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基于序列的未描述昆虫DNA分类学中的物种界定

Sequence-based species delimitation for the DNA taxonomy of undescribed insects.

作者信息

Pons Joan, Barraclough Timothy G, Gomez-Zurita Jesus, Cardoso Anabela, Duran Daniel P, Hazell Steaphan, Kamoun Sophien, Sumlin William D, Vogler Alfried P

机构信息

Department of Entomology, The Natural History Museum, London SW7 5BD, United Kingdom.

出版信息

Syst Biol. 2006 Aug;55(4):595-609. doi: 10.1080/10635150600852011.

Abstract

Cataloging the very large number of undescribed species of insects could be greatly accelerated by automated DNA based approaches, but procedures for large-scale species discovery from sequence data are currently lacking. Here, we use mitochondrial DNA variation to delimit species in a poorly known beetle radiation in the genus Rivacindela from arid Australia. Among 468 individuals sampled from 65 sites and multiple morphologically distinguishable types, sequence variation in three mtDNA genes (cytochrome oxidase subunit 1, cytochrome b, 16S ribosomal RNA) was strongly partitioned between 46 or 47 putative species identified with quantitative methods of species recognition based on fixed unique ("diagnostic") characters. The boundaries between groups were also recognizable from a striking increase in branching rate in clock-constrained calibrated trees. Models of stochastic lineage growth (Yule models) were combined with coalescence theory to develop a new likelihood method that determines the point of transition from species-level (speciation and extinction) to population-level (coalescence) evolutionary processes. Fitting the location of the switches from speciation to coalescent nodes on the ultrametric tree of Rivacindela produced a transition in branching rate occurring at 0.43 Mya, leading to an estimate of 48 putative species (confidence interval for the threshold ranging from 47 to 51 clusters within 2 logL units). Entities delimited in this way exhibited biological properties of traditionally defined species, showing coherence of geographic ranges, broad congruence with morphologically recognized species, and levels of sequence divergence typical for closely related species of insects. The finding of discontinuous evolutionary groupings that are readily apparent in patterns of sequence variation permits largely automated species delineation from DNA surveys of local communities as a scaffold for taxonomy in this poorly known insect group.

摘要

基于DNA的自动化方法可以极大地加速对大量未描述昆虫物种的编目,但目前缺乏从序列数据中进行大规模物种发现的程序。在这里,我们利用线粒体DNA变异来界定来自澳大利亚干旱地区的Rivacindela属中一个鲜为人知的甲虫辐射类群中的物种。在从65个地点采集的468个个体以及多种形态上可区分的类型中,基于固定独特(“诊断性”)特征的物种识别定量方法确定的46或47个假定物种之间,三个线粒体DNA基因(细胞色素氧化酶亚基1、细胞色素b、16S核糖体RNA)的序列变异被强烈区分。在时钟约束校准树中,组间边界也可从分支速率的显著增加中识别出来。随机谱系增长模型(尤尔模型)与合并理论相结合,开发了一种新的似然方法,该方法确定从物种水平(物种形成和灭绝)到种群水平(合并)进化过程的转变点。将Rivacindela超度量树上从物种形成到合并节点的转换位置进行拟合,得出分支速率的转变发生在0.43百万年前,从而估计出48个假定物种(阈值的置信区间在2 logL单位内为47至51个聚类)。以这种方式界定的实体表现出传统定义物种的生物学特性,显示出地理范围的一致性、与形态学上认可的物种广泛一致,以及昆虫近缘物种典型的序列分歧水平。在序列变异模式中很容易看出的不连续进化分组的发现,允许从当地群落的DNA调查中进行很大程度上自动化的物种划分,作为这个鲜为人知的昆虫类群分类学的一个框架。

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