IST Austria, Klosterneuburg, Austria.
Animal & Plant Sciences, Western Bank, University of Sheffield, Sheffield, UK.
Mol Ecol. 2021 Aug;30(15):3797-3814. doi: 10.1111/mec.15861. Epub 2021 Jul 5.
Combining hybrid zone analysis with genomic data is a promising approach to understanding the genomic basis of adaptive divergence. It allows for the identification of genomic regions underlying barriers to gene flow. It also provides insights into spatial patterns of allele frequency change, informing about the interplay between environmental factors, dispersal and selection. However, when only a single hybrid zone is analysed, it is difficult to separate patterns generated by selection from those resulting from chance. Therefore, it is beneficial to look for repeatable patterns across replicate hybrid zones in the same system. We applied this approach to the marine snail Littorina saxatilis, which contains two ecotypes, adapted to wave-exposed rocks vs. high-predation boulder fields. The existence of numerous hybrid zones between ecotypes offered the opportunity to test for the repeatability of genomic architectures and spatial patterns of divergence. We sampled and phenotyped snails from seven replicate hybrid zones on the Swedish west coast and genotyped them for thousands of single nucleotide polymorphisms. Shell shape and size showed parallel clines across all zones. Many genomic regions showing steep clines and/or high differentiation were shared among hybrid zones, consistent with a common evolutionary history and extensive gene flow between zones, and supporting the importance of these regions for divergence. In particular, we found that several large putative inversions contribute to divergence in all locations. Additionally, we found evidence for consistent displacement of clines from the boulder-rock transition. Our results demonstrate patterns of spatial variation that would not be accessible without continuous spatial sampling, a large genomic data set and replicate hybrid zones.
结合杂种区分析和基因组数据是理解适应性分歧的基因组基础的一种很有前途的方法。它可以识别导致基因流动障碍的基因组区域。它还提供了有关等位基因频率变化的空间模式的见解,这些见解涉及环境因素、扩散和选择之间的相互作用。然而,当仅分析单个杂种区时,很难将选择产生的模式与偶然产生的模式分开。因此,在同一系统中寻找重复的杂种区模式是有益的。我们将这种方法应用于海洋蜗牛 Littorina saxatilis,它包含两个生态型,适应于波暴露的岩石与高捕食的卵石场。生态型之间存在许多杂种区,为测试基因组结构和分歧的空间模式的可重复性提供了机会。我们从瑞典西海岸的七个重复杂种区采样并表型分析了蜗牛,并对数千个单核苷酸多态性进行了基因分型。壳形和大小在所有区域都表现出平行的梯度。许多显示陡峭梯度和/或高分化的基因组区域在杂种区之间共享,这与共同的进化历史和区之间广泛的基因流一致,并支持这些区域对分歧的重要性。特别是,我们发现几个大的假定倒位在所有位置都有助于分歧。此外,我们发现了从卵石-岩石过渡到梯度一致位移的证据。我们的研究结果表明,如果没有连续的空间采样、大型基因组数据集和重复的杂种区,就不可能获得空间变化的模式。