Fifteen microsatellite loci for use in non-invasive sampling studies of the antilopine wallaroo (Macropus antilopinus)
Jessica J. Wadley A B F , Jeremy J. Austin A B C , Michael G. Gardner D E and Damien A. Fordham BA Australian Centre for Ancient DNA, University of Adelaide, North Terrace, Adelaide, SA 5005, Australia.
B Environment Institute and School of Earth and Environmental Sciences, University of Adelaide, North Terrace, Adelaide, SA 5005, Australia.
C Sciences Department, Museum Victoria, Carlton Gardens, Melbourne, Vic. 3001, Australia.
D School of Biological Sciences, Flinders University, Adelaide, SA 5001, Australia.
E Evolutionary Biology Unit, South Australian Museum, North Terrace, Adelaide, SA 5001, Australia.
F Corresponding author. Email: jessica.wadley@adelaide.edu.au
Australian Journal of Zoology 61(5) 399-401 https://doi.org/10.1071/ZO13074
Submitted: 19 September 2013 Accepted: 28 November 2013 Published: 13 December 2013
Abstract
A set of 15 microsatellite loci was optimised for multilocus genotyping of non-invasively collected samples of Macropus antilopinus (antilopine wallaroo). Primers were combined in three PCR multiplexes in order to increase the quality of genotypes from scat samples and to allow for replication. In a screen of 104 scat samples from two populations in north-eastern Australia, three loci were found to be monomorphic while the remaining 12 loci had 2–10 alleles. Genotype frequencies for all 12 microsatellite loci from the two populations did not differ significantly from Hardy–Weinberg equilibrium, and there was no evidence of linkage disequilibrium. These informative markers are specifically designed for non-invasive samples and will be used to assess population structure and conservation genetics of this species in the future.
Additional keywords: faeces, kangaroo, macropod, non-invasive genotyping, population genetics.
References
Drummond, A. J., Ashton, B., Bucton, S., Cheung, M., Cooper, A., Duran, C., Field, M., Heled, J., Kearse, M., Markowitz, S., Moir, R., Stones-Havas, S., Sturrock, S., Thiere, T., and Wilson, A. (2011) Geneious v5.4. Available from: http://www.geneious.comExcoffier, L., and Lischer, H. E. L. (2010). Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows. Molecular Ecology Resources 10, 564–567.
| Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows.Crossref | GoogleScholarGoogle Scholar | 21565059PubMed |
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 |
Holleley, C. E., and Geerts, P. G. (2009). Multiplex Manager 1.0: a cross-platform computer program that plans and optimizes multiplex PCR. BioTechniques 46, 511–517.
| Multiplex Manager 1.0: a cross-platform computer program that plans and optimizes multiplex PCR.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXns1ajsr4%3D&md5=58206d139871dd55a5acc9e9734c6b9dCAS | 19594450PubMed |
Meglécz, E., Costedoat, C., Dubut, V., Giles, A., Malausa, T., Pech, N., and Martin, J. F. (2010). QDD: a user-friendly program to select microsatellite markers and design primers from large sequencing projects. Bioinformatics 26, 403–404.
| QDD: a user-friendly program to select microsatellite markers and design primers from large sequencing projects.Crossref | GoogleScholarGoogle Scholar | 20007741PubMed |
Meglécz, E., Nève, G., Biffin, E., and Gardner, M. G. (2012). Breakdown of phylogenetic signal: a survey of microsatellite densities in 454 shotgun sequences from 154 non model eukaryote species. PLoS ONE 7, e40861.
| Breakdown of phylogenetic signal: a survey of microsatellite densities in 454 shotgun sequences from 154 non model eukaryote species.Crossref | GoogleScholarGoogle Scholar | 22815847PubMed |
Peakall, R., and Smouse, P. E. (2012). GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research – an update. Bioinformatics 28, 2537–2539.
| GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research – an update.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38XhsVehtbjI&md5=c6969be81af5be8b66b80ad6e8c3a88dCAS | 22820204PubMed |
Piggott, M. P., Banks, S. C., and Taylor, A. C. (2006). Population structure of the brush-tailed rock-wallaby (Petrogale penicillata) colonies inferred from analysis of faecal DNA. Molecular Ecology 15, 93–105.
| Population structure of the brush-tailed rock-wallaby (Petrogale penicillata) colonies inferred from analysis of faecal DNA.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD28XitVGkt78%3D&md5=7c37f3c432f2d263b0038808445bc539CAS | 16367833PubMed |
Ritchie, E. G., and Bolitho, E. E. (2008). Australia’s savanna herbivores: bioclimatic distributions and an assessment of the potential impact of regional climate change. Physiological and Biochemical Zoology 81, 880–890.
| Australia’s savanna herbivores: bioclimatic distributions and an assessment of the potential impact of regional climate change.Crossref | GoogleScholarGoogle Scholar | 18937565PubMed |
Rousset, F. (2008). Genepop’007: a complete re-implementation of the genepop software for Windows and Linux. Molecular Ecology Resources 8, 103–106.
| Genepop’007: a complete re-implementation of the genepop software for Windows and Linux.Crossref | GoogleScholarGoogle Scholar | 21585727PubMed |
Taberlet, P., and Luikart, G. (1999). Non-invasive genetic sampling and individual identification. Biological Journal of the Linnean Society 68, 41–55.
| Non-invasive genetic sampling and individual identification.Crossref | GoogleScholarGoogle Scholar |
Taberlet, P., Griffin, S., Goossens, B., Questiau, S., Manceau, V., Escaravage, N., Waits, L. P., and Bouvet, J. (1996). Reliable genotyping of samples with very low DNA quantities using PCR. Nucleic Acids Research 24, 3189–3194.
| Reliable genotyping of samples with very low DNA quantities using PCR.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK28XlslyrtLs%3D&md5=cf50e4834696ecd5e4070726ec649bf7CAS | 8774899PubMed |
Wadley, J. J., Austin, J. J., and Fordham, D. A. (2013). Rapid species identification of eight sympatric northern Australian macropods from faecal-pellet DNA. Wildlife Research 40, 241–249.
| Rapid species identification of eight sympatric northern Australian macropods from faecal-pellet DNA.Crossref | GoogleScholarGoogle Scholar |