2001
DOI: 10.1126/science.1065889
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Bayesian Inference of Phylogeny and Its Impact on Evolutionary Biology

Abstract: As a discipline, phylogenetics is becoming transformed by a flood of molecular data. These data allow broad questions to be asked about the history of life, but also present difficult statistical and computational problems. Bayesian inference of phylogeny brings a new perspective to a number of outstanding issues in evolutionary biology, including the analysis of large phylogenetic trees and complex evolutionary models and the detection of the footprint of natural selection in DNA sequences.

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Cited by 2,372 publications
(1,380 citation statements)
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References 31 publications
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“…Given that previously recognized NJ p ‐distance methods that identified PCV2 genotype were questioned by Franzo et al,15 we explored the phylogenetic history of PCV3 based on recent outbreak strains 41, 42. For the genotype identification of PCV3, three different algorithms, NJ, ML, and MCC, were used and two stable clades were identified (PCV3a and PCV3b).…”
Section: Discussionmentioning
confidence: 99%
“…Given that previously recognized NJ p ‐distance methods that identified PCV2 genotype were questioned by Franzo et al,15 we explored the phylogenetic history of PCV3 based on recent outbreak strains 41, 42. For the genotype identification of PCV3, three different algorithms, NJ, ML, and MCC, were used and two stable clades were identified (PCV3a and PCV3b).…”
Section: Discussionmentioning
confidence: 99%
“…Then, for cyt-b, Bayesian analyses were conducted using MrBayes version 3.0 b4 (Huelsenbeck et al, 2001), which performs Metropolis-coupled Markov chain Monte Carlo analysis. A GTR model was used, with an among-site rate variation following a gamma distribution.…”
Section: Phylogenetic Methodsmentioning
confidence: 99%
“…Evolutionary Biology Centre, Uppsala University) was used to determine the best nucleotide substitution model. Phylogenetic analyses were then performed with MrBayes v. 3.1 (Huelsenbeck et al, 2001;Ronquist and Huelsenbeck, 2003) applying a general time-reversible (GTR) substitution model with gamma (G) and proportion of invariable site (I) parameters to accommodate variable rates across sites. The Markov Chain Monte Carlo (MCMC) analysis of four chains started from random tree topology and lasted 1,000,000 generations.…”
Section: Phylogenetic Analysesmentioning
confidence: 99%