Temperature-responsive control of <i>Pseudomonas aeruginosa</i> virulence determinants through the stabilization of quorum sensing transcriptional regulator RhlR
Notice bibliographique
Résumé
Abstract The versatile bacterium Pseudomonas aeruginosa thrives in diverse environments and is notably recognized for its role as an opportunistic pathogen. In line with its adaptability, P. aeruginosa produces various exoproducts crucial for survival and virulence, several of which regulated through quorum sensing (QS). These factors are also regulated in response to environmental cues, such as temperature changes. As a pathogen, P. aeruginosa is generally thought to activate its virulence factors at temperatures akin to warm-blooded hosts rather than environmental temperatures. Recent studies elucidated the functional structure of the QS transcriptional regulator RhlR, which depends on the stabilizing effects of its cognate autoinducing ligand, N -butanoyl-L-homoserine lactone (C 4 -HSL), and of the moonlighting chaperone PqsE. Given the influence of temperature on biomolecular dynamics, we investigated how it affects RhlR activity using the RhlR-regulated phzA1 promoter as a proxy. Unexpectedly, we found that RhlR activity is higher at 25°C than at 37°C. This temperature-dependent regulation likely stems from altered RhlR turnover, with the presence of PqsE extending RhlR activity tenfold from its basal level at 37°C to that observed at 25°C. This lower, environmental-like temperature promotes increased affinity between RhlR and C 4 -HSL, a trait significantly compromised in the absence of PqsE. These results suggest that this response depends on the structural integrity of the complex, indicating that temperature functions as an additional regulating and stabilizing factor of RhlR function. Accordingly, lower growth temperature fails to increase the activity of a structurally stabilized version of RhlR. The thermoregulation aspect of RhlR activity and signalling impacts the virulence profile of a mutant unable to produce C 4 -HSL, underscoring its significance in bacterial behaviours and potentially conferring an evolutionary advantage. Author Summary Pseudomonas aeruginosa is recognized for its capacity to colonize vastly different environments, thereby encountering a range of temperatures. The bacterium’s ability to adapt to these settings necessitates finely regulated gene expression. Within this regulatory framework lies quorum sensing (QS), the intercellular communication system used by P. aeruginosa to orchestrate the expression of genes responsible for producing diverse exoproducts, including the blue phenazine pyocyanin. RhlR primarily governs the expression of genes required for pyocyanin production, including the phz1 operon. Unlike other QS regulators, RhlR possesses a distinctive characteristic – in addition to its cognate signalling ligand C 4 -HSL, it depends on the presence of the chaperone-like protein PqsE for stability and activity. This intrinsic instability implies that RhlR may be susceptible to external influences that can modulate its function. Indeed, a lower culture temperature, akin to an environmental-like condition, induces the transcription of the phz1 operon, used as a proxy for RhlR activity. Using a combination of genetic approaches, we present evidence that this thermoregulation is due to an impact on the stability of the RhlR/C 4 -HSL/PqsE complex. We further show the biological effect of this regulation mechanism in an infection setting, which could underscore a relevant role for other bacterial behaviours.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».