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Fresh is best: Accurate SNP genotyping from koala scats.
Schultz, Anthony J; Cristescu, Romane H; Littleford-Colquhoun, Bethan L; Jaccoud, Damian; Frère, Céline H.
Afiliação
  • Schultz AJ; GeneCology Research Centre University of the Sunshine Coast Maroochydore DC Qld Australia.
  • Cristescu RH; Global Change Ecology Research Centre University of the Sunshine Coast Maroochydore DC Qld Australia.
  • Littleford-Colquhoun BL; Global Change Ecology Research Centre University of the Sunshine Coast Maroochydore DC Qld Australia.
  • Jaccoud D; GeneCology Research Centre University of the Sunshine Coast Maroochydore DC Qld Australia.
  • Frère CH; Global Change Ecology Research Centre University of the Sunshine Coast Maroochydore DC Qld Australia.
Ecol Evol ; 8(6): 3139-3151, 2018 03.
Article em En | MEDLINE | ID: mdl-29607013
ABSTRACT
Maintaining genetic diversity is a crucial component in conserving threatened species. For the iconic Australian koala, there is little genetic information on wild populations that is not either skewed by biased sampling methods (e.g., sampling effort skewed toward urban areas) or of limited usefulness due to low numbers of microsatellites used. The ability to genotype DNA extracted from koala scats using next-generation sequencing technology will not only help resolve location sample bias but also improve the accuracy and scope of genetic analyses (e.g., neutral vs. adaptive genetic diversity, inbreeding, and effective population size). Here, we present the successful SNP genotyping (1272 SNP loci) of koala DNA extracted from scat, using a proprietary DArTseq™ protocol. We compare genotype results from two-day-old scat DNA and 14-day-old scat DNA to a blood DNA template, to test accuracy of scat genotyping. We find that DNA from fresher scat results in fewer loci with missing information than DNA from older scat; however, 14-day-old scat can still provide useful genetic information, depending on the research question. We also find that a subset of 209 conserved loci can accurately identify individual koalas, even from older scat samples. In addition, we find that DNA sequences identified from scat samples through the DArTseq™ process can provide genetic identification of koala diet species, bacterial and viral pathogens, and parasitic organisms.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Ecol Evol Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Ecol Evol Ano de publicação: 2018 Tipo de documento: Article