MétaCan
Menu
Retour à la cohorte
Enregistrement W2025942500 · doi:10.1128/jb.00356-07

Novel Links between Antibiotic Resistance and Antibiotic Production

2007· review· en· W2025942500 sur OpenAlexaff
Justin R. Nodwell

Notice bibliographique

RevueJournal of Bacteriology · 2007
Typereview
Langueen
DomaineMedicine
ThématiqueMicrobial Natural Products and Biosynthesis
Établissements canadiensMcMaster University
Organismes subventionnairesnon disponible
Mots-clésBiologyAntibioticsAntibiotic resistanceMicrobiologyResistance (ecology)Production (economics)BiotechnologyEcology

Résumé

récupéré en direct d'OpenAlex

Streptomyces coelicolor is the best-developed model system for an enormous family of filamentous soil bacteria. One reason for the interest in these organisms is that they produce numerous secondary metabolites, many of which are employed clinically as antibiotics. Most streptomycetes produce several biologically active secondary metabolites; S. coelicolor produces at least four. Not surprisingly, they also possess resistance genes for the antimicrobial molecules they produce; often these are linked to and are coregulated with the antibiotic biosynthesis genes. As our understanding of secondary metabolism advances, it is becoming increasingly clear that the relationship between antibiotic production and resistance is more complicated than expected. For example, the S. coelicolor genome encodes proteins that are similar in sequence and mechanism to those that confer clinical resistance to vancomycin (7, 8). This was a surprise because S. coelicolor does not produce vancomycin or, indeed, any glycopeptide antibiotics. More recently, environmental isolates of Streptomyces spp. have been described that harbor enzymatic resistance mechanisms for antibiotics that are semisynthetic or wholly synthetic and, presumably, have never existed in nature (5, 17). Where did the selective pressure for these resistance mechanisms come from? In addition to this apparent disconnect between biosynthesis and resistance, antibiotic production appears to be controlled by a regulatory network of truly Byzantine proportions: to date at least 18 genes have been shown to influence antibiotic production in S. coelicolor—a subset of these also control sporulation (3). Clearly, bacteria have devoted a great deal of evolutionary time to developing antibiotic resistance mechanisms and the regulatory apparatus for controlling for antibiotic production. In this issue of the Journal of Bacteriology, and in a companion article published in Molecular Microbiology (15), Kenji Nishimura and coworkers in Kozo Ochi's laboratory report the elucidation of the mechanism of type II streptomycin resistance (12). Their discoveries strongly reinforce the suspicion that there is much to learn about the relationship between antibiotic resistance and biosynthesis. Streptomycin, a secondary metabolite produced by several Streptomyces strains, was introduced as a therapeutic agent in the early 1940s and proved spectacularly successful against a number of serious infections. Sadly, however, it went on to set the pattern for clinical resistance to antibiotics. By 1946, resistant strains had been reported, and by the early 1950s, clinical resistance was so widespread that the antibiotic began to fall into disuse, supplanted as a miracle cure-all by newer drugs. In S. coelicolor, two categories of streptomycin-resistant mutants have been characterized. Type I mutants are resistant to high concentrations of the antibiotic, and type II mutants are resistant to much lower concentrations. Both mechanisms are specific to streptomycin; neither confers resistance to other antibiotics. This pattern of distinct high and low resistance has been reported for other bacteria (6, 11). An odd effect of both types of strR mutations on S. coelicolor is that they bring about the overproduction of the secondary metabolite actinorhodin, a polyketide that is otherwise unrelated to streptomycin (9, 13, 16). Indeed, strR mutations can overcome the effects of mutations in genes such as relA, relC, and brgA that, on their own, impair actinorhodin production (16). Type I resistance is brought about by mutations in the rpsL gene, which encodes the S12 protein of the 30S subunit of the ribosome (16). The mechanism responsible for type II resistance was first demonstrated to be genetically distinct from that of type I resistance in 1948 (6) but eluded molecular characterization until now. Nishimura and coworkers (12) have demonstrated its association with the gene rsmG in S. coelicolor and its orthologue gidB in Escherichia coli, Mycobacterium tuberculosis, and other species (15). This work linking rsmG to streptomycin resistance is of interest for technical reasons as well as biological ones. Genetic mapping is challenging in S. coelicolor and has apparently proven to be particularly difficult in this case. Reasons for this may be that the rsmG mutant phenotype is a relatively weak one and that most bacteria throw off type II streptomycin-resistant mutants at a relatively high frequency. The authors therefore made use of chip technology (1) recently developed for S. coelicolor, in which the entire genome sequence is arrayed in overlapping oligonucleotides. The arrays are interrogated by annealing them to wild-type and mutant chromosomal DNA, and the result is the straightforward identification of point mutations, insertions, or deletions within the mutant genome. In this case, the authors were able to show that a type II mutant had a sequence change in the S. coelicolor gene SCO3885, which they went on to rename rsmG for rRNA small subunit methyltransferase (12). This technology would likely be applicable to many organisms. For example, the identification of mutations that confer resistance to the diarylquinolone drug R207910 necessitated the nearly complete sequencing of three Mycobacterium sp. genomes (2). While high-throughput DNA sequencing grows increasingly efficient and affordable, it still requires a significant computational effort that could be avoided by this array technology. The rsmG gene encodes a highly conserved S-adenosylmethionine (SAM) binding protein and is found in all sequenced bacterial genomes. In spite of this high degree of conservation, the gene is nonessential: a deletion mutation confers type II streptomycin resistance and, in S. coelicolor, the overproduction of actinorhodin. This phenotype is associated with the loss of a specific 16S rRNA methylation at G518 in S. coelicolor (12) or G527 in E. coli (15), a residue that is found within the “530 loop” of the 16S rRNA and which interacts directly with streptomycin (4). Mutations in the M. tuberculosis orthologue of rsmG, gidB, were found to be tightly associated with type II streptomycin resistance in a large collection of clinical isolates (15). Previous work from the Ochi laboratory and others (10, 14, 16) demonstrated that type II mutants of S. coelicolor express SAM synthetase at higher levels than congenic wild-type strains (14). Consistent with this, they show here that an rsmG deletion mutant exhibits increased SAM synthetase activity late in the growth cycle and that this could be correlated with enhanced transcription of the SAM synthetase-encoding gene metK. An additional feature of this mutant is that translation was greatly enhanced in stationary phase cells relative to that a wild-type strain. This, however, was not caused by the elevated level of SAM synthetase or SAM levels as overexpression of metK from a high-copy-number plasmid did not confer enhanced translation in a wild-type strain. Enhanced translational efficiency may therefore be linked to the absence of 16S rRNA methylation. Overexpression of metK did, however, give rise to the overproduction of actinorhodin, as reported previously (10, 14). These phenomena are summarized in Fig. ​Fig.1.1. What is most striking is the fact that in addition to changing the ribosome's sensitivity to streptomycin, modification by RsmG seems to lower actinorhodin and SAM production through transcriptional effects. Somehow, the status of the ribosome is influencing the transcription of metK and actII-ORF4, the pathway-specific activator of the actinorhodin biosynthetic genes. FIG. 1. Summary of the known biochemical, transcriptional, translational, and resistance effects of the RsmG methyltransferase. In addition to addressing a 60-year-old question in antibiotic resistance, this work raises significant questions (12). It would appear that all bacteria, including the soil bacterium S. coelicolor, which may well share its habitat with streptomycin producers, encode a methyltransferase that makes them more sensitive to streptomycin. What do they gain from this? Loss of RsmG-mediated modification of the ribosome increases SAM synthetase production, translation efficiency during stationary phase, and remarkably, the production of the polyketide actinorhodin. How do the pathway-specific and pleiotropic antibiotic regulators identified in S. coelicolor contribute to this regulation? What is the significance of this chemical genetic interaction between the two types of streptomycin resistance and actinorhodin production, and does this sort of interaction extend to other antibiotics? This work is clearly an important step toward addressing these questions.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,966
Score d'incertitude au seuil0,878

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0030,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,057
Tête enseignante GPT0,330
Écart entre enseignants0,273 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations42
Publié2007
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueJournal of BacteriologyMême sujetMicrobial Natural Products and BiosynthesisTravaux en français237 207