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Enregistrement W4394012261 · doi:10.1101/2024.04.05.587953

Diversity, functional classification and genotyping of SHV β-lactamases in <i>Klebsiella pneumoniae</i>

2024· preprint· en· W4394012261 sur OpenAlexaff
Kara K. Tsang, Margaret M. C. Lam, Ryan R. Wick, Kelly L. Wyres, Michael A. Bachman, Stephen Baker, Katherine Barry, Sylvain Brisse, Susana Campino, Alexandra Chiaverini, Daniela María Cirillo, Taane G. Clark, Jukka Corander, Marta Corbella, Alessandra Cornacchia, Aline Cuénod, Nicola D’Alterio, Federico Di Marco, Pilar Donado-Godoy, Adrian Egli, Refath Farzana, Edward J. Feil, Aasmund Fostervold, Claire L. Gorrie, Yukino Gütlin, Brekhna Hassan, Marit Andrea Klokkhammer Hetland, Le Nguyen Minh Hoa, Le Thi Hoi, Benjamin P. Howden, Odion O. Ikhimiukor, Adam Jenney, Håkon Kaspersen, Fahad Khokhar, Thongpan Leangapichart, Małgorzata Ligowska-Marzęta, Iren H. Löhr, S. Wesley Long, Amy J. Mathers, Andrew G. McArthur, Geetha Nagaraj, Anderson O. Oaikhena, Iruka N. Okeke, João Perdigão, Hardik I. Parikh, My H. Pham, Francesco Pomilio, Niclas Raffelsberger, Andriniaina Rakotondrasoa, K. L. Ravi Kumar, Leah W. Roberts, Carla Rodrigues, Ørjan Samuelsen, Kirsty Sands, Davide Sassera, Helena M. B. Seth-Smith, Varun Shamanna, Norelle L. Sherry, Sonia Sia, Anton Spadar, Nicole Stoesser, Marianne Sunde, Arnfinn Sundsfjord, Phạm Ngọc Thạch, Nick Thomson, Harry A. Thorpe, M. Estée Török, Van Dinh Trang, Nguyen Vu Trung, Jay Vornhagen, Timothy R. Walsh, Ben Warne, Hayley Wilson, Gerard D. Wright, Kathryn E. Holt

Notice bibliographique

RevuebioRxiv (Cold Spring Harbor Laboratory) · 2024
Typepreprint
Langueen
DomaineEnvironmental Science
ThématiqueBacteriophages and microbial interactions
Établissements canadiensMcMaster University
Organismes subventionnairesEuropean CommissionJoint Programming Initiative on Antimicrobial ResistanceNational Institute for Health and Care ResearchBill and Melinda Gates Foundation
Mots-clésKlebsiella pneumoniaeGenotypingMicrobiologyBiologyKlebsiellaGenetic diversityDiversity (politics)GeneticsGenotypeGeneMedicineEscherichia coliPolitical science

Résumé

récupéré en direct d'OpenAlex

Abstract Interpreting phenotypes of bla SHV alleles in Klebsiella pneumoniae genomes is complex. While 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/amino acid changes is not completely documented or understood. This has led to confusion in the literature and in antimicrobial resistance (AMR) gene databases (e.g., NCBI’s Reference Gene Catalog and the β-lactamase database (BLDB)) over the specific functionality of individual SHV protein variants. Therefore, 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 amino-acid substitutions. We then systematically assigned SHV alleles to functional classes (wildtype, ESBL, BLI-resistant) based on the presence of these mutations. This resulted in the re-classification of 37 SHV alleles compared with current assignments in NCBI’s Reference Gene Catalog and/or BLDB (21 to wildtype, 12 to ESBL, 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 mobilised to plasmids; iv) BLI-resistant variants mostly result from mutations in chromosomal bla SHV . We used matched genome-phenotype data from the KlebNET-GSP Genotype-Phenotype Group to identify 3,999 K. pneumoniae isolates carrying one or more bla SHV alleles but no other acquired β-lactamases, with which we assessed genotype-phenotype relationships for bla SHV . This collection includes human, animal, and environmental isolates collected between 2001 to 2021 from 24 countries across six continents. Our analysis supports that mutations at Ambler sites 238 and 179 confer ESBL activity, while most omega-loop substitutions do not. Our data also provide direct support for wildtype assignment of 67 protein variants, including eight that were noted in public databases as ESBL. We reclassified these eight variants as wildtype, because they lack ESBL-associated mutations, and our phenotype data support susceptibility to 3GCs (SHV-27, SHV-38, SHV-40, SHV-41, SHV-42, SHV-65, SHV-164, SHV-187). The approach and results outlined here have been implemented in Kleborate v2.4.1 (a software tool for genotyping K. pneumoniae from genome assemblies), whereby known and novel bla SHV alleles are classified based on causative mutations. Kleborate v2.4.1 was also 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 understanding of resistance mechanisms. Impact statement Since every K. pneumoniae genome has an intrinsic SHV β-lactamase and may also carry additional mobile forms, the correct interpretation of bla SHV genes detected in genome data can be challenging and can lead to K. pneumoniae being misclassified as ESBL-producing. Here, we use matched K. pneumoniae genome and drug susceptibility data contributed from dozens of studies, together with systematic literature review of experimental evidence, to improve our understanding of bla SHV allele variation and mapping of genotype to phenotype. This study shows the value of coordinated data sharing, in this case via the KlebNET-GSP Genotype-Phenotype Group, to improve our understanding of the evolutionary history and functionality of bla SHV genes. The results are captured in an open-source AMR dictionary utilised by the Kleborate genotyping tool, that could easily be incorporated into or used to update other tools and AMR gene databases. This work is part of the wider efforts of the KlebNET-GSP group to develop and support a unified platform tailored for the analysis and interpretation of K. pneumoniae genomes by a wide range of stakeholders. Data summary Bla SHV allele sequences and class assignments are distributed with Kleborate, v2.4.1, DOI:10.5281/zenodo.10469001. Table S1 provides a summary of bla SHV alleles, including primary accessions, class-modifying mutations, and supporting evidence for class assignments that differ from NCBI’s Reference Gene Catalog or BLDB. Whole genome sequence data are publicly available as reads and/or assemblies, individual accessions are given in Table S2 ; corresponding genotypes and antibiotic susceptibility phenotypes and measurements are available in Tables S3 and S4 , respectively.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,007

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,018
Tête enseignante GPT0,207
Écart entre enseignants0,189 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2024
Routes d'admission1
Résumé présentoui

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