{"doi":"10.1128/aac.00784-24","title":"β-Lactamase diversity in <i>Acinetobacter baumannii</i>","abstract":"ABSTRACT 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 ( bla ADC ) and D ( bla OXA-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 bla ADC-73 , bla ADC-30 , bla ADC-222 , bla ADC-33 , and bla OXA-66 , and the most common acquired allele was bla OXA-23 . Interestingly, only 63.0% of assigned bla ADC alleles were encountered and the 10 most common bla ADC and intrinsic bla OXA 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 bla ADC or bla OXA 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.","journal":"Antimicrobial Agents and Chemotherapy","year":2025,"id":510151,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":22,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.949,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":232749,"name":"Andrea M. Hujer","orcid":"0009-0001-3543-1826","position":1,"is_corresponding":false},{"id":644220,"name":"María F. Mojica","orcid":"0000-0002-1380-9824","position":2,"is_corresponding":false},{"id":272734,"name":"Magdalena A. Taracila","orcid":null,"position":3,"is_corresponding":false},{"id":29079,"name":"Michael Feldgarden","orcid":"0000-0003-4686-8916","position":4,"is_corresponding":false},{"id":104539,"name":"Daniel H. Haft","orcid":"0000-0001-8101-4938","position":5,"is_corresponding":false},{"id":107200,"name":"William Klimke","orcid":null,"position":6,"is_corresponding":false},{"id":614442,"name":"Arjun Prasad","orcid":"0000-0002-1343-8664","position":7,"is_corresponding":false},{"id":232761,"name":"Robert A. Bonomo","orcid":"0000-0002-3299-894X","position":8,"is_corresponding":false},{"id":270506,"name":"Andrew R Mack","orcid":"0000-0002-0131-7996","position":0,"is_corresponding":true}],"reference_count":57,"raw_metadata":null,"created_at":"2026-07-19T02:47:30.942539Z","pmid":"39927782","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}