In the face of anthropogenic change and the potential loss of species, documenting biodiversity – including accurately delimiting species complexes – is of tantamount importance. Genome-wide data are powerful for investigating lineage divergence, though deciding if this divergence represents species-level differentiation remains challenging. Here, we use genome-wide data to investigate species limits in four currently recognized species of Earless Lizards (Phrynosomatidae: Holbrookia), with a focus on H. lacerata and H. subcaudalis, the latter having potentially imperiled populations. This group’s taxonomy has been repeatedly revised; most recently, H. lacerata and H. subcaudalis were elevated to species status using conserved morphological data and a few molecular markers. In this study, we used double-digest restriction-site associated DNA sequencing to delineate species limits for our focal taxa. We recovered five populations that corresponded to five well-supported lineages with very little gene flow among them. Our results support the recognition of H. lacerata and H. subcaudalis as two separate species, based on strong phylogenetic support for these lineages and genetic divergence measures that exceed those of currently recognized species within Holbrookia. Genomic methods for species delimitation offer a promising approach to assess biodiversity in taxonomically confounded taxa or organisms of conservation priority.
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Multinational evaluation of genetic diversity indicators for the Kunming‐Montreal Global Biodiversity Framework
Under the recently adopted Kunming‐Montreal Global Biodiversity Framework, 196 Parties committed to reporting the status of genetic diversity for all species. To facilitate reporting, three genetic diversity indicators were developed, two of which focus on processes contributing to genetic diversity conservation: maintaining genetically distinct populations and ensuring populations are large enough to maintain genetic diversity. The major advantage of these indicators is that they can be estimated with or without DNA‐based data. However, demonstrating their feasibility requires addressing the methodological challenges of using data gathered from diverse sources, across diverse taxonomic groups, and for countries of varying socio‐economic status and biodiversity levels. Here, we assess the genetic indicators for 919 taxa, representing 5271 populations across nine countries, including megadiverse countries and developing economies. Eighty‐three percent of the taxa assessed had data available to calculate at least one indicator. Our results show that although the majority of species maintain most populations, 58% of species have populations too small to maintain genetic diversity. Moreover, genetic indicator values suggest that IUCN Red List status and other initiatives fail to assess genetic status, highlighting the critical importance of genetic indicators.
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- Award ID(s):
- 2208881
- PAR ID:
- 10519947
- Author(s) / Creator(s):
- ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; more »
- Publisher / Repository:
- Wiley
- Date Published:
- Journal Name:
- Ecology Letters
- Volume:
- 27
- Issue:
- 7
- ISSN:
- 1461-023X
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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