Evidence map›Paper›PMID 22446745›Full record

ArticleMolecular biology and evolution2012

Large variations in bacterial ribosomal RNA genes.

Kyungtaek Lim, Yoshikazu Furuta, Ichizo Kobayashi

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
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  9. Simplification of Ribosomes in Bacteria with Tiny Genomes.Molecular biology and evolution · 2021
    Article
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  11. Antimicrobial susceptibility and genetic profile of Mycoplasma hyopneumoniae isolates from Brazil.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2020
    Article
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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.

Kyungtaek LimDepartment of Medical Genome Sciences, Graduate School of Frontier Sciences, University of Tokyo, Minato-ku, Tokyo, Japan.
Yoshikazu Furuta
Ichizo Kobayashi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ribosomal RNA (rRNA) genes, essential to all forms of life, have been viewed as highly conserved and evolutionarily stable, partly because very little is known about their natural variations. Here, we explored large-scale variations of rRNA genes through bioinformatic analyses of available complete bacterial genomic sequences with an emphasis on formation mechanisms and biological significance. Interestingly, we found bacterial genomes in which no 16S rRNA genes harbor the conserved core of the anti-Shine-Dalgarno sequence (5'-CCTCC-3'). This loss was accompanied by elimination of Shine-Dalgarno-like sequences upstream of their protein-coding genes. Those genomes belong to 1 or 2 of the following categories: primary symbionts, hemotropic Mycoplasma, and Flavobacteria. We also found many rearranged rRNA genes and reconstructed their history. Conjecturing the underlying mechanisms, such as inversion, partial duplication, transposon insertion, deletion, and substitution, we were able to infer their biological significance, such as co-orientation of rRNA transcription and chromosomal replication, lateral transfer of rRNA gene segments, and spread of rRNA genes with an apparent structural defect through gene conversion. These results open the way to understanding dynamic evolutionary changes of rRNA genes and the translational machinery.

Indexed as

Genetic VariationBacteriaBase SequenceDNA Transposable ElementsGene DuplicationGene RearrangementGenes, BacterialGenes, rRNAMolecular Sequence DataMutagenesis, InsertionalPlasmidsRNA, Ribosomal, 16SDNA Transposable ElementsRNA, Ribosomal, 16S

Identifiers

PMID22446745
PMCPMC3457768

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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.