Development of a multiplex panel of microsatellite markers for two species of gliding marsupials, Petaurus breviceps and Petaurus norfolcensis
M. Malekian A B C G , R. Y. Dudaniec D , K. M. Saint E , S. M. Carthew B F and S. J. B. Cooper B C EA Department of Natural Resources, Isfahan University of Technology, Isfahan, 84156-83111, Iran.
B School of Earth and Environmental Sciences, The University of Adelaide, Adelaide, SA 5005, Australia.
C Centre for Evolutionary Biology and Biodiversity, The University of Adelaide, Adelaide, SA 5005, Australia.
D Department of Biology, Lund University, Lund, SE-22362, Sweden.
E Evolutionary Biology Unit, South Australian Museum, Adelaide, SA 5000, Australia.
F Research Institute for Environment and Livelihoods, Charles Darwin University, Darwin, NT 0909, Australia.
G Corresponding author. Email: mmalekian@cc.iut.ac.ir
Australian Journal of Zoology 61(6) 475-478 https://doi.org/10.1071/ZO14002
Submitted: 28 January 2014 Accepted: 11 March 2014 Published: 3 April 2014
Abstract
Here, we describe the development of seven new microsatellite loci from Petaurus breviceps. Together with eight loci from previous studies of gliders, we tested their utility for amplification, multiplexing and polymorphism in two glider species, P. breviceps and P. norfolcensis. Of the 15 loci tested, all were polymorphic in P. breviceps and 12 were polymorphic in P. norfolcensis. Overall, 260 sugar gliders from 13 sites in south-eastern South Australia and 106 squirrel gliders collected throughout south-east Queensland were used in analyses. Numbers of alleles per locus ranged from 4 to 27 in P. breviceps and from 2 to 44 in P. norfolcensis. Observed heterozygosity ranged between 0.438 and 0.904 in P. breviceps and between 0.189 and 0.981 in P. norfolcensis. Within the populations analysed, one of the 15 loci for P. breviceps and two of the 12 loci for P. norfolcensis deviated from Hardy–Weinberg equilibrium. The microsatellite loci will provide valuable tools for further study of social organisation, mating systems and population biology of these gliding marsupials.
Additional keywords: 454 sequencing, habitat fragmentation, microsatellites, population structure.
References
Brown, M., Kendal, T. A., Cooksley, H., Saint, K. M., Taylor, A. C., Carthew, S. M., and Cooper, S. J. B. (2004). Polymorphic microsatellite markers for the gliding marsupials Petaurus australis and Petaurus breviceps. Molecular Ecology Notes 4, 704–706.| Polymorphic microsatellite markers for the gliding marsupials Petaurus australis and Petaurus breviceps.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXhtVGjsw%3D%3D&md5=168791c05781c75abdcd6b9f43b7be6eCAS |
Carthew, S. M., and Goldingay, R. L. (1997). Non-flying mammals as pollinators. Trends in Ecology & Evolution 12, 104–108.
| Non-flying mammals as pollinators.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BC3M7itFKitQ%3D%3D&md5=4b2e3dcc443ad5010360ee255d8c6439CAS |
Faircloth, B. C. (2008). msatcommander: detection of microsatellite repeat arrays and automated, locus-specific primer design. Molecular Ecology Resources 8, 92–94.
| msatcommander: detection of microsatellite repeat arrays and automated, locus-specific primer design.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXivVSitL8%3D&md5=c1f50fa00275e3ebe4f82f1f525f666bCAS | 21585724PubMed |
Gardner, M. G., Fitch, A. J., Bertozzi, T., and Lowe, A. J. (2011). Rise of the machines – recommendations for ecologists when using next generation sequencing for microsatellite development. Molecular Ecology Resources 11, 1093–1101.
| Rise of the machines – recommendations for ecologists when using next generation sequencing for microsatellite development.Crossref | GoogleScholarGoogle Scholar | 21679314PubMed |
Goldingay, R. L., and Kavanagh, R. P. (1993). Home-range estimates and habitat of yellow-bellied glider (Petaurus australis) at Waratah Creek, New South Wales. Wildlife Research 20, 387–404.
| Home-range estimates and habitat of yellow-bellied glider (Petaurus australis) at Waratah Creek, New South Wales.Crossref | GoogleScholarGoogle Scholar |
Goldingay, R., and Possingham, H. (1995). Area requirements for viable populations of the Australian gliding marsupial, Petaurus australis. Biological Conservation 73, 161–167.
| Area requirements for viable populations of the Australian gliding marsupial, Petaurus australis.Crossref | GoogleScholarGoogle Scholar |
Hayden, M., Nguyen, T., Waterman, A., and Chalmers, K. (2008). Multiplex-ready PCR: A new method for multiplexed SSR and SNP genotyping. BMC Genomics 9, 80.
| Multiplex-ready PCR: A new method for multiplexed SSR and SNP genotyping.Crossref | GoogleScholarGoogle Scholar | 18282271PubMed |
Holm, S. (1979). A simple sequentially rejective multiple test procedure. Scandinavian Journal of Statistics 6, 65–70.
Jackson, S. M. (1999). Preliminary predictions of the impacts of habitat area and catastrophes on the viability of mahogany glider Petaurus gracilis populations. Pacific Conservation Biology 5, 56–62.
Kalinowski, S. T., Taper, M. L., and Marshall, T. C. (2007). Revising how the computer program CERVUS accommodates genotyping error increases success in paternity assignment. Molecular Ecology 16, 1099–1106.
| Revising how the computer program CERVUS accommodates genotyping error increases success in paternity assignment.Crossref | GoogleScholarGoogle Scholar | 17305863PubMed |
Malekian, M. (2007). Molecular systematics and conservation genetics of gliding petaurids (Marsupialia: Petauridae). Ph.D. thesis, The University of Adelaide.
Meglécz, E. (2007). MicroFamily: a computer program for detecting flanking region similarities among different microsatellite loci. Molecular Ecology Notes 7, 18–20.
| MicroFamily: a computer program for detecting flanking region similarities among different microsatellite loci.Crossref | GoogleScholarGoogle Scholar |
Millis, A. L. (2000). Isolation and characterization of microsatellite loci in marsupial gliders (Petaurus norfolcensis, P. breviceps and P. gracilis). Molecular Ecology 9, 1681–1683.
| Isolation and characterization of microsatellite loci in marsupial gliders (Petaurus norfolcensis, P. breviceps and P. gracilis).Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3cXnvV2gurg%3D&md5=d4d86c3816ecbb908fbeb64586d07e37CAS | 11050574PubMed |
Pope, M. L., Lindenmayer, D. B., and Cunningham, R. B. (2004). Patch use by the greater glider (Petauroides volans) in a fragmented forest ecosystem. I. Home range size and movements. Wildlife Research 31, 559–568.
| Patch use by the greater glider (Petauroides volans) in a fragmented forest ecosystem. I. Home range size and movements.Crossref | GoogleScholarGoogle Scholar |
Quin, D. G., Smith, A. P., and Norton, T. W. (1996). Eco-geographic variation in size and sexual dimorphism in sugar gliders and squirrel gliders (Marsupialia: Petauridae). Australian Journal of Zoology 44, 19–45.
| Eco-geographic variation in size and sexual dimorphism in sugar gliders and squirrel gliders (Marsupialia: Petauridae).Crossref | GoogleScholarGoogle Scholar |
Raymond, M., and Rousset, F. (1995). GENEPOP (Version 1.2): population genetics software for exact tests and ecumenicism. The Journal of Heredity 86, 248–249.
Rozen, S., and Skaletsky, H. J. (2000). Primer3 on the WWW for general users and for biologist programmers. In ‘Bioinformatics Methods and Protocols: Methods in Molecular Biology’. (Eds S. Misener and S. A. Krawetz.) pp. 365–386. (Humana Press Inc.: Totowa, NJ.)
Smith, A. P. (1982). Diet and feeding strategy of the sugar glider in temperate Australia. Journal of Animal Ecology 51, 149–166.
| Diet and feeding strategy of the sugar glider in temperate Australia.Crossref | GoogleScholarGoogle Scholar |
Taylor, A. C., Walker, F. M., Goldingay, R. L., Ball, T., and van der Ree, R. (2011). Degree of landscape fragmentation influences genetic isolation among populations of a gliding mammal. PLoS ONE 6, e26651.
| Degree of landscape fragmentation influences genetic isolation among populations of a gliding mammal.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXhsVyqu7zJ&md5=4c258c78942c30a2d2fa7195f7331e31CAS | 22053200PubMed |
van Oosterhout, C., Hutchinson, W. F., Wills, D. P. M., and Shipley, P. (2004). MICRO-CHECKER: software for identifying and correcting genotyping errors in microsatellite data. Molecular Ecology 4, 535–538.
| MICRO-CHECKER: software for identifying and correcting genotyping errors in microsatellite data.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2cXnvFOktb8%3D&md5=642d3c27a53cc46b25cea2a96ea87beeCAS |