Evolutionary trees from DNA sequences: A maximum likelihood approach (original) (raw)
Summary
The application of maximum likelihood techniques to the estimation of evolutionary trees from nucleic acid sequence data is discussed. A computationally feasible method for finding such maximum likelihood estimates is developed, and a computer program is available. This method has advantages over the traditional parsimony algorithms, which can give misleading results if rates of evolution differ in different lineages. It also allows the testing of hypotheses about the constancy of evolutionary rates by likelihood ratio tests, and gives rough indication of the error of the estimate of the tree.
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References
- Camin J H, Sokal R R (1965) Evolution 19:311–326
Google Scholar - Cannings C, Thompson E A, Skolnick M H (1976) Adv Appl Probab 8:622–625
Google Scholar - Cavender J A (1978) Math Biosci 40:271–280
Google Scholar - Chakraborty R (1977) Can J Genet Cytol 19:217–223
Google Scholar - Colless D H (1970) Syst Zool 16:289–295
Google Scholar - Dahlquist G, Björck A, Anderson N (1974) Numerical Methods. Englewood Cliffs, Prentice Hall, New Jersey
Google Scholar - Dempster A P, Laird M N, Rubin D B (1977) J R Stat Soc B 39:1–38
Google Scholar - Edwards A W F (1963) Heredity 18:553
Google Scholar - Edwards A W F, Cavalli-Sforza (1964). Phenetic and phylogenetic classification. Heywood V H, McNeill J (eds) Systematics Association Publication No 6 Systematics Association, London, pp 67–76
Google Scholar - Elston R C, Stewart J (1971) Hum Hered 21:523–542
Google Scholar - Erdmann V A (1979) Nucleic Acids Res 6:r29-r44
Google Scholar - Estabrook G F, Landrum L (1975) Taxon 24:609–613
Google Scholar - Felsenstein J (1973) Syst Zool 22:240–249
Google Scholar - Felsenstein J (1978) Syst Zool 27:27–33
Google Scholar - Felsenstein J (1978) Syst Zool 27:401–410
Google Scholar - Felsenstein J (1979) Syst Zool 28:49–62
Google Scholar - Ferris S D, Portnoy S L, Whitt G S (1979) Theor Popul Bio 15:114–139
Google Scholar - Fitch W M, Margoliash E (1967) Science 155:279–284
Google Scholar - Gillespie J H, Langley C H (1979) J Mol Evol 13:27–34
Google Scholar - Holmquist R (1972) J Mol Evol 1:115–133
Google Scholar - Kaplan N, Langley C H (1979) J Mol Evol 13, 295–304
Google Scholar - Kashyap R L, Subas S (1974) J Theor Biol 47:75–101
Google Scholar - Langley C H, Fitch W M (1974). J Mol Evol 3:161–177
Google Scholar - Le Quesne W J (1969) Syst Zool 18:201–205
Google Scholar - Neyman J (1971) Statistical decision theory and related topics Gupta S S, Yackel J (eds) Academic Press, New York, pp 1–27
Google Scholar - Sneath P H A, Sackin J J, Ambler R P (1975) Syst Zool 24:311–332
Google Scholar
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Authors and Affiliations
- Department of Genetics, University of Washington, 98195, Seattle, Washington, USA
Joseph Felsenstein
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- Joseph Felsenstein
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This report was prepared as an account of work sponsored by the United States Government. Neither the United States nor the United States Department of Energy, nor any of their employees, nor any of their contractors, subcontractors, or their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness or usefulness of any information, apparatus, product or process disclosed, or represents that its use would not infringe privately-owned rights
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Felsenstein, J. Evolutionary trees from DNA sequences: A maximum likelihood approach.J Mol Evol 17, 368–376 (1981). https://doi.org/10.1007/BF01734359
- Received: 22 October 1980
- Revised: 08 April 1981
- Issue Date: November 1981
- DOI: https://doi.org/10.1007/BF01734359