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Mapping dynamic QTL dissects the genetic architecture of grain size and grain filling rate at different grain-filling stages in barley

Grain filling is an important growth process in formation of yield and quality for barley final yield determination. To explore the grain development behavior during grain filling period in barley, a high-density genetic map with 1962 markers deriving from a doubled haploid (DH) population of 122 li...

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Autores principales: Du, Binbin, Wang, Qifei, Sun, Genlou, Ren, Xifeng, Cheng, Yun, Wang, Yixiang, Gao, Song, Li, Chengdao, Sun, Dongfa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6906516/
https://www.ncbi.nlm.nih.gov/pubmed/31827117
http://dx.doi.org/10.1038/s41598-019-53620-5
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author Du, Binbin
Wang, Qifei
Sun, Genlou
Ren, Xifeng
Cheng, Yun
Wang, Yixiang
Gao, Song
Li, Chengdao
Sun, Dongfa
author_facet Du, Binbin
Wang, Qifei
Sun, Genlou
Ren, Xifeng
Cheng, Yun
Wang, Yixiang
Gao, Song
Li, Chengdao
Sun, Dongfa
author_sort Du, Binbin
collection PubMed
description Grain filling is an important growth process in formation of yield and quality for barley final yield determination. To explore the grain development behavior during grain filling period in barley, a high-density genetic map with 1962 markers deriving from a doubled haploid (DH) population of 122 lines was used to identify dynamic quantitative trait locus (QTL) for grain filling rate (GFR) and five grain size traits: grain area (GA), grain perimeter (GP), grain length (GL), grain width (GW) and grain diameter (GD). Unconditional QTL mapping is to detect the cumulative effect of genetic factors on a phenotype from development to a certain stage. Conditional QTL mapping is to detect a net effect of genetic factors on the phenotype at adjacent time intervals. Using unconditional, conditional and covariate QTL mapping methods, we successfully detected 34 major consensus QTLs. Moreover, certain candidate genes related to grain size, plant height, yield, and starch synthesis were identified in six QTL clusters, and individual gene was specifically expressed in different grain filling stages. These findings provide useful information for understanding the genetic basis of the grain filling dynamic process and will be useful for molecular marker-assisted selection in barley breeding.
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spelling pubmed-69065162019-12-13 Mapping dynamic QTL dissects the genetic architecture of grain size and grain filling rate at different grain-filling stages in barley Du, Binbin Wang, Qifei Sun, Genlou Ren, Xifeng Cheng, Yun Wang, Yixiang Gao, Song Li, Chengdao Sun, Dongfa Sci Rep Article Grain filling is an important growth process in formation of yield and quality for barley final yield determination. To explore the grain development behavior during grain filling period in barley, a high-density genetic map with 1962 markers deriving from a doubled haploid (DH) population of 122 lines was used to identify dynamic quantitative trait locus (QTL) for grain filling rate (GFR) and five grain size traits: grain area (GA), grain perimeter (GP), grain length (GL), grain width (GW) and grain diameter (GD). Unconditional QTL mapping is to detect the cumulative effect of genetic factors on a phenotype from development to a certain stage. Conditional QTL mapping is to detect a net effect of genetic factors on the phenotype at adjacent time intervals. Using unconditional, conditional and covariate QTL mapping methods, we successfully detected 34 major consensus QTLs. Moreover, certain candidate genes related to grain size, plant height, yield, and starch synthesis were identified in six QTL clusters, and individual gene was specifically expressed in different grain filling stages. These findings provide useful information for understanding the genetic basis of the grain filling dynamic process and will be useful for molecular marker-assisted selection in barley breeding. Nature Publishing Group UK 2019-12-11 /pmc/articles/PMC6906516/ /pubmed/31827117 http://dx.doi.org/10.1038/s41598-019-53620-5 Text en © The Author(s) 2019 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Du, Binbin
Wang, Qifei
Sun, Genlou
Ren, Xifeng
Cheng, Yun
Wang, Yixiang
Gao, Song
Li, Chengdao
Sun, Dongfa
Mapping dynamic QTL dissects the genetic architecture of grain size and grain filling rate at different grain-filling stages in barley
title Mapping dynamic QTL dissects the genetic architecture of grain size and grain filling rate at different grain-filling stages in barley
title_full Mapping dynamic QTL dissects the genetic architecture of grain size and grain filling rate at different grain-filling stages in barley
title_fullStr Mapping dynamic QTL dissects the genetic architecture of grain size and grain filling rate at different grain-filling stages in barley
title_full_unstemmed Mapping dynamic QTL dissects the genetic architecture of grain size and grain filling rate at different grain-filling stages in barley
title_short Mapping dynamic QTL dissects the genetic architecture of grain size and grain filling rate at different grain-filling stages in barley
title_sort mapping dynamic qtl dissects the genetic architecture of grain size and grain filling rate at different grain-filling stages in barley
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6906516/
https://www.ncbi.nlm.nih.gov/pubmed/31827117
http://dx.doi.org/10.1038/s41598-019-53620-5
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