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

dc.contributor.authorJan, HU
dc.contributor.authorGuan, M
dc.contributor.authorYao, M
dc.contributor.authorLiu, W
dc.contributor.authorWei, D
dc.contributor.authorAbbadi, A
dc.contributor.authorZheng, M
dc.contributor.authorHe, X
dc.contributor.authorChen, H
dc.contributor.authorGuan, C
dc.contributor.authorNichols, RA
dc.contributor.authorSnowdon, RJ
dc.contributor.authorHua, W
dc.contributor.authorQian, L
dc.date.accessioned2019-03-28T10:52:57Z
dc.date.available2019-03-28T10:52:57Z
dc.date.issued2019-06-01
dc.identifier.citationJan, H., Guan, M., Yao, M., Liu, W., Wei, D., Abbadi, A., Zheng, M., He, X., Chen, H., Guan, C., Nichols, R., Snowdon, R., Hua, W. and Qian, L. (2019). Genome-wide haplotype analysis improves trait predictions in Brassica napus hybrids. Plant Science, [online] 283, pp.157-164. Available at: https://www.sciencedirect.com/science/article/pii/S0168945218314110?via%3Dihub [Accessed 28 Mar. 2019].en_US
dc.identifier.issn0168-9452
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/56553
dc.description.abstractCombining 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.en_US
dc.format.extent157 - 164
dc.publisherElsevieren_US
dc.relation.ispartofPlant Science
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.titleGenome-wide haplotype analysis improves trait predictions in Brassica napus hybridsen_US
dc.typeArticleen_US
dc.rights.holder© 2019 The Authors.
dc.identifier.doi10.1016/j.plantsci.2019.02.007
pubs.notesNot knownen_US
pubs.publication-statusAccepteden_US
pubs.volume283en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US
qmul.funderINTERCROSSING::EUROPEAN COMMISSIONen_US


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This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Except where otherwise noted, this item's license is described as This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.