Consensus on β-Lactamase Nomenclature

β-Lactamase diversity in Pseudomonas aeruginosa

Pseudomonas aeruginosa is a clinically important Gram-negative pathogen responsible for a wide variety of serious nosocomial and community-acquired infections. Antibiotic resistance is a major concern, as this organism has a wide variety of resistance mechanisms, including chromosomal class C (blaPDC) and D (blaOXA-50 family) β-lactamases, efflux pumps, porin channels, and the ability to readily acquire additional β-lactamases. Surveillance studies can reveal the diversity and distribution of β-lactamase alleles but are difficult and expensive to conduct. Herein, we apply a novel approach, using publicly available data derived from whole genome sequences, to explore the diversity and distribution of β-lactamase alleles across 30,452 P. aeruginosa isolates. The most common alleles were blaPDC-3, blaPDC-5, blaPDC-8, blaOXA-488, blaOXA-50, and blaOXA-486. Interestingly, only 43.6% of assigned blaPDC alleles were encountered, and the 10 most common blaPDC and intrinsic blaOXA alleles represent approximately 75% of their respective total alleles, while many other assigned alleles were extremely uncommon. As anticipated, differences were observed over time and geography. Surprisingly, more distinct unassigned alleles were encountered than distinct assigned alleles. Understanding the diversity and distribution of β-lactamase alleles helps to prioritize variants for further research, select targets for drug development, and may aid in selecting therapies for a given infection.

β-Lactamase diversity in Acinetobacter baumannii

Acinetobacter baumannii is a clinically important, Gram-negative pathogen responsible for a wide variety of nosocomial and community-acquired infections. Antibiotic resistance is a serious concern, as the organism has a wide variety of intrinsic resistance mechanisms, including chromosomal class C (blaADC) and D (blaOXA-51 family) β-lactamases, and the ability to readily acquire additional β-lactamases. Surveillance studies can reveal the diversity and distribution of β-lactamase alleles, but are difficult and expensive to conduct. Herein, we describe an approach using publicly available data derived from whole genome sequences, to explore the diversity and distribution of β-lactamase alleles across 28,330 isolates. The most common intrinsic alleles at the time of writing were blaADC-73, blaADC-30, blaADC-222, blaADC-33, and blaOXA-66, and the most common acquired allele was blaOXA-23. Interestingly, only 63.0% of assigned blaADC alleles were encountered and the 10 most common blaADC and intrinsic blaOXA alleles represented approximately 75% of their respective gene totals while dozens were extremely infrequent. Differences were observed over time and geography. Surprisingly, more distinct unassigned (i.e., lacking a blaADC or blaOXA number) alleles were encountered than distinct, assigned alleles. Understanding the diversity and distribution of β-lactamase alleles helps to prioritize variants for further research, selects targets for drug development, and may aid in selecting therapies for a given infection.

NCBI RefSeq: reference sequence standards through 25 years of curation and annotation

Reference sequences and annotations serve as the foundation for many lines of research today, from organism and sequence identification to providing a core description of the genes, transcripts and proteins found in an organism's genome. Interpretation of data including transcriptomics, proteomics, sequence variation and comparative analyses based on reference gene annotations informs our understanding of gene function and possible disease mechanisms, leading to new biomedical discoveries. The Reference Sequence (RefSeq) resource created at the National Center for Biotechnology Information (NCBI) leverages both automatic processes and expert curation to create a robust set of reference sequences of genomic, transcript and protein data spanning the tree of life. RefSeq continues to refine its annotation and quality control processes and utilize better quality genomes resulting from advances in sequencing technologies as well as RNA-Seq data to produce high-quality annotated genomes, ortholog predictions across more organisms and other products that are easily accessible through multiple NCBI resources. This report summarizes the current status of the eukaryotic, prokaryotic and viral RefSeq resources, with a focus on eukaryotic annotation, the increase in taxonomic representation and the effect it will have on comparative genomics. The RefSeq resource is publicly accessible at https://www.ncbi.nlm.nih.gov/refseq.

Diversity, functional classification and genotyping of SHV β-lactamases in Klebsiella pneumoniae

Interpreting the phenotypes of bla SHV alleles in Klebsiella pneumoniae genomes is complex. Whilst all strains are expected to carry a chromosomal copy conferring resistance to ampicillin, they may also carry mutations in chromosomal bla SHV alleles or additional plasmid-borne bla SHV alleles that have extended-spectrum β-lactamase (ESBL) activity and/or β-lactamase inhibitor (BLI) resistance activity. In addition, the role of individual mutations/a changes is not completely documented or understood. This has led to confusion in the literature and in antimicrobial resistance (AMR) gene databases [e.g. the National Center for Biotechnology Information (NCBI) Reference Gene Catalog and the β-lactamase database (BLDB)] over the specific functionality of individual sulfhydryl variable (SHV) protein variants. Therefore, the identification of ESBL-producing strains from K. pneumoniae genome data is complicated. Here, we reviewed the experimental evidence for the expansion of SHV enzyme function associated with specific aa substitutions. We then systematically assigned SHV alleles to functional classes (WT, ESBL and BLI resistant) based on the presence of these mutations. This resulted in the re-classification of 37 SHV alleles compared with the current assignments in the NCBI's Reference Gene Catalog and/or BLDB (21 to WT, 12 to ESBL and 4 to BLI resistant). Phylogenetic and comparative genomic analyses support that (i) SHV-1 (encoded by bla SHV-1) is the ancestral chromosomal variant, (ii) ESBL- and BLI-resistant variants have evolved multiple times through parallel substitution mutations, (iii) ESBL variants are mostly mobilized to plasmids and (iv) BLI-resistant variants mostly result from mutations in chromosomal bla SHV. We used matched genome-phenotype data from the KlebNET-GSP AMR Genotype-Phenotype Group to identify 3999 K. pneumoniae isolates carrying one or more bla SHV alleles but no other acquired β-lactamases to assess genotype-phenotype relationships for bla SHV. This collection includes human, animal and environmental isolates collected between 2001 and 2021 from 24 countries. Our analysis supports that mutations at Ambler sites 238 and 179 confer ESBL activity, whilst most omega-loop substitutions do not. Our data also provide support for the WT assignment of 67 protein variants, including 8 that were noted in public databases as ESBL. These eight variants were reclassified as WT because they lack ESBL-associated mutations, and our phenotype data support susceptibility to third-generation cephalosporins (SHV-27, SHV-38, SHV-40, SHV-41, SHV-42, SHV-65, SHV-164 and SHV-187). The approach and results outlined here have been implemented in Kleborate v2.4.1 (a software tool for genotyping K. pneumoniae), whereby known and novel bla SHV alleles are classified based on causative mutations. Kleborate v2.4.1 was updated to include ten novel protein variants from the KlebNET-GSP dataset and all alleles in public databases as of November 2023. This study demonstrates the power of sharing AMR phenotypes alongside genome data to improve the understanding of resistance mechanisms.

Molecular genotyping reveals multiple carbapenemase genes and unique blaOXA-51-like (oxaAb) alleles among clinically isolated Acinetobacter baumannii from a Philippine tertiary hospital

BACKGROUND

Acinetobacter baumannii continued to be an important Gram-negative pathogen of concern in the clinical context. The resistance of this pathogen to carbapenems due to the production of carbapenemases is considered a global threat. Despite the efforts to track carbapenemase synthesis among A. baumannii in the Philippines, local data on its molecular features are very scarce. This study aims to characterize A. baumannii clinical isolates from a Philippine tertiary hospital through genotyping of the pathogen's carbapenemase genes.

METHODS

Antibiotic susceptibility profiling, phenotypic testing of carbapenemase production, and polymerase chain reaction assays to detect the different classes of carbapenemase genes (class A blaKPC, class B blaNDM, blaIMP, blaVIM, and class D blaOXA-23-like, blaOXA-24/40-like, blaOXA-48-like, blaOXA-51-like, ISAba1-blaOXA-51-like, blaOXA-58-like) were performed in all collected A. baumannii, both carbapenem resistant and susceptible (n = 52).

RESULTS

Results showed that the majority of the carbapenem-resistant strains phenotypically produced carbapenemases (up to 84% in carbapenem inactivation methods) and possessed the ISAba1-blaOXA-51-like gene complex (80%). Meanwhile, both carbapenem-resistant and carbapenem-susceptible isolates possessed multi-class carbapenemase genes including blaNDM (1.9%), blaVIM (3.9%), blaOXA-24/40-like (5.8%), blaOXA-58-like (5.8%), blaKPC (11.5%), and blaOXA-23-like (94.2%), which coexist with each other in some strains (17.3%). In terms of the intrinsic blaOXA-51-like (oxaAb) genes, 23 unique alleles were reported (blaOXA-1058 to blaOXA-1080), the majority of which are closely related to blaOXA-66. Isolates possessing these alleles showed varying carbapenem resistance profiles.

CONCLUSIONS

In summary, this study highlighted the importance of molecular genotyping in the characterization of A. baumannii by revealing the carbapenemase profiles of the pathogen (which may not be captured accurately in phenotypic tests), in identifying potent carriers of transferrable carbapenemase genes (which may not be expressed straightforwardly in antimicrobial susceptibility testing), and in monitoring unique pathogen epidemiology in the local clinical setting.

Genomic insights into Leminorella grimontii and its chromosomal class A GRI β-lactamase

Leminorella grimontii strain LG-KP-E1-2-T0 was isolated from Zophobas morio larvae. It showed a susceptibility phenotype compatible with the expression of an inducible extended-spectrum β-lactamase. The presence of a chromosomal bla gene encoding for the class A GRI-1 β-lactamase was revealed by whole-genome sequencing. GRI-1 shared the highest amino acid identity with RIC-1 and OXY-type β-lactamases (76-80%). Analysis of six further publicly-available L. grimontii draft genomes deposited in NCBI revealed that blaGRI-1 was always present. Core-genome analysis indicated that LG-KP-E1-2-T0 was unique from other strains. We provided the first complete genome of L. grimontii and new insights on its chromosomal β-lactamases.

Loop-mediated isothermal amplification assay detects multiple alleles of bla OXA-51-like genes in Acinetobacter baumannii and other Gram-negative bacteria despite primer-template mismatches

The known intrinsic and polymorphic bla OXA-51-like genes of Acinetobacter baumannii were recently reported in other non-A. baumannii Gram-negative pathogens. Accurate detection of this potentially transferrable carbapenemase gene in the clinical setting is critical. This study developed a loop-mediated isothermal amplification (LAMP) assay targetting multiple alleles of bla OXA-51-like genes. Specifically, an alignment-based primer design, in silico primer screening, and in vitro assay confirmation were conducted. Both in silico and in vitro results revealed the tolerance of the LAMP assay to up to five primer-template mismatches outside the 3'-end primer regions. Within 90 min, the LAMP assay also detected the gene targets in other Gram-negative bacteria with known and novel bla OXA-51-like genes. Finally, it showed a superior limit of detection (as low as 101 CFU/mL) compared with polymerase chain reaction, and high specificity against non-targets. This study developed a highly adaptable LAMP assay to monitor bla OXA-51-like genes in the clinical setting and provided important insights into LAMP primer design and screening.

Biochemical characterization of the L1-like metallo-β-lactamase from Stenotrophomonas lactitubi

L1-like metallo-β-lactamases (MBLs) exhibit diversity and are highly conserved. Although the presence of the blaL1-like gene is known, the biochemical characteristics are unclear. This study aimed to characterize an L1-like MBL from Stenotrophomonas lactitubi. It showed 70.9-99.7% similarity to 50 L1-like amino acid sequences. The characteristic kinetic parameter was its high hydrolyzing efficiency for ampicillin and nitrocefin. Furthermore, L1-like from S. lactitubi was distinctly more susceptible to inhibition by EDTA than that to inhibition by 2,6-pyridinedicarboxylic acid.

Strategies to Name Metallo-β-Lactamases and Number Their Amino Acid Residues

Metallo-β-lactamases (MBLs), also known as class B β-lactamases (BBLs), are Zn(II)-containing enzymes able to inactivate a broad range of β-lactams, the most commonly used antibiotics, including life-saving carbapenems. They have been known for about six decades, yet they have only gained much attention as a clinical problem for about three decades. The naming conventions of these enzymes have changed over time and followed various strategies, sometimes leading to confusion. We are summarizing the naming strategies of the currently known MBLs. These enzymes are quite diverse on the amino acid sequence level but structurally similar. Problems trying to describe conserved residues, such as Zn(II) ligands and other catalytically important residues, which have different numbers in different sequences, have led to the establishment of a standard numbering scheme for BBLs. While well intended, the standard numbering scheme is not trivial and has not been applied consistently. We revisit this standard numbering scheme and suggest some strategies for how its implementation could be made more accessible to researchers. Standard numbering facilitates the comparison of different enzymes as well as their interaction with novel antibiotics and BBL inhibitors.

Ten simple rules for the sharing of bacterial genotype-Phenotype data on antimicrobial resistance

The increasing availability of high-throughput sequencing (frequently termed next-generation sequencing (NGS)) data has created opportunities to gain deeper insights into the mechanisms of a number of diseases and is already impacting many areas of medicine and public health. The area of infectious diseases stands somewhat apart from other human diseases insofar as the relevant genomic data comes from the microbes rather than their human hosts. A particular concern about the threat of antimicrobial resistance (AMR) has driven the collection and reporting of large-scale datasets containing information from microbial genomes together with antimicrobial susceptibility test (AST) results. Unfortunately, the lack of clear standards or guiding principles for the reporting of such data is hampering the field's advancement. We therefore present our recommendations for the publication and sharing of genotype and phenotype data on AMR, in the form of 10 simple rules. The adoption of these recommendations will enhance AMR data interoperability and help enable its large-scale analyses using computational biology tools, including mathematical modelling and machine learning. We hope that these rules can shed light on often overlooked but nonetheless very necessary aspects of AMR data sharing and enhance the field's ability to address the problems of understanding AMR mechanisms, tracking their emergence and spread in populations, and predicting microbial susceptibility to antimicrobials for diagnostic purposes.

Genomic Epidemiological Analysis of Antimicrobial-Resistant Bacteria with Nanopore Sequencing

Antimicrobial-resistant (AMR) bacterial infections caused by clinically important bacteria, including ESKAPE pathogens (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter species) and mycobacteria (Mycobacterium tuberculosis and nontuberculous mycobacteria), have become a global public health threat. Their epidemic and pandemic clones often accumulate useful accessory genes in their genomes, such as AMR genes (ARGs) and virulence factor genes (VFGs). This process is facilitated by horizontal gene transfer among microbial communities via mobile genetic elements (MGEs), such as plasmids and phages. Nanopore long-read sequencing allows easy and inexpensive analysis of complex bacterial genome structures, although some aspects of sequencing data calculation and genome analysis methods are not systematically understood. Here we describe the latest and most recommended experimental and bioinformatics methods available for the construction of complete bacterial genomes from nanopore sequencing data and the detection and classification of genotypes of bacterial chromosomes, ARGs, VFGs, plasmids, and other MGEs based on their genomic sequences for genomic epidemiological analysis of AMR bacteria.

Database resources of the National Center for Biotechnology Information in 2023

The National Center for Biotechnology Information (NCBI) provides online information resources for biology, including the GenBank® nucleic acid sequence database and the PubMed® database of citations and abstracts published in life science journals. NCBI provides search and retrieval operations for most of these data from 35 distinct databases. The E-utilities serve as the programming interface for most of these databases. New resources include the Comparative Genome Resource (CGR) and the BLAST ClusteredNR database. Resources receiving significant updates in the past year include PubMed, PMC, Bookshelf, IgBLAST, GDV, RefSeq, NCBI Virus, GenBank type assemblies, iCn3D, ClinVar, GTR, dbGaP, ALFA, ClinicalTrials.gov, Pathogen Detection, antimicrobial resistance resources, and PubChem. These resources can be accessed through the NCBI home page at https://www.ncbi.nlm.nih.gov.

CARD 2023: expanded curation, support for machine learning, and resistome prediction at the Comprehensive Antibiotic Resistance Database

The Comprehensive Antibiotic Resistance Database (CARD; card.mcmaster.ca) combines the Antibiotic Resistance Ontology (ARO) with curated AMR gene (ARG) sequences and resistance-conferring mutations to provide an informatics framework for annotation and interpretation of resistomes. As of version 3.2.4, CARD encompasses 6627 ontology terms, 5010 reference sequences, 1933 mutations, 3004 publications, and 5057 AMR detection models that can be used by the accompanying Resistance Gene Identifier (RGI) software to annotate genomic or metagenomic sequences. Focused curation enhancements since 2020 include expanded β-lactamase curation, incorporation of likelihood-based AMR mutations for Mycobacterium tuberculosis, addition of disinfectants and antiseptics plus their associated ARGs, and systematic curation of resistance-modifying agents. This expanded curation includes 180 new AMR gene families, 15 new drug classes, 1 new resistance mechanism, and two new ontological relationships: evolutionary_variant_of and is_small_molecule_inhibitor. In silico prediction of resistomes and prevalence statistics of ARGs has been expanded to 377 pathogens, 21,079 chromosomes, 2,662 genomic islands, 41,828 plasmids and 155,606 whole-genome shotgun assemblies, resulting in collation of 322,710 unique ARG allele sequences. New features include the CARD:Live collection of community submitted isolate resistome data and the introduction of standardized 15 character CARD Short Names for ARGs to support machine learning efforts.

Extended-Spectrum Beta-Lactamases Producing Enterobacteriaceae in the USA Dairy Cattle Farms and Implications for Public Health

Antimicrobial resistance (AMR) is one of the top global health threats of the 21th century. Recent studies are increasingly reporting the rise in extended-spectrum beta-lactamases producing Enterobacteriaceae (ESBLs-Ent) in dairy cattle and humans in the USA. The causes of the increased prevalence of ESBLs-Ent infections in humans and commensal ESBLs-Ent in dairy cattle farms are mostly unknown. However, the extensive use of beta-lactam antibiotics, especially third-generation cephalosporins (3GCs) in dairy farms and human health, can be implicated as a major driver for the rise in ESBLs-Ent. The rise in ESBLs-Ent, particularly ESBLs-Escherichia coli and ESBLs-Klebsiella species in the USA dairy cattle is not only an animal health issue but also a serious public health concern. The ESBLs-E. coli and -Klebsiella spp. can be transmitted to humans through direct contact with carrier animals or indirectly through the food chain or via the environment. The USA Centers for Disease Control and Prevention reports also showed continuous increase in community-associated human infections caused by ESBLs-Ent. Some studies attributed the elevated prevalence of ESBLs-Ent infections in humans to the frequent use of 3GCs in dairy farms. However, the status of ESBLs-Ent in dairy cattle and their contribution to human infections caused by ESBLs-producing enteric bacteria in the USA is the subject of further study. The aims of this review are to give in-depth insights into the status of ESBL-Ent in the USA dairy farms and its implication for public health and to highlight some critical research gaps that need to be addressed.

Biochemical Characterization of the Subclass B3 Metallo-β-Lactamase PJM-1 from Pseudoxanthomonas japonensis

Biochemical properties of the novel subclass B3 metallo-β-lactamase (MBL) PJM-1 expressed in Pseudoxanthomonas japonensis, which is often isolated from the environment, were determined. The 906-bp bla_PJM-1 gene in P. japonensis is a species-specific MBL gene, and PJM, with 301 predicted amino acids, has 81.8% amino acid identity with AIM-1. In this study, PJM-1 was recombinantly expressed and purified. PJM-1 showed a low catalytic activity against ceftazidime and cefepime, and it was strongly inhibited by EDTA.

Molecular Characterization of bla NDM -Carrying IncX3 Plasmids: bla NDM-16b Likely Emerged from a Mutation of bla NDM-5 on IncX3 Plasmid

Dissemination of bla_NDM, which is carried on the IncX3 plasmid, among Enterobacterales has been reported worldwide. In particular, bla_NDM-5-carrying IncX3 plasmids can spread among several hosts, facilitating their dissemination. Other variants, such as bla_NDM-17-, bla_NDM-19-, bla_NDM-20-, bla_NDM-21-, and bla_NDM-33-carrying IncX3 plasmids, have also been reported. Here, we characterized, using whole-genome sequencing (WGS), a bla_NDM-16b-carrying IncX3 plasmid harbored by Escherichia coli strain TA8571, which was isolated from a urine specimen of a hospital inpatient in Tokyo, Japan. The bla_NDM-16b differed in sequence from bla_NDM-5 (C > T at site 698, resulting in an Ala233Val substitution). This bla_NDM-16b-carrying IncX3 plasmid (pTMTA8571-1) is 46,161 bp in length and transferred via conjugation. Transconjugants showed high resistance to β-lactam antimicrobials (except for aztreonam). Because pTMTA8571-1, which carries the Tn125-related region containing bla_NDM and conjugative transfer genes, was similar to the previously reported IncX3 plasmids, we performed phylogenetic analysis based on the sequence of 34 shared genes in 142 bla_NDM-carrying IncX3 plasmids (22,846/46,923 bp). Comparative analysis of the shared genes revealed short branches on the phylogenetic tree (average of 1.08 nucleotide substitutions per shared genes), but each bla_NDM variant was divided into separate groups, and the structure of the tree correlated with the flowchart of bla_NDM nucleotide substitutions. The bla_NDM-carrying IncX3 plasmids may thereby have evolved from the same ancestral plasmid with subsequent mutation of the bla_NDM. Therefore, pTMTA8571-1 likely emerged from a bla_NDM-5-carrying IncX3 plasmid. This study suggested that the spread of bla_NDM-carrying IncX3 plasmids may be a hotbed for the emergence of novel variants of bla_NDM.

IMPORTANCEbla_NDM-carrying IncX3 plasmids have been reported worldwide. Harbored bla_NDM variants were mainly bla_NDM-5, but there were also rare variants like bla_NDM-17, bla_NDM-19, bla_NDM-20, bla_NDM-21, and bla_NDM-33, including bla_NDM-16b detected in this study. For these plasmids, previous reports analyzed whole genomes or parts of sequences among a small number of samples, whereas, in this study, we performed an analysis of 142 bla_NDM-carrying IncX3 plasmids detected around the world. The results showed that regardless of the bla_NDM variants, bla_NDM-carrying IncX3 plasmids harbored highly similar shared genes. Because these plasmids already spread worldwide may be a hotbed for the emergence of rare or novel variants of bla_NDM, increased attention should be paid to bla_NDM-carrying IncX3 plasmids in the future.