Molecular classification based on apomorphic amino acids (Arthropoda, Hexapoda): Integrative taxonomy in the era of phylogenomics.

Molecular classification based on apomorphic amino acids (Arthropoda, Hexapoda): Integrative taxonomy in the era of phylogenomics.
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基于非同形氨基酸(节肢动物、六足动物)的分子分类:系统发育时代的综合分类学

DOI:
10.1038/srep28308
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发表时间:
2016-06-17
期刊:
影响因子:
4.6
通讯作者:
Bu WJ
Bu WJ
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Wu HY;Wang YH;Xie Q;Ke YL;Bu WJ

文献摘要

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随着测序技术和系统方法的巨大发展,我们对生命树中更深层次的进化关系的理解在过去的十年里有了很大的提高。然而,由于仅用形态特征来描述支系的局限性,目前的分类方法不足以用标准化和一般性的方式来描述不断增长的多样性水平。在此,我们提出了一种基于层次和离散氨基酸特征的分子分类的思想。根据系统发育分析的结果对分支进行分类,并在系统图中使用具有组特异性的氨基酸来描述支系。基于最近公布的昆虫系统基因组数据集以及本研究中15个新测序的转录本的实践表明,这种方法可以适应不同更高级别的分类。这种方法的优点是在系统发育框架内以标准和离散的方式描述生物体,从而促进从整个谱系的角度识别支系,如系统代码所示。通过结合鉴定检索表和系统发育树,基于等级特征和离散特征的分子分类可以极大地推动综合分类学的进步。
With the great development of sequencing technologies and systematic methods, our understanding of evolutionary relationships at deeper levels within the tree of life has greatly improved over the last decade. However, the current taxonomic methodology is insufficient to describe the growing levels of diversity in both a standardised and general way due to the limitations of using only morphological traits to describe clades. Herein, we propose the idea of a molecular classification based on hierarchical and discrete amino acid characters. Clades are classified based on the results of phylogenetic analyses and described using amino acids with group specificity in phylograms. Practices based on the recently published phylogenomic datasets of insects together with 15de novosequenced transcriptomes in this study demonstrate that such a methodology can accommodate various higher ranks of taxonomy. Such an approach has the advantage of describing organisms in a standard and discrete way within a phylogenetic framework, thereby facilitating the recognition of clades from the view of the whole lineage, as indicated by PhyloCode. By combining identification keys and phylogenies, the molecular classification based on hierarchical and discrete characters may greatly boost the progress of integrative taxonomy.