使用全线粒体基因组改进鲸类分类的指南和定量标准。

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2023-11-15 DOI:10.1093/jhered/esad049
Phillip A Morin, Karen K Martien, Aimee R Lang, Brittany L Hancock-Hanser, Victoria L Pease, Kelly M Robertson, Maya Sattler, Elizabeth Slikas, Patricia E Rosel, C Scott Baker, Barbara L Taylor, Frederick I Archer
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引用次数: 0

摘要

在许多生物中,特别是那些与保护有关的生物,通常很难获得用于分类描述的传统证据线,例如形态学数据。在这些情况下,遗传数据往往是分类学研究的唯一信息来源。特别是,线粒体基因组的群体调查提供了更高的分辨率和精度,以支持分类决策相对于传统使用的控制区或线粒体基因组的其他基因片段。为了改进鲸目动物分类决策的定量指导,我们在先前针对控制区的研究基础上,对整个有丝分裂基因组序列进行了评估,并对已识别的鲸目动物种群、亚种和种进行了一套分化和可诊断性估计。根据这一综述,我们推荐基于完整有丝分裂基因组的新指南,结合其他类型的分离和分化证据,这将提高分类决策的分辨率,特别是在面对小样本量或低水平遗传多样性的情况下。我们进一步使用模拟数据来帮助解释不同形式的历史人口、文化和生态背景下的差异。
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Guidelines and quantitative standards for improved cetacean taxonomy using full mitochondrial genomes.

In many organisms, especially those of conservation concern, traditional lines of evidence for taxonomic delineation, such as morphological data, are often difficult to obtain. In these cases, genetic data are often the only source of information available for taxonomic studies. In particular, population surveys of mitochondrial genomes offer increased resolution and precision in support of taxonomic decisions relative to conventional use of the control region or other gene fragments of the mitochondrial genome. To improve quantitative guidelines for taxonomic decisions in cetaceans, we build on a previous effort targeting the control region and evaluate, for whole mitogenome sequences, a suite of divergence and diagnosability estimates for pairs of recognized cetacean populations, subspecies, and species. From this overview, we recommend new guidelines based on complete mitogenomes, combined with other types of evidence for isolation and divergence, which will improve resolution for taxonomic decisions, especially in the face of small sample sizes or low levels of genetic diversity. We further use simulated data to assist interpretations of divergence in the context of varying forms of historical demography, culture, and ecology.

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7.20
自引率
4.30%
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567
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