Evaluating evidence for co-geography in the Anopheles-Plasmodium host-parasite system.
Evaluating evidence for co-geography in the Anopheles-Plasmodium host-parasite system.
复制标题
评估按蚊-疟原虫宿主-寄生虫系统中协同地理学的证据。
DOI：
10.1101/2023.07.17.549405
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发表时间：
2023
期刊：
影响因子：
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通讯作者：
Kern,AndrewD
中科院分区：
文献类型：
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作者：
Rehmann,ClaraT;Ralph,PeterL;Kern,AndrewD
寄生物和寄主之间的紧密联系意味着，在某些情况下，这两个物种的进化史可以在时间和空间上紧密结合。利用空间遗传推断，我们通过地理采样位置与基因组预测的地理位置差异的种间相关性，确定了冈比亚按蚊和恶性疟原虫-寄生虫系统中共同传播模式的潜在信号。这种相关性可能是由于宿主和寄生虫之间的耦合扩散动力学，但也可能反映了由于采样地点空间分布不均匀而造成的统计伪影。利用连续空间群体遗传学模拟，我们研究了采样位置分布不均匀导致遗传数据预测空间位置偏差的程度，并实施了应对这种影响的方法。我们证明，虽然算法偏差在空间遗传数据的推理中提出了一个问题，但在空间遗传数据之间的相关结构。gambiaeandP。恶性疟原虫的预测不能仅仅归因于空间偏差，因此很可能是宿主-寄生虫系统中共同传播的遗传信号。
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 theAnopheles gambiaeandPlasmodium falciparumhost–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 betweenA. gambiaeandP. falciparumpredictions cannot be attributed to spatial bias alone and is thus likely a genetic signal of co-dispersal in a host–parasite system.