Ladejobi Olufunmilayo, Mackay Ian J, Poland Jesse, Praud Sebastien, Hibberd Julian M, Bentley Alison R
The John Bingham Laboratory, NIAB, Cambridge, United Kingdom.
Department of Plant Sciences, The University of Cambridge, Cambridge, United Kingdom.
Front Plant Sci. 2019 Nov 8;10:1278. doi: 10.3389/fpls.2019.01278. eCollection 2019.
In this study, we anchored genotyping-by-sequencing data to the International Wheat Genome Sequencing Consortium Reference Sequence v1.0 assembly to generate over 40,000 high quality single nucleotide polymorphism markers on a panel of 376 elite European winter wheat varieties released between 1946 and 2007. We compared association mapping and genomic prediction accuracy for a range of productivity traits with previous results based on lower density dominant DArT markers. The results demonstrate that the availability of RefSeq v1.0 supports higher precision trait mapping and provides the density of markers required to obtain accurate predictions of traits controlled by multiple small effect loci, including grain yield.
在本研究中,我们将测序基因分型数据锚定到国际小麦基因组测序联盟参考序列v1.0组装上,以在一组1946年至2007年间发布的376个欧洲优良冬小麦品种上生成40000多个高质量单核苷酸多态性标记。我们将一系列生产力性状的关联图谱分析和基因组预测准确性与基于低密度显性DArT标记的先前结果进行了比较。结果表明,RefSeq v1.0的可用性支持更高精度的性状定位,并提供了获得由多个微效基因座控制的性状(包括籽粒产量)准确预测所需的标记密度。