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Operon

Genetics and Genomics · NLM MeSH · updated 2026-10-29 · version 1

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 5 min read

In bacteria, a group of metabolically related genes, with a common promoter, whose transcription into a single polycistronic messenger rna is under the control of an operator region.

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 4 complete abstracts (908 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

In bacteria, a group of metabolically related genes, with a common promoter, whose transcription into a single polycistronic messenger rna is under the control of an operator region.

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: Operons.

Where it fits in the MeSH classification

Broader topics
Genome Components; Genome, Bacterial
Narrower topics
Lac Operon; Operator Regions, Genetic; rRNA Operon

Related concepts

  • Messenger Rna
  • Operator Region

Research landscape

PubMed indexes 26,393 records tagged with the MeSH heading “Operon” (counts retrieved 2026-10-29). 1,450 of them (5.5%) were published from 2020 onward, and the busiest period so far is through 1999 with 12,978 records.

Reviews account for 1,001 records (3.8%) and meta-analyses for 3. Randomized controlled trials number 1 (0.0%) as a share of all records on the topic. Randomized trials make up only a small share of this literature, so much of what is known comes from laboratory, observational or descriptive work.

PubMed records by publication periodthrough 1999: 12,978 records; 2000-2009: 7,496 records; 2010-2019: 4,469 records; 2020 onward: 1,450 records12,978through 19997,4962000-20094,4692010-20191,4502020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 199912,978
2000-20097,496
2010-20194,469
2020 onward1,450
Share of records by publication typeReviews: 3.8 percent; Meta-analyses: 0.0 percent; Randomized controlled trials: 0.0 percentReviews3.8% (1,001)Meta-analyses0.0% (3)Randomized controlled trials0.0% (1)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 26,393 PubMed records
TypeRecordsShare
Reviews1,0013.8%
Meta-analyses30.0%
Randomized controlled trials10.0%

Method: PubMed query "Operon"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-29.

Reading the evidence in genetics and genomics

Genetic findings vary widely in strength. A variant linked to a condition in one study may not replicate in other ancestries, and most common variants have small effects that are meaningful only in aggregate. Studies of rare, high-impact variants can support strong causal claims about a gene, while association studies describe statistical links that need functional and independent replication. Check the sample size, the ancestry of participants, whether results were replicated, and whether a laboratory or clinical outcome was actually measured.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
Nutrient supply controls the linkage between species abundance and ecological interactions in marine bacterial communities
Dai T, Wen D, Bates CT, Wu L, Guo X, Liu S, et al.
2022Research article
Design not recorded in structured metadata
249cc by
PMID 35013303 · DOI · PMC8748817
Pseudomonas aeruginosa zinc uptake in chelating environment is primarily mediated by the metallophore pseudopaline
Lhospice S, Gomez NO, Ouerdane L, Brutesco C, Ghssein G, Hajjar C, et al.
2017Research article
Design not recorded in structured metadata
116cc by
PMID 29214991 · DOI · PMC5719457
Differential Regulation of the Phenazine Biosynthetic Operons by Quorum Sensing in Pseudomonas aeruginosa PAO1-N
Higgins S, Heeb S, Rampioni G, Fletcher MP, Williams P, Cámara M
2018Research article
Design not recorded in structured metadata
99cc by
PMID 30083519 · DOI · PMC6064868
The Panoptes system uses decoy cyclic nucleotides to defend against phage
Sullivan AE, Nabhani A, Izrailevsky DS, Schinkel K, Hoffman CRK, Robbins LK, et al.
2025Research article
Design not recorded in structured metadata
20cc by
PMID 41034579 · DOI · PMC12657218

Nutrient supply controls the linkage between species abundance and ecological interactions in marine bacterial communities [1]

Research article Dai T, Wen D, Bates CT, Wu L, Guo X, Liu S, et al. · · 2022 · cited 249 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Nutrient scarcity is pervasive for natural microbial communities, affecting species reproduction and co-existence.
Closing excerpt
Based on these results, we propose a "hunger games" hypothesis to define microbial species abundance rules using the rrn copy number, ecological interaction, and nutrient availability.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (165 words)

Nutrient scarcity is pervasive for natural microbial communities, affecting species reproduction and co-existence. However, it remains unclear whether there are general rules of how microbial species abundances are shaped by biotic and abiotic factors. Here we show that the ribosomal RNA gene operon (rrn) copy number, a genomic trait related to bacterial growth rate and nutrient demand, decreases from the abundant to the rare biosphere in the nutrient-rich coastal sediment but exhibits the opposite pattern in the nutrient-scarce pelagic zone of the global ocean. Both patterns are underlain by positive correlations between community-level rrn copy number and nutrients. Furthermore, inter-species co-exclusion inferred by negative network associations is observed more in coastal sediment than in ocean water samples. Nutrient manipulation experiments yield effects of nutrient availability on rrn copy numbers and network associations that are consistent with our field observations. Based on these results, we propose a "hunger games" hypothesis to define microbial species abundance rules using the rrn copy number, ecological interaction, and nutrient availability.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 35013303 · DOI · PMC8748817

Pseudomonas aeruginosa zinc uptake in chelating environment is primarily mediated by the metallophore pseudopaline [2]

Research article Lhospice S, Gomez NO, Ouerdane L, Brutesco C, Ghssein G, Hajjar C, et al. · · 2017 · cited 116 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Metal uptake is vital for all living organisms.
Closing excerpt
The pseudopaline system is involved in nickel uptake in poor media, and, most importantly, in zinc uptake in metal scarce conditions mimicking a chelating environment, thus reconciling the regulation of the cnt operon by zinc with its function as the main zinc importer under these metal scarce conditions.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (166 words)

Metal uptake is vital for all living organisms. In metal scarce conditions a common bacterial strategy consists in the biosynthesis of metallophores, their export in the extracellular medium and the recovery of a metal-metallophore complex through dedicated membrane transporters. Staphylopine is a recently described metallophore distantly related to plant nicotianamine that contributes to the broad-spectrum metal uptake capabilities of Staphylococcus aureus. Here we characterize a four-gene operon (PA4837-PA4834) in Pseudomonas aeruginosa involved in the biosynthesis and trafficking of a staphylopine-like metallophore named pseudopaline. Pseudopaline differs from staphylopine with regard to the stereochemistry of its histidine moiety associated with an alpha ketoglutarate moiety instead of pyruvate. In vivo, the pseudopaline operon is regulated by zinc through the Zur repressor. The pseudopaline system is involved in nickel uptake in poor media, and, most importantly, in zinc uptake in metal scarce conditions mimicking a chelating environment, thus reconciling the regulation of the cnt operon by zinc with its function as the main zinc importer under these metal scarce conditions.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 29214991 · DOI · PMC5719457

Differential Regulation of the Phenazine Biosynthetic Operons by Quorum Sensing in Pseudomonas aeruginosa PAO1-N [3]

Research article Higgins S, Heeb S, Rampioni G, Fletcher MP, Williams P, Cámara M · · 2018 · cited 99 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
The Pseudomonas aeruginosa quorum sensing (QS) network plays a key role in the adaptation to environmental changes and the control of virulence factor production in this opportunistic human pathogen.
Closing excerpt
aeruginosa and the challenges in analysing the control of phenazine secondary metabolites.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (348 words)

The Pseudomonas aeruginosa quorum sensing (QS) network plays a key role in the adaptation to environmental changes and the control of virulence factor production in this opportunistic human pathogen. Three interlinked QS systems, namely las, rhl, and pqs, are central to the production of pyocyanin, a phenazine virulence factor which is typically used as phenotypic marker for analysing QS. Pyocyanin production in P. aeruginosa is a complex process involving two almost identical operons termed phzA1B1C1D1E1F1G1 (phz1) and phzA2B2C2D2E2F2G2 (phz2), which drive the production of phenazine-1-carboxylic acid (PCA) which is further converted to pyocyanin by two modifying enzymes PhzM and PhzS. Due to the high sequence conservation between the phz1 and phz2 operons (nucleotide identity > 98%), analysis of their individual expression by RNA hybridization, qRT-PCR or transcriptomics is challenging. To overcome this difficulty, we utilized luminescence based promoter fusions of each phenazine operon to measure in planktonic cultures their transcriptional activity in P. aeruginosa PAO1-N genetic backgrounds impaired in different components of the las, rhl, and pqs QS systems, in the presence or absence of different QS signal molecules. Using this approach, we found that all three QS systems play a role in differentially regulating the phz1 and phz2 phenazine operons, thus uncovering a higher level of complexity to the QS regulation of PCA biosynthesis in P. aeruginosa than previously appreciated.ImportanceThe way the P. aeruginosa QS regulatory networks are intertwined creates a challenge when analysing the mechanisms governing specific QS-regulated traits. Multiple QS regulators and signals have been associated with the production of phenazine virulence factors. In this work we designed experiments where we dissected the contribution of specific QS switches using individual mutations and complementation strategies to gain further understanding of the specific roles of these QS elements in controlling expression of the two P. aeruginosa phenazine operons. Using this approach we have teased out which QS regulators have either indirect or direct effects on the regulation of the two phenazine biosynthetic operons. The data obtained highlight the sophistication of the QS cascade in P. aeruginosa and the challenges in analysing the control of phenazine secondary metabolites.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 30083519 · DOI · PMC6064868

The Panoptes system uses decoy cyclic nucleotides to defend against phage [4]

Research article Sullivan AE, Nabhani A, Izrailevsky DS, Schinkel K, Hoffman CRK, Robbins LK, et al. · · 2025 · cited 20 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Bacteria combat phage infection using antiphage systems and many systems generate nucleotide-derived second messengers upon infection that activate effector proteins to mediate immunity1.
Closing excerpt
These data demonstrate a sophisticated immune strategy that bacteria use to guard their second-messenger pool and turn immune evasion against the virus.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (229 words)

Bacteria combat phage infection using antiphage systems and many systems generate nucleotide-derived second messengers upon infection that activate effector proteins to mediate immunity1. Phages respond with counter-defences that deplete these second messengers, leading to an escalating arms race with the host. Here we outline an antiphage system we call Panoptes that indirectly detects phage infection when phage proteins antagonize the nucleotide-derived second-messenger pool. Panoptes is a two-gene operon, optSE, wherein OptS is predicted to synthesize a nucleotide-derived second messenger and OptE is predicted to bind that signal and drive effector-mediated defence. Crystal structures show that OptS is a minimal CRISPR polymerase (mCpol) domain, a version of the polymerase domain found in type III CRISPR systems (Cas10). OptS orthologues from two distinct Panoptes systems generated cyclic dinucleotide products, including 2',3'-cyclic diadenosine monophosphate (2',3'-c-di-AMP), which we showed were able to bind the soluble domain of the OptE transmembrane effector. Panoptes potently restricted phage replication, but phages that had loss-of-function mutations in anti-cyclic oligonucleotide-based antiphage signalling system (CBASS) protein 2 (Acb2) escaped defence. These findings were unexpected because Acb2 is a nucleotide 'sponge' that antagonizes second-messenger signalling. Our data support the idea that cyclic nucleotide sequestration by Acb2 releases OptE toxicity, thereby initiating inner membrane disruption, leading to phage defence. These data demonstrate a sophisticated immune strategy that bacteria use to guard their second-messenger pool and turn immune evasion against the virus.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41034579 · DOI · PMC12657218

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article Regulatory sequences involved in the promotion and termination of RNA transcription [5]
    Rosenberg M, Court D · Annu Rev Genet · 1979 · cited 2,236 times (Europe PMC)
  • Research article Compilation and analysis of Escherichia coli promoter DNA sequences [6]
    Hawley DK, McClure WR · Nucleic Acids Res · 1983 · cited 1,808 times (Europe PMC)
  • Research article Protein-DNA recognition [7]
    Pabo CO, Sauer RT · Annu Rev Biochem · 1984 · cited 1,198 times (Europe PMC)
  • Research article Facilitated target location in biological systems [8]
    von Hippel PH, Berg OG · J Biol Chem · 1989 · cited 729 times (Europe PMC)
  • Research article E. coli RNA polymerase interacts homologously with two different promoters [9]
    Siebenlist U, Simpson RB, Gilbert W · Cell · 1980 · cited 717 times (Europe PMC)
  • Research article Attenuation in the control of expression of bacterial operons [10]
    Yanofsky C · Nature · 1981 · cited 577 times (Europe PMC)

References

  1. Dai T, Wen D, Bates CT, Wu L, Guo X, Liu S, et al.. Nutrient supply controls the linkage between species abundance and ecological interactions in marine bacterial communities. . 2022. PMID 35013303 · DOI · PMC8748817
  2. Lhospice S, Gomez NO, Ouerdane L, Brutesco C, Ghssein G, Hajjar C, et al.. Pseudomonas aeruginosa zinc uptake in chelating environment is primarily mediated by the metallophore pseudopaline. . 2017. PMID 29214991 · DOI · PMC5719457
  3. Higgins S, Heeb S, Rampioni G, Fletcher MP, Williams P, Cámara M. Differential Regulation of the Phenazine Biosynthetic Operons by Quorum Sensing in Pseudomonas aeruginosa PAO1-N. . 2018. PMID 30083519 · DOI · PMC6064868
  4. Sullivan AE, Nabhani A, Izrailevsky DS, Schinkel K, Hoffman CRK, Robbins LK, et al.. The Panoptes system uses decoy cyclic nucleotides to defend against phage. . 2025. PMID 41034579 · DOI · PMC12657218
  5. Rosenberg M, Court D. Regulatory sequences involved in the promotion and termination of RNA transcription. Annu Rev Genet. 1979. PMID 94251 · DOI
  6. Hawley DK, McClure WR. Compilation and analysis of Escherichia coli promoter DNA sequences. Nucleic Acids Res. 1983. PMID 6344016 · DOI · PMC325881
  7. Pabo CO, Sauer RT. Protein-DNA recognition. Annu Rev Biochem. 1984. PMID 6236744 · DOI
  8. von Hippel PH, Berg OG. Facilitated target location in biological systems. J Biol Chem. 1989. PMID 2642903 · DOI
  9. Siebenlist U, Simpson RB, Gilbert W. E. coli RNA polymerase interacts homologously with two different promoters. Cell. 1980. PMID 6248238 · DOI
  10. Yanofsky C. Attenuation in the control of expression of bacterial operons. Nature. 1981. PMID 7007895 · DOI

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-10-29.

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Related research topics

  • ExonsGenetics and Genomics
  • RegulonGenetics and Genomics
  • Untranslated RegionsGenetics and Genomics
  • 3' Untranslated RegionsGenetics and Genomics
  • IntronsGenetics and Genomics
  • Transcription Initiation SiteGenetics and Genomics

All 95 articles in Genetics and Genomics →

At a glance

26,393
PubMed records on this heading
5%
published since 2020
1,001
review articles
1
randomized trials
10
verified references below

Counts come from PubMed on 2026-10-29; they show how much has been written, not how strong the evidence is.

Related topics See all →

  • ExonsGenetics and Genomics
  • RegulonGenetics and Genomics
  • Untranslated RegionsGenetics and Genomics
  • 3' Untranslated RegionsGenetics and Genomics
  • IntronsGenetics and Genomics

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