Evidence map›Paper›PMID 22954210›Full record

ArticleAnnals of the New York Academy of Sciences2012

Genome hyperevolution and the success of a parasite.

J David Barry, James P J Hall, Lindsey Plenderleith

Open access · bronzeAbstract read
In one paragraph

Article in Annals of the New York Academy of Sciences, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.7field-weighted citation impact, top 7% of its field
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

5 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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 at 1 institution in 1 country.

J David BarryWellcome Trust Centre for Molecular Parasitology, Institute of Infection, Immunity and Inflammation, College of Medical, Veterinary, & Life Sciences, University of Glasgow, Glasgow, United Kingdom. dave.barry@glasgow.ac.uk
James P J Hall
Lindsey Plenderleith
Wellcome Centre for Molecular Parasitology · GB

Funding

Wellcome Trust 055558Wellcome Trust 083224Wellcome Trust 085349Wellcome Trust 086415
6 · The paper itself

Abstract

The strategy of antigenic variation is to present a constantly changing population phenotype that enhances parasite transmission, through evasion of immunity arising within, or existing between, host animals. Trypanosome antigenic variation occurs through spontaneous switching among members of a silent archive of many hundreds of variant surface glycoprotein (VSG) antigen genes. As with such contingency systems in other pathogens, switching appears to be triggered through inherently unstable DNA sequences. The archive occupies subtelomeres, a genome partition that promotes hypermutagenesis and, through telomere position effects, singular expression of VSG. Trypanosome antigenic variation is augmented greatly by the formation of mosaic genes from segments of pseudo-VSG, an example of implicit genetic information. Hypermutation occurs apparently evenly across the whole archive, without direct selection on individual VSG, demonstrating second-order selection of the underlying mechanisms. Coordination of antigenic variation, and thereby transmission, occurs through networking of trypanosome traits expressed at different scales from molecules to host populations.

Indexed as

Evolution, MolecularGenome, ProtozoanAnimalsBase SequenceChromosomesDNA, ProtozoanGenetic VariationHost-Parasite InteractionsHumansImmune EvasionTrypanosomaTrypanosomiasisVariant Surface Glycoproteins, TrypanosomaDNA, ProtozoanVariant Surface Glycoproteins, Trypanosoma

Identifiers

PMID22954210
PMCPMC3467770
OpenAlexW1830686526

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.