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Comparison of Target-Capture and Restriction-Site Associated DNA Sequencing for Phylogenomics: A Test in Cardinalid Tanagers (Aves Genus: Piranga)

机译:与靶标捕获和限制性位点相关的DNA测序进行人为基因组学的比较:基尼坦牛羚的试验(Aves属:Piranga)

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摘要

Restriction-site associated DNA sequencing (RAD-seq) and target capture of specific genomic regions, such as ultraconserved elements (UCEs), are emerging as two of the most popular methods for phylogenomics using reduced-representation genomic data sets. These two methods were designed to target different evolutionary timescales: RAD-seq was designed for population-genomic level questions and UCEs for deeper phylogenetics. The utility of both data sets to infer phylogenies across a variety of taxonomic levels has not been adequately compared within the same taxonomic system. Additionally, the effects of uninformative gene trees on species tree analyses (for target capture data) have not been explored. Here, we utilize RAD-seq and UCE data to infer a phylogeny of the bird genus Piranga. The group has a range of divergence dates (0.5–6 myr), contains 11 recognized species, and lacks a resolved phylogeny. We compared two species tree methods for the RAD-seq data and six species tree methods for the UCE data. Additionally, in the UCE data, we analyzed a complete matrix as well as data sets with only highly informative loci. A complete matrix of 189 UCE loci with 10 or more parsimony informative (PI) sites, and an approximately 80% complete matrix of 1128 PI single-nucleotide polymorphisms (SNPs) (from RAD-seq) yield the same fully resolved phylogeny of Piranga. We inferred non-monophyletic relationships of Pirangalutea individuals, with all other a priori species identified as monophyletic. Finally, we found that species tree analyses that included predominantly uninformative gene trees provided strong support for different topologies, with consistent phylogenetic results when limiting species tree analyses to highly informative loci or only using less informative loci with concatenation or methods meant for SNPs alone.
机译:限制性位点相关的DNA测序(RAD-seq)和特定基因组区域(例如超保守元件(UCEs))的目标捕获,已成为使用减少表示形式的基因组数据集的系统遗传学最流行的两种方法。设计这两种方法以针对不同的进化时间尺度:RAD-seq设计用于人口基因组水平的问题,而UCE设计用于更深的系统发育。在同一分类系统中,尚未充分比较两个数据集在各种分类学水平上推断系统发育的效用。此外,尚未探索无信息基因树对物种树分析(用于目标捕获数据)的影响。在这里,我们利用RAD-seq和UCE数据推断鸟类Piranga的系统发育。该组的发散日期范围(0.5–6 myr),包含11个公认的物种,并且缺乏系统的系统发育史。我们比较了RAD-seq数据的两种树种方法和UCE数据的六种树种方法。此外,在UCE数据中,我们分析了完整的矩阵以及仅具有高度信息量的基因座的数据集。由189个UCE位点组成的完整矩阵,具有10个或更多的简约信息(PI)位点,以及约80%的具有1128个PI单核苷酸多态性(SNP)的完整矩阵(来自RAD-seq),产生了相同的Piranga系统进化树。我们推断出Pirangalutea个体的非单亲关系,以及所有其他先验物种被鉴定为单亲。最后,我们发现,物种树分析主要包含无信息的基因树,为不同的拓扑结构提供了有力的支持,当将物种树分析限制为信息量大的基因座或仅将信息量较小的基因座与仅用于SNP的串联或方法结合使用时,系统树学结果就一致。

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