Evidence map›Paper›PMID 16155748›Full record

ArticleJournal of molecular evolution2005

Enhanced synonymous site divergence in positively selected vertebrate antimicrobial peptide genes.

Jacob A Tennessen

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Article in Journal of molecular evolution, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. The Diverse Piscidin Repertoire of the European Sea Bass (International journal of molecular sciences · 2020
    Article
  4. Article
  5. Article
  6. Review
  7. Antimicrobial peptides from fish.Pharmaceuticals (Basel, Switzerland) · 2014
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

1 author.

Jacob A TennessenDepartment of Zoology, Oregon State University, Corvallis, OR 97331, USA. tennessj@science.oregonstate.edu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nonrandom patterns associated with adaptively evolving genes can shed light on how selection and mutation produce rapid changes in sequences. I examine such patterns in two independent families of antimicrobial peptide genes: those in frogs, which are known to have evolved under positive selection, and those in flatfishes, which I show have also evolved under positive selection. I address two recently proposed hypotheses about the molecular evolution of antimicrobial peptide genes. The first is that the mature peptide region is replicated by an error-prone polymerase that increases the mutation rate and the transversion/transition ratio compared to the signal sequence of the same genes. The second is that mature peptides evolve in a coordinated fashion with their propieces, such that a change in net charge in one molecular region prompts an opposite change in charge in the other region. I test these hypotheses using alternative methods that minimize alignment errors, correct for phylogenetic nonindependence, reduce sequence saturation, and account for differing selection pressures on different regions of the gene. In both gene families I show that divergence at both synonymous and nonsynonymous sites within the mature peptide region is enhanced. However, in neither gene family is there evidence of an increased mutational transversion/transition ratio or coordinated evolution. My observations are consistent with either an elevated mutation rate in an adaptively evolving gene region or widespread selection on "silent" sites. These hypotheses challenge the assumption that mutations are random and can be measured by the synonymous substitution rate.

Indexed as

Evolution, MolecularAmino Acid SequenceAmino Acid SubstitutionAnimalsAntimicrobial Cationic PeptidesAnuraFish ProteinsIntronsModels, GeneticMolecular Sequence DataMutationPhylogenySequence AlignmentSequence Analysis, ProteinVertebratesAntimicrobial Cationic PeptidesFish Proteinspleurocidin

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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.