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哪些形态特征在贝叶斯系统发育分析中具有影响力?来自最早的硬骨鱼类的实例。

Which morphological characters are influential in a Bayesian phylogenetic analysis? Examples from the earliest osteichthyans.

机构信息

Naturalis Biodiversity Center, Postbus 9517, 2300 RA Leiden, The Netherlands.

出版信息

Biol Lett. 2019 Jul 26;15(7):20190288. doi: 10.1098/rsbl.2019.0288. Epub 2019 Jul 17.

Abstract

There has been much recent debate about which method is best for reconstructing the tree of life from morphological datasets. However, little attention has been paid to which characters, if any, are responsible for topological differences between trees recovered from competing methods on empirical datasets. Indeed, a simple procedure for finding characters supporting conflicting tree topologies is available in a parsimony framework, but an equivalent procedure in a model-based framework is lacking. Here, I introduce such a procedure and apply it to the problem of the 'psarolepid' osteichthyans. The 'psarolepids', which include the earliest known osteichthyans, are weakly supported as stem osteichthyans under parsimony but strongly supported as sarcopterygians in Bayesian analysis. The Bayesian result is driven by just two characters, both of which relate to the intracranial joint of sarcopterygians. Important characters that support a stem osteichthyan affinity for 'psarolepids', such as the absence of tooth enamel, have virtually no effect in a Bayesian framework. This is because of a bias towards characters with relatively complete sampling, a bias that has previously been reported for molecular data. This has important implications for Bayesian analysis of morphological datasets in general, as characters from different body parts commonly have different levels of coding completeness. Methods to critically appraise character support for conflicting phylogenetic hypotheses, such as that used here, should form an important part of phylogenetic analyses.

摘要

最近关于从形态数据集重建生命之树哪种方法最好的争论很多。然而,很少有人关注如果有的话,哪些特征是导致从经验数据集上竞争方法恢复的树之间拓扑差异的原因。事实上,在简约框架中有一种简单的方法可以找到支持冲突树拓扑的特征,但在基于模型的框架中缺乏等效的方法。在这里,我介绍了这样一种方法,并将其应用于“psarolepid”肉鳍鱼类的问题。“psarolepids”包括最早已知的硬骨鱼类,在简约分析中被弱支持为原始硬骨鱼类,但在贝叶斯分析中被强烈支持为肉鳍鱼类。贝叶斯结果是由两个特征驱动的,这两个特征都与肉鳍鱼类的颅内关节有关。支持“psarolepids”具有原始硬骨鱼类亲缘关系的重要特征,如缺乏牙釉质,在贝叶斯框架中几乎没有影响。这是因为偏向具有相对完整采样的特征的偏差,这种偏差以前在分子数据中已经报道过。这对一般形态数据集的贝叶斯分析有重要影响,因为来自不同身体部位的特征通常具有不同的编码完整性水平。批判性评估支持冲突系统发育假设的特征的方法,如这里使用的方法,应该成为系统发育分析的重要组成部分。

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1
ESTIMATING CHARACTER WEIGHTS DURING TREE SEARCH.在树搜索过程中估计字符权重。
Cladistics. 1993 Mar;9(1):83-91. doi: 10.1111/j.1096-0031.1993.tb00209.x.
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A new osteichthyan from the late Silurian of Yunnan, China.来自中国云南志留纪晚期的一种新硬骨鱼。
PLoS One. 2017 Mar 8;12(3):e0170929. doi: 10.1371/journal.pone.0170929. eCollection 2017.

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