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首页> 外文期刊>Molecular ecology >Delimiting species of marine gastropods (Turridae, Conoidea) using RAD sequencing in an integrative taxonomy framework
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Delimiting species of marine gastropods (Turridae, Conoidea) using RAD sequencing in an integrative taxonomy framework

机译:使用RAD测序在一体化分类框架中使用RAY测定的海洋胃脂(Turridae)的物种

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摘要

Species delimitation in poorly known and diverse taxa is usually performed based on monolocus, DNA-barcoding-like approaches, while multilocus data are often used to test alternative species hypotheses in well-studied groups. We combined both approaches to delimit species in the Xenuroturris/Iotyrris complex, a group of venomous marine gastropods from the Indo-Pacific. First, COI sequences were analysed using three methods of species delimitation to propose primary species hypotheses. Second, RAD sequencing data were also obtained and a maximum-likelihood phylogenetic tree produced. We tested the impact of the level of missing data on the robustness of the phylogenetic tree obtained with the RAD-seq data. Alternative species partitions revealed with the COI data set were also tested using the RAD-seq data and the Bayes factor species delimitation method. The congruence between the species hypotheses proposed with the mitochondrial nuclear data sets, together with the morphological variability of the shell and the radula and the distribution pattern, was used to turn the primary species hypotheses into secondary species hypotheses. Allopatric primary species hypotheses defined with the COI gene were interpreted to correspond to intraspecific structure. Most of the species are found sympatrically in the Philippines, and only one is confidently identified as a new species and described as Iotyrris conotaxis n. sp. The results obtained demonstrate the efficiency of the combined monolocus/multilocus approach to delimit species.
机译:通常基于单粒子,DNA-条形码的方法进行众所周知和多样化的分类群的物种划界,而多体块数据通常用于测试备用群体中的替代物种假设。我们将两种方法与Xenuroturris / Iotyrris Complex中的分隔物种相结合,这是来自印度太平洋的一群有毒海洋美食。首先,使用三种物种划界方法分析COI序列,提出主要物种假设。其次,也获得了RAD测序数据,并产生最大似然性的系统发育树。我们测试了缺失数据水平对用RAD-SEQ数据获得的系统发育树的稳健性的影响。使用Rad-SEQ数据和贝叶因子物种定分方法测试了用COI数据集显示的替代物种分区。使用线粒体核数据集提出的物种假设与壳体和射线的形态变异性与分布图的形态变异,用于将主要物种假设转变为次生假设。用COI基因定义的丙酸类初级物种假设被解释为对应于内部结构。大多数物种在菲律宾角度地发现,只有一个人只被识别为新物种,并描述为IOTRRIS Conotaxis n。 SP。获得的结果证明了组合的单粒子/多层方法对限制物种的效率。

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