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Record W4413500605 · doi:10.1128/msphere.00188-25

Functional insights into <i>Streptomyces</i> isolates containing both clavulanic acid-like and carbapenem biosynthetic gene clusters

2025· article· en· W4413500605 on OpenAlexafffund
Kapil Tahlan, Arshad Ali Shaikh, Jingyu Liu, Kajal Gupta, Nader F. AbuSara, Santosh K. Srivastava, Ayla Rouah, Madelyn Joan Swackhamer

Bibliographic record

VenuemSphere · 2025
Typearticle
Languageen
FieldMedicine
TopicMicrobial Natural Products and Biosynthesis
Canadian institutionsMemorial University of Newfoundland
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsClavulanic acidStreptomyces clavuligerusStreptomycesMicrobiologyAntimicrobialAntibioticsCarbapenemBiologyBacteriaStreptomycetaceaeActinobacteriaGeneBiochemistryActinomycetalesGenetics16S ribosomal RNAAmoxicillin

Abstract

fetched live from OpenAlex

ABSTRACT β-Lactam antibiotics and β-lactamase inhibitor combinations are essential for combating antimicrobial resistance, with many β-lactams, including clavulanic acid (CA), themselves being products of specialized metabolic pathways in bacteria. CA is a potent β-lactamase inhibitor, and in known producers such as Streptomyces clavuligerus , it is co-produced with the β-lactam antibiotic cephamycin C, and their biosynthetic gene clusters (BGCs) are always located adjacent on the chromosome. However, CA-like BGCs have also been identified in other bacteria, often without an accompanying cephamycin C BGC. Similarly, carbapenem BGCs (a subclass of β-lactams), such as those responsible for producing MM 4550, a member of the olivanic acid complex with both antibiotic and β-lactamase inhibitory properties, are also found in Streptomyces species. This study investigated antimicrobial and β-lactamase inhibitory activity production in Streptomyces pratensis and 10 environmental Streptomyces isolates (JAC strains) containing CA-like and MM 4550-like BGCs but lacking cephamycin C BGCs. While the examined isolates do not produce CA, they synthesize predicted monocyclic β-lactam precursors of CA, which potentially represent a previously unrecognized, primordial form of β-lactamase inhibitor. Several JAC isolates also exhibited both β-lactamase inhibitory and β-lactam antibiotic activities, indicating that the carbapenem BGC is active in these strains. Gene disruption analysis confirmed that MM 4550-like carbapenem BGCs contribute to both antimicrobial and β-lactamase inhibitory activities, whereas CA-like clavam BGCs only contribute to β-lactamase inhibition. The findings also suggest that both β-lactam BGC types co-occur in nature more frequently than previously recognized, possibly with functional significance and potential applications in the discovery of novel antibiotic-inhibitor combinations. IMPORTANCE The global rise of antimicrobial resistance calls for innovative strategies to preserve the efficacy of existing antibiotics and identify new therapeutic agents. This study explores naturally occurring β-lactamase inhibitors and antibiotics beyond well-characterized systems. Investigation of clavulanic acid (CA)-like and MM 4550-like biosynthetic gene clusters (BGCs) in Streptomyces pratensis and related environmental isolates revealed a broader occurrence of monocyclic β-lactam precursors and dual-function carbapenems in nature. These findings offer new insights into β-lactam co-production and further indicate that unlinked β-lactam BGCs may have functional significance. The study also highlights the importance of exploring silent counterparts of known BGCs as potential sources of bioactive metabolites, enhancing our understanding of β-lactam BGC diversity and evolution. Notably, it identifies β-lactamase inhibitor and antibiotic-producing strains, opening new avenues for discovering antibiotic-inhibitor combinations of relevance.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.185
Threshold uncertainty score0.701

Codex and Gemma teacher scores by category

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 head0.008
GPT teacher head0.222
Teacher spread0.214 · 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 teacher head, 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
Published2025
Admission routes2
Has abstractyes

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