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深时系统发育网络的生物地理学。

The Biogeography of Deep Time Phylogenetic Reticulation.

机构信息

Department of Herpetology, The American Museum of Natural History, 79th Street at Central Park West, New York, NY 10024, USA.

出版信息

Syst Biol. 2018 Sep 1;67(5):743-744. doi: 10.1093/sysbio/syy019.

Abstract

Most phylogenies are typically represented as purely bifurcating. However, as genomic data have become more common in phylogenetic studies, it is not unusual to find reticulation among terminal lineages or among internal nodes (deep time reticulation; DTR). In these situations, gene flow must have happened in the same or adjacent geographic areas for these DTRs to have occurred and therefore biogeographic reconstruction should provide similar area estimates for parental nodes, provided extinction or dispersal has not eroded these patterns. We examine the phylogeny of the widely distributed New World kingsnakes (Lampropeltis), determine if DTR is present in this group, and estimate the ancestral area for reticulation. Importantly, we develop a new method that uses coalescent simulations in a machine learning framework to show conclusively that this phylogeny is best represented as reticulating at deeper time. Using joint probabilities of ancestral area reconstructions on the bifurcating parental lineages from the reticulating node, we show that this reticulation likely occurred in northwestern Mexico/southwestern US, and subsequently, led to the diversification of the Mexican kingsnakes. This region has been previously identified as an area important for understanding speciation and secondary contact with gene flow in snakes and other squamates. This research shows that phylogenetic reticulation is common, even in well-studied groups, and that the geographic scope of ancient hybridization is recoverable.

摘要

大多数系统发育通常被表示为纯粹的二分法。然而,随着基因组数据在系统发育研究中变得越来越普遍,发现终端谱系或内部节点(深时网状进化;DTR)之间的网状进化并不罕见。在这些情况下,基因流必须发生在相同或相邻的地理区域,以便发生这些 DTR,因此生物地理重建应该为父节点提供类似的区域估计,前提是灭绝或扩散没有侵蚀这些模式。我们检查了广泛分布的新大陆王蛇(Lampropeltis)的系统发育,确定该群体中是否存在 DTR,并估计网状进化的祖先区域。重要的是,我们开发了一种新方法,该方法使用机器学习框架中的合并模拟来明确表明,该系统发育在更深的时间更好地表示为网状进化。通过使用来自网状进化节点的分叉亲本谱系的祖先区域重建的联合概率,我们表明这种网状进化可能发生在墨西哥西北部/美国西南部,随后导致了墨西哥王蛇的多样化。该地区以前被确定为理解蛇类和其他有鳞目动物的物种形成和二次接触与基因流的重要区域。这项研究表明,即使在研究充分的群体中,系统发育网状进化也很常见,并且可以恢复古代杂交的地理范围。

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