL level. The genome-wide association analysis detected eight, eleven and ten QTL for KNS, TKW and GYS, respectively, significant in at least three environments or two environments and the mean across environments. Most of the QTL for TKW and KNS were found located in different marker intervals, indicating that they are genetically controlled independently by each other. Out of eight KNS QTL, three were associated to significant increases of GYS, while the increased grain number of five additional QTL was completely or partially compensated by decreases in grain weight, thus producing no or reduced effects on GYS. Similarly, four consistent and five suggestive TKW QTL resulted in visible increase of GYS, while seven additional QTL were associated to reduced effects in grain number and no effects on GYS. Our results showed that QTL analysis for detecting TKW or KNS alleles useful for improving grain yield potential should consider the pleiotropic effects of the QTL or the association to other QTLs.
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spelling pubmed-57642422018-01-23 Genetic dissection of the relationships between grain yield components by genome-wide association mapping in a collection of tetraploid wheats Mangini, Giacomo Gadaleta, Agata Colasuonno, Pasqualina Marcotuli, Ilaria Signorile, Antonio M. Simeone, Rosanna De Vita, Pasquale Mastrangelo, Anna M. Laidò, Giovanni Pecchioni, Nicola Blanco, Antonio PLoS One Research Article Increasing grain yield potential in wheat has been a major target of most breeding programs. Genetic advance has been frequently hindered by negative correlations among yield components that have been often observed in segregant populations and germplasm collections. A tetraploid wheat collection was evaluated in seven environments and genotyped with a 90K SNP assay to identify major and stable quantitative trait loci (QTL) for grain yield per spike (GYS), kernel number per spike (KNS) and thousand-kernel weight (TKW), and to analyse the genetic relationships between the yield components at QTL level. The genome-wide association analysis detected eight, eleven and ten QTL for KNS, TKW and GYS, respectively, significant in at least three environments or two environments and the mean across environments. Most of the QTL for TKW and KNS were found located in different marker intervals, indicating that they are genetically controlled independently by each other. Out of eight KNS QTL, three were associated to significant increases of GYS, while the increased grain number of five additional QTL was completely or partially compensated by decreases in grain weight, thus producing no or reduced effects on GYS. Similarly, four consistent and five suggestive TKW QTL resulted in visible increase of GYS, while seven additional QTL were associated to reduced effects in grain number and no effects on GYS. Our results showed that QTL analysis for detecting TKW or KNS alleles useful for improving grain yield potential should consider the pleiotropic effects of the QTL or the association to other QTLs. Public Library of Science 2018-01-11 /pmc/articles/PMC5764242/ /pubmed/29324803 http://dx.doi.org/10.1371/journal.pone.0190162 Text en © 2018 Mangini et al http://creativecommons.org/licenses/by/4.0/ 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 author and source are credited.
spellingShingle Research Article
Mangini, Giacomo
Gadaleta, Agata
Colasuonno, Pasqualina
Marcotuli, Ilaria
Signorile, Antonio M.
Simeone, Rosanna
De Vita, Pasquale
Mastrangelo, Anna M.
Laidò, Giovanni
Pecchioni, Nicola
Blanco, Antonio
Genetic dissection of the relationships between grain yield components by genome-wide association mapping in a collection of tetraploid wheats
title Genetic dissection of the relationships between grain yield components by genome-wide association mapping in a collection of tetraploid wheats
title_full Genetic dissection of the relationships between grain yield components by genome-wide association mapping in a collection of tetraploid wheats
title_fullStr Genetic dissection of the relationships between grain yield components by genome-wide association mapping in a collection of tetraploid wheats
title_full_unstemmed Genetic dissection of the relationships between grain yield components by genome-wide association mapping in a collection of tetraploid wheats
title_short Genetic dissection of the relationships between grain yield components by genome-wide association mapping in a collection of tetraploid wheats
title_sort genetic dissection of the relationships between grain yield components by genome-wide association mapping in a collection of tetraploid wheats
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5764242/
https://www.ncbi.nlm.nih.gov/pubmed/29324803
http://dx.doi.org/10.1371/journal.pone.0190162
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