Evidence map›Paper›PMID 23941262›Full record

ReviewCellular microbiology2013

Antigenic variation and transmission fitness as drivers of bacterial strain structure.

Guy H Palmer, Kelly A Brayton

Abstract readReview
In one paragraph

Review in Cellular microbiology, 2013. 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. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Antigenic Variation in Bacterial Pathogens.Microbiology spectrum · 2016
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
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

2 authors.

Guy H PalmerPaul G. Allen School for Global Animal Health, Department of Veterinary Microbiology and Pathology, Washington State University, Pullman, WA, 99164-7090, USA.
Kelly A Brayton

Funding

Antigenic variation in microbial transmissionR37AI044005 · NIAID · WASHINGTON STATE UNIVERSITY · PI PALMER, GUY HUGHES · 2009 to 2018
$3.3M
NIAID NIH HHS R37 AI044005Wellcome TrustWellcome Trust GM075800M
6 · The paper itself

Abstract

Shifts in microbial strain structure underlie both emergence of new pathogens and shifts in patterns of infection and disease of known agents. Understanding the selective pressures at a population level as well as the mechanisms at the molecular level represent significant gaps in our knowledge regarding microbial epidemiology. Highly antigenically variant pathogens, which are broadly represented among microbial taxa, are most commonly viewed through the mechanistic lens of how they evade immune clearance within the host. However, equally important are mechanisms that allow pathogens to evade immunity at the population level. The selective pressure of immunity at both the level of the individual host and the population is a driver of diversification within a pathogen strain. Using Anaplasma marginale as a model highly antigenically variable bacterial pathogen, we review how immunity selects for genetic diversification in alleles encoding outer membrane proteins both within and among strains. Importantly, genomic comparisons among strains isolated from diverse epidemiological settings elucidates the counterbalancing pressures for diversification and conservation, driven by immune escape and transmission fitness, respectively, and how these shape pathogen strain structure.

Indexed as

Anaplasma marginaleAnaplasmosisAnimalsAntigenic VariationAntigens, BacterialBacteremiaBacterial Outer Membrane ProteinsGenetic VariationImmune EvasionSelection, GeneticAntigens, BacterialBacterial Outer Membrane Proteins

Identifiers

PMID23941262
PMCPMC3836861

What OpenQuestion holds

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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.