Biogeography and Genetic Diversity of Terrestrial Mites in the Ross Sea Region, Antarctica.

Gemma E Collins, Monica R Young, Peter Convey, Steven L Chown, S Craig Cary, Byron J Adams, Diana H Wall, Ian D Hogg
Author Information
  1. Gemma E Collins: School of Science, University of Waikato, Hamilton 3240, New Zealand. ORCID
  2. Monica R Young: Canadian National Collection of Insects Arachnids and Nematodes, Agriculture and Agrifood Canada, Ottawa, ON K1A 0C6, Canada.
  3. Peter Convey: British Antarctic Survey, Cambridge CB3 OET, UK. ORCID
  4. Steven L Chown: Securing Antarctica's Environmental Future, School of Biological Sciences, Monash University, Melbourne 3800, Australia.
  5. S Craig Cary: School of Science, University of Waikato, Hamilton 3240, New Zealand.
  6. Byron J Adams: Department of Biology, Evolutionary Ecology Laboratories, Brigham Young University, Provo, UT 84602, USA. ORCID
  7. Diana H Wall: Department of Biology, Colorado State University, Fort Collins, CO 80523, USA.
  8. Ian D Hogg: School of Science, University of Waikato, Hamilton 3240, New Zealand. ORCID

Abstract

Free-living terrestrial mites (Acari) have persisted through numerous glacial cycles in Antarctica. Very little is known, however, of their genetic diversity and distribution, particularly within the Ross Sea region. To redress this gap, we sampled mites throughout the Ross Sea region, East Antarctica, including Victoria Land and the Queen Maud Mountains (QMM), covering a latitudinal range of 72-85 °S, as well as Lauft Island near Mt. Siple (73 °S) in West Antarctica and Macquarie Island (54S) in the sub-Antarctic. We assessed genetic diversity using mitochondrial cytochrome oxidase subunit I gene sequences (COI-5P DNA barcode region), and also morphologically identified voucher specimens. We obtained 130 sequences representing four genera: ( = 30 sequences), ( = 46), ( = 18) and ( = 36). Tree-based analyses (maximum likelihood) revealed 13 genetic clusters, representing as many as 23 putative species indicated by barcode index numbers (BINs) from the Barcode of Life Datasystems (BOLD) database. We found evidence for geographically-isolated cryptic species, e.g., within and , as well as unique genetic groups occurring in sympatry (e.g., spp. in QMM). Collectively, these data confirm high genetic divergence as a consequence of geographic isolation over evolutionary timescales. From a conservation perspective, additional targeted sampling of understudied areas in the Ross Sea region should be prioritised, as further diversity is likely to be found in these short-range endemic mites.

Keywords

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MeSH Term

Animals
Genetic Variation
Mites
Antarctic Regions
Phylogeny
Genetic Drift

Word Cloud

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