Bio-Evaluation Center, Korea Research Institute of Bioscience and Biotechnology, Cheongju, Chungbuk 28116, Republic of Korea.
National Institute of Crop Science, Rural Development Administration, Wanju, Jeonbuk 55365, Republic of Korea.
Genomics. 2020 Mar;112(2):1481-1489. doi: 10.1016/j.ygeno.2019.08.019. Epub 2019 Aug 25.
Recombination is a crucial component of evolution and breeding. New combinations of variation on chromosomes are shaped by recombination. Recombination is also involved in chromosomal rearrangements. However, recombination rates vary tremendously among chromosome segments. Genome-wide genetic maps are one of the best tools to study variation of recombination. Here, we describe high density genetic maps of Glycine max and Glycine soja constructed from four segregating populations. The maps were used to identify chromosomal rearrangements and find the highly predictable pattern of cross-overs on the broad scale in soybean. Markers on these genetic maps were used to evaluate assembly quality of the current soybean reference genome sequence. We find a strong inversion candidate larger than 3 Mb based on patterns of cross-overs. We also identify quantitative trait loci (QTL) that control number of cross-overs. This study provides fundamental insights relevant to practical strategy for breeding programs and for pan-genome researches.
重组是进化和育种的关键组成部分。染色体上变异的新组合由重组形成。重组也涉及染色体重排。然而,染色体片段之间的重组率差异很大。全基因组遗传图谱是研究重组变异的最佳工具之一。在这里,我们描述了来自四个分离群体的大豆和野生大豆的高密度遗传图谱。这些图谱被用来识别染色体重排,并在大豆的广泛范围内发现高度可预测的交叉模式。这些遗传图谱上的标记被用来评估当前大豆参考基因组序列的组装质量。我们根据交叉模式发现了一个大于 3Mb 的强烈反转候选者。我们还鉴定了控制交叉数量的数量性状位点 (QTL)。这项研究为育种计划和泛基因组研究的实用策略提供了重要的见解。