Suppr超能文献

最佳基因选择和内群分类单元抽样,用于解决系统发育关系。

Optimal selection of gene and ingroup taxon sampling for resolving phylogenetic relationships.

机构信息

Department of Ecology and Evolutionary Biology, Yale University,New Haven, CT 06520, USA.

出版信息

Syst Biol. 2010 Jul;59(4):446-57. doi: 10.1093/sysbio/syq025. Epub 2010 May 19.

Abstract

A controversial topic that underlies much of phylogenetic experimental design is the relative utility of increased taxonomic versus character sampling. Conclusions about the relative utility of adding characters or taxa to a current phylogenetic study have subtly hinged upon the appropriateness of the rate of evolution of the characters added for resolution of the phylogeny in question. Clearly, the addition of characters evolving at optimal rates will have much greater impact upon accurate phylogenetic analysis than will the addition of characters with an inappropriate rate of evolution. Development of practical analytical predictions of the asymptotic impact of adding additional taxa would complement computational investigations of the relative utility of these two methods of expanding acquired data. Accordingly, we here formulate a measure of the phylogenetic informativeness of the additional sampling of character states from a new taxon added to the canonical phylogenetic quartet. We derive the optimal rate of evolution for characters assessed in taxa to be sampled and a metric of informativeness based on the rate of evolution of the characters assessed in the new taxon and the distance of the new taxon from the internode of interest. Calculation of the informativeness per base pair of additional character sampling for included taxa versus additional character sampling for novel taxa can be used to estimate cost-effectiveness and optimal efficiency of phylogenetic experimental design. The approach requires estimation of rates of evolution of individual sites based on an alignment of genes orthologous to those to be sequenced, which may be identified in a well-established clade of sister taxa or of related taxa diverging at a deeper phylogenetic scale. Some approximate idea of the potential phylogenetic relationships of taxa to be sequenced is also desirable, such as may be obtained from ribosomal RNA sequence alone. Application to the solution of recalcitrant unresolved nodes in an otherwise well-known phylogeny is the most obvious application. We validate the theory by analysis of its predictions regarding the phylogenetic informativeness for taxon addition of 46 amino acid alignments of 21 fungal taxa. Gene and taxon sampling according to the theory herein and following a "deepest ingroup" heuristic are shown to provide significantly improved resolution of specified deep internodes.

摘要

一个备受争议的话题,它是系统发育实验设计的基础,涉及增加分类单元与特征采样的相对效用。关于在当前系统发育研究中增加特征或分类单元的相对效用的结论,微妙地取决于所添加特征的进化速率是否适合解决所研究的系统发育问题。显然,添加以最佳速率进化的特征对于准确的系统发育分析将产生更大的影响,而添加进化速率不合适的特征则影响较小。发展对增加额外分类单元的渐近影响进行实际分析预测,将补充对这两种扩展已获取数据的方法的相对效用的计算研究。因此,我们在此制定了一个衡量从添加到标准系统发育四重奏的新分类单元中添加的特征状态的额外采样的系统发育信息量的方法。我们从要采样的分类单元中评估特征的最佳进化速率,并根据新分类单元中评估的特征的进化速率和新分类单元与感兴趣的内部节点的距离来评估信息量的度量。计算包含的分类单元的额外特征采样信息量与新分类单元的额外特征采样信息量的信息量,可以用来估计系统发育实验设计的成本效益和最佳效率。该方法需要根据要测序的基因的直系同源物的比对来估计单个位点的进化速率,这可以在一个已建立的姐妹分类单元或在更深的系统发育尺度上分化的相关分类单元的分支中确定。也需要一些关于要测序的分类单元的潜在系统发育关系的近似想法,例如可以从核糖体 RNA 序列单独获得。应用于解决已知系统发育中难以解决的未解决节点是最明显的应用。我们通过分析该理论对 21 个真菌分类单元的 46 个氨基酸比对的分类单元添加的系统发育信息量的预测来验证该理论。根据本文的理论进行基因和分类单元采样,并遵循“最深的内群”启发式方法,被证明可以显著提高指定的深层内部节点的分辨率。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验