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Mapping of quantitative trait loci for grain yield and its components in a US popular winter wheat TAM 111 using 90K SNPs

Stable quantitative trait loci (QTL) are important for deployment in marker assisted selection in wheat (Triticum aestivum L.) and other crops. We reported QTL discovery in wheat using a population of 217 recombinant inbred lines and multiple statistical approach including multi-environment, multi-t...

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Autores principales: Assanga, Silvano O., Fuentealba, Maria, Zhang, Guorong, Tan, ChorTee, Dhakal, Smit, Rudd, Jackie C., Ibrahim, Amir M. H., Xue, Qingwu, Haley, Scott, Chen, Jianli, Chao, Shiaoman, Baker, Jason, Jessup, Kirk, Liu, Shuyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5739412/
https://www.ncbi.nlm.nih.gov/pubmed/29267314
http://dx.doi.org/10.1371/journal.pone.0189669
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author Assanga, Silvano O.
Fuentealba, Maria
Zhang, Guorong
Tan, ChorTee
Dhakal, Smit
Rudd, Jackie C.
Ibrahim, Amir M. H.
Xue, Qingwu
Haley, Scott
Chen, Jianli
Chao, Shiaoman
Baker, Jason
Jessup, Kirk
Liu, Shuyu
author_facet Assanga, Silvano O.
Fuentealba, Maria
Zhang, Guorong
Tan, ChorTee
Dhakal, Smit
Rudd, Jackie C.
Ibrahim, Amir M. H.
Xue, Qingwu
Haley, Scott
Chen, Jianli
Chao, Shiaoman
Baker, Jason
Jessup, Kirk
Liu, Shuyu
author_sort Assanga, Silvano O.
collection PubMed
description Stable quantitative trait loci (QTL) are important for deployment in marker assisted selection in wheat (Triticum aestivum L.) and other crops. We reported QTL discovery in wheat using a population of 217 recombinant inbred lines and multiple statistical approach including multi-environment, multi-trait and epistatic interactions analysis. We detected nine consistent QTL linked to different traits on chromosomes 1A, 2A, 2B, 5A, 5B, 6A, 6B and 7A. Grain yield QTL were detected on chromosomes 2B.1 and 5B across three or four models of GenStat, MapQTL, and QTLNetwork while the QTL on chromosomes 5A.1, 6A.2, and 7A.1 were only significant with yield from one or two models. The phenotypic variation explained (PVE) by the QTL on 2B.1 ranged from 3.3–25.1% based on single and multi-environment models in GenStat and was pleiotropic or co-located with maturity (days to heading) and yield related traits (test weight, thousand kernel weight, harvest index). The QTL on 5B at 211 cM had PVE range of 1.8–9.3% and had no significant pleiotropic effects. Other consistent QTL detected in this study were linked to yield related traits and agronomic traits. The QTL on 1A was consistent for the number of spikes m(-2) across environments and all the four analysis models with a PVE range of 5.8–8.6%. QTL for kernels spike(-1) were found in chromosomes 1A, 2A.1, 2B.1, 6A.2, and 7A.1 with PVE ranged from 5.6–12.8% while QTL for thousand kernel weight were located on chromosomes 1A, 2B.1, 5A.1, 6A.2, 6B.1 and 7A.1 with PVEranged from 2.7–19.5%. Among the consistent QTL, five QTL had significant epistatic interactions (additive × additive) at least for one trait and none revealed significant additive × additive × environment interactions. Comparative analysis revealed that the region within the confidence interval of the QTL on 5B from 211.4–244.2 cM is also linked to genes for aspartate-semialdehyde dehydrogenase, splicing regulatory glutamine/lysine-rich protein 1 isoform X1, and UDP-glucose 6-dehydrogenase 1-like isoform X1. The stable QTL could be important for further validation, high throughput SNP development, and marker-assisted selection (MAS) in wheat.
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spelling pubmed-57394122018-01-10 Mapping of quantitative trait loci for grain yield and its components in a US popular winter wheat TAM 111 using 90K SNPs Assanga, Silvano O. Fuentealba, Maria Zhang, Guorong Tan, ChorTee Dhakal, Smit Rudd, Jackie C. Ibrahim, Amir M. H. Xue, Qingwu Haley, Scott Chen, Jianli Chao, Shiaoman Baker, Jason Jessup, Kirk Liu, Shuyu PLoS One Research Article Stable quantitative trait loci (QTL) are important for deployment in marker assisted selection in wheat (Triticum aestivum L.) and other crops. We reported QTL discovery in wheat using a population of 217 recombinant inbred lines and multiple statistical approach including multi-environment, multi-trait and epistatic interactions analysis. We detected nine consistent QTL linked to different traits on chromosomes 1A, 2A, 2B, 5A, 5B, 6A, 6B and 7A. Grain yield QTL were detected on chromosomes 2B.1 and 5B across three or four models of GenStat, MapQTL, and QTLNetwork while the QTL on chromosomes 5A.1, 6A.2, and 7A.1 were only significant with yield from one or two models. The phenotypic variation explained (PVE) by the QTL on 2B.1 ranged from 3.3–25.1% based on single and multi-environment models in GenStat and was pleiotropic or co-located with maturity (days to heading) and yield related traits (test weight, thousand kernel weight, harvest index). The QTL on 5B at 211 cM had PVE range of 1.8–9.3% and had no significant pleiotropic effects. Other consistent QTL detected in this study were linked to yield related traits and agronomic traits. The QTL on 1A was consistent for the number of spikes m(-2) across environments and all the four analysis models with a PVE range of 5.8–8.6%. QTL for kernels spike(-1) were found in chromosomes 1A, 2A.1, 2B.1, 6A.2, and 7A.1 with PVE ranged from 5.6–12.8% while QTL for thousand kernel weight were located on chromosomes 1A, 2B.1, 5A.1, 6A.2, 6B.1 and 7A.1 with PVEranged from 2.7–19.5%. Among the consistent QTL, five QTL had significant epistatic interactions (additive × additive) at least for one trait and none revealed significant additive × additive × environment interactions. Comparative analysis revealed that the region within the confidence interval of the QTL on 5B from 211.4–244.2 cM is also linked to genes for aspartate-semialdehyde dehydrogenase, splicing regulatory glutamine/lysine-rich protein 1 isoform X1, and UDP-glucose 6-dehydrogenase 1-like isoform X1. The stable QTL could be important for further validation, high throughput SNP development, and marker-assisted selection (MAS) in wheat. Public Library of Science 2017-12-21 /pmc/articles/PMC5739412/ /pubmed/29267314 http://dx.doi.org/10.1371/journal.pone.0189669 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Assanga, Silvano O.
Fuentealba, Maria
Zhang, Guorong
Tan, ChorTee
Dhakal, Smit
Rudd, Jackie C.
Ibrahim, Amir M. H.
Xue, Qingwu
Haley, Scott
Chen, Jianli
Chao, Shiaoman
Baker, Jason
Jessup, Kirk
Liu, Shuyu
Mapping of quantitative trait loci for grain yield and its components in a US popular winter wheat TAM 111 using 90K SNPs
title Mapping of quantitative trait loci for grain yield and its components in a US popular winter wheat TAM 111 using 90K SNPs
title_full Mapping of quantitative trait loci for grain yield and its components in a US popular winter wheat TAM 111 using 90K SNPs
title_fullStr Mapping of quantitative trait loci for grain yield and its components in a US popular winter wheat TAM 111 using 90K SNPs
title_full_unstemmed Mapping of quantitative trait loci for grain yield and its components in a US popular winter wheat TAM 111 using 90K SNPs
title_short Mapping of quantitative trait loci for grain yield and its components in a US popular winter wheat TAM 111 using 90K SNPs
title_sort mapping of quantitative trait loci for grain yield and its components in a us popular winter wheat tam 111 using 90k snps
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5739412/
https://www.ncbi.nlm.nih.gov/pubmed/29267314
http://dx.doi.org/10.1371/journal.pone.0189669
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