A stochastic model for phylogenetic trees
Thomas M. Liggett and Rinaldo B. Schinazi
Source: J. Appl. Probab.
Volume 46, Number 2
(2009), 601-607.
Abstract
We propose the following simple stochastic model for phylogenetic trees. New types are born and die according to a
birth and death chain. At each birth we associate a fitness to the new type sampled from a fixed distribution. At each
death the type with the smallest fitness is killed. We show that if the birth (i.e. mutation) rate is subcritical, we
obtain a phylogenetic tree consistent with an influenza tree (few types at any given time and one dominating type
lasting a long time). When the birth rate is supercritical, we obtain a phylogenetic tree consistent with an HIV tree
(many types at any given time, none lasting very long).
Keywords: Phylogenetic tree; influenza; HIV; stochastic model
Full-text: Access denied (no subscription detected)
We're sorry, but we are unable to provide you with the full text of this article because we are not able to identify you as a subscriber.
If you have a personal subscription to this journal, then please login. If you are already logged in, then you may need to update your profile to register your subscription.
Read more about accessing full-text
Links and Identifiers
Permanent link to this document: http://projecteuclid.org/euclid.jap/1245676110
Digital Object Identifier: doi:10.1239/jap/1245676110
Zentralblatt MATH identifier:
05578829
Mathematical Reviews number (MathSciNet):
MR2535836
References
Durrett, R. (2004). Probability: Theory and Examples, 3rd edn. Duxbury press, Belmont, CA.
Feller, W. (1971). An Introduction to Probability Theory and Its Applications, Vol. 2, 2nd edn. John Wiley, New York.
Mathematical Reviews (MathSciNet):
MR270403
Keilson, J. (1979). Markov Chain Models---Rarity and Exponentiality (Appl. Math. Sci. 28). Springer, New York.
Mathematical Reviews (MathSciNet):
MR528293
Koelle, K., Cobey, S., Grenfell, B. and Pascual, M. (2006). Epochal evolution shapes the phylodynamics of interpandemic influenza A (H3N2) in humans. Science 314, 1898--1903.
Korber, B. \et (2001). Evolutionary and immunological implications of contemporary HIV-1 variation. British Med. Bull. 58, 19--42.
Port, S. C. (1994). Theoretical Probability for Applications. John Wiley, New York.
Van Nimwegen, E. (2006). Influenza escapes immunity along neutral networks. Science 314, 1884--1886.