Evidence map›Paper›PMID 15576679›Full record

ArticleNucleic acids research2004

Identification of genes with fast-evolving regions in microbial genomes.

Yu Zheng, Richard J Roberts, Simon Kasif

Abstract readEvaluation Study
In one paragraph

Article in Nucleic acids research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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. New insights into the genetic diversity, phylogeny, and immunogenic potential of theCurrent research in parasitology & vector-borne diseases · 2025
    Article
  2. Article
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  5. Article
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  9. Evolutionary Ecology of Prokaryotic Immune Mechanisms.Microbiology and molecular biology reviews : MMBR · 2016
    Review
  10. Article
  11. Article
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  14. The phage-host arms race: shaping the evolution of microbes.BioEssays : news and reviews in molecular, cellular and developmental biology · 2011
    Review
  15. Article
  16. Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yu ZhengBioinformatics Graduate Program, Boston University, Boston, MA 02215, USA.
Richard J Roberts
Simon Kasif

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complete sequences of multiple strains of the same microbial species provide an invaluable source for studying the evolutionary dynamics between orthologous genes over a relatively short time scale. Usually the intensity of the selection pressure is inferred from a comparison between the nonsynonymous substitution rate and the synonymous substitution rate. In this paper, we propose an alternative method for detecting genes with one or more fast-evolving regions from pairwise comparisons of orthologous genes. Our method looks for regions with overrepresented nonsynonymous mutations along the alignment, and requires a higher nonsynonymous evolution rate in those regions than the neutral evolution rate. It identifies gene targets under intensive selection pressure that are not detected from the conventional rate comparison analysis. For those identified genes with known annotations, most of them have a clear role in processes such as bacterial defense and host-pathogen interactions. Gene sets reported from our method provide a measure of the phenotypic divergence between two closely related genomes.

Indexed as

Evolution, MolecularGenes, BacterialAmino Acid SequenceAmino Acid SubstitutionDNA Restriction EnzymesGenome, BacterialGenomicsMolecular Sequence DataPeptide HydrolasesSequence AlignmentDNA Restriction EnzymesPeptide Hydrolases

Identifiers

PMID15576679
PMCPMC535660

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.