Roesti Marius, Gavrilets Sergey, Hendry Andrew P, Salzburger Walter, Berner Daniel
Zoological Institute, University of Basel, Vesalgasse 1, 4051, Basel, Switzerland.
Mol Ecol. 2014 Aug;23(16):3944-56. doi: 10.1111/mec.12720. Epub 2014 Apr 5.
Parallel adaptation is common and may often occur from shared genetic variation, but the genomic consequences of this process remain poorly understood. We first use individual-based simulations to demonstrate that comparisons between populations adapted in parallel to similar environments from shared variation reveal a characteristic genomic signature around a selected locus: a low-divergence valley centred at the locus and flanked by twin peaks of high divergence. This signature is initiated by the hitchhiking of haplotype tracts differing between derived populations in the broader neighbourhood of the selected locus (driving the high-divergence twin peaks) and shared haplotype tracts in the tight neighbourhood of the locus (driving the low-divergence valley). This initial hitchhiking signature is reinforced over time because the selected locus acts as a barrier to gene flow from the source to the derived populations, thus promoting divergence by drift in its close neighbourhood. We next empirically confirm the peak-valley-peak signature by combining targeted and RAD sequence data at three candidate adaptation genes in multiple marine (source) and freshwater (derived) populations of threespine stickleback. Finally, we use a genome-wide screen for the peak-valley-peak signature to discover additional genome regions involved in parallel marine-freshwater divergence. Our findings offer a new explanation for heterogeneous genomic divergence and thus challenge the standard view that peaks in population divergence harbour divergently selected loci and that low-divergence regions result from balancing selection or localized introgression. We anticipate that genome scans for peak-valley-peak divergence signatures will promote the discovery of adaptation genes in other organisms.
平行适应很常见,且常常可能源于共享的遗传变异,但这一过程的基因组后果仍知之甚少。我们首先使用基于个体的模拟来证明,对从共享变异中平行适应相似环境的种群进行比较,会在选定基因座周围揭示出一种特征性的基因组特征:以该基因座为中心的低分化谷,两侧是高分化的双峰。这种特征是由在选定基因座更广泛邻域内衍生种群之间不同的单倍型片段的搭便车效应(驱动高分化双峰)以及基因座紧密邻域内共享的单倍型片段(驱动低分化谷)引发的。随着时间的推移,这种最初的搭便车特征会得到强化,因为选定基因座充当了从源种群到衍生种群基因流动的障碍,从而通过其紧邻区域的漂变促进分化。接下来,我们通过结合三刺鱼多个海洋(源)和淡水(衍生)种群中三个候选适应基因的靶向和RAD序列数据,实证性地证实了峰 - 谷 - 峰特征。最后,我们使用全基因组筛选峰 - 谷 - 峰特征来发现参与平行海洋 - 淡水分化的其他基因组区域。我们的发现为异质基因组分化提供了新的解释,从而挑战了标准观点,即种群分化中的峰值包含差异选择的基因座,而低分化区域是由平衡选择或局部基因渗入导致的。我们预计,对峰 - 谷 - 峰分化特征的基因组扫描将促进在其他生物体中发现适应基因。