Ishigohoka Jun, Bascón-Cardozo Karen, Bours Andrea, Fuß Janina, Rhie Arang, Mountcastle Jacquelyn, Haase Bettina, Chow William, Collins Joanna, Howe Kerstin, Uliano-Silva Marcela, Fedrigo Olivier, Jarvis Erich D, Pérez-Tris Javier, Illera Juan Carlos, Liedvogel Miriam
Max Planck Institute for Evolutionary Biology, Plön, Germany.
Institute of Clinical Molecular Biology (IKMB), Kiel University, Kiel, Germany.
Evolution. 2024 Dec 2;78(12):1916-1935. doi: 10.1093/evolut/qpae117.
Genomic regions sometimes show patterns of genetic variation distinct from the genome-wide population structure. Such deviations have often been interpreted to represent effects of selection. However, systematic investigation of whether and how non-selective factors, such as recombination rates, can affect distinct patterns has been limited. Here, we associate distinct patterns of genetic variation with reduced recombination rates in a songbird, the Eurasian blackcap (Sylvia atricapilla), using a new reference genome assembly, whole-genome resequencing data and recombination maps. We find that distinct patterns of genetic variation reflect haplotype structure at genomic regions with different prevalence of reduced recombination rate across populations. At low-recombining regions shared in most populations, distinct patterns reflect conspicuous haplotypes segregating in multiple populations. At low-recombining regions found only in a few populations, distinct patterns represent variance among cryptic haplotypes within the low-recombining populations. With simulations, we confirm that these distinct patterns evolve neutrally by reduced recombination rate, on which the effects of selection can be overlaid. Our results highlight that distinct patterns of genetic variation can emerge through evolutionary reduction of local recombination rate. The recombination landscape as an evolvable trait therefore plays an important role determining the heterogeneous distribution of genetic variation along the genome.
基因组区域有时会呈现出与全基因组群体结构不同的遗传变异模式。这种偏差常常被解释为选择作用的结果。然而,对于诸如重组率等非选择性因素是否以及如何影响这些不同模式的系统研究一直很有限。在这里,我们利用新的参考基因组组装、全基因组重测序数据和重组图谱,将遗传变异的不同模式与一种鸣禽——欧亚黑头莺(Sylvia atricapilla)中降低的重组率联系起来。我们发现,遗传变异的不同模式反映了全基因组区域的单倍型结构,这些区域在不同群体中具有不同程度的重组率降低现象。在大多数群体共有的低重组区域,不同模式反映了在多个群体中分离的明显单倍型。在仅在少数群体中发现的低重组区域,不同模式代表了低重组群体中隐秘单倍型之间的差异。通过模拟,我们证实这些不同模式是通过降低重组率而中性进化的,选择作用可以叠加在这一过程之上。我们的结果表明,遗传变异的不同模式可以通过局部重组率的进化降低而出现。因此,作为一种可进化特征的重组景观在决定遗传变异沿基因组的异质分布方面起着重要作用。