INRAE-Université Clermont-Auvergne, UMR1095, Génétique Diversité Ecophysiologie des Céréales, Clermont-Ferrand, France.
INRAE, Université de Toulouse, GenPhySE, Castanet-Tolosan, France.
Genome Biol Evol. 2021 Aug 3;13(8). doi: 10.1093/gbe/evab152.
Reciprocal exchanges of DNA (crossovers) that occur during meiosis are mandatory to ensure the production of fertile gametes in sexually reproducing species. They also contribute to shuffle parental alleles into new combinations thereby fueling genetic variation and evolution. However, due to biological constraints, the recombination landscape is highly heterogeneous along the genome which limits the range of allelic combinations and the adaptability of populations. An approach to better understand the constraints on the recombination process is to study how it evolved in the past. In this work, we tackled this question by constructing recombination profiles in four diverging bread wheat (Triticum aestivum L.) populations established from 371 landraces genotyped at 200,062 SNPs. We used linkage disequilibrium (LD) patterns to estimate in each population the past distribution of recombination along the genome and characterize its fine-scale heterogeneity. At the megabase scale, recombination rates derived from LD patterns were consistent with family-based estimates obtained from a population of 406 recombinant inbred lines. Among the four populations, recombination landscapes were positively correlated between each other and shared a statistically significant proportion of highly recombinant intervals. However, this comparison also highlighted that the similarity in recombination landscapes between populations was significantly decreasing with their genetic differentiation in most regions of the genome. This observation was found to be robust to SNPs ascertainment and demography and suggests a relatively rapid evolution of factors determining the fine-scale localization of recombination in bread wheat.
减数分裂过程中发生的 DNA(交叉)相互交换对于确保有性生殖物种产生可育配子是必需的。它们还有助于将亲本等位基因重新组合成新的组合,从而推动遗传变异和进化。然而,由于生物限制,重组景观在基因组中高度异质,限制了等位基因组合的范围和群体的适应性。更好地了解重组过程的限制的一种方法是研究它在过去是如何进化的。在这项工作中,我们通过构建四个正在分化的面包小麦(Triticum aestivum L.)群体的重组图谱来解决这个问题,这些群体是由在 200,062 个 SNP 上进行基因分型的 371 个地方品种建立的。我们使用连锁不平衡(LD)模式来估计每个群体中过去基因组中重组的分布,并描述其精细尺度的异质性。在兆碱基尺度上,从 LD 模式得出的重组率与从包含 406 个重组自交系的群体中获得的基于家系的估计值一致。在四个群体中,重组景观之间彼此呈正相关,并且共享高度重组间隔的统计上显著比例。然而,这种比较也强调了群体之间重组景观的相似性随着它们在基因组大多数区域的遗传分化而显著降低。这种观察结果在 SNP 确定和人口统计学上是稳健的,表明决定面包小麦重组精细定位的因素在相对较快地进化。