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酵母物种描述中的系统发育:支持邻接法

Phylogenies in yeast species descriptions: In defense of neighbor-joining.

作者信息

Lachance Marc-André

机构信息

Department of Biology, University of Western Ontario, London, Ontario, Canada.

出版信息

Yeast. 2022 Oct;39(10):513-520. doi: 10.1002/yea.3812. Epub 2022 Sep 16.

Abstract

The neighbor-joining (NJ) method of tree inference is examined, with special attention to its use in yeast species descriptions. How the often-vilified method works is often misunderstood. More importantly, given the right kind of data, its output is a phylogram that illustrates a hypothetical phylogeny that is just as credible as that obtained by any other method. And as with any other method, the result is greatly affected by sampling intensity, particularly the number of aligned positions used for analysis. I address various allegations, including the claim that the method is phenetic, and, therefore, not phylogenetic. I argue that NJ is the most suitable tree inference method to use in yeast species descriptions, primarily because it is best at visually preserving the extent of sequence divergence between close relatives, which continues to be the primary criterion for yeast species delineation. The relevance of bootstraps in the application of the phylogenetic species concept is discussed.

摘要

我们研究了用于构建进化树的邻接法(NJ),特别关注其在酵母物种描述中的应用。这种常被诋毁的方法的工作原理常常被误解。更重要的是,在合适的数据条件下,其输出结果是一个系统发育树状图,展示了一个假设的系统发育关系,其可信度与通过任何其他方法获得的结果相当。与任何其他方法一样,结果会受到抽样强度的极大影响,尤其是用于分析的比对位置数量。我回应了各种指控,包括该方法是表型的,因此不是系统发育的这种说法。我认为NJ是酵母物种描述中最适合使用的进化树推断方法,主要是因为它最擅长直观地保留近亲之间序列差异的程度,而这仍然是酵母物种划分的主要标准。还讨论了自展法在系统发育物种概念应用中的相关性。

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