Hostname: page-component-cd9895bd7-mkpzs Total loading time: 0 Render date: 2024-12-23T08:32:33.210Z Has data issue: false hasContentIssue false
  • English
  • Français

Latitudinal distribution and mitochondrial DNA (COI) variability of Stereotydeus spp. (Acari: Prostigmata) in Victoria Land and the central Transantarctic Mountains

Published online by Cambridge University Press:  02 December 2010

Nicholas J. Demetras ,
Ian D. Hogg ,
Jonathan C. Banks  and
Byron J. Adams
Nicholas J. Demetras*
Affiliation:
Department of Biological Sciences, University of Waikato, Private Bag 3105, Hamilton, New Zealand
Ian D. Hogg
Affiliation:
Department of Biological Sciences, University of Waikato, Private Bag 3105, Hamilton, New Zealand
Jonathan C. Banks
Affiliation:
Department of Biological Sciences, University of Waikato, Private Bag 3105, Hamilton, New Zealand
Byron J. Adams
Affiliation:
Microbiology & Molecular Biology Department, Evolutionary Ecology Laboratories, Brigham Young University, 775 WIDB, Provo, UT 84602-5253, USA
*
[email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

We examined mitochondrial DNA (COI) variability and distribution of Stereotydeus spp. in Victoria Land and the Transantarctic Mountains, and constructed Neighbour Joining (NJ) and Maximum Likelihood (ML) phylogenetic trees using all publicly available COI sequences for the three Stereotydeus species present (S. belli, S. mollis and S. shoupi). We also included new COI sequences from Miers, Marshall and Garwood valleys in southern Victoria Land (78°S), as well as from the Darwin (79°S) and Beardmore Glacier (83°S) regions. Both NJ and ML methods produced trees which were similar in topology differing only in the placement of the single available S. belli sequence from Cape Hallett (72°S) and a S. mollis haplotype from Miers Valley. Pairwise sequence divergences among species ranged from 9.5–18.1%. NJ and ML grouped S. shoupi from the Beardmore Glacier region as sister to those from the Darwin with pairwise divergences of 8%. These individuals formed a monophyletic clade with high bootstrap support basal to S. mollis and S. belli. Based on these new data, we suggest that the distributional range of S. shoupi extends northward to Darwin Glacier and that a barrier to dispersal for Stereotydeus, and possibly other arthropods, exists immediately to the north of this area.

Keywords

AntarcticaArthropodadispersalenvironmental gradientsmitesRoss Dependency
Type
Research Article
Information
Antarctic Science , Volume 22 , Special Issue 6: The Latitudinal Gradient Project (LGP) , December 2010 , pp. 749 - 756
Copyright
Copyright © Antarctic Science Ltd 2010

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Boyer, S.L., Baker, J.M. Gonzalo, G. 2007. Deep genetic divergences in Aoraki denticulata (Arachnida, Opiliones, Cyphophthalmi): a widespread ‘mite harvestman’ defies DNA taxonomy. Molecular Ecology, 16, 4999–5016.CrossRefGoogle ScholarPubMed
Caruso, T. Bargagli, R. 2007. Assessing abundance and diversity patterns of microarthropod assemblages in northern Victoria Land (Antarctica). Polar Biology, 30, 895–902.CrossRefGoogle Scholar
Cruickshank, R.H. 2002. Molecular markers for the phylogenetics of mites and ticks. Experimental & Applied Acarology, 7, 3–14.Google Scholar
Dabert, M. 2006. DNA markers in the phylogenetics of Acari. Biological Letters, 43, 97–107.Google Scholar
Drummond, A.J., Ashton, B., Cheung, M., Heled, J., Kearse, M., Moir, R., Stones-Havas, S., Thierer, T. Wilson, A. 2009. Geneious, ver.4.6, Available from http://www.geneious.com/.Google Scholar
Frati, F., Spinsati, G. Dallai, R. 2001. Genetic variation of mtCOII gene sequences in the collembolan Isotoma klovstadi from Victoria Land, Antarctica: evidence for population differentiation. Polar Biology, 24, 934–940.CrossRefGoogle Scholar
Frati, F., Fanciulli, P.P., Carapelli, A., Dell’ampio, E., Nardi, F., Spinsati, G. Dallai, R. 2000. DNA sequence analysis to study the evolution of Antarctic Collembola. Italian Journal of Zoology, 1, 133–139.CrossRefGoogle Scholar
Fittkau, E.J., Illies, J., Kilinge, H., Schwabe, G.H. Sioli, H. 1969. Biogeography and ecology in South America. Berlion: Springer, 516 pp.Google Scholar
Gressitt, J.L., Fearon, C.E. Rennell, K. 1964. Antarctic mite populations and negative arthropod surveys. Pacific Insects, 6, 531–540.Google Scholar
Gressitt, J.L., Leech, R.E. Wise, K.A.J. 1963. Entomological investigations in Antarctica. Pacific Insects Monograph, 5, 287–304.Google Scholar
Guindon, S. Gascuel, O. 2003. A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. Systematic Biology, 52, 696–704.CrossRefGoogle ScholarPubMed
Linares, M.C., Soto-Calderón, I.D., Lees, D.C. Anthony, N.M. 2009. High mitochondrial diversity in geographically widespread butterflies of Madagascar: a test of the DNA barcoding approach. Molecular Phylogenetics and Evolution, 50, 485–495.CrossRefGoogle ScholarPubMed
Marshall, D.A. Pugh, P.J.A. 1996. Origins of the inland Acari of continental Antarctica, with particular reference to Dronning Maud Land. Zoological Journal of the Linnean Society, 118, 101–118.CrossRefGoogle Scholar
Martin, A.P. Palumbi, S.R. 1993. Body size, metabolic rate, generation time, and the molecular clock. Proceedings of the National Academy of Science of the United States, 90, 4087–4091.CrossRefGoogle ScholarPubMed
McGaughran, A., Hogg, I.D. Stevens, M.I. 2008. Patterns of population genetic structure for springtails and mites in southern Victoria Land, Antarctica. Molecular Phylogenetics and Evolution, 46, 606–618.CrossRefGoogle Scholar
McGaughran, A., Redding, G.P., Stevens, M.I. Convey, P. 2009. Temporal metabolic rate variation in a continental Antarctic springtail. Journal of Insect Physiology, 55, 130–155.CrossRefGoogle Scholar
McGaughran, A., Torricelli, G., Carapelli, A., Frati, F., Stevens, M.I., Convey, P. Hogg, I.D. 2010. Contrasting phylogeographical patterns for springtails reflect different evolutionary histories between the Antarctic Peninsula and continental Antarctica. Journal of Biogeography, 37, 103–119.CrossRefGoogle Scholar
Navajas, M. Fenton, B. 2002. The application of molecular markers in the study of diversity in Acarology: a review. Experimental and Applied Acarology, 24, 751–774.CrossRefGoogle Scholar
Olivier, P.A.S. 2006. A first record of the family Penthalodidae Thor, 1932 (Acari: Prostigmata) from South African soils, with descriptions of two new species in the genus Stereotydeus Berlese, 1901. African Entomology, 14, 53–622.Google Scholar
Otto, J.C. Wilson, K.J. 2001. Assessment of the usefulness of ribosomal 18S and mitochondrial COI sequences in Prostigmata phylogeny. In Halliday, R.B., Walter, D.E., Proctor, H.C., Norton, R.A. & Colloff, M.J., eds. Acarology: Proceedings of the 10th International Congress. Melbourne: CSIRO Publications, 100–109.Google Scholar
Posada, D. 2008. jModelTest: Phylogenetic model averaging. Molecular Biology and Evolution, 25, 1253–1256.CrossRefGoogle ScholarPubMed
Pittard, D.A. 1971. A comparative study of the life stages of the mite Stereotydeus mollis W. & S. (Acarina). Pacific Insects Monograph, 25, 1–14.Google Scholar
Sjursen, H. Sinclair, B.J. 2002. On the cold hardiness of Stereotydeus mollis (Acari: Prostigmata) from Ross Island, Antarctica. Pedobiologia, 2, 188–195.CrossRefGoogle Scholar
Spain, A.V. 1971. Some aspects of soil conditions and arthropod distribution in Antarctica. Pacific Insects Monograph, 25, 21–26.Google Scholar
Spain, A.V. Luxton, M. 1971. Catalogue and bibliography of the Acari of the New Zealand subregion. Pacific Insects Monographs, 25, 177–226.Google Scholar
Stevens, M.I. Hogg, I.D. 2006. Contrasting levels of mitochondrial DNA variability between mites (Penthalodidae) and springtails (Hypogastruridae) from the Trans-Antarctic Mountains suggests long-term effects of glaciation and life history on substitution rates, and speciation processes. Soil Biology and Biochemistry, 38, 3171–3180.CrossRefGoogle Scholar
Strandtmann, R.W. 1967. Terrestrial Prostigmata (Trombidiform Mites). Antarctic Research Series, 10, 51–80.Google Scholar
Swofford, D.L. 2002. PAUP*. Phylogenetic Analysis Using Parsimony (*and other methods), ver. 4. Sunderland, MA: Sinauer Associates.Google Scholar
Talavera, G. Castresana, J. 2007. Improvement of phylogenies after removing divergent and ambiguously aligned blocks from protein sequence alignments. Systematic Biology, 56, 564–577.CrossRefGoogle ScholarPubMed
Torricelli, G., Carapelli, A., Convey, P., Nardi, F., Boore, J.L. Frati, F. 2009. High divergence across the whole mitochondrial genome in the “pan-Antarctic” springtail Friesea grisea; evidence for cryptic species? Gene, 449, 30–40.CrossRefGoogle ScholarPubMed
Womersley, H. Strandtmann, R.W. 1963. On some free living prostigmatic mites of Antarctica. Pacific Insects, 5, 451–472.Google Scholar
Zwickl, D.J. 2006. Genetic algorithm approaches for the phylogenetic analysis of large biological sequence datasets under the maximum likelihood criterion. PhD thesis, The University of Texas at Austin, 125 pp. [Unpublished].Google Scholar