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物种树估计和串联估计何时会出现分歧?对高级石龙子蜥蜴系统发育的实证分析。

When do species-tree and concatenated estimates disagree? An empirical analysis with higher-level scincid lizard phylogeny.

作者信息

Lambert Shea M, Reeder Tod W, Wiens John J

机构信息

Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA.

Department of Biology, San Diego State University, San Diego, CA 92182, USA.

出版信息

Mol Phylogenet Evol. 2015 Jan;82 Pt A:146-55. doi: 10.1016/j.ympev.2014.10.004. Epub 2014 Oct 12.

Abstract

Simulation studies suggest that coalescent-based species-tree methods are generally more accurate than concatenated analyses. However, these species-tree methods remain impractical for many large datasets. Thus, a critical but unresolved issue is when and why concatenated and coalescent species-tree estimates will differ. We predict such differences for branches in concatenated trees that are short, weakly supported, and have conflicting gene trees. We test these predictions in Scincidae, the largest lizard family, with data from 10 nuclear genes for 17 ingroup taxa and 44 genes for 12 taxa. We support our initial predictions, andsuggest that simply considering uncertainty in concatenated trees may sometimes encompass the differences between these methods. We also found that relaxed-clock concatenated trees can be surprisingly similar to the species-tree estimate. Remarkably, the coalescent species-tree estimates had slightly lower support values when based on many more genes (44 vs. 10) and a small (∼30%) reduction in taxon sampling. Thus, taxon sampling may be more important than gene sampling when applying species-tree methods to deep phylogenetic questions. Finally, our coalescent species-tree estimates tentatively support division of Scincidae into three monophyletic subfamilies, a result otherwise found only in concatenated analyses with extensive species sampling.

摘要

模拟研究表明,基于溯祖理论的物种树方法通常比串联分析更准确。然而,对于许多大型数据集而言,这些物种树方法仍然不实用。因此,一个关键但尚未解决的问题是,串联法和基于溯祖理论的物种树估计何时以及为何会有所不同。我们预测,在串联树中那些短的、支持度弱的以及具有冲突基因树的分支上会出现这种差异。我们在石龙子科(最大的蜥蜴科)中检验了这些预测,使用了17个内部分类群的10个核基因数据以及12个分类群的44个基因数据。我们证实了最初的预测,并表明仅仅考虑串联树中的不确定性有时可能涵盖这些方法之间的差异。我们还发现,宽松分子钟串联树可能会与物种树估计惊人地相似。值得注意的是,基于更多基因(44个基因对比10个基因)以及分类群抽样减少约30%时,基于溯祖理论的物种树估计的支持值略低。因此,在将物种树方法应用于深层次系统发育问题时,分类群抽样可能比基因抽样更重要。最后,我们基于溯祖理论的物种树估计初步支持将石龙子科划分为三个单系亚科,这一结果在其他情况下仅在具有广泛物种抽样的串联分析中才能发现。

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