The DOI matches its Crossref record; 91 of the 91 references it cites were found in a registry or an index.
Estimating the phylogeny and divergence times of primates using a supermatrix approach
Open accessAbstract
BACKGROUND: The primates are among the most broadly studied mammalian orders, with the published literature containing extensive analyses of their behavior, physiology, genetics and ecology. The importance of this group in medical and biological research is well appreciated, and explains the numerous molecular phylogenies that have been proposed for most primate families and genera. Composite estimates for the entire order have been infrequently attempted, with the last phylogenetic reconstruction spanning the full range of primate evolutionary relationships having been conducted over a decade ago. RESULTS: To estimate the structure and tempo of primate evolutionary history, we employed Bayesian phylogenetic methods to analyze data supermatrices comprising 7 mitochondrial genes (6,138 nucleotides) from 219 species across 67 genera and 3 nuclear genes (2,157 nucleotides) from 26 genera. Many taxa were only partially represented, with an average of 3.95 and 5.43 mitochondrial genes per species and per genus, respectively, and 2.23 nuclear genes per genus. Our analyses of mitochondrial DNA place Tarsiiformes as the sister group of Strepsirrhini. Within Haplorrhini, we find support for the primary divergence of Pitheciidae in Platyrrhini, and our results suggest a sister grouping of African and non-African colobines within Colobinae and of Cercopithecini and Papionini within Cercopthecinae. Date estimates for nodes within each family and genus are presented, with estimates for key splits including: Strepsirrhini-Haplorrhini 64 million years ago (MYA), Lemuriformes-Lorisiformes 52 MYA, Platyrrhini-Catarrhini 43 MYA and Cercopithecoidea-Hominoidea 29 MYA. CONCLUSION: We present an up-to-date, comprehensive estimate of the structure and tempo of primate evolutionary history. Although considerable gaps remain in our knowledge of the primate phylogeny, increased data sampling, particularly from nuclear loci, will be able to provide further resolution.
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Clustal W and Clustal X version 2.0
Larkin, M. A., Blackshields, G., Brown, N. P., Chenna, R., McGettigan, P. A., McWilliam, H., Valentin, F., Wallace, I. M., Wilm, A., Lopez, R., et al. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm404 · Cited by 28,358
MRBAYES: Bayesian inference of phylogenetic trees.
Huelsenbeck, J. P., & Ronquist, F. (2001) · Bioinformatics · doi:10.1093/bioinformatics/17.8.754 · Cited by 21,937
RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models
Stamatakis, A. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl446 · Cited by 15,582
BEAST: Bayesian evolutionary analysis by sampling trees
Drummond, A. J., & Rambaut, A. (2007) · BMC Evolutionary Biology · doi:10.1186/1471-2148-7-214 · Cited by 12,919
Pruesse, E., Quast, C., Knittel, K., Fuchs, B. M., Ludwig, W., Peplies, J., & Glockner, F. O. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm864 · Cited by 6,668
Relaxed Phylogenetics and Dating with Confidence
Drummond, A. J., Ho, S. Y. W., Phillips, M. J., & Rambaut, A. (2006) · PLoS Biology · doi:10.1371/journal.pbio.0040088 · Cited by 6,463 · cited 4×
“By using the uncorrelated lognormal relaxed-clock model [41], rates were allowed to vary among branches without the a priori assumption of autocorrelation between adjacent branches [95].”
BackgroundMethodInfluentialSelf-citationInitial sequence of the chimpanzee genome and comparison with the human genome
The Chimpanzee Sequencing and Analysis Consortium (2005) · Nature · doi:10.1038/nature04072 · Cited by 2,459
The delayed rise of present-day mammals
Bininda-Emonds, O. R. P., Cardillo, M., Jones, K. E., MacPhee, R. D. E., Beck, R. M. D., Grenyer, R., Price, S. A., Vos, R. A., Gittleman, J. L., & Purvis, A. (2007) · Nature · doi:10.1038/nature05634 · Cited by 2,082
Sanderson, M. J. (2003) · Bioinformatics · doi:10.1093/bioinformatics/19.2.301 · Cited by 1,906
Evolutionary and biomedical insights from the rhesus macaque genome.
Gibbs, R. A., Rogers, J., Katze, M. G., Bumgarner, R., Weinstock, G. M., Mardis, E. R., Remington, K. A., Strausberg, R. L., Venter, J. C., Wilson, R. K., et al. (2007) · Science · doi:10.1126/science.1139247 · Cited by 1,403
Cited by
A molecular phylogeny of living primates
Perelman, P., Johnson, W. E., Roos, C., Seuánez, H. N., Horvath, J. E., Moreira, M. A. M., Kessing, B., Pontius, J., Roelke, M., Rumpler, Y., et al. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1001342 · Cited by 1,414
“Cercopithecidae includes two subfamilies, Colobinae and Cercopithecinae, which diverged 18 MYA (node 62), but classification schemes [2] are marked by inconsistencies between morphological [37,38] and genetic data, as well as differences among genetic data studies [4,27,39-44].”
BackgroundMethodResultInfluentialSpringer, M. S., Meredith, R. W., Gatesy, J., Emerling, C. A., Park, J., Rabosky, D. L., Stadler, T., Steiner, C., Ryder, O. A., Janečka, J. E., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0049521 · Cited by 520
A glimpse on the pattern of rodent diversification: a phylogenetic approach
Fabre, P.-H., Hautier, L., Dimitrov, D., & P Douzery, E. J. (2012) · BMC Evolutionary Biology · doi:10.1186/1471-2148-12-88 · Cited by 508
Primate phylogenetic relationships and divergence dates inferred from complete mitochondrial genomes
Pozzi, L., Hodgson, J. A., Burrell, A. S., Sterner, K. N., Raaum, R. L., & Disotell, T. R. (2014) · Molecular Phylogenetics and Evolution · doi:10.1016/j.ympev.2014.02.023 · Cited by 314
A Mitogenomic Phylogeny of Living Primates
Finstermeier, K., Zinner, D., Brameier, M., Meyer, M., Kreuz, E., Hofreiter, M., & Roos, C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0069504 · Cited by 263
Metadata
- Authors
- Chatterjee, H. J., Ho, S. Y., Barnes, I., & Groves, C.
- Venue
- BMC Evolutionary Biology
- Published
- 2009
- Volume
- 9
- Issue
- 1
- Pages
- 259
- ISSN
- 1471-2148 (ISSN-L)
- OpenAlex
- W1972826893
- Cited by
- 303
- References
- 91
- FWCI
- 13.88
- Type
- journal article
- Language
- en
- Open access
- gold
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