Evidence map›Paper›PMID 27702904›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Theory of prokaryotic genome evolution.

Itamar Sela, Yuri I Wolf, Eugene V Koonin

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed
7.1field-weighted citation impact, top 2% 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

86 citing papers in PubMed, 179 citations in OpenAlex.

  1. Article
  2. Article
  3. Why did some viruses evolve to be giants while others did not?Proceedings of the National Academy of Sciences of the United States of America · 2026
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  4. A generative model for bipartite gene-sharing networks.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Article
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  7. The heterogeneous selection landscape of genome evolution in prokaryotes.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  8. Article
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  18. Applying the Classic Test dN/dS to Detect Selection in Archaea.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  19. Article
  20. Article

26 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 1 country.

Itamar SelaNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894.
Yuri I WolfNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894.
Eugene V KooninNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894 koonin@ncbi.nlm.nih.gov.
National Center for Biotechnology Information · USNational Institutes of Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacteria and archaea typically possess small genomes that are tightly packed with protein-coding genes. The compactness of prokaryotic genomes is commonly perceived as evidence of adaptive genome streamlining caused by strong purifying selection in large microbial populations. In such populations, even the small cost incurred by nonfunctional DNA because of extra energy and time expenditure is thought to be sufficient for this extra genetic material to be eliminated by selection. However, contrary to the predictions of this model, there exists a consistent, positive correlation between the strength of selection at the protein sequence level, measured as the ratio of nonsynonymous to synonymous substitution rates, and microbial genome size. Here, by fitting the genome size distributions in multiple groups of prokaryotes to predictions of mathematical models of population evolution, we show that only models in which acquisition of additional genes is, on average, slightly beneficial yield a good fit to genomic data. These results suggest that the number of genes in prokaryotic genomes reflects the equilibrium between the benefit of additional genes that diminishes as the genome grows and deletion bias (i.e., the rate of deletion of genetic material being slightly greater than the rate of acquisition). Thus, new genes acquired by microbial genomes, on average, appear to be adaptive. The tight spacing of protein-coding genes likely results from a combination of the deletion bias and purifying selection that efficiently eliminates nonfunctional, noncoding sequences.

Indexed as

Evolution, MolecularGenomeArchaeaBacteriaGenome SizeLikelihood FunctionsModels, GeneticProkaryotic CellsProteinsSelection, GeneticProteinsdeletion biasevolutionary genomicsgenome streamliningpositive selectionprokaryotic genome size

Identifiers

PMID27702904
PMCPMC5068321
OpenAlexW2529635913

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.