Literature DB >> 19435739

A phylogenetic mixture model for gene family loss in parasitic bacteria.

Matthew Spencer1, Ajanthah Sangaralingam.   

Abstract

Gene families are frequently gained and lost from prokaryotic genomes. It is widely believed that the rate of loss was accelerated for some but not all gene families in lineages that became parasites or endosymbionts. This leads to a form of heterotachy that may be responsible for the poor performance of phylogeny estimation based on gene content. We describe a mixture model that accounts for this heterotachy. We show that this model fits data on the distribution of gene families across bacteria from the COG database much better than previous models. However, it still favors an artifactual tree topology in which parasites form a clade over the more plausible 16S topology. In contrast to a previous model of genome dynamics, our model suggests that the ancestral bacterium had a small genome. We suggest that models of gene family gain and loss are likely to be more useful for understanding genome dynamics than for estimating phylogenetic trees.

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Year:  2009        PMID: 19435739     DOI: 10.1093/molbev/msp102

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  10 in total

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4.  On the artefactual parasitic eubacteria clan in conditioned logdet phylogenies: heterotachy and ortholog identification artefacts as explanations.

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5.  Inference of gain and loss events from phyletic patterns using stochastic mapping and maximum parsimony--a simulation study.

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7.  A multi-scale coevolutionary approach to predict interactions between protein domains.

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8.  Inference and characterization of horizontally transferred gene families using stochastic mapping.

Authors:  Ofir Cohen; Tal Pupko
Journal:  Mol Biol Evol       Date:  2009-10-06       Impact factor: 16.240

9.  Meta-analysis of general bacterial subclades in whole-genome phylogenies using tree topology profiling.

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10.  Horizontal transfer and gene conversion as an important driving force in shaping the landscape of mitochondrial introns.

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Journal:  G3 (Bethesda)       Date:  2014-04-16       Impact factor: 3.154

  10 in total

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