School of Biological Sciences, Washington State University, Pullman, Washington, 99164.
Plant Biology, University of Minnesota, Minneapolis, Minnesota, 55455.
Evolution. 2020 Jul;74(7):1392-1408. doi: 10.1111/evo.14023. Epub 2020 Jun 3.
Landscape genomics studies focus on identifying candidate genes under selection via spatial variation in abiotic environmental variables, but rarely by biotic factors (i.e., disease). The Tasmanian devil (Sarcophilus harrisii) is found only on the environmentally heterogeneous island of Tasmania and is threatened with extinction by a transmissible cancer, devil facial tumor disease (DFTD). Devils persist in regions of long-term infection despite epidemiological model predictions of species' extinction, suggesting possible adaptation to DFTD. Here, we test the extent to which spatial variation and genetic diversity are associated with the abiotic environment (i.e., climatic variables, elevation, vegetation cover) and/or DFTD. We employ genetic-environment association analyses using 6886 SNPs from 3287 individuals sampled pre- and post-disease arrival across the devil's geographic range. Pre-disease, we find significant correlations of allele frequencies with environmental variables, including 365 unique loci linked to 71 genes, suggesting local adaptation to abiotic environment. The majority of candidate loci detected pre-DFTD are not detected post-DFTD arrival. Several post-DFTD candidate loci are associated with disease prevalence and were in linkage disequilibrium with genes involved in tumor suppression and immune response. Loss of apparent signal of abiotic local adaptation post-disease suggests swamping by strong selection resulting from the rapid onset of DFTD.
景观基因组学研究侧重于通过非生物环境变量的空间变化来识别选择下的候选基因,但很少涉及生物因素(即疾病)。袋獾(Sarcophilus harrisii)仅分布在环境异质性很强的塔斯马尼亚岛上,目前正受到一种传染性癌症——袋獾面部肿瘤病(DFTD)的威胁。尽管传染病模型预测该物种将会灭绝,但袋獾在长期感染的地区仍然存在,这表明它们可能已经适应了 DFTD。在这里,我们检验了空间变异和遗传多样性与非生物环境(即气候变量、海拔、植被覆盖)和/或 DFTD 的关联程度。我们使用来自 3287 个个体的 6886 个 SNP 进行遗传环境关联分析,这些个体在疾病出现前后在袋獾的地理范围内进行了采样。在疾病出现之前,我们发现等位基因频率与环境变量之间存在显著的相关性,包括 365 个与 71 个基因相关的独特位点,这表明了对非生物环境的局部适应。在疾病出现之前检测到的大多数候选位点在疾病出现后都没有被检测到。一些疾病出现后的候选位点与疾病流行率相关,并且与参与肿瘤抑制和免疫反应的基因处于连锁不平衡状态。疾病出现后,非生物局部适应的明显信号丢失表明,由于 DFTD 的迅速发生,强烈的选择导致了这种信号的淹没。