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
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.
期刊介绍:
Over the last 100 years, the Journal of Heredity has established and maintained a tradition of scholarly excellence in the publication of genetics research. Virtually every major figure in the field has contributed to the journal.
Established in 1903, Journal of Heredity covers organismal genetics across a wide range of disciplines and taxa. Articles include such rapidly advancing fields as conservation genetics of endangered species, population structure and phylogeography, molecular evolution and speciation, molecular genetics of disease resistance in plants and animals, genetic biodiversity and relevant computer programs.