Prediction of heterosis in the recent rapeseed (Brassica napus) polyploid by pairing parental nucleotide sequences.

The utilization of heterosis is a successful strategy in increasing yield for many crops. However, it consumes tremendous manpower to test the combining ability of the parents in fields. Here, we applied the genomic-selection (GS) strategy and developed models that significantly increase the predict...

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Auteurs principaux:	Qian Wang, Tao Yan, Zhengbiao Long, Luna Yue Huang, Yang Zhu, Ying Xu, Xiaoyang Chen, Haksong Pak, Jiqiang Li, Dezhi Wu, Yang Xu, Shuijin Hua, Lixi Jiang
Format:	article
Langue:	EN
Publié:	Public Library of Science (PLoS) 2021
Sujets:	Genetics QH426-470
Accès en ligne:	https://doaj.org/article/36f0748c3df44e9e8faad8df0ee6eeee
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spelling	oai:doaj.org-article:36f0748c3df44e9e8faad8df0ee6eeee2021-12-02T20:03:16ZPrediction of heterosis in the recent rapeseed (Brassica napus) polyploid by pairing parental nucleotide sequences.1553-73901553-740410.1371/journal.pgen.1009879https://doaj.org/article/36f0748c3df44e9e8faad8df0ee6eeee2021-11-01T00:00:00Zhttps://doi.org/10.1371/journal.pgen.1009879https://doaj.org/toc/1553-7390https://doaj.org/toc/1553-7404The utilization of heterosis is a successful strategy in increasing yield for many crops. However, it consumes tremendous manpower to test the combining ability of the parents in fields. Here, we applied the genomic-selection (GS) strategy and developed models that significantly increase the predictability of heterosis by introducing the concept of a regional parental genetic-similarity index (PGSI) and reducing dimension in the calculation matrix in a machine-learning approach. Overall, PGSI negatively affected grain yield and several other traits but positively influenced the thousand-seed weight of the hybrids. It was found that the C subgenome of rapeseed had a greater impact on heterosis than the A subgenome. We drew maps with overviews of quantitative-trait loci that were responsible for the heterosis (h-QTLs) of various agronomic traits. Identifications and annotations of genes underlying high impacting h-QTLs were provided. Using models that we elaborated, combining abilities between an Ogu-CMS-pool member and a potential restorer can be simulated in silico, sidestepping laborious work, such as testing crosses in fields. The achievements here provide a case of heterosis prediction in polyploid genomes with relatively large genome sizes.Qian WangTao YanZhengbiao LongLuna Yue HuangYang ZhuYing XuXiaoyang ChenHaksong PakJiqiang LiDezhi WuYang XuShuijin HuaLixi JiangPublic Library of Science (PLoS)articleGeneticsQH426-470ENPLoS Genetics, Vol 17, Iss 11, p e1009879 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Genetics QH426-470
spellingShingle	Genetics QH426-470 Qian Wang Tao Yan Zhengbiao Long Luna Yue Huang Yang Zhu Ying Xu Xiaoyang Chen Haksong Pak Jiqiang Li Dezhi Wu Yang Xu Shuijin Hua Lixi Jiang Prediction of heterosis in the recent rapeseed (Brassica napus) polyploid by pairing parental nucleotide sequences.
description	The utilization of heterosis is a successful strategy in increasing yield for many crops. However, it consumes tremendous manpower to test the combining ability of the parents in fields. Here, we applied the genomic-selection (GS) strategy and developed models that significantly increase the predictability of heterosis by introducing the concept of a regional parental genetic-similarity index (PGSI) and reducing dimension in the calculation matrix in a machine-learning approach. Overall, PGSI negatively affected grain yield and several other traits but positively influenced the thousand-seed weight of the hybrids. It was found that the C subgenome of rapeseed had a greater impact on heterosis than the A subgenome. We drew maps with overviews of quantitative-trait loci that were responsible for the heterosis (h-QTLs) of various agronomic traits. Identifications and annotations of genes underlying high impacting h-QTLs were provided. Using models that we elaborated, combining abilities between an Ogu-CMS-pool member and a potential restorer can be simulated in silico, sidestepping laborious work, such as testing crosses in fields. The achievements here provide a case of heterosis prediction in polyploid genomes with relatively large genome sizes.
format	article
author	Qian Wang Tao Yan Zhengbiao Long Luna Yue Huang Yang Zhu Ying Xu Xiaoyang Chen Haksong Pak Jiqiang Li Dezhi Wu Yang Xu Shuijin Hua Lixi Jiang
author_facet	Qian Wang Tao Yan Zhengbiao Long Luna Yue Huang Yang Zhu Ying Xu Xiaoyang Chen Haksong Pak Jiqiang Li Dezhi Wu Yang Xu Shuijin Hua Lixi Jiang
author_sort	Qian Wang
title	Prediction of heterosis in the recent rapeseed (Brassica napus) polyploid by pairing parental nucleotide sequences.
title_short	Prediction of heterosis in the recent rapeseed (Brassica napus) polyploid by pairing parental nucleotide sequences.
title_full	Prediction of heterosis in the recent rapeseed (Brassica napus) polyploid by pairing parental nucleotide sequences.
title_fullStr	Prediction of heterosis in the recent rapeseed (Brassica napus) polyploid by pairing parental nucleotide sequences.
title_full_unstemmed	Prediction of heterosis in the recent rapeseed (Brassica napus) polyploid by pairing parental nucleotide sequences.
title_sort	prediction of heterosis in the recent rapeseed (brassica napus) polyploid by pairing parental nucleotide sequences.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/36f0748c3df44e9e8faad8df0ee6eeee
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Prediction of heterosis in the recent rapeseed (Brassica napus) polyploid by pairing parental nucleotide sequences.

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