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Breeding signature of combining ability improvement revealed by a genomic variation map from recurrent selection population in Brassica napus

Combining ability is crucial for parent selection in crop hybrid breeding. The present investigation and results had revealed the underlying genetic factors which might contribute in adequate combining ability, further assisting in enhancing heterosis and stability. Here, we conducted a large-scale...

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Autores principales: Zhao, Xinwang, Li, Bao, Zhang, Ka, Hu, Kaining, Yi, Bin, Wen, Jing, Ma, Chaozhi, Shen, Jinxiong, Fu, Tingdong, Tu, Jinxing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4944167/
https://www.ncbi.nlm.nih.gov/pubmed/27412721
http://dx.doi.org/10.1038/srep29553
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author Zhao, Xinwang
Li, Bao
Zhang, Ka
Hu, Kaining
Yi, Bin
Wen, Jing
Ma, Chaozhi
Shen, Jinxiong
Fu, Tingdong
Tu, Jinxing
author_facet Zhao, Xinwang
Li, Bao
Zhang, Ka
Hu, Kaining
Yi, Bin
Wen, Jing
Ma, Chaozhi
Shen, Jinxiong
Fu, Tingdong
Tu, Jinxing
author_sort Zhao, Xinwang
collection PubMed
description Combining ability is crucial for parent selection in crop hybrid breeding. The present investigation and results had revealed the underlying genetic factors which might contribute in adequate combining ability, further assisting in enhancing heterosis and stability. Here, we conducted a large-scale analysis of genomic variation in order to define genomic regions affecting the combining ability in recurrent selection population of rapeseed. A population of 175 individuals was genotyped with the Brassica60K SNP chip. 525 hybrids were assembled with three different testers and used to evaluate the general combining ability (GCA) in three environments. By detecting the changes of the genomic variation, we identified 376 potential genome regions, spanning 3.03% of rapeseed genome which provided QTL-level resolution on potentially selected variants. More than 96% of these regions were located in the C subgenome, indicating that C subgenome had sustained stronger selection pressure in the breeding program than the A subgenome. In addition, a high level of linkage disequilibrium in rapeseed genome was detected, suggesting that marker-assisted selection for the population improvement might be easily implemented. This study outlines the evidence for high GCA on a genomic level and provided underlying molecular mechanism for recurrent selection improvement in B. napus.
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spelling pubmed-49441672016-07-26 Breeding signature of combining ability improvement revealed by a genomic variation map from recurrent selection population in Brassica napus Zhao, Xinwang Li, Bao Zhang, Ka Hu, Kaining Yi, Bin Wen, Jing Ma, Chaozhi Shen, Jinxiong Fu, Tingdong Tu, Jinxing Sci Rep Article Combining ability is crucial for parent selection in crop hybrid breeding. The present investigation and results had revealed the underlying genetic factors which might contribute in adequate combining ability, further assisting in enhancing heterosis and stability. Here, we conducted a large-scale analysis of genomic variation in order to define genomic regions affecting the combining ability in recurrent selection population of rapeseed. A population of 175 individuals was genotyped with the Brassica60K SNP chip. 525 hybrids were assembled with three different testers and used to evaluate the general combining ability (GCA) in three environments. By detecting the changes of the genomic variation, we identified 376 potential genome regions, spanning 3.03% of rapeseed genome which provided QTL-level resolution on potentially selected variants. More than 96% of these regions were located in the C subgenome, indicating that C subgenome had sustained stronger selection pressure in the breeding program than the A subgenome. In addition, a high level of linkage disequilibrium in rapeseed genome was detected, suggesting that marker-assisted selection for the population improvement might be easily implemented. This study outlines the evidence for high GCA on a genomic level and provided underlying molecular mechanism for recurrent selection improvement in B. napus. Nature Publishing Group 2016-07-14 /pmc/articles/PMC4944167/ /pubmed/27412721 http://dx.doi.org/10.1038/srep29553 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Zhao, Xinwang
Li, Bao
Zhang, Ka
Hu, Kaining
Yi, Bin
Wen, Jing
Ma, Chaozhi
Shen, Jinxiong
Fu, Tingdong
Tu, Jinxing
Breeding signature of combining ability improvement revealed by a genomic variation map from recurrent selection population in Brassica napus
title Breeding signature of combining ability improvement revealed by a genomic variation map from recurrent selection population in Brassica napus
title_full Breeding signature of combining ability improvement revealed by a genomic variation map from recurrent selection population in Brassica napus
title_fullStr Breeding signature of combining ability improvement revealed by a genomic variation map from recurrent selection population in Brassica napus
title_full_unstemmed Breeding signature of combining ability improvement revealed by a genomic variation map from recurrent selection population in Brassica napus
title_short Breeding signature of combining ability improvement revealed by a genomic variation map from recurrent selection population in Brassica napus
title_sort breeding signature of combining ability improvement revealed by a genomic variation map from recurrent selection population in brassica napus
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4944167/
https://www.ncbi.nlm.nih.gov/pubmed/27412721
http://dx.doi.org/10.1038/srep29553
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