Evidence map›Paper›PMID 27834945›Full record

ArticleThe ISME journal2017

Assessment of the bimodality in the distribution of bacterial genome sizes.

Hyun S Gweon, Mark J Bailey, Daniel S Read

Abstract read
In one paragraph

Article in The ISME journal, 2017. 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
–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

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.

  1. Article
  2. Review
  3. Article
  4. Pangenome ofMicrobial genomics · 2019
    Article
  5. Genome Sequencing ofFrontiers in microbiology · 2019
    Article
  6. 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

3 authors.

Hyun S GweonCentre for Ecology & Hydrology, Wallingford, UK.ORCID 0000-0002-6218-6301
Mark J BaileyCentre for Ecology & Hydrology, Wallingford, UK.
Daniel S ReadCentre for Ecology & Hydrology, Wallingford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial genome sizes have previously been shown to exhibit a bimodal distribution. This phenomenon has prompted discussion regarding the evolutionary forces driving genome size in bacteria and its ecological significance. We investigated the level of inherent redundancy in the public database and the effect it has on the shape of the apparent bimodal distribution. Our study reveals that there is a significant bias in the genome sequencing efforts towards a certain group of species, and that correcting the bias using species nomenclature and clustering of the 16S rRNA gene, results in a unimodal rather than the previously published bimodal distribution. The true genome size distribution and its wider ecological implications will soon emerge as we are currently witnessing rapid growth in the number of sequenced genomes from diverse environmental niches across a range of habitats at an unprecedented rate.

Indexed as

Genome, BacterialGenome SizeBacteriaBase SequenceBiological EvolutionEcosystemGene Expression Regulation, BacterialRNA, BacterialRNA, Ribosomal, 16SRNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID27834945
PMCPMC5322294

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.