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9 results for “multilocus model”
Data from: The multilocus multispecies coalescent: a flexible new model of gene family evolution
<p>Incomplete lineage sorting (ILS), the interaction between coalescence and speciation, can generate incongruence between gene trees and species trees, as can gene duplication (D), transfer (T) and loss (L). These processes are usually modelled independently, but in reality, ILS can affect gene copy number polymorphism, i.e., interfere with DTL. This has been previously recognised, but not treated in a satisfactory way, mainly because DTL events are naturally modelled forward-in-time, while ILS is naturally modelled backwards-in-time with the coalescent. Here we consider the joint action of ILS and DTL on the gene tree/species tree problem in all its complexity. In particular, we show that the interaction between ILS and duplications/transfers (without losses) can result in patterns usually interpreted as resulting from gene loss, and that the realised rate of D, T and L becomes non-homogeneous in time when ILS is taken into account. We introduce algorithmic solutions to these problems. Our new model, the <em>multilocus multispecies coalescent</em> (MLMSC), which also accounts for any level of linkage between loci, generalises the multispecies coalescent model and offers a versatile, powerful framework for proper simulation and inference of gene family evolution.</p>
Data from: Modeling multilocus selection in an individual-based, spatially-explicit landscape genetics framework
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Data from: The multilocus multispecies coalescent: a flexible new model of gene family evolution
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Data from: A rapid and scalable method for multilocus species delimitation using Bayesian model comparison and rooted triplets
Multilocus sequence data provide far greater power to resolve species limits than the single locus data typically used for broad surveys of clades. However, current statistical methods based on a multispecies coalescent framework are computationally demanding, because of the number of possible delimitations that must be compared and time-consuming likelihood calculations. New methods are therefore needed to open up the power of multilocus approaches to larger systematic surveys. Here, we present a rapid and scalable method that introduces 2 new innovations. First, the method reduces the complexity of likelihood calculations by decomposing the tree into rooted triplets. The distribution of topologies for a triplet across multiple loci has a uniform trinomial distribution when the 3 individuals belong to the same species, but a skewed distribution if they belong to separate species with a form that is specified by the multispecies coalescent. A Bayesian model comparison framework was developed and the best delimitation found by comparing the product of posterior probabilities of all triplets. The second innovation is a new dynamic programming algorithm for finding the optimum delimitation from all those compatible with a guide tree by successively analyzing subtrees defined by each node. This algorithm removes the need for heuristic searches used by current methods, and guarantees that the best solution is found and potentially could be used in other systematic applications. We assessed the performance of the method with simulated, published, and newly generated data. Analyses of simulated data demonstrate that the combined method has favorable statistical properties and scalability with increasing sample sizes. Analyses of empirical data from both eukaryotes and prokaryotes demonstrate its potential for delimiting species in real cases.
Data from: A rapid and scalable method for multilocus species delimitation using Bayesian model comparison and rooted triplets
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Data from: A multilocus timescale for oomycete evolution estimated under three distinct molecular clock models
Background: Molecular clock methodologies allow for the estimation of divergence times across a variety of organisms; this can be particularly useful for groups lacking robust fossil histories, such as microbial eukaryotes with few distinguishing morphological traits. Here we have used a Bayesian molecular clock method under three distinct clock models to estimate divergence times within oomycetes, a group of fungal-like eukaryotes that are ubiquitous in the environment and include a number of devastating pathogenic species. The earliest fossil evidence for oomycetes comes from the Lower Devonian (~400 Ma), however the taxonomic affinities of these fossils are unclear. Results: Complete genome sequences were used to identify orthologous proteins among oomycetes, diatoms, and a brown alga, with a focus on conserved regulators of gene expression such as DNA and histone modifiers and transcription factors. Our molecular clock estimates place the origin of oomycetes by at least the mid-Paleozoic (~430-400 Ma), with the divergence between two major lineages, the peronosporaleans and saprolegnialeans, in the early Mesozoic (~225-190 Ma). Divergence times estimated under the three clock models were similar, although only the strict and random local clock models produced reliable estimates for most parameters. Conclusions: Our molecular timescale suggests that modern pathogenic oomycetes diverged well after the origin of their respective hosts, indicating that environmental conditions or perhaps horizontal gene transfer events, rather than host availability, may have driven lineage diversification. Our findings also suggest that the last common ancestor of oomycetes possessed a full complement of eukaryotic regulatory proteins, including those involved in histone modification, RNA interference, and tRNA and rRNA methylation; interestingly no match to canonical DNA methyltransferases could be identified in the oomycete genomes studied here.
Data from: Kakusan4 and Aminosan: two programs for comparing nonpartitioned, proportional, and separate models for combined molecular phylogenetic analyses of multilocus sequence data
Proportional and separate models able to apply different combination of substitution rate matrix and among-site rate variation model to each locus are frequently used in phylogenetic studies of multilocus data. However, the selection from among nonpartitioned (i.e., a common combination of models is applied to all-loci concatenated sequences), proportional, and separate models is usually based on the researcher's preference rather than on any information criteria. The present study describes two programs, "Kakusan4" (for DNA sequences) and "Aminosan" (for amino-acid sequences), that allow the selection of evolutionary models based on several types of information criteria. The programs can handle both multilocus and single-locus data, in addition to providing an easy-to-use wizard interface and a non-interactive command line interface. In the case of multilocus data, substitution rate matrices and among-site rate variation models are compared at each locus and at all-loci concatenated sequences, after which nonpartitioned, proportional, and separate models are compared based on information criteria. The programs also provide model configuration files for MrBayes, PAUP*, PHYML, RAxML, and Treefinder to support further phylogenetic analysis using a selected model. The best-fit models were found to differ depending on the data set. Furthermore, differences in the information criteria among nonpartitioned, proportional, and separate models were much larger than those among the nonpartitioned models. These findings suggest that selecting from nonpartitioned, proportional, and separate models results in a better phylogenetic tree. Kakusan4 and Aminosan are available at http://www.fifthdimension.jp/. They are licensed under GNU GPL Ver.2, and are able to run on Windows, MacOS X, and Linux.
Data from: A multilocus timescale for oomycete evolution estimated under three distinct molecular clock models
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Data from: Kakusan4 and Aminosan: two programs for comparing nonpartitioned, proportional, and separate models for combined molecular phylogenetic analyses of multilocus sequence data
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