Evidence map›Paper›PMID 29076560›Full record

ReviewMolecular microbiology2018

An account of evolutionary specialization: the AbcR small RNAs in the Rhizobiales.

Lauren M Sheehan, Clayton C Caswell

Open access · bronzeAbstract readReview
In one paragraph

Review in Molecular microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Uncovering the Hidden Credentials ofMicrobiology and molecular biology reviews : MMBR · 2021
    Review
  5. Article
  6. Review
  7. Review
  8. 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

2 authors at 1 institution in 1 country.

Lauren M SheehanDepartment of Biomedical Sciences and Pathobiology, VA-MD College of Veterinary Medicine, Virginia Tech, Blacksburg, VA, USA.ORCID http://orcid.org/0000-0001-5418-4659
Clayton C CaswellDepartment of Biomedical Sciences and Pathobiology, VA-MD College of Veterinary Medicine, Virginia Tech, Blacksburg, VA, USA.
Virginia–Maryland College of Veterinary Medicine · US

Funding

Characterization of a novel genetic pathway required for Brucella virulenceR15AI117648 · NIAID · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI CASWELL, CLAYTON C · 2015 to 2015
$459k
NIAID NIH HHS R15 AI117648
6 · The paper itself

Abstract

The AbcR small RNAs (sRNAs) are a fascinating example of two highly conserved sRNAs that differ tremendously at the functional level among organisms. From their transcriptional activation to their regulatory capabilities, the AbcR sRNAs exhibit varying characteristics in three well-studied bacteria belonging to the Rhizobiales order: the plant symbiont Sinorhizobium meliloti, the plant pathogen Agrobacterium tumefaciens, and the animal pathogen Brucella abortus. This review outlines the similarities and differences of the AbcR sRNAs between each of these organisms, and discusses reasons as to why this group of sRNAs has diverged in their genetic organization and regulatory functions across species. In the end, this review will shed light on how regulatory systems, although seemingly conserved among bacteria, can vary based on the environmental niche and lifestyle of an organism.

Indexed as

Agrobacterium tumefaciensBiological EvolutionBrucella abortusGene Expression Regulation, BacterialPhylogenyRhizobiaceaeRNA, BacterialRNA, Small UntranslatedRNA, UntranslatedSinorhizobium melilotiRNA, BacterialRNA, Small UntranslatedRNA, Untranslated

Identifiers

PMID29076560
PMCPMC5752129
OpenAlexW2765589935

What OpenQuestion holds

Textmetadata
LicenceTDM
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.