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从分子数据推断远古历史。

Inferring the Deep Past from Molecular Data.

机构信息

School of Biological Sciences, University of Bristol, United Kingdom.

Department of Biological Physics, Eötvös Loránd University, Budapest, Hungary.

出版信息

Genome Biol Evol. 2021 May 7;13(5). doi: 10.1093/gbe/evab067.

DOI:10.1093/gbe/evab067
PMID:33772552
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8175050/
Abstract

There is an expectation that analyses of molecular sequences might be able to distinguish between alternative hypotheses for ancient relationships, but the phylogenetic methods used and types of data analyzed are of critical importance in any attempt to recover historical signal. Here, we discuss some common issues that can influence the topology of trees obtained when using overly simple models to analyze molecular data that often display complicated patterns of sequence heterogeneity. To illustrate our discussion, we have used three examples of inferred relationships which have changed radically as models and methods of analysis have improved. In two of these examples, the sister-group relationship between thermophilic Thermus and mesophilic Deinococcus, and the position of long-branch Microsporidia among eukaryotes, we show that recovering what is now generally considered to be the correct tree is critically dependent on the fit between model and data. In the third example, the position of eukaryotes in the tree of life, the hypothesis that is currently supported by the best available methods is fundamentally different from the classical view of relationships between major cellular domains. Since heterogeneity appears to be pervasive and varied among all molecular sequence data, and even the best available models can still struggle to deal with some problems, the issues we discuss are generally relevant to phylogenetic analyses. It remains essential to maintain a critical attitude to all trees as hypotheses of relationship that may change with more data and better methods.

摘要

人们期望对分子序列的分析能够区分古代关系的替代假设,但在任何试图恢复历史信号的尝试中,所使用的系统发育方法和分析的数据类型都至关重要。在这里,我们讨论了一些常见的问题,这些问题可能会影响使用过于简单的模型分析经常显示复杂序列异质性模式的分子数据时获得的树的拓扑结构。为了说明我们的讨论,我们使用了三个推断关系的例子,这些例子随着模型和分析方法的改进而发生了根本性的变化。在其中两个例子中,嗜热 Thermus 和中温 Deinococcus 之间的姐妹群关系,以及长枝 Microsporidia 在真核生物中的位置,我们表明,恢复现在通常被认为是正确的树在很大程度上取决于模型与数据的拟合。在第三个例子中,真核生物在生命之树中的位置,目前由最佳可用方法支持的假设与主要细胞域之间关系的经典观点根本不同。由于异质性似乎在所有分子序列数据中普遍存在且各不相同,即使是最好的可用模型仍然难以处理一些问题,因此我们讨论的问题通常与系统发育分析有关。仍然有必要对所有作为可能随着更多数据和更好方法而改变的关系假设的树保持持批评态度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35a4/8175050/1400f4f9f32f/evab067f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35a4/8175050/67b3c109d418/evab067f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35a4/8175050/c3321d8f550d/evab067f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35a4/8175050/1400f4f9f32f/evab067f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35a4/8175050/67b3c109d418/evab067f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35a4/8175050/c3321d8f550d/evab067f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35a4/8175050/1400f4f9f32f/evab067f3.jpg

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