Literature DB >> 31128685

Genome-wide haplotype analysis improves trait predictions in Brassica napus hybrids.

Habib U Jan1, Mei Guan2, Min Yao2, Wei Liu2, Dayong Wei3, Amine Abbadi4, Ming Zheng2, Xin He2, Hao Chen2, Chunyun Guan2, Richard A Nichols5, Rod J Snowdon6, Wei Hua7, Lunwen Qian8.   

Abstract

Combining ability is crucial for parent selection in crop hybrid breeding. Many studies have attempted to provide reliable and quick methods to identify genome regions in parental lines correlating with improved hybrid performance. The local haplotype patterns surrounding densely spaced DNA markers include a large amount of genetic information, and analysis of the relationships between haplotypes and hybrid performance can provide insight into the underlying genome regions which might contribute to enhancing combining ability. Here, we generated 24,403 single-copy, genome-wide SNP loci and calculated the general combining ability (GCA) of 950 hybrids from a diverse panel of 475 pollinators of spring-type canola inbred lines crossed with two testers for days to flowering (DTF) and seed glucosinolate content (GSL). We performed a genome-wide analysis of the haplotypes and detected eight and seven haplotype regions that were significantly associated with the GCA values for DTF and seed GSL, respectively. Additionally, two haplotype blocks containing orthologs of flowering time genes FLOWERING LOCUS T (FT) and FLOWERING LOCUS C (FLC) on chromosome A02 showed additive epistatic interactions influencing flowering time. Moreover, two homoeologous haplotype regions on chromosomes A02 and C02 corresponded to major quantitative trait loci (QTL) for GSL which showed additive effects related to reduction of seed GSL in F1 hybrids. Our study showed that haplotype analysis has the potential to substantially improve the efficiency of hybrid breeding programs.
Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Canola; Flowering time; GCA; GWAS; Glucosinolate; Haplotype

Mesh:

Year:  2019        PMID: 31128685     DOI: 10.1016/j.plantsci.2019.02.007

Source DB:  PubMed          Journal:  Plant Sci        ISSN: 0168-9452            Impact factor:   4.729


  8 in total

1.  Genomic insights into positive selection during barley domestication.

Authors:  Wenjing Tao; Jianxin Bian; Minqiang Tang; Yan Zeng; Ruihan Luo; Qinglin Ke; Tingting Li; Yihan Li; Licao Cui
Journal:  BMC Plant Biol       Date:  2022-06-01       Impact factor: 5.260

2.  GVCHAP: A Computing Pipeline for Genomic Prediction and Variance Component Estimation Using Haplotypes and SNP Markers.

Authors:  Dzianis Prakapenka; Chunkao Wang; Zuoxiang Liang; Cheng Bian; Cheng Tan; Yang Da
Journal:  Front Genet       Date:  2020-04-07       Impact factor: 4.599

3.  Genetic Characterization of Russian Rapeseed Collection and Association Mapping of Novel Loci Affecting Glucosinolate Content.

Authors:  Rim Gubaev; Lyudmila Gorlova; Stepan Boldyrev; Svetlana Goryunova; Denis Goryunov; Pavel Mazin; Alina Chernova; Elena Martynova; Yakov Demurin; Philipp Khaitovich
Journal:  Genes (Basel)       Date:  2020-08-12       Impact factor: 4.096

4.  Haplotype Analysis of Genomic Prediction Using Structural and Functional Genomic Information for Seven Human Phenotypes.

Authors:  Zuoxiang Liang; Cheng Tan; Dzianis Prakapenka; Li Ma; Yang Da
Journal:  Front Genet       Date:  2020-11-26       Impact factor: 4.599

5.  Multi-omics-based prediction of hybrid performance in canola.

Authors:  Dominic Knoch; Christian R Werner; Rhonda C Meyer; David Riewe; Amine Abbadi; Sophie Lücke; Rod J Snowdon; Thomas Altmann
Journal:  Theor Appl Genet       Date:  2021-02-01       Impact factor: 5.699

Review 6.  Features and applications of haplotypes in crop breeding.

Authors:  Javaid Akhter Bhat; Deyue Yu; Abhishek Bohra; Showkat Ahmad Ganie; Rajeev K Varshney
Journal:  Commun Biol       Date:  2021-11-04

7.  Construction of a Quantitative Genomic Map, Identification and Expression Analysis of Candidate Genes for Agronomic and Disease-Related Traits in Brassica napus.

Authors:  Nadia Raboanatahiry; Hongbo Chao; Jianjie He; Huaixin Li; Yongtai Yin; Maoteng Li
Journal:  Front Plant Sci       Date:  2022-03-11       Impact factor: 5.753

8.  Identification, Characterization, and Expression Profile Analysis of the mTERF Gene Family and Its Role in the Response to Abiotic Stress in Barley (Hordeum vulgare L.).

Authors:  Tingting Li; Wenqiu Pan; Yiyuan Yuan; Ying Liu; Yihan Li; Xiaoyu Wu; Fei Wang; Licao Cui
Journal:  Front Plant Sci       Date:  2021-07-15       Impact factor: 5.753

  8 in total

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