Evidence map›Paper›PMID 18492275›Full record

ArticleBMC genomics2008

Uncovering rate variation of lateral gene transfer during bacterial genome evolution.

Weilong Hao, G Brian Golding

Erratum issuedAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Inferring horizontal gene transfer.PLoS computational biology · 2015
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. How microbiology helps define the rhizome of life.Frontiers in cellular and infection microbiology · 2012
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Horizontal gene transfer in evolution: facts and challenges.Proceedings. Biological sciences · 2010
    Review
  14. Article
  15. Article
  16. Article
  17. Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

2 authors.

Weilong HaoDepartment of Biology, McMaster University, Hamilton, Ontario L8S 4K1, Canada . Haow@indiana.edu
G Brian Golding

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Evolution, MolecularBacillusGene DeletionGene Transfer, HorizontalGenome, BacterialLikelihood FunctionsModels, GeneticMutagenesis, InsertionalPhylogeny

Identifiers

PMID18492275
PMCPMC2426709

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.