Evidence map›Paper›PMID 18253686›Full record

ArticleJournal of molecular evolution2008

Rapid evolution by positive selection and gene gain and loss: PLA(2) venom genes in closely related Sistrurus rattlesnakes with divergent diets.

H Lisle Gibbs, Wayne Rossiter

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Article in Journal of molecular evolution, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
7.2field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 118 citations in OpenAlex.

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  9. Coming of age in venom research.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  10. Review
  11. Gene Family Expansion during the Adaptation ofJournal of fungi (Basel, Switzerland) · 2023
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

H Lisle GibbsDepartment of Evolution, Ecology and Organismal Biology, Ohio State University, 318 West 12th Avenue, Columbus, OH 43210-1293, USA. gibbs.128@osu.edu
Wayne Rossiter
The Ohio State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid evolution of snake venom genes by positive selection has been reported previously but key features of this process such as the targets of selection, rates of gene turnover, and functional diversity of toxins generated remain unclear. This is especially true for closely related species with divergent diets. We describe the evolution of PLA(2) gene sequences isolated from genomic DNA from four taxa of Sistrurus rattlesnakes which feed on different prey. We identified four to seven distinct PLA(2 )sequences in each taxon and phylogenetic analyses suggest that these sequences represent a rapidly evolving gene family consisting of both paralogous and homologous loci with high rates of gene gain and loss. Strong positive selection was implicated as a driving force in the evolution of these protein coding sequences. Exons coding for amino acids that make up mature proteins have levels of variation two to three times greater than those of the surrounding noncoding intronic sequences. Maximum likelihood models of coding sequence evolution reveal that a high proportion (approximately 30%) of all codons in the mature protein fall into a class of codons with an estimated d(N)/d(S) (omega) ratio of at least 2.8. An analysis of selection on individual codons identified nine residues as being under strong (p < 0.01) positive selection, with a disproportionately high proportion of these residues found in two functional regions of the PLA(2) protein (surface residues and putative anticoagulant region). This is direct evidence that diversifying selection has led to high levels of functional diversity due to structural differences in proteins among these snakes. Overall, our results demonstrate that both gene gain and loss and protein sequence evolution via positive selection are important evolutionary forces driving adaptive divergence in venom proteins in closely related species of venomous snakes.

Indexed as

Evolution, MolecularSelection, GeneticAmino Acid SequenceAmino Acid SubstitutionAnimalsCrotalid VenomsCrotalusDietModels, MolecularMolecular Sequence DataMultigene FamilyPhospholipases A2PhylogenyProtein ConformationSequence AlignmentCrotalid VenomsPhospholipases A2

Identifiers

PMID18253686
OpenAlexW1997134951

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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.