Evidence map›Paper›PMID 23989891›Full record

ArticleImmunogenetics2013

Differential modes of MHC class IIB gene evolution in cichlid fishes.

Pascal I Hablützel, Filip A M Volckaert, Bart Hellemans, Joost A M Raeymaekers

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Article in Immunogenetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

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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

4 authors at 2 institutions in 3 countries.

Pascal I HablützelLaboratory of Biodiversity and Evolutionary Genomics, University of Leuven, Ch. Deberiotstraat, 32, B-3000, Leuven, Belgium, pascal.habluetzel@bio.kuleuven.be.
Filip A M Volckaert
Bart Hellemans
Joost A M Raeymaekers
Evolutionary Genomics (United States) · USKU Leuven · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cichlid fishes are emblematic models for the study of adaptive radiation, driven by natural and sexual selection. Parasite mediated selection is an important component in these processes, and the evolution of their immune system therefore merits special attention. In this study, light is shed on the phylogeny of the b family of cichlid major histocompatibility complex (MHC) class IIB genes. Full-length coding sequences were used to reconstruct phylogenies using criteria of maximum parsimony, maximum likelihood and Bayesian inference. All analyses suggest monophyly of the b family of cichlid MHC class IIB genes, although sequences of the cichlid sister taxa are currently not available. Two evolutionary lineages of these genes, respectively encompassing the recently defined genomic regions DBB-DEB-DFB and DCB-DDB, show highly contrasting levels of differentiation. To explore putative causes for these differences, exon 2 sequences were screened for variation in recombination rate and strength of selection. The more diversified lineage of cichlid MHC class IIB b genes was found to have higher levels of both recombination and selection. This is consistent with the observation in other taxa that recombination facilitates the horizontal spread of positively selected sites across MHC loci and hence contributes to fast sequence evolution. In contrast, the lineage that showed low diversification might either be under stabilizing selection or is evolutionary constrained by its low recombination rate. We speculate whether this lineage might include MHC genes with non-classical functions.

Indexed as

Evolution, MolecularGenes, MHC Class IISelection, GeneticAnimalsBayes TheoremCichlidsGene DuplicationGenomePhylogenyRecombination, Genetic

Identifiers

PMID23989891
OpenAlexW1995478570

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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.