Evidence map›Paper›PMID 15965610›Full record

ArticleVirus genes2005

Loss of linkage disequilibrium and accelerated protein divergence in duplicated cytomegalovirus chemokine genes.

Ravit Arav-Boger, Jian-Chao Zong, Charles B Foster

Abstract read
PubMed Publisher
In one paragraph

Article in Virus genes, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Evolution of the ability to modulate host chemokine networks via gene duplication in human cytomegalovirus (HCMV).Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2017
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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.

Ravit Arav-BogerDepartment of Pediatrics, Division of Infectious Diseases, Johns Hopkins Hospital, Baltimore, Maryland 21287-4933, USA. boger@jhmi.edu
Jian-Chao Zong
Charles B Foster

Funding

NCI NIH HHS R01 CA24576
6 · The paper itself

Abstract

Human CMV (hCMV) encodes several captured chemokine ligand and chemokine receptor genes that may play a role in immune evasion. The adjacent viral alpha-chemokine genes UL146 and UL147 appear to have duplicated subsequent to a recent gene capture event. Sequence data from multiple hCMV isolates suggest accelerated protein evolution in one of the paralogues, UL146. Extensive sequence variation was noted throughout the more rapidly evolving paralogue, although significant variation was also observed within the more slowly evolving gene, especially within a region corresponding to a possible signal peptide. In contrast to the haplotype structure observed for other hCMV genes, the distribution of nucleotide variants indicates a marked loss of linkage disequilibrium within UL146 and to a lesser extent UL147. Despite evidence of accelerated protein evolution, the rate of nonsynonymous to synonymous substitutions (d(N)/d(S)) in the more rapidly evolving paralogue was not indicative of neutral evolution, but of moderate purifying selection. The data presented here provides a unique opportunity to study the mechanisms by which a recently duplicated pair of genes has diverged and suggests a role for recombination.

Indexed as

Evolution, MolecularGene DuplicationLinkage DisequilibriumAnimalsChemokinesCytomegalovirusCytomegalovirus InfectionsGenetic VariationHumansMolecular Sequence DataPhylogenyViral ProteinsChemokinesViral Proteins

Identifiers

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.