Suppr超能文献

简约法而非贝叶斯分析法更能重建出具有更多地层一致性的系统发育树。

Parsimony, not Bayesian analysis, recovers more stratigraphically congruent phylogenetic trees.

机构信息

School of Earth and Environmental Sciences, University of Manchester, Manchester M13 9PT, UK

Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK.

出版信息

Biol Lett. 2018 Jun;14(6). doi: 10.1098/rsbl.2018.0263.

Abstract

Reconstructing evolutionary histories requires accurate phylogenetic trees. Recent simulation studies suggest that probabilistic phylogenetic analyses of morphological data are more accurate than traditional parsimony techniques. Here, we use empirical data to compare Bayesian and parsimony phylogenies in terms of their congruence with the distribution of age ranges of the component taxa. Analysis of 167 independent morphological data matrices of fossil tetrapods finds that Bayesian trees exhibit significantly lower stratigraphic congruence than the equivalent parsimony trees. As such, taking stratigraphic data as an independent benchmark indicates that parsimony analyses are more accurate for phylogenetic reconstruction of morphological data. The discrepancy between simulated and empirical studies may result from historic data peaking practices or some complexities of empirical data as yet unaccounted for.

摘要

重建进化历史需要准确的系统发育树。最近的模拟研究表明,概率系统发育分析比传统简约技术更准确。在这里,我们使用经验数据比较贝叶斯和简约系统发育树在与组成分类单元的年龄范围分布的一致性方面。对 167 个独立的化石四足动物形态数据矩阵的分析发现,贝叶斯树的地层一致性明显低于等效简约树。因此,将地层数据作为独立的基准表明,简约分析对于形态数据的系统发育重建更为准确。模拟研究和经验研究之间的差异可能是由于历史数据峰值实践或一些尚未考虑的经验数据的复杂性所致。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1a4/6030593/d4159cde8cf6/rsbl20180263-g1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验