Multilocus phylogeny and Bayesian estimates of species boundaries reveal hidden evolutionary relationships and cryptic diversity in Southeast Asian monitor lizards

Recent conceptual, technological and methodological advances in phylogenetics have enabled increasingly robust statistical species delimitation in studies of biodiversity. As the variety of evidence purporting species diversity has increased, so too have the kinds of tools and inferential power of m...

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Published inMolecular ecology Vol. 22; no. 13; pp. 3495 - 3510
Main Authors Welton, L. J, Siler, C. D, Oaks, J. R, Diesmos, A. C, Brown, R. M
Format Journal Article
LanguageEnglish
Published Oxford Blackwell Scientific Publications 01.07.2013
Blackwell Publishing Ltd
Blackwell
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Online AccessGet full text
ISSN0962-1083
1365-294X
1365-294X
DOI10.1111/mec.12324

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Summary:Recent conceptual, technological and methodological advances in phylogenetics have enabled increasingly robust statistical species delimitation in studies of biodiversity. As the variety of evidence purporting species diversity has increased, so too have the kinds of tools and inferential power of methods for delimiting species. Here, we showcase an organismal system for a data‐rich, comparative molecular approach to evaluating strategies of species delimitation among monitor lizards of the genus Varanus. The water monitors (Varanus salvator Complex), a widespread group distributed throughout Southeast Asia and southern India, have been the subject of numerous taxonomic treatments, which have drawn recent attention due to the possibility of undocumented species diversity. To date, studies of this group have relied on purportedly diagnostic morphological characters, with no attention given to the genetic underpinnings of species diversity. Using a 5‐gene data set, we estimated phylogeny and used multilocus genetic networks, analysis of population structure and a Bayesian coalescent approach to infer species boundaries. Our results contradict previous systematic hypotheses, reveal surprising relationships between island and mainland lineages and uncover novel, cryptic evolutionary lineages (i.e. new putative species). Our study contributes to a growing body of literature suggesting that, used in concert with other sources of data (e.g. morphology, ecology, biogeography), multilocus genetic data can be highly informative to systematists and biodiversity specialists when attempting to estimate species diversity and identify conservation priorities. We recommend holding in abeyance taxonomic decisions until multiple, converging lines of evidence are available to best inform taxonomists, evolutionary biologists and conservationists.
Bibliography:http://dx.doi.org/10.1111/mec.12324
istex:5BDAB6238432F6AE79199D61C7BB5526BA13A120
Fulbright and Fulbright-Hayes Fellowships
University of Kansas Biodiversity Institute
Appendix S1 Specimen voucher numbers, identification and geographic location of samples for this study. Appendix S2 Description of *BEAST methodology for inferring BP&P starting topologies. Appendix S3 Description of BP&P species delimitation methodology.Fig. S1 Mitochondrial (left) and concatenated nuclear (right) maximum likelihood phylogenetic estimates. Only bootstrap support >70% is indicated. Fig. S2 Individual maximum likelihood gene trees for the four nuclear loci sampled. Only bootstrap support >70% is indicated. Fig. S3 Mitochondrial and nuclear (ND1-ND2, DGL-α, L52, L74, PRLR) statistical haplotype networks inferred by TCS (Clement et al. ). Fig. S4 Distance-based (neighbour-joining) nuclear haplotype network as inferred by the NeighborNet algorithm of splitstree. Input standardized distance matrix created with the program pofad. Fig. S5 Distruct visualization (Rosenberg ) visualization of structure analyses and summarized geographic distribution of major Varanus demes (Pritchard et al. ) for K = 6 populations. Fig. S6 Bayesian estimates of the Varanus salvator Complex species tree as inferred by the program *beast. Fig. S7 Recognized major faunal regions and island groups of the Philippines, including distributions of Varanus species.Table S1 Individual loci, original publications and polymerase chain reaction (PCR) thermal profiles for each. Annealing temperature was varied to improve amplification for problematic samples. Table S2 Loci and associated primers sequenced for this study. Thermal profiles for PCR and cycle sequencing reactions vary only by annealing temperature (55-58º) across primers and samples. Table S3 Estimated models of evolution by data partition, as inferred by jmodeltest. Final models selected by AIC and applied for partitioned, model-based analyses. Table S4 Summary of results among loci for tests of neutrality using Tajima's D (Tajima ).
NSF - No. DEB 0804115
ArticleID:MEC12324
NSF Biotic Surveys and Inventories - No. DEB 0743491
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ISSN:0962-1083
1365-294X
1365-294X
DOI:10.1111/mec.12324