<p>The accelerating spread of extended-spectrum β-lactamase (ESBL)-mediated resistance threatens the clinical utility of β-lactam antibiotics across human, veterinary, and environmental health sectors, underscoring the need for reliable genomic frameworks within a One Health context. Public genomic repositories are central to antimicrobial resistance (AMR) research, yet their utility is constrained by annotation inconsistency, nomenclature ambiguity, and biased (non-random) data deposition. Here, we performed phylogeny-guided curation and variant-level fingerprinting of ESBL gene families using 2746 β-lactamase sequences retrieved from UniProt, GenBank, Kyoto Encyclopedia of Genes and Genomes (KEGG), and Comprehensive Antibiotic Resistance Database (CARD), comprising <i>bla</i><sub>CTX-M</sub> (<i>n</i> = 1316), <i>bla</i><sub>TEM</sub> (<i>n</i> = 895), and <i>bla</i><sub>SHV</sub> (<i>n</i> = 535). Conserved motif analysis, domain architecture assessment, and KEGG/CARD cross-validation revealed extensive annotation discordance: only 42.9% (1177/2746) of entries were correctly annotated, 3.8% (104/2746) required reclassification, and 53.3% (1465/2746) remained insufficiently resolved. Phylogenetic reconstruction enabled reclassification of cryptic variants and delineation of species-associated phylogroups consistent with lineage compatibility and horizontal gene transfer. Significant gene-host structuring was observed across species (χ<sup>2</sup> = 479.64, df = 28, <i>P</i> = 1.04 × 10⁻<sup>83</sup>), with <i>Escherichia coli</i> enriched for <i>bla</i><sub>CTX-M-15</sub> (<i>n</i> = 124), <i>Klebsiella</i> spp. for <i>bla</i><sub>SHV-11</sub> (<i>n</i> = 105), and <i>Salmonella</i> spp. for <i>bla</i><sub>TEM-1</sub> (<i>n</i> = 52). These dominant allele patterns were independently supported by isolate-level genome surveillance metadata from NCBI Pathogen Detection (Create date ≤ 2022), confirming <i>bla</i><sub>CTX-M-15</sub> predominance in <i>E.&#xa0;coli</i>/<i>Shigella</i> and <i>bla</i><sub>SHV-11</sub> predominance in <i>Klebsiella pneumoniae</i>. Subvariant diversity (Shannon index) was highest in <i>Acinetobacter</i> spp. (H′ = 3.578), <i>Enterobacter</i> spp. (H′ = 3.385), and <i>Proteus</i> spp. (H′ = 3.251), whereas <i>Vibrio</i> spp. exhibited restricted diversity (H′ = 0.95). Morphological stratification confirmed the predominance of Gram-negative bacilli among ESBL-encoding organisms (99%; χ<sup>2</sup> = 33.62, df = 2, <i>P</i> = 5.00 × 10<sup>−8</sup>). Analysis of database submissions spanning 1998–2022 demonstrated statistically significant temporal shifts in&#xa0;ESBL family representation across years (χ<sup>2</sup> = 254.20, df = 36, <i>P</i> = 1.21 × 10⁻<sup>34</sup>), with a marked rise in <i>bla</i><sub>CTX-M</sub> representation after&#xa0;2016 period. Ecological attribution using curated metadata indicated that 85% (<i>n</i> = 2324) of ESBL entries were linked to species occurring at the human–animal interface, likely&#xa0;reflecting database deposition bias&#xa0;rather than true reservoir prevalence. Collectively, this study provides a high-confidence, variant-resolved ESBL fingerprint derived from curated public databases, highlights systematic annotation limitations, and supports database-aware interpretation of comparative AMR research within a One Health framework.</p>

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Cracking the code of resistance: a phylogeny-guided variant fingerprint of ESBL genes in public genomic databases across the human–animal interface

  • Farouk Hassan,
  • Süheyla Türkyılmaz

摘要

The accelerating spread of extended-spectrum β-lactamase (ESBL)-mediated resistance threatens the clinical utility of β-lactam antibiotics across human, veterinary, and environmental health sectors, underscoring the need for reliable genomic frameworks within a One Health context. Public genomic repositories are central to antimicrobial resistance (AMR) research, yet their utility is constrained by annotation inconsistency, nomenclature ambiguity, and biased (non-random) data deposition. Here, we performed phylogeny-guided curation and variant-level fingerprinting of ESBL gene families using 2746 β-lactamase sequences retrieved from UniProt, GenBank, Kyoto Encyclopedia of Genes and Genomes (KEGG), and Comprehensive Antibiotic Resistance Database (CARD), comprising blaCTX-M (n = 1316), blaTEM (n = 895), and blaSHV (n = 535). Conserved motif analysis, domain architecture assessment, and KEGG/CARD cross-validation revealed extensive annotation discordance: only 42.9% (1177/2746) of entries were correctly annotated, 3.8% (104/2746) required reclassification, and 53.3% (1465/2746) remained insufficiently resolved. Phylogenetic reconstruction enabled reclassification of cryptic variants and delineation of species-associated phylogroups consistent with lineage compatibility and horizontal gene transfer. Significant gene-host structuring was observed across species (χ2 = 479.64, df = 28, P = 1.04 × 10⁻83), with Escherichia coli enriched for blaCTX-M-15 (n = 124), Klebsiella spp. for blaSHV-11 (n = 105), and Salmonella spp. for blaTEM-1 (n = 52). These dominant allele patterns were independently supported by isolate-level genome surveillance metadata from NCBI Pathogen Detection (Create date ≤ 2022), confirming blaCTX-M-15 predominance in E. coli/Shigella and blaSHV-11 predominance in Klebsiella pneumoniae. Subvariant diversity (Shannon index) was highest in Acinetobacter spp. (H′ = 3.578), Enterobacter spp. (H′ = 3.385), and Proteus spp. (H′ = 3.251), whereas Vibrio spp. exhibited restricted diversity (H′ = 0.95). Morphological stratification confirmed the predominance of Gram-negative bacilli among ESBL-encoding organisms (99%; χ2 = 33.62, df = 2, P = 5.00 × 10−8). Analysis of database submissions spanning 1998–2022 demonstrated statistically significant temporal shifts in ESBL family representation across years (χ2 = 254.20, df = 36, P = 1.21 × 10⁻34), with a marked rise in blaCTX-M representation after 2016 period. Ecological attribution using curated metadata indicated that 85% (n = 2324) of ESBL entries were linked to species occurring at the human–animal interface, likely reflecting database deposition bias rather than true reservoir prevalence. Collectively, this study provides a high-confidence, variant-resolved ESBL fingerprint derived from curated public databases, highlights systematic annotation limitations, and supports database-aware interpretation of comparative AMR research within a One Health framework.