Evidence map›Paper›PMID 28985292›Full record

ArticleGenome biology and evolution2017

Extreme Deviations from Expected Evolutionary Rates in Archaeal Protein Families.

Celine Petitjean, Kira S Makarova, Yuri I Wolf, Eugene V Koonin

Open access · goldAbstract read
In one paragraph

Article in Genome biology and evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. On the nature and types of anomalies: a review of deviations in data.International journal of data science and analytics · 2021
    Review
  4. Article
  5. An evolving view of methane metabolism in the Archaea.Nature reviews. Microbiology · 2019
    Review
  6. Article
  7. 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

4 authors at 2 institutions in 1 country.

Celine PetitjeanNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland.
Kira S MakarovaNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland.
Yuri I WolfNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland.
Eugene V KooninNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland.
National Institutes of Health · USNational Center for Biotechnology Information · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Origin of new biological functions is a complex phenomenon ranging from single-nucleotide substitutions to the gain of new genes via horizontal gene transfer or duplication. Neofunctionalization and subfunctionalization of proteins is often attributed to the emergence of paralogs that are subject to relaxed purifying selection or positive selection and thus evolve at accelerated rates. Such phenomena potentially could be detected as anomalies in the phylogenies of the respective gene families. We developed a computational pipeline to search for such anomalies in 1,834 orthologous clusters of archaeal genes, focusing on lineage-specific subfamilies that significantly deviate from the expected rate of evolution. Multiple potential cases of neofunctionalization and subfunctionalization were identified, including some ancient, house-keeping gene families, such as ribosomal protein S10, general transcription factor TFIIB and chaperone Hsp20. As expected, many cases of apparent acceleration of evolution are associated with lineage-specific gene duplication. On other occasions, long branches in phylogenetic trees correspond to horizontal gene transfer across long evolutionary distances. Significant deceleration of evolution is less common than acceleration, and the underlying causes are not well understood; functional shifts accompanied by increased constraints could be involved. Many gene families appear to be "highly evolvable," that is, include both long and short branches. Even in the absence of precise functional predictions, this approach allows one to select targets for experimentation in search of new biology.

Indexed as

Evolution, MolecularPhylogenyArchaeaArchaeal ProteinsCluster AnalysisComputational BiologyGene DuplicationGenes, ArchaealGenes, EssentialGenetic SpeciationGenetic VariationGenome, ArchaealModels, GeneticArchaeal Proteinsarchaeaclade-specific acceleration of evolutionevolutionary rateneofunctionalizationsubfunctionalizationtree anomalies

Identifiers

PMID28985292
PMCPMC5737733
OpenAlexW2755695933

What OpenQuestion holds

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Read underepoch 390

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.