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利用物种界定方法解决安第斯山脉高海拔地区蝴蝶群落(鳞翅目:凤蝶总科)的隐秘多样性问题。

Use of species delimitation approaches to tackle the cryptic diversity of an assemblage of high Andean butterflies (Lepidoptera: Papilionoidea).

作者信息

Marín Mario Alejandro, López-Rubio Andrés, Clavijo Alejandra, Pyrcz Tomasz Wilhelm, Freitas André Victor Lucci, Uribe Sandra Inés, Álvarez Carlos Federico

机构信息

Departamento de Biologia Animal, Instituto de Biologia, Universidade Estadual de Campinas, São Paulo (SP), Brazil.

Grupo de Investigación en Sistemática Molecular, Universidad Nacional de Colombia, Medellín, Antioquia, Colombia.

出版信息

Genome. 2021 Oct;64(10):937-949. doi: 10.1139/gen-2020-0100. Epub 2021 Feb 17.

Abstract

Cryptic biological diversity has generated ambiguity in taxonomic and evolutionary studies. Single-locus methods and other approaches for species delimitation are useful for addressing this challenge, enabling the practical processing of large numbers of samples for identification and inventory purposes. This study analyzed an assemblage of high Andean butterflies using DNA barcoding and compared the identifications based on the current morphological taxonomy with three methods of species delimitation (automatic barcode gap discovery, generalized mixed Yule coalescent model, and Poisson tree processes). Sixteen potential cryptic species were recognized using these three methods, representing a net richness increase of 11.3% in the assemblage. A well-studied taxon of the genus , which has a wide geographical distribution, appeared with the potential cryptic species that had a higher genetic differentiation at the local level than at the continental level. The analyses were useful for identifying the potential cryptic species in and complexes, which also show differentiation along altitudinal and latitudinal gradients. This genetic assessment of an entire assemblage of high Andean butterflies (Papilionoidea) provides baseline information for future research in a region characterized by high rates of endemism and population isolation.

摘要

隐秘的生物多样性在分类学和进化研究中造成了模糊性。单基因座方法和其他物种界定方法对于应对这一挑战很有用,能够实际处理大量样本以进行识别和编目。本研究使用DNA条形码分析了一组高安第斯蝴蝶,并将基于当前形态分类学的鉴定结果与三种物种界定方法(自动条形码间隙发现、广义混合尤尔合并模型和泊松树过程)进行了比较。使用这三种方法识别出了16个潜在的隐秘物种,这意味着该组合的净丰富度增加了11.3%。一个研究充分、地理分布广泛的属的分类单元,与潜在的隐秘物种一起出现,这些隐秘物种在地方层面的遗传分化高于大陆层面。这些分析有助于识别 属和 属复合体中的潜在隐秘物种,它们在海拔和纬度梯度上也表现出分化。对整个高安第斯蝴蝶(凤蝶总科)组合的这种遗传评估为一个以高特有率和种群隔离为特征的地区的未来研究提供了基线信息。

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