期刊
MOLECULAR ECOLOGY
卷 30, 期 15, 页码 3688-3702出版社
WILEY
DOI: 10.1111/mec.16000
关键词
admixture; approximate Bayesian computation; hybridisation; introgression; wildcat
资金
- Natural Environment Research Council
This study demonstrates the presence of a population of Scottish wildcats genetically distinct from domestic cats, with high levels of gene-flow between the two populations. Most wild-living cats sampled showed evidence of introgression, and the model predicted significant recent hybridization after the captive breeding population was founded.
While hybridisation has long been recognised as an important natural phenomenon in evolution, the conservation of taxa subject to introgressive hybridisation from domesticated forms is a subject of intense debate. Hybridisation of Scottish wildcats and domestic cats is a good example in this regard. Here, we developed a modelling framework to determine the timescale of introgression using approximate Bayesian computation (ABC). Applying the model to ddRAD-seq data from 129 individuals, genotyped at 6546 loci, we show that a population of wildcats genetically distant from domestic cats is still present in Scotland. These individuals were found almost exclusively within the captive breeding programme. Most wild-living cats sampled were introgressed to some extent. The demographic model predicts high levels of gene-flow between domestic cats and Scottish wildcats (13% migrants per generation) over a short timeframe, the posterior mean for the onset of hybridisation (T-1) was 3.3 generations (similar to 10 years) before present. Although the model had limited power to detect signals of ancient admixture, we found evidence that significant recent hybridisation may have occurred subsequent to the founding of the captive breeding population (T-2). The model consistently predicts T-1 after T-2, estimated here to be 19.3 generations (similar to 60 years) ago, highlighting the importance of this population as a resource for conservation management. Additionally, we evaluate the effectiveness of current methods to classify hybrids. We show that an optimised 35 SNP panel is a better predictor of the ddRAD-based hybrid score in comparison with a morphological method.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据