Genome-wide haplotype analysis improves trait predictions in Brassica napus hybrids
Habib U Jan
1, 2, 3
,
Mei Guan
4
,
Min YAO
4
,
Wei Liu
4
,
Dayong Wei
5
,
Amine Abbadi
6
,
Ming Zheng
4
,
Xin He
4
,
Hao Chen
4
,
Guan Chunyun
4
,
Richard A. Nichols
7
,
Rod Snowdon
8
,
Wei Hua
4
,
Lunwen Qian
1, 3
5
6
NPZ Innovation GmbH, Hohenlieth, 24363, Holtsee, Germany
|
Тип публикации: Journal Article
Дата публикации: 2019-06-01
scimago Q1
wos Q1
БС1
SJR: 1.186
CiteScore: 8.9
Impact factor: 4.1
ISSN: 01689452, 18732259
PubMed ID:
31128685
General Medicine
Genetics
Plant Science
Agronomy and Crop Science
Краткое описание
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.
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ГОСТ
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Jan H. U. et al. Genome-wide haplotype analysis improves trait predictions in Brassica napus hybrids // Plant Science. 2019. Vol. 283. pp. 157-164.
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Jan H. U., Guan M., YAO M., Liu W., Wei D., Abbadi A., Zheng M., He X., Chen H., Chunyun G., Nichols R. A., Snowdon R., Hua W., Qian L. Genome-wide haplotype analysis improves trait predictions in Brassica napus hybrids // Plant Science. 2019. Vol. 283. pp. 157-164.
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TY - JOUR
DO - 10.1016/j.plantsci.2019.02.007
UR - https://doi.org/10.1016/j.plantsci.2019.02.007
TI - Genome-wide haplotype analysis improves trait predictions in Brassica napus hybrids
T2 - Plant Science
AU - Jan, Habib U
AU - Guan, Mei
AU - YAO, Min
AU - Liu, Wei
AU - Wei, Dayong
AU - Abbadi, Amine
AU - Zheng, Ming
AU - He, Xin
AU - Chen, Hao
AU - Chunyun, Guan
AU - Nichols, Richard A.
AU - Snowdon, Rod
AU - Hua, Wei
AU - Qian, Lunwen
PY - 2019
DA - 2019/06/01
PB - Elsevier
SP - 157-164
VL - 283
PMID - 31128685
SN - 0168-9452
SN - 1873-2259
ER -
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BibTex (до 50 авторов)
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@article{2019_Jan,
author = {Habib U Jan and Mei Guan and Min YAO and Wei Liu and Dayong Wei and Amine Abbadi and Ming Zheng and Xin He and Hao Chen and Guan Chunyun and Richard A. Nichols and Rod Snowdon and Wei Hua and Lunwen Qian},
title = {Genome-wide haplotype analysis improves trait predictions in Brassica napus hybrids},
journal = {Plant Science},
year = {2019},
volume = {283},
publisher = {Elsevier},
month = {jun},
url = {https://doi.org/10.1016/j.plantsci.2019.02.007},
pages = {157--164},
doi = {10.1016/j.plantsci.2019.02.007}
}