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Guidelines and quantitative standards for improved cetacean taxonomy using full mitochondrial genomes. | LitMetric

AI Article Synopsis

  • Traditional methods for classifying species, like studying physical characteristics, can be tough for endangered animals, making genetic data crucial for taxonomic research.
  • By analyzing complete mitochondrial genomes instead of just specific gene regions, researchers can enhance the accuracy of identifying and differentiating cetacean populations, subspecies, and species.
  • The study proposes new guidelines for taxonomic decisions using whole mitogenomes, along with other evidence, and applies simulated data to help understand genetic divergence in relation to the species' history and ecology.

Article Abstract

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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Source
http://dx.doi.org/10.1093/jhered/esad049DOI Listing

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