Dear colleagues - the most exciting news certainly is that Joerg Ploetner is organizing the third Waterfrog symposium in Berlin in this Fall, 20 years after the first waterfrog symposium at the same place. Peter Beerli |
Coalescence and maximum likelihood in Seattle Perhaps you will ask yourselves why I (Peter Beerli) am contributing from Seattle to this newsletter. The water frog pages are not my main work, as many of you know, but more of a hobby. I work in Joseph Felsenstein's lab at the University of Washington. Our general subject is completely theoretical; we develop methods for the analyses of phylogenetic relationships between species [program package PHYLIP (*1)] and for estimation of population parameters (such as effective population size, recombination rate, and migration rates) from genetic data (electrophoretic markers, microsatellites, DNA sequences, SNPs). [program package LAMARC (*2)]. I am writing methods and programs for the estimation of population sizes and migration rates. These methods are based on coalescence theory(*3) and maximum likelihood. It is possible to estimate all population parameters jointly; for example, in a data set with four subpopulations one can estimate all subpopulation sizes and all migration rates (a total of 16 parameters). This is a marked improvement over older available methods (based on Sewall Wright's FST and its newer derivatives), with which one estimates either one overall 4Nm or four 4Nm_i using pairs of populations. If you are interested in these kind of analyses for your water frog data, then you should visit our LAMARC website . You should also have a look at the website of our competition (here). Publications on these programs have been accepted, but are not yet in print, although a comparison between FST-based methods and my program MIGRATE is available. Literature of interest: Beerli, P. (1998) Estimation of migration rates and population sizes in geographically structured populations. In Advances in molecular ecology (Ed. G. Carvalho). NATO-ASI workshop series. ISO, Amsterdam. Pp. 39-53. Kuhner M. K., J. Yamato, and J. Felsenstein. (1995) Estimating effective population size and mutation rate from sequence data using Metropolis-Hastings sampling. Genetics 140: 1421-1430. Kuhner, M. K., J. Yamato, and J. Felsenstein. (1998) Maximum likelihood estimation of population growth rates basedon the coalescent. Genetics 149: 429-434. Schnabel, A., P. Beerli, A. Estoup, D. Hillis. (1998) A guide to software packages for data analysis on molecular ecology. In Advances in molecular ecology (Ed. G. Carvalho). NATO-ASI workshop series. ISO, Amsterdam. Pp. 291-303. (*1) PHYLIP - Phylogenetic Inference Package, a software package to analyse phylogenetic relationsships (distance, compatiblity, parsimony, and likleihood methods). Website: http://waterfrogs.scs.fsu.edu/phylip.html. (*2) LAMARC - Likelihood Analyses with Markov chain Monte Carlo using Random Coalescences, a package to estimate population parameters from genetic data. Website: http://waterfrogs.scs.fsu.edu/lamarc.html (*3) coalescence theory: Consider a simple population model, in which a constant number, n, of individuals live exactly one generation, and contribute a huge number gametes to the next generation of which two are randomly drawn to form each individual, up to the effective population size of n individuals. If we try to follow genes from generation 0 forward to generation m, we are soon lost in the huge number of possible paths through this genealogy from the beginning to today. In 1982, J. F. C. Kingman published two articles showing how we can gain information from a sample of individuals today if we trace back through possible genealogies. In contrast to the forward-looking methods, if we look back, we have fewer and fewer relationships; eventually some of the lineages coalesce because these lineages share the same parent. Additional (and more enlightening) information can be found in R. R. Hudson's (1990) Gene genealogies and the coalescent process, published in Oxford Surveys in Evolutionary Biology 7: 1-44.Peter Beerli |
Pagano, Alain, and Pierre Joly (1998) Limits of the morphometric method for taxonomic field identification of water frogs. Alytes 16:3-4. Abstract: Taxonomic identification of the water frogs has evolved since hybridogenesis has been revealed within the Rana esculenta complex. Although the study of protein polymorphism has proved robust in taxonomic information, morphometric measurements are currently used despite of some limits. By comparing results obtained with these two techniques, this study shows that morphometry is does not always provide a decisive taxonomic information for field identification. In the three populations studied, in the mid-Rhone floodplain, the morphs of Rana ridibunda and the hybrid R. kl. esculenta greatly overlap in morphometrical characters. |
Plenet, S. and P. Joly, and A. Pagano (1998) Is habitat requirement by an oxygen-dependent frog (Rana ridibunda) governed by its larval stage? Arch. Hydrobiol. (1998) 143/1: 107-119. Abstract:
According to the literature and to our own experience, R. ridibunda is
absent from ponds with occasionally low oxygen concentrations. We tested
the effects of stochastically fluctuating oxygen concentration on tadpole
survival and growth under laboratory conditions. Two experimental
treatments (constant and fluctuating oxygen regimes) were arranged in a
factorial design with three populations of R. ridibunda.
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Principles and characteristics of ESF Networks ESF networks are primarily oriented towards coordinating activities in order to stimulate and consolidate the European scientific community in specific topics, to promote mobility of scientists within the community, and to increase mutual awareness in the relevant scientific community. In common with all ESF activities, the fields include the natural and physical sciences, the medical and life sciences, economics and the social sciences, and the humanities, reflecting the full disciplinary spread of ESF Standing Committees. Interdisciplinarity within and between scientific areas is encouraged. Activities may include organization of workshops in specific fields, international meetings, and exchanges. In certain instances, ESF networks may also lead to the establishment and implementation of larger ESF or other collaborative research activities. Underlying the ESF Network concept are the following characteristics:
(Dirk Schmeller) |
We will start a new column on the topics mentioned in the title. Any recent literature/thoughts /ideas etc. that you want to share are welcome. Send them directly to Maria Ogielska (ogielska@biol.uni.wroc.pl).
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III. International Symposium on
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