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Record W3037534074 · doi:10.1101/2020.06.26.174680

<i>Pseudomonas aeruginosa</i> uses c-di-GMP phosphodiesterases RmcA and MorA to regulate biofilm maintenance

2020· preprint· en· W3037534074 on OpenAlexaff
Stefan Katharios, Gregory B. Whitfield, P. Lynne Howell, George A. O’Toole

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2020
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacterial biofilms and quorum sensing
Canadian institutionsUniversité de MontréalHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsBiofilmPseudomonas aeruginosaMutantBiologyMicrobiologyQuorum sensingPhosphodiesteraseGeneEnzymeBiochemistryGeneticsBacteria

Abstract

fetched live from OpenAlex

Abstract While the early stages of biofilm formation have been well characterized, less is known about the requirements for Pseudomonas aeruginosa to maintain a mature biofilm. We utilized a P. aeruginosa -phage interaction to find that rmcA and morA , two genes which encode for c-di-GMP-degrading phosphodiesterase (PDEs) enzymes, are important for the regulation of biofilm maintenance. Deletion of these genes initially results in an elevated biofilm phenotype characterized by increased production of c-di-GMP, Pel polysaccharide and biofilm biomass. In contrast to the wild-type strain, these mutants were unable to maintain the biofilm when exposed to carbon-limited conditions. The susceptibility to nutrient limitation, and subsequent loss of biofilm viability of these mutants, was phenotypically reproduced with a stringent response mutant (Δ relA Δ spoT ), indicating that the Δ rmcA and Δ morA mutants may be unable to appropriately respond to nutrient limitation. Genetic and biochemical data indicate that RmcA and MorA physically interact with the Pel biosynthesis machinery, supporting a model whereby unregulated Pel biosynthesis contributes to the death of the Δ rmcA and Δ morA mutant strains in an established biofilm when nutrient-limited. These findings provide evidence that c-di-GMP-mediated regulation is required for mature biofilms of P. aeruginosa to effectively respond to changing availability of nutrients. Furthermore, the PDEs involved in biofilm maintenance are distinct from those required for establishing a biofilm, thus indicating that a wide variety of c-di-GMP metabolizing enzymes in organisms like P. aeruginosa likely allows for discrete control over the formation, maintenance or dispersion of biofilms. Importance Recent advances in our understanding of c-di-GMP signaling have provided key insights into the regulation of biofilms. Despite an improved understanding of how they initially form, the processes that facilitate the long-term maintenance of these multicellular communities remain opaque. We found that P. aeruginosa requires two phosphodiesterases, RmcA and MorA, to maintain a mature biofilm and that P. aeruginosa biofilms lacking these PDEs succumb to nutrient limitation and die. The biofilm maintenance deficiency observed in Δ rmcA and Δ morA mutants was also found in the stringent response defective Δ relA Δ spoT strain, suggesting that a regulatory intersection between c-di-GMP signaling, EPS biosynthesis and the nutrient limitation response is important for persistent surface growth. We uncover components of an important regulatory system needed for P. aeruginosa to persist in nutrient-poor conditions, and provide some of the first evidence that maintaining a mature biofilm is an active process.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.211
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2020
Admission routes1
Has abstractyes

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