Kawakami Takeshi, Mugal Carina F, Suh Alexander, Nater Alexander, Burri Reto, Smeds Linnéa, Ellegren Hans
Department of Evolutionary Biology, Evolutionary Biology Centre (EBC), Uppsala University, Uppsala, Sweden.
Department of Animal and Plant Sciences, University of Sheffield, Sheffield, UK.
Mol Ecol. 2017 Aug;26(16):4158-4172. doi: 10.1111/mec.14197. Epub 2017 Jul 5.
Recombination rate is heterogeneous across the genome of various species and so are genetic diversity and differentiation as a consequence of linked selection. However, we still lack a clear picture of the underlying mechanisms for regulating recombination. Here we estimated fine-scale population recombination rate based on the patterns of linkage disequilibrium across the genomes of multiple populations of two closely related flycatcher species (Ficedula albicollis and F. hypoleuca). This revealed an overall conservation of the recombination landscape between these species at the scale of 200 kb, but we also identified differences in the local rate of recombination despite their recent divergence (<1 million years). Genetic diversity and differentiation were associated with recombination rate in a lineage-specific manner, indicating differences in the extent of linked selection between species. We detected 400-3,085 recombination hotspots per population. Location of hotspots was conserved between species, but the intensity of hotspot activity varied between species. Recombination hotspots were primarily associated with CpG islands (CGIs), regardless of whether CGIs were at promoter regions or away from genes. Recombination hotspots were also associated with specific transposable elements (TEs), but this association appears indirect due to shared preferences of the transposition machinery and the recombination machinery for accessible open chromatin regions. Our results suggest that CGIs are a major determinant of the localization of recombination hotspots, and we propose that both the distribution of TEs and fine-scale variation in recombination rate may be associated with the evolution of the epigenetic landscape.
重组率在不同物种的基因组中是不均匀的,由于连锁选择,遗传多样性和分化也是如此。然而,我们仍然缺乏对调节重组潜在机制的清晰认识。在这里,我们基于两种亲缘关系密切的鹟科物种(白颈姬鹟和极北姬鹟)多个种群基因组中的连锁不平衡模式,估计了精细尺度的种群重组率。这揭示了在200 kb尺度上这些物种之间重组景观的总体保守性,但我们也发现尽管它们最近才分化(<100万年),局部重组率仍存在差异。遗传多样性和分化以谱系特异性方式与重组率相关,表明物种间连锁选择程度存在差异。我们在每个种群中检测到400 - 3085个重组热点。热点的位置在物种间是保守的,但热点活动的强度在物种间有所不同。重组热点主要与CpG岛(CGIs)相关,无论CGIs是在启动子区域还是远离基因。重组热点也与特定的转座元件(TEs)相关,但由于转座机制和重组机制对可及开放染色质区域的共同偏好,这种关联似乎是间接的。我们的结果表明,CGIs是重组热点定位的主要决定因素,并且我们提出TEs的分布和重组率的精细尺度变化都可能与表观遗传景观的进化有关。