A likelihood ratio test for species membership based on DNA sequence data
- 14 September 2005
- journal article
- research article
- Published by The Royal Society in Philosophical Transactions Of The Royal Society B-Biological Sciences
- Vol. 360 (1462) , 1969-1974
- https://doi.org/10.1098/rstb.2005.1728
Abstract
DNA barcoding as an approach for species identification is rapidly increasing in popularity. However, it remains unclear which statistical procedures should accompany the technique to provide a measure of uncertainty. Here we describe a likelihood ratio test which can be used to test if a sampled sequence is a member of ana priorispecified species. We investigate the performance of the test using coalescence simulations, as well as using the real data from butterflies and frogs representing two kinds of challenge for DNA barcoding: extremely low and extremely high levels of sequence variability.Keywords
This publication has 34 references indexed in Scilit:
- The problems and promise of DNA barcodes for species diagnosis of primate biomaterialsPhilosophical Transactions Of The Royal Society B-Biological Sciences, 2005
- Reverse taxonomy: an approach towards determining the diversity of meiobenthic organisms based on ribosomal RNA signature sequencesPhilosophical Transactions Of The Royal Society B-Biological Sciences, 2005
- On the Number of New World Founders: A Population Genetic Portrait of the Peopling of the AmericasPLoS Biology, 2005
- Identification of Birds through DNA BarcodesPLoS Biology, 2004
- Biological identifications through DNA barcodesProceedings Of The Royal Society B-Biological Sciences, 2003
- The intellectual content of taxonomy: a comment on DNA taxonomyTrends in Ecology & Evolution, 2003
- Shortcuts in systematics? A commentary on DNA-based taxonomyTrends in Ecology & Evolution, 2003
- Inference in Molecular Population GeneticsJournal of the Royal Statistical Society Series B: Statistical Methodology, 2000
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programsNucleic Acids Research, 1997
- Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests under Nonstandard ConditionsJournal of the American Statistical Association, 1987