Evidence map›Paper›PMID 19662496›Full record

ReviewCellular and molecular life sciences : CMLS2009

Operons.

Anne E Osbourn, Ben Field

Open access · hybridAbstract readReview
In one paragraph

Review in Cellular and molecular life sciences : CMLS, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed
11.8field-weighted citation impact, top 1% 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

96 citing papers in PubMed, 215 citations in OpenAlex.

  1. Article
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  3. Review
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  7. Article
  8. Review
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  12. Article
  13. Review
  14. Article
  15. Article
  16. Adaptation of a fluoroquinolone-sensitiveRoyal Society open science · 2024
    Article
  17. Article
  18. Phylogenomics of the psychoactive mushroom genusProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  19. Article
  20. Article

36 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

2 authors at 1 institution in 1 country.

Anne E OsbournDepartment of Metabolic Biology, John Innes Centre, Colney Lane, Norwich NR4 7UH, UK. anne.osbourn@bbsrc.ac.uk
Ben Field
John Innes Centre · GB

Funding

Biotechnology and Biological Sciences Research Council BBS/E/J/00000614
6 · The paper itself

Abstract

Operons (clusters of co-regulated genes with related functions) are common features of bacterial genomes. More recently, functional gene clustering has been reported in eukaryotes, from yeasts to filamentous fungi, plants, and animals. Gene clusters can consist of paralogous genes that have most likely arisen by gene duplication. However, there are now many examples of eukaryotic gene clusters that contain functionally related but non-homologous genes and that represent functional gene organizations with operon-like features (physical clustering and co-regulation). These include gene clusters for use of different carbon and nitrogen sources in yeasts, for production of antibiotics, toxins, and virulence determinants in filamentous fungi, for production of defense compounds in plants, and for innate and adaptive immunity in animals (the major histocompatibility locus). The aim of this article is to review features of functional gene clusters in prokaryotes and eukaryotes and the significance of clustering for effective function.

Indexed as

AnimalsEukaryotaFungiGenomeModels, GeneticMultigene FamilyOperonPlants

Identifiers

PMID19662496
PMCPMC2776167
OpenAlexW3189516953

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.