ArticleApplied and environmental microbiology2016
Whole-Genome Sequencing Analysis Accurately Predicts Antimicrobial Resistance Phenotypes in Campylobacter spp.
Article in Applied and environmental microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 144 papers.
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144 citing papers in PubMed, 263 citations in OpenAlex.
- Antibiotic-Specific Genotype-Phenotype Concordance and Cross-Database Interoperability in PublicInternational journal of molecular sciences · 2026Article
- Dissemination of antimicrobial resistance in Klebsiella spp. from urban aquatic environments: a multi-country genomic perspective.Journal of advanced research · 2026Article
- Chicken cecal microbial functional gene content and resistome differ by age and barn disinfection practice.Microbiology spectrum · 2026Article
- Genomic Assessment, Metabolic Profile Mapping, and Anti-Helicobacter pylori Activity of Lactococcus lactis SK2-659 from Thai Fermented Green Mustard (Pak-kad-dong).Probiotics and antimicrobial proteins · 2026Article
- Phenotypic and genome-based characterization ofFrontiers in microbiology · 2026Article
- Risk factors for fluoroquinolone- and macrolide-resistance among swine Campylobacter coli using multi-layered chain graphs.PLoS computational biology · 2025Article
- Genomic insights into multidrug - resistant Salmonella enterica isolates from pet dogs and cats.Scientific reports · 2025Article
- Antimicrobial resistance ofApplied and environmental microbiology · 2025Article
- Analysis of antibiotic susceptibility and genomic characteristics of Helicobacter pylori by whole-genome resequencing in Northern China.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025Article
- Genomic epidemiology and genetic characteristics of clinicalAntimicrobial agents and chemotherapy · 2025Article
- Overcoming challenges in metagenomic AMR surveillance with nanopore sequencing: a case study on fluoroquinolone resistance.Frontiers in microbiology · 2025Article
- A One Health approach for the genomic characterization of antibiotic-resistantFrontiers in microbiology · 2025Article
- Antimicrobial susceptibility and resistome ofThe veterinary quarterly · 2024Article
- The point mutation A1387G in the 16S rRNA gene confers aminoglycoside resistance inAntimicrobial agents and chemotherapy · 2024Article
- Review
- Comparison of genotypic and phenotypic antimicrobial resistance profiles ofJournal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2024Article
- Recent development and fighting strategies for lincosamide antibiotic resistance.Clinical microbiology reviews · 2024Review
- Development and proof-of-concept demonstration of a clinical metagenomics method for the rapid detection of bloodstream infection.BMC medical genomics · 2024Article
- Monitoring antimicrobial resistance inEpidemiology and infection · 2024Article
- Identification of knowledge gaps in whole-genome sequence analysis of multi-resistant thermotolerant Campylobacter spp.BMC genomics · 2024Article
84 more citing papers are in PubMed but not listed here.
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The objectives of this study were to identify antimicrobial resistance genotypes for Campylobacter and to evaluate the correlation between resistance phenotypes and genotypes using in vitro antimicrobial susceptibility testing and whole-genome sequencing (WGS). A total of 114 Campylobacter species isolates (82 C. coli and 32 C. jejuni) obtained from 2000 to 2013 from humans, retail meats, and cecal samples from food production animals in the United States as part of the National Antimicrobial Resistance Monitoring System were selected for study. Resistance phenotypes were determined using broth microdilution of nine antimicrobials. Genomic DNA was sequenced using the Illumina MiSeq platform, and resistance genotypes were identified using assembled WGS sequences through blastx analysis. Eighteen resistance genes, including tet(O), blaOXA-61, catA, lnu(C), aph(2″)-Ib, aph(2″)-Ic, aph(2')-If, aph(2″)-Ig, aph(2″)-Ih, aac(6')-Ie-aph(2″)-Ia, aac(6')-Ie-aph(2″)-If, aac(6')-Im, aadE, sat4, ant(6'), aad9, aph(3')-Ic, and aph(3')-IIIa, and mutations in two housekeeping genes (gyrA and 23S rRNA) were identified. There was a high degree of correlation between phenotypic resistance to a given drug and the presence of one or more corresponding resistance genes. Phenotypic and genotypic correlation was 100% for tetracycline, ciprofloxacin/nalidixic acid, and erythromycin, and correlations ranged from 95.4% to 98.7% for gentamicin, azithromycin, clindamycin, and telithromycin. All isolates were susceptible to florfenicol, and no genes associated with florfenicol resistance were detected. There was a strong correlation (99.2%) between resistance genotypes and phenotypes, suggesting that WGS is a reliable indicator of resistance to the nine antimicrobial agents assayed in this study. WGS has the potential to be a powerful tool for antimicrobial resistance surveillance programs.
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