Suppr超能文献

对73060个分类单元的系统发育分析证实了主要的真核生物类群。

Phylogenetic analysis of 73 060 taxa corroborates major eukaryotic groups.

作者信息

Goloboff Pablo A, Catalano Santiago A, Marcos Mirande J, Szumik Claudia A, Salvador Arias J, Källersjö Mari, Farris James S

机构信息

INSUE (Instituto Superior de Entomología), CONICET (Consejo Nacional de Investigaciones Científicas y Técnicas), Instituto Miguel Lillo, Miguel Lillo 205, 4000 S.M.Tucumán, Argentina.

CONICET (Consejo Nacional de Investigaciones Científicas y Técnicas), Fundación Miguel Lillo, Miguel Lillo 251, 4000 S.M.Tucumán, Argentina.

出版信息

Cladistics. 2009 Jun;25(3):211-230. doi: 10.1111/j.1096-0031.2009.00255.x. Epub 2009 Apr 27.

Abstract

Obtaining a well supported schema of phylogenetic relationships among the major groups of living organisms requires considering as much taxonomic diversity as possible, but the computational cost of calculating large phylogenies has so far been a major obstacle. We show here that the parsimony algorithms implemented in TNT can successfully process the largest phylogenetic data set ever analysed, consisting of molecular sequences and morphology for 73 060 eukaryotic taxa. The trees resulting from molecules alone display a high degree of congruence with the major taxonomic groups, with a small proportion of misplaced species; the combined data set retrieves these groups with even higher congruence. This shows that tree-calculation algorithms effectively retrieve phylogenetic history for very large data sets, and at the same time provides strong corroboration for the major eukaryotic lineages long recognized by taxonomists.

摘要

要获得一个得到充分支持的关于主要生物类群之间系统发育关系的模式,需要考虑尽可能多的分类多样性,但到目前为止,计算大型系统发育树的计算成本一直是一个主要障碍。我们在此表明,TNT中实现的简约算法能够成功处理有史以来分析过的最大的系统发育数据集,该数据集由73060个真核生物分类单元的分子序列和形态学数据组成。仅由分子数据得出的树与主要分类类群显示出高度的一致性,只有一小部分物种位置有误;合并后的数据集检索这些类群时一致性更高。这表明树计算算法能够有效地检索非常大型数据集的系统发育历史,同时也为分类学家长期认可的主要真核生物谱系提供了有力的佐证。

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