Open AccessPrediction of heterosis in the recent rapeseed (Brassica napus) polyploid by pairing parental nucleotide sequences
Author(s) -
Qian Wang,
Tao Yan,
Zhengbiao Long,
Longbo Huang,
Yun Zhu,
Ying Xu,
Xiaoyang Chen,
Haksong Pak,
Jiqiang Li,
Dezhi Wu,
Yongsheng Xu,
Shuijin Hua,
Lixi Jiang
Publication year - 2021
Publication title -
plos genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.587
H-Index - 233
eISSN - 1553-7404
pISSN - 1553-7390
DOI - 10.1371/journal.pgen.1009879
Subject(s) - heterosis , biology , polyploid , rapeseed , hybrid , genome , quantitative trait locus , genetics , brassica , doubled haploidy , microbiology and biotechnology , gene , agronomy
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.