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A coalescent framework for comparing alternative models of population structure with genetic data: evolution of Celebes toads.

ABSTRACT: Isolation of populations eventually leads to divergence by genetic drift, but if connectivity varies over time, its impact on diversification may be difficult to discern. Even when the habitat patches of multiple species overlap, differences in their demographic parameters, molecular evolution and stochastic events contribute to differences in the magnitude and distribution of their genetic variation. The Indonesian island of Sulawesi, for example, harbours a suite of endemic species whose intraspecific differentiation or interspecific divergence may have been catalysed by habitat fragmentation. To further test this hypothesis, we have performed phylogenetic and coalescent-based analyses on molecular variation in mitochondrial and nuclear DNA of the Celebes toad (Bufo celebensis). Results support a role for habitat fragmentation that led to a population structure in these toads that closely matches distributions of Sulawesi macaque monkeys. Habitat fragmentation, therefore, may also have affected other groups on this island.

SUBMITTER: Evans BJ

PROVIDER: S-EPMC2610146 | biostudies-literature | 2008 Aug

REPOSITORIES: biostudies-literature

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A coalescent framework for comparing alternative models of population structure with genetic data: evolution of Celebes toads.

Evans Ben J BJ McGuire Jimmy A JA Brown Rafe M RM Andayani Noviar N Supriatna Jatna J

Biology letters 20080801 4

Isolation of populations eventually leads to divergence by genetic drift, but if connectivity varies over time, its impact on diversification may be difficult to discern. Even when the habitat patches of multiple species overlap, differences in their demographic parameters, molecular evolution and stochastic events contribute to differences in the magnitude and distribution of their genetic variation. The Indonesian island of Sulawesi, for example, harbours a suite of endemic species whose intra ...[more]

PMID: 18511406

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Project description:Background. In coalescent theory, computer programs often use importance sampling to calculate likelihoods and other statistical quantities. An importance sampling scheme can exploit human intuition to improve statistical efficiency of computations, but unfortunately, in the absence of general computer frameworks on importance sampling, researchers often struggle to translate new sampling schemes computationally or benchmark against different schemes, in a manner that is reliable and maintainable. Moreover, most studies use computer programs lacking a convenient user interface or the flexibility to meet the current demands of open science. In particular, current computer frameworks can only evaluate the efficiency of a single importance sampling scheme or compare the efficiencies of different schemes in an ad hoc manner. Results. We have designed a general framework (http://coalescent.sourceforge.net; language: Java; License: GPLv3) for importance sampling that computes likelihoods under the standard neutral coalescent model of a single, well-mixed population of constant size over time following infinite sites model of mutation. The framework models the necessary core concepts, comes integrated with several data sets of varying size, implements the standard competing proposals, and integrates tightly with our previous framework for calculating exact probabilities. For a given dataset, it computes the likelihood and provides the maximum likelihood estimate of the mutation parameter. Well-known benchmarks in the coalescent literature validate the accuracy of the framework. The framework provides an intuitive user interface with minimal clutter. For performance, the framework switches automatically to modern multicore hardware, if available. It runs on three major platforms (Windows, Mac and Linux). Extensive tests and coverage make the framework reliable and maintainable. Conclusions. In coalescent theory, many studies of computational efficiency consider only effective sample size. Here, we evaluate proposals in the coalescent literature, to discover that the order of efficiency among the three importance sampling schemes changes when one considers running time as well as effective sample size. We also describe a computational technique called "just-in-time delegation" available to improve the trade-off between running time and precision by constructing improved importance sampling schemes from existing ones. Thus, our systems approach is a potential solution to the "2(8) programs problem" highlighted by Felsenstein, because it provides the flexibility to include or exclude various features of similar coalescent models or importance sampling schemes.

Dataset Information

A coalescent framework for comparing alternative models of population structure with genetic data: evolution of Celebes toads.

Publications

A coalescent framework for comparing alternative models of population structure with genetic data: evolution of Celebes toads.

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