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证据比对:关于在估计裸鳃亚目多角海牛亚目的系统发育时多重序列比对的问题。

Aligning evidence: concerns regarding multiple sequence alignments in estimating the phylogeny of the Nudibranchia suborder Doridina.

作者信息

Hallas Joshua M, Chichvarkhin Anton, Gosliner Terrence M

机构信息

Department of Biology, University of Nevada, Reno. 1664 N. Virginia St, Reno, NV 89557, USA.

Department of Invertebrate Zoology and Geology, California Academy of Sciences, 55 Music Concourse Dr Golden Gate Park, San Francisco, CA 94118, USA.

出版信息

R Soc Open Sci. 2017 Oct 25;4(10):171095. doi: 10.1098/rsos.171095. eCollection 2017 Oct.

Abstract

Molecular estimates of phylogenetic relationships rely heavily on multiple sequence alignment construction. There has been little consensus, however, on how to properly address issues pertaining to the alignment of variable regions. Here, we construct alignments from four commonly sequenced molecular markers (16S, 18S, 28S and cytochrome c oxidase subunit I) for the Nudibranchia using three different methodologies: (i) strict mathematical algorithm; (ii) exclusion of variable or divergent regions and (iii) manually curated, and examine how different alignment construction methods can affect phylogenetic signal and phylogenetic estimates for the suborder Doridina. Phylogenetic informativeness (PI) profiles suggest that the molecular markers tested lack the power to resolve relationships at the base of the Doridina, while being more robust at family-level classifications. This supports the lack of consistent resolution between the 19 families within the Doridina across all three alignments. Most of the 19 families were recovered as monophyletic, and instances of non-monophyletic families were consistently recovered between analyses. We conclude that the alignment of variable regions has some effect on phylogenetic estimates of the Doridina, but these effects can vary depending on the size and scope of the phylogenetic query and PI of molecular markers.

摘要

系统发育关系的分子估计在很大程度上依赖于多序列比对构建。然而,对于如何妥善处理与可变区比对相关的问题,几乎没有达成共识。在此,我们使用三种不同的方法,从裸鳃亚目常用测序的四个分子标记(16S、18S、28S和细胞色素c氧化酶亚基I)构建比对:(i)严格的数学算法;(ii)排除可变或分歧区域;(iii)人工编辑,并研究不同的比对构建方法如何影响多鳃海牛亚目的系统发育信号和系统发育估计。系统发育信息性(PI)概况表明,所测试的分子标记缺乏解析多鳃海牛亚目基部关系的能力,而在科级分类中更为稳健。这支持了在所有三种比对中,多鳃海牛亚目内19个科之间缺乏一致的解析度。19个科中的大多数被恢复为单系,并且在分析之间一致地恢复了非单系科的实例。我们得出结论,可变区的比对对多鳃海牛亚目的系统发育估计有一定影响,但这些影响可能因系统发育查询的大小和范围以及分子标记的PI而异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2657/5666284/9014b864fb2d/rsos171095-g1.jpg

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