The molecular mechanisms underlying hidden phenotypic variation among metallo-ß-lactamases
Notice bibliographique
Résumé
Abstract Genetic variation among orthologous genes has been largely formed through neutral genetic drift to maintain the same functional role. In some circumstances, however, this genetic variation can create critical phenotypic variation, particularly when genes are transferred to a new host by horizontal gene transfer (HGT). Unveiling “hidden phenotypic variation” through HGT is especially important for genes that confer resistance to antibiotics, which continue to disseminate to new organisms through HGT. Despite this biomedical importance, our understanding of the molecular mechanisms that underlie hidden phenotypic variation remains limited. Here we sought to determine the extent of hidden phenotypic variation in the B1 metallo-β-lactamase (MBL) family, as well as to determine its molecular basis by systematically characterizing eight MBL orthologs when they are expressed in three different organisms ( E. coli, P. aeruginosa, and K. pneumoniae ). We found that these MBLs confer diverse levels of resistance in each organism, which cannot be explained by variation in catalytic efficiency alone; rather, it is the combination of the catalytic efficiency and abundance of functional periplasmic enzyme that best predicts the observed variation in resistance. The level of functional periplasmic expression varied dramatically between MBL orthologs and between hosts. This was the result changes at multiple levels of each enzyme’s functional: 1) the quantity of mRNA; 2) the amount of MBL expressed; and 3) the efficacy of functional enzyme translocation to the periplasm. Overall, we see that it is the interaction between each gene and the host’s underlying cellular processes (transcription, translation, and translocation) that determines MBL genetic incompatibility thorough HGT. These host-specific processes may constrain the effective spread and deployment of MBLs to certain host species, and could explain the current observed distribution bias. Author Summary Orthologous genes spread among different organisms, typically maintaining the same functional role within the cell while accumulating some, presumably functionally-inert, genetic variation over time. However, these seemingly neutral gene sequence changes among orthologs can be revealed to have substantial difference in protein phenotypes, and thus, organismal fitness, when they are transferred to other host species. This so-called “hidden phenotypic variation” through horizontal gene transfer may play an important role in dissemination of antibiotic resistance genes, in particular. In this work, we systematically investigated the extent of phenotypic variation in eight orthologous antibiotic resistant genes from the metallo-β-lactamases family (MBLs), and identified the molecular causes underlying the observed phenotypic variation. We found that functional protein expression varied substantially among MBLs (causing significant variation in the level of antibiotic resistance conferred), and that this could not be explained by variation in catalytic efficiency alone. Instead, we see that functional variation is caused by multiple steps in the protein production, transcription, translation and translocation, that are necessary to provide functional enzymes in the bacterial periplasm. Thus, the successful gene transfer and dissemination of antibiotic resistance genes can be determined by complex interactions between the gene and host underlying cellular processes.
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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) | 0,000 | 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 ».