首页> 外文期刊>Evolution: International Journal of Organic Evolution >Placing cryptic, recently extinct, or hypothesized taxa into an ultrametric phylogeny using continuous character data: A case study with the lizard Anolis roosevelti
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Placing cryptic, recently extinct, or hypothesized taxa into an ultrametric phylogeny using continuous character data: A case study with the lizard Anolis roosevelti

机译:使用连续性状数据将隐性,新近灭绝或假想的分类群放入超系统发育史:以蜥蜴Anolis roosevelti为例的研究

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摘要

In recent years, enormous effort and investment has been put into assembling the tree of life: a phylogenetic history for all species on Earth. Overwhelmingly, this progress toward building an ever increasingly complete phylogeny of living things has been accomplished through sophisticated analysis of molecular data. In the modern genomic age, molecular genetic data have become very easy and inexpensive to obtain for many species. However, some lineages are poorly represented in or absent from tissue collections, or are unavailable for molecular analysis for other reasons such as restrictive biological sample export laws. Other species went extinct recently and are only available in formalin museum preparations or perhaps even as subfossils. In this brief communication we present a new method for placing cryptic, recently extinct, or hypothesized taxa into an ultrametric phylogeny of extant taxa using continuous character data. This method is based on a relatively simple modification of an established maximum likelihood (ML) method for phylogeny inference from continuous traits. We show that the method works well on simulated trees and data. We then apply it to the case of placing the Culebra Island Giant Anole (Anolis roosevelti) into a phylogeny of Caribbean anoles. Anolis roosevelti is a crown-giant ecomorph anole hypothesized to have once been found throughout the Spanish, United States, and British Virgin Islands, but that has not been encountered or collected since the 1930s. Although this species is widely thought to be closely related to the Puerto Rican giant anole, A. cuvieri, our ML method actually places A. roosevelti in a different part of the tree and closely related to a clade of morphologically similar species. We are unable, however, to reject a phylogenetic position for A. roosevelti that places it as sister taxon to A. cuvieri; although close relationship with the remainder of Puerto Rican anole species is strongly rejected by our method.
机译:近年来,人们在组装生命树方面付出了巨大的努力和投入:这是地球上所有物种的系统进化史。绝大多数情况下,通过对分子数据进行复杂的分析,已经朝着建立越来越完整的生物系统发育方面取得了进展。在现代基因组时代,许多物种的分子遗传数据变得非常容易且廉价。但是,某些谱系在组织集合中的表现不佳或不存在,或者由于其他原因(例如限制性的生物样品输出法)而无法用于分子分析。其他物种最近灭绝了,只能在福尔马林博物馆的准备工作中使用,甚至可能以亚化石的形式使用。在此简短的交流中,我们介绍了一种使用连续字符数据将隐性,新近灭绝或假设的分类单元放入现存分类单元的超系统系统学中的新方法。该方法基于对已建立的最大似然(ML)方法的相对简单修改,该方法用于从连续性状进行系统发育推断。我们证明该方法在模拟树和数据上效果很好。然后,我们将其应用于将库莱布拉岛巨型Anole(Anolis roosevelti)放入加勒比海Anol系统发育的案例。 Anolis roosevelti是一种冠状巨人形态的大环猿,据推测曾经在西班牙,美国和英属维尔京群岛发现过,但自1930年代以来从未见过或收集过。尽管人们普遍认为该物种与波多黎各巨型Anole cuvieri密切相关,但我们的ML方法实际上将A. roosevelti放置在树的不同部分,并且与形态相似的物种进化枝密切相关。但是,我们无法拒绝罗斯福拟南芥的系统发育地位,而将其定位为美洲拟南芥的姊妹分类群。尽管我们的方法强烈拒绝了与波多黎各人其他物种的紧密联系。

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