Journal article
Identifying hybridization and admixture using SNPs: Application of the DArTseq platforminphylogeographic research on vertebrates
Royal Society Open Science, Vol.4(7), 161061
2017
Abstract
Next-generation sequencing (NGS) approaches are increasingly being used to generate multi-locus data for phylogeographic and evolutionary genetics research. We detail the applicability of a restriction enzyme-mediated genome complexity reduction approach with subsequent NGS (DArTseq) in vertebrate study systems at different evolutionary and geographical scales. We present two case studies using SNP data from the DArTseq molecular marker platform. First, we used DArTseq in a large phylogeographic study of the agamid lizard Ctenophorus caudicinctus, including 91 individuals and spanning the geographical range of this species across arid Australia. A low-density DArTseq assay resulted in 28 960 SNPs, with low density referring to a comparably reduced set of identified and sequenced markers as a cost-effective approach. Second, we applied this approach to an evolutionary genetics study of a classic frog hybrid zone (Litoria ewingii-Litoria paraewingi) across 93 individuals, which resulted in 48 117 and 67 060 SNPs for a low- and high-density assay, respectively. We provide a docker-based workflow to facilitate data preparation and analysis, then analyse SNP data using multiple methods including Bayesian model-based clustering and conditional likelihood approaches. Based on comparison of results from the DArTseq platform and traditional molecular approaches, we conclude that DArTseq can be used successfully in vertebrates and will be of particular interest to researchers working at the interface between population genetics and phylogenetics, exploring species boundaries, gene exchange and hybridization. © 2017 The Authors.
Details
- Title
- Identifying hybridization and admixture using SNPs: Application of the DArTseq platforminphylogeographic research on vertebrates
- Authors
- J Melville (Author) - Museum VictoriaM L Haines (Author) - Museum VictoriaK Boysen (Author) - Museum VictoriaL Hodkinson (Author) - Museum VictoriaA Kilian (Author) - University of CanberraK L Smith Date (Author) - Museum VictoriaDominique A Potvin (Author) - Museum VictoriaK M Parris (Author) - University of Melbourne
- Publication details
- Royal Society Open Science, Vol.4(7), 161061
- Publisher
- Royal Society of Chemistry (R S C) Publications
- Date published
- 2017
- DOI
- 10.1098/rsos.161061
- ISSN
- 2054-5703
- Copyright note
- Copyright © 2017 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
- Organisation Unit
- School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 99451045902621
- Output Type
- Journal article
Metrics
35 File views/ downloads
571 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Web Of Science research areas
- Genetics & Heredity