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首页> 外文期刊>Systematic Biology >Accuracy and Precision of Species Trees: Effects of Locus, Individual, and Base Pair Sampling on Inference of Species Treesn in Lizards of the Liolaemus darwinii Group (Squamata, Liolaemidae)
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Accuracy and Precision of Species Trees: Effects of Locus, Individual, and Base Pair Sampling on Inference of Species Treesn in Lizards of the Liolaemus darwinii Group (Squamata, Liolaemidae)

机译:树种的准确性和精密度:地点,个体和碱基对采样对达尔文(Liolaemus darwinii)组(Squamata,Liolaemidae)蜥蜴中树种推理的影响

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摘要

Molecular phylogenetics has entered a new era in which species trees are estimated from a collection of gene trees using methods that accommodate their heterogeneity and discordance with the species tree. Empirical evaluation of species trees is necessary to assess the performance (i.e., accuracy and precision) of these methods with real data, which consists of gene genealogies likely shaped by different historical and demographic processes. We analyzed 20 loci for 16 species of the South American lizards of the Liolaemus darwinii species group and reconstructed a species tree with *BEAST, then compared the performance of this method under different sampling strategies of loci, individuals, and sequence lengths. We found an increase in the accuracy and precision of species trees with the number of loci, but for any number of loci, accuracy substantially decreased only when using only one individual per species or 25% of the full sequence length (∼ 147 bp). In addition, locus “informativeness” was an important factor in the accuracy/precision of species trees when using a few loci, but it became increasingly irrelevant with additional loci. Our empirical results combined with the previous simulation studies suggest that there is an optimal range of sampling effort of loci, individuals, and sequence lengths for a given speciation history and information content of the data. Future studies should be directed toward further assessment of other factors that can impact performance of species trees, including gene flow, locus “informativeness,” tree shape, missing data, and errors in species delimitation.
机译:分子系统发育学进入了一个新时代,在该时代中,采用适应基因树的异质性和与物种树不一致的方法,从基因树的集合中估计物种树。为了通过实际数据评估这些方法的性能(即准确性和精确性),有必要对树种进行实证评估,该数据包括可能由不同的历史和人口统计学过程构成的基因谱系。我们分析了南美灰蜥(Liolaemus darwinii)物种组的16种蜥蜴的20个基因座,并用* BEAST重建了物种树,然后比较了该方法在基因座,个体和序列长度的不同采样策略下的性能。我们发现物种树的准确度和精确度随基因座数目的增加而增加,但是对于任何数目的基因座,仅当每个物种仅使用一个个体或整个序列长度的25%(约147 bp)时,准确性才会显着降低。此外,当使用几个基因座时,基因座的“信息性”是树种准确性/精确性的重要因素,但与其他基因座的相关性越来越小。我们的经验结果与先前的模拟研究相结合,表明对于给定的物种形成历史和数据信息内容,基因座,个体和序列长度的采样工作存在最佳范围。未来的研究应针对可能影响物种树性能的其他因素进行进一步评估,包括基因流,基因座“信息性”,树形,数据丢失以及物种划界错误。

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  • 来源
    《Systematic Biology》 |2012年第2期|p.272-288|共17页
  • 作者

    Jack W. Sites Jr;

  • 作者单位

    CONICET-CENPAT, Boulevard Almirante Brown 2825, U9120ACF, Puerto Madryn, Chubut, Argentina;

    E-mail:;

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  • 正文语种 eng
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