Suppr超能文献

迈向蜥蜴科系统发育:线粒体DNA 12S和16S基因序列的启示(爬行纲:有鳞目)

Toward the phylogeny of the family Lacertidae: implications from mitochondrial DNA 12S and 16S gene sequences (Reptilia: Squamata).

作者信息

Fu J

机构信息

Centre for Biodiversity and Conservation Biology, Royal Ontario Museum, Toronto, Canada.

出版信息

Mol Phylogenet Evol. 1998 Feb;9(1):118-30. doi: 10.1006/mpev.1997.0456.

Abstract

A phylogeny of the family Lacertidae was derived from mtDNA gene sequence data. Seventeen species, representing 16 currently recognized genera and subgenera, were included in the analysis. A total of 954 bp was obtained and aligned from 12S and 16S partial gene sequences. A preferred tree was selected based on weighted parsimony and functional ingroup and outgroup analyses. Decay analysis, bootstrapping, and permutation tail probability were used to evaluate support for the recovered nodes. The genus Gallotia was resolved as the basal taxon and the sister group of all remaining lacertids. Takydromus branched off next. All African lacertids grouped together and formed a monophyletic clade with the Eurasian genera Eremias and Ophisops. The remaining Eurasian lacertids sequentially branched off near the base of the tree in a "comb-like" fashion. The basal position of Gallotia and the monophyly of African lacertids are consistent with previous hypotheses. The European-origin hypothesis of lacertids is favored, and the distribution of lacertids in Africa is likely a Miocene dispersal event. Most of the extant European lacertids probably arose after the Eocene. The classification of the family needs to be revised.

摘要

基于线粒体DNA基因序列数据得出了蜥蜴科的系统发育关系。分析中纳入了17个物种,代表了16个目前公认的属和亚属。从12S和16S部分基因序列中总共获得并比对了954个碱基对。基于加权简约法以及有效的类群内和类群外分析选择了一棵最优树。采用衰减分析、自展法和置换尾概率来评估对所恢复节点的支持度。加那利蜥蜴属被确定为基部类群,是所有其余蜥蜴科动物的姐妹群。捷蜥蜴属其次分支出来。所有非洲蜥蜴科动物聚在一起,与欧亚大陆的沙蜥属和蛇蜥属形成一个单系分支。其余的欧亚大陆蜥蜴科动物以“梳状”方式在树的基部附近依次分支出来。加那利蜥蜴属的基部位置和非洲蜥蜴科动物的单系性与先前的假设一致。蜥蜴科动物起源于欧洲的假设更受青睐,非洲蜥蜴科动物的分布可能是一次中新世扩散事件。大多数现存的欧洲蜥蜴科动物可能在始新世之后出现。该科的分类需要修订。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验