Hostname: page-component-848d4c4894-xm8r8 Total loading time: 0 Render date: 2024-06-29T08:35:37.523Z Has data issue: false hasContentIssue false

Structured coalescent with nonconservative migration

Published online by Cambridge University Press:  14 July 2016

Koffi Y. Sampson*
Affiliation:
Florida State University
*
Postal address: School of Computational Science, Florida State University, 150B Dirac Science Library, Tallahassee, FL 32306-4120, USA. Email address: sampson@csit.fsu.edu
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

We study the ancestral process of a sample from a subdivided population with stochastically varying subpopulation sizes. The sizes of the subpopulations change very rapidly (almost every generation) with respect to the coalescent time scale. For haploid populations of size N, one coalescence time unit corresponds to N generations. Coalescence and migration events occur on the same time scale. We show that, when the total population size tends to infinity, the structured coalescent is obtained, thus confirming the robustness of the coalescent. Many population structure models have been shown to converge to the structured coalescent (see Herbots (1997), Hudson (1998), Nordborg (2001), Nordborg and Krone (2002), and Notohara (1990)).

Type
Research Papers
Copyright
© Applied Probability Trust 2006 

References

Bahlo, M. and Griffiths, R. C. (2000). Inference from gene trees in a subdivided population. Theoret. Pop. Biol. 57, 7995.CrossRefGoogle Scholar
Beerli, P. and Felsenstein, J. (2001). Maximum likelihood estimation of a migration matrix and effective population sizes in n subpopulations by using a coalescent approach. Proc. Nat. Acad. Sci. USA 98, 45634568.CrossRefGoogle Scholar
Donnelly, P. (1986). A genealogical approach to variable population size models in population genetics. J. Appl. Prob. 23, 283296.CrossRefGoogle Scholar
Donnelly, P. and Tavaré, S. (1995). Coalescents and genealogical structure under neutrality. Ann. Rev. Genet. 29, 401421.CrossRefGoogle ScholarPubMed
Ethier, S. N. and Kurtz, T. G. (1986). Markov Processes: Characterization and Convergence. John Wiley, New York.CrossRefGoogle Scholar
Fu, Y. X. (1997). Coalescent theory for a partially selfing population. Genetics 146, 14891499.CrossRefGoogle ScholarPubMed
Griffiths, R. C. and Marjoram, P. (1996). Ancestral inference from samples of DNA sequences with recombination. J. Comput. Biol. 3, 479502.CrossRefGoogle ScholarPubMed
Griffiths, R. C. and Tavaré, S. (1994). Sampling theory for neutral alleles in a varying environment. Phil. Trans. R. Soc. London B 344, 403410.Google Scholar
Herbots, H. M. (1994). Stochastic models in population genetics: genealogy and genetic differentiation in structured populations. , University of London.Google Scholar
Herbots, H. M. (1997). The structured coalescent. In Progress in Population Genetics and Human Evolution, eds Donnelly, P. and Tavaré, S., Springer, New York, pp. 231255.CrossRefGoogle Scholar
Hey, J. and Wakeley, J. (1997). A coalescent estimator of the population recombination rate. Genetics 145, 833846.CrossRefGoogle ScholarPubMed
Hudson, R. R. (1990). Gene genealogies and the coalescent process. In Oxford Surveys in Evolutionary Biology, Vol. 7, eds Futuyma, D. and Antonovics, J., Oxford University Press, pp. 143.Google Scholar
Hudson, R. R. (1998). Island models and the coalescent process. Mol. Ecol. 7, 413418.CrossRefGoogle Scholar
Hudson, R. R. and Kaplan, N. L. (1988). The coalescent process in models with selection and recombination. Genetics 120, 831840.CrossRefGoogle ScholarPubMed
Jagers, P. and Sagitov, S. (2004). Convergence to the coalescent in populations of substantially varying size. J. Appl. Prob. 41, 3348.CrossRefGoogle Scholar
Kaj, I. and Krone, S. M. (2003). The coalescent process in a population with stochastically varying size. emph {J. Appl. Prob.} 40, 368378.CrossRefGoogle Scholar
Kaj, I., Krone, S. M. and Lascoux, M. (2001). Coalescent theory for seed bank models. J. Appl. Prob. 38, 285301.CrossRefGoogle Scholar
Kaplan, N. L., Darden, T. and Hudson, R. R. (1988). The coalescent process in models with selection. Genetics 120, 819829.Google ScholarPubMed
Kingman, J. F. C. (1982a). Exchangeability and the evolution of large populations. In Exchangeability in Probability and Statistics, eds Koch, G. and Spizzichino, F., North-Holland, Amsterdam, pp. 97112.Google Scholar
Kingman, J. F. C. (1982b). On the genealogy of large populations. In Essays in Statistical Science (J. Appl. Prob. Spec. Vol. 19A), eds Gani, J. and Hannan, E. J., Applied Probability Trust, Sheffield, pp. 2743.Google Scholar
Kingman, J. F. C. (1982c). The coalescent. Stoch. Process. Appl. 13, 235248.CrossRefGoogle Scholar
Möhle, M. (1998a). A convergence theorem for Markov chains arising in population genetics and the coalescent with selfing. Adv. Appl. Prob. 30, 493512.CrossRefGoogle Scholar
Möhle, M. (1998b). Coalescent results for two-sex population models. Adv. Appl. Prob. 30, 513520.CrossRefGoogle Scholar
Möhle, M. (2002). The coalescent in population models with time-inhomogeneous environment. Stoch. Process. Appl. 97, 199227.CrossRefGoogle Scholar
Möhle, M. and Sagitov, S. (2003). Coalescent patterns in diploid exchangeable population models. J. Math. Biol. 47, 337352.CrossRefGoogle ScholarPubMed
Neuhauser, C. and Krone, S. M. (1997). The genealogy of samples in models with selection. Genetics 145, 519534.CrossRefGoogle ScholarPubMed
Nordborg, M. (1997). Structured coalescent processes on different time scales. Genetics 146, 15011514.CrossRefGoogle ScholarPubMed
Nordborg, M. (1999). The coalescent with partial selfing and balancing selection: an application of structured coalescent processes. In Statistics in Molecular Biology and Genetics (IMS Lecture Notes Monogr. Ser. 33), Institute of Mathematical Statistics, Hayward, CA, pp. 5676.CrossRefGoogle Scholar
Nordborg, M. (2001). Coalescent theory. In Handbook of Statistical Genetics, eds Balding, D. J., Bishop, M. J. and Cannings, C., John Wiley, Chichester, pp. 179212.Google Scholar
Nordborg, M. and Donnelly, P. (1997). The coalescent process with selfing. Genetics 146, 11851195.CrossRefGoogle ScholarPubMed
Nordborg, M. and Krone, S. M. (2002). Separation of time scales and convergence to the coalescent in structured populations. In Modern Developments in Theoretical Population Genetics, eds Slatkin, M. and Veuille, M., Oxford University Press, pp. 194232.CrossRefGoogle Scholar
Notohara, M. (1990). The coalescent and the genealogical process in geographically structured populations. J. Math. Biol. 29, 5975.CrossRefGoogle Scholar
Sampson, K. Y. (2004). Structured coalescent with nonconservative migration. , Department of Mathematics, University of Idaho.Google Scholar
Sano, A., Shimizu, A. and Iizuka, M. (2004). Coalescent process with fluctuating population size and its effective size. Theoret. Pop. Biol. 65, 3948.CrossRefGoogle ScholarPubMed
Tajima, F. (1983). Evolutionary relationship of DNA sequences in finite populations. Genetics 105, 437460.CrossRefGoogle ScholarPubMed
Tajima, F. (1989). The effect of change in population size on DNA polymorphism. Genetics 123, 597601.CrossRefGoogle ScholarPubMed
Takahata, N. (1991). Genealogy of neutral genes and spreading of selected mutations in a geographically structured population. Genetics 129, 585595.CrossRefGoogle Scholar
Tavaré, S. (1984). Line-of-descent and genealogical processes, and their applications in population genetics models. Theoret. Pop. Biol. 26, 119164.CrossRefGoogle ScholarPubMed
Wakeley, J. (2000). The effects of subdivision on the genetic divergence of populations and species. Evolution 54, 10921101.Google ScholarPubMed
Wilkinson-Herbots, H. M. (1998). Genealogy and subpopulation differentiation under various models of population structure. J. Math. Biol. 37, 535585.CrossRefGoogle Scholar