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后生动物系统发育的深度解析:不同的基因讲述不同的故事。

Deep metazoan phylogeny: when different genes tell different stories.

机构信息

Department of Earth and Environmental Sciences, Ludwig-Maximilians-Universität München, 80333 München, Germany.

出版信息

Mol Phylogenet Evol. 2013 Apr;67(1):223-33. doi: 10.1016/j.ympev.2013.01.010. Epub 2013 Jan 23.

Abstract

Molecular phylogenetic analyses have produced a plethora of controversial hypotheses regarding the patterns of diversification of non-bilaterian animals. To unravel the causes for the patterns of extreme inconsistencies at the base of the metazoan tree of life, we constructed a novel supermatrix containing 122 genes, enriched with non-bilaterian taxa. Comparative analyses of this supermatrix and its two non-overlapping multi-gene partitions (including ribosomal and non-ribosomal genes) revealed conflicting phylogenetic signals. We show that the levels of saturation and long branch attraction artifacts in the two partitions correlate with gene sampling. The ribosomal gene partition exhibits significantly lower saturation levels than the non-ribosomal one. Additional systematic errors derive from significant variations in amino acid substitution patterns among the metazoan lineages that violate the stationarity assumption of evolutionary models frequently used to reconstruct phylogenies. By modifying gene sampling and the taxonomic composition of the outgroup, we were able to construct three different yet well-supported phylogenies. These results show that the accuracy of phylogenetic inference may be substantially improved by selecting genes that evolve slowly across the Metazoa and applying more realistic substitution models. Additional sequence-independent genomic markers are also necessary to assess the validity of the phylogenetic hypotheses.

摘要

分子系统发育分析产生了大量关于非两侧对称动物多样化模式的有争议的假说。为了解开极端不一致模式的原因在后生动物生命树的基础上,我们构建了一个包含 122 个基因的新超级矩阵,其中富含非双侧对称类群。对这个超级矩阵及其两个非重叠的多基因分区(包括核糖体和非核糖体基因)的比较分析显示出相互矛盾的系统发育信号。我们表明,两个分区中的饱和度和长枝吸引伪影水平与基因采样有关。核糖体基因分区的饱和度水平明显低于非核糖体基因分区。额外的系统误差源自于后生动物谱系中氨基酸替代模式的显著变化,这些变化违反了经常用于重建系统发育的进化模型的稳定性假设。通过改变基因采样和外群的分类组成,我们能够构建三个不同但支持良好的系统发育树。这些结果表明,通过选择在 Metazoa 中缓慢进化的基因,并应用更现实的替代模型,系统发育推断的准确性可以大大提高。还需要额外的与序列无关的基因组标记来评估系统发育假说的有效性。

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