Rehmann Clara T, Ralph Peter L, Kern Andrew D
University of Oregon, Institute of Ecology and Evolution and Department of Biology.
University of Oregon, Department of Mathematics.
bioRxiv. 2023 Nov 9:2023.07.17.549405. doi: 10.1101/2023.07.17.549405.
The often tight association between parasites and their hosts means that under certain scenarios, the evolutionary histories of the two species can become closely coupled both through time and across space. Using spatial genetic inference, we identify a potential signal of common dispersal patterns in the and host-parasite system as seen through a between-species correlation of the differences between geographic sampling location and geographic location predicted from the genome. This correlation may be due to coupled dispersal dynamics between host and parasite, but may also reflect statistical artifacts due to uneven spatial distribution of sampling locations. Using continuous-space population genetics simulations, we investigate the degree to which uneven distribution of sampling locations leads to bias in prediction of spatial location from genetic data and implement methods to counter this effect. We demonstrate that while algorithmic bias presents a problem in inference from spatio-genetic data, the correlation structure between and predictions cannot be attributed to spatial bias alone, and is thus likely a genetic signal of co-dispersal in a host-parasite system.
寄生虫与其宿主之间通常紧密的联系意味着，在某些情况下，这两个物种的进化历史在时间和空间上都可能紧密相连。通过空间遗传推断，我们在[具体宿主和寄生虫名称未给出]宿主 - 寄生虫系统中识别出一种潜在的共同扩散模式信号，这是通过地理采样位置与根据基因组预测的地理位置之间的种间差异相关性来观察到的。这种相关性可能是由于宿主和寄生虫之间耦合的扩散动态，但也可能反映了由于采样位置空间分布不均导致的统计假象。使用连续空间种群遗传学模拟，我们研究了采样位置的不均匀分布在从遗传数据预测空间位置时导致偏差的程度，并实施了应对这种影响的方法。我们证明，虽然算法偏差在从空间遗传数据进行推断时是一个问题，但[具体宿主和寄生虫名称未给出]预测之间的相关结构不能仅归因于空间偏差，因此很可能是宿主 - 寄生虫系统中共扩散的遗传信号。
