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利用连续性状数据将神秘的、最近灭绝的或假设的分类单元纳入超度量系统发育树:以蜥蜴罗斯福安乐蜥为例的研究。

Placing cryptic, recently extinct, or hypothesized taxa into an ultrametric phylogeny using continuous character data: a case study with the lizard Anolis roosevelti.

作者信息

Revell Liam J, Mahler D Luke, Reynolds R Graham, Slater Graham J

机构信息

Department of Biology, University of Massachusetts Boston, Boston, Massachusetts, 02125.

出版信息

Evolution. 2015 Apr;69(4):1027-35. doi: 10.1111/evo.12628. Epub 2015 Mar 23.

Abstract

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.

摘要

近年来,人们投入了巨大的精力和资金来构建生命之树:即地球上所有物种的系统发育史。总体而言,构建生物系统发育图谱这一不断完善的进程主要是通过对分子数据的精密分析来实现的。在现代基因组时代,获取许多物种的分子遗传数据变得非常容易且成本低廉。然而,一些谱系在组织样本库中的代表性不足或根本没有,或者由于诸如严格的生物样本出口法律等其他原因而无法进行分子分析。其他一些物种最近灭绝了,仅保存在福尔马林浸泡的博物馆标本中,甚至可能只是亚化石。在这篇简短的通讯中,我们提出了一种新方法,利用连续性状数据将隐秘的、最近灭绝的或假设的分类单元置于现存分类单元的超度量系统发育树中。该方法基于对一种既定的从连续性状推断系统发育的最大似然(ML)方法的相对简单修改。我们表明该方法在模拟树和数据上效果良好。然后我们将其应用于把库莱布拉岛巨型安乐蜥(Anolis roosevelti)置于加勒比安乐蜥系统发育树的案例中。Anolis roosevelti是一种“冠层巨型”生态形态安乐蜥,据推测曾在西班牙、美国和英属维尔京群岛广泛分布,但自20世纪30年代以来就再也没有被发现或采集到。尽管普遍认为该物种与波多黎各巨型安乐蜥A. cuvieri关系密切,但我们的ML方法实际上将A. roosevelti置于系统发育树的不同位置,且与形态相似的一个分支密切相关。然而,我们无法排除A. roosevelti作为A. cuvieri姐妹分类单元的系统发育位置;尽管我们的方法强烈否定了它与其余波多黎各安乐蜥物种的密切关系。

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