ArticleMicrobiome2017
Identification of 76 novel B1 metallo-β-lactamases through large-scale screening of genomic and metagenomic data.
Article in Microbiome, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
49 citing papers in PubMed, 103 citations in OpenAlex.
- Exploring the Oral Resistome: From Metagenomics to Precision Oral Health.Microorganisms · 2026Review
- Antarctic soil microbiomes encode structurally conserved and phylogenetically diverse beta-lactamases.iMetaOmics · 2026Article
- Conserved protein sequence-structure signatures identify antibiotic resistance genes from the human microbiome.Microbiome · 2026Article
- Predatory myxobacteria lay at the cross-roads of metallo-β-lactamase evolution.Communications biology · 2026Article
- Antimicrobial Resistance in the Food Chain: Bridging Knowledge Gaps for Effective Detection and Control.Antibiotics (Basel, Switzerland) · 2026Review
- Beyond the Resistome: Molecular Insights, Emerging Therapies, and Environmental Drivers of Antibiotic Resistance.Antibiotics (Basel, Switzerland) · 2025Review
- ProtAlign-ARG: antibiotic resistance gene characterization integrating protein language models and alignment-based scoring.Scientific reports · 2025Article
- An alternative approach to combat multidrug-resistant bacteria: new insights into traditional Chinese medicine monomers combined with antibiotics.Advanced biotechnology · 2025Review
- A Japanese man with community-onset carbapenem-resistant Stutzerimonas nitrititolerans bacteremia and a sacral pressure ulcer: a case report.BMC infectious diseases · 2025Article
- Expanding the β-Lactamase Family in the Human Microbiome.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Strategies to Name Metallo-β-Lactamases and Number Their Amino Acid Residues.Antibiotics (Basel, Switzerland) · 2023Review
- Extensive screening reveals previously undiscovered aminoglycoside resistance genes in human pathogens.Communications biology · 2023Article
- Genomic Characterization of Carbapenem-Resistant Bacteria from Beef Cattle Feedlots.Antibiotics (Basel, Switzerland) · 2023Article
- Characterization of blaAnnals of clinical microbiology and antimicrobials · 2023Article
- Evidence for wastewaters as environments where mobile antibiotic resistance genes emerge.Communications biology · 2023Article
- Novel Antibiotic Resistance Genes Identified by Functional Gene Library Screening inInternational journal of molecular sciences · 2023Article
- Latent antibiotic resistance genes are abundant, diverse, and mobile in human, animal, and environmental microbiomes.Microbiome · 2023Article
- CARD 2023: expanded curation, support for machine learning, and resistome prediction at the Comprehensive Antibiotic Resistance Database.Nucleic acids research · 2023Article
- Transient comparison of techniques to counter multi-drug resistant bacteria: prime modules in curation of bacterial infections.Frontiers in antibiotics · 2023Review
- Evolution and Emergence of Antibiotic Resistance in Given Ecosystems: Possible Strategies for Addressing the Challenge of Antibiotic Resistance.Antibiotics (Basel, Switzerland) · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMetallo-β-lactamases are bacterial enzymes that provide resistance to carbapenems, the most potent class of antibiotics. These enzymes are commonly encoded on mobile genetic elements, which, together with their broad substrate spectrum and lack of clinically useful inhibitors, make them a particularly problematic class of antibiotic resistance determinants. We hypothesized that there is a large and unexplored reservoir of unknown metallo-β-lactamases, some of which may spread to pathogens, thereby threatening public health. The aim of this study was to identify novel metallo-β-lactamases of class B1, the most clinically important subclass of these enzymes.
resultsBased on a new computational method using an optimized hidden Markov model, we analyzed over 10,000 bacterial genomes and plasmids together with more than 5 terabases of metagenomic data to identify novel metallo-β-lactamase genes. In total, 76 novel genes were predicted, forming 59 previously undescribed metallo-β-lactamase gene families. The ability to hydrolyze imipenem in an Escherichia coli host was experimentally confirmed for 18 of the 21 tested genes. Two of the novel B1 metallo-β-lactamase genes contained atypical zinc-binding motifs in their active sites, which were previously undescribed for metallo-β-lactamases. Phylogenetic analysis showed that B1 metallo-β-lactamases could be divided into five major groups based on their evolutionary origin. Our results also show that, except for one, all of the previously characterized mobile B1 β-lactamases are likely to have originated from chromosomal genes present in Shewanella spp. and other Proteobacterial species.
conclusionsThis study more than doubles the number of known B1 metallo-β-lactamases. The findings have further elucidated the diversity and evolutionary history of this important class of antibiotic resistance genes and prepare us for some of the challenges that may be faced in clinics in the future.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.