ArticleBMC genomics2008
Uncovering rate variation of lateral gene transfer during bacterial genome evolution.
Article in BMC genomics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
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- M1CR0B1AL1Z3R-a user-friendly web server for the analysis of large-scale microbial genomics data.Nucleic acids research · 2019Article
- Inferring horizontal gene transfer.PLoS computational biology · 2015Article
- DiscML: an R package for estimating evolutionary rates of discrete characters using maximum likelihood.BMC bioinformatics · 2014Article
- Phylogeny of bacterial and archaeal genomes using conserved genes: supertrees and supermatrices.PloS one · 2013Article
- Being Aquifex aeolicus: Untangling a hyperthermophile's checkered past.Genome biology and evolution · 2013Article
- Meta-analysis of general bacterial subclades in whole-genome phylogenies using tree topology profiling.Evolutionary bioinformatics online · 2012Article
- How microbiology helps define the rhizome of life.Frontiers in cellular and infection microbiology · 2012Review
- Rhizome of life, catastrophes, sequence exchanges, gene creations, and giant viruses: how microbial genomics challenges Darwin.Frontiers in cellular and infection microbiology · 2012Review
- Inference of gain and loss events from phyletic patterns using stochastic mapping and maximum parsimony--a simulation study.Genome biology and evolution · 2011Article
- On the artefactual parasitic eubacteria clan in conditioned logdet phylogenies: heterotachy and ortholog identification artefacts as explanations.BMC evolutionary biology · 2010Article
- Article
- Horizontal gene transfer in evolution: facts and challenges.Proceedings. Biological sciences · 2010Review
- Inference and characterization of horizontally transferred gene families using stochastic mapping.Molecular biology and evolution · 2010Article
- On the need for widespread horizontal gene transfers under genome size constraint.Biology direct · 2009Article
- Article
- Inferring genomic flux in bacteria.Genome research · 2009Article
Corrections and comments
- Erratum issued
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLarge scale genome arrangement, such as whole gene insertion/deletion, plays an important role in bacterial genome evolution. Various methods have been employed to study the dynamic process of gene insertions and deletions, such as parsimony methods and maximum likelihood methods. Previous maximum likelihood studies have assumed that the rate of gene insertions/deletions is constant over different genes. This assumption is unrealistic. For instance, it has been shown that informational genes are less likely to be laterally transferred than non-informational genes. However, how much of the variation in gene transfer rates is due to the difference between informational genes and non-informational genes is unclear. In this study, a Gamma-distribution was incorporated in the likelihood estimation by considering rate variation for gene insertions/deletions between genes. This makes it possible to address whether a difference between informational genes and non-informational genes is the main contributor to rate variation of lateral gene transfers.
resultsThe results show that models incorporating rate variation fit the data better than do constant rate models in many phylogenetic groups. Even though informational genes are less likely to be laterally transferred than non-informational genes, the degree of rate variation for insertions/deletions did not change dramatically and remained high even when informational genes were excluded from the study. This suggests that the variation in rate of insertions/deletions is not due mainly to the simple difference between informational genes and non-informational genes. Among genes that are not classified as informational and among the informational genes themselves, there are still large differences in the rates that these genes are inserted and deleted.
conclusionWhile the difference in informational gene rates contributes to rate variation, it is only a small fraction of the variation present; instead, a substantial amount of rate variation for insertions/deletions remains among both informational genes and among non-informational genes.
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