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Genetic Characterization of Antibiotic-Resistant spp. and from Healthy Humans and Poultry in Nigeria. | LitMetric

AI Article Synopsis

  • The study investigates antibiotic resistance genes in bacterial species posing risks to human and animal health, focusing on isolates from humans and poultry in Edo state, Nigeria.
  • A total of 61 isolates were tested, revealing that 77% came from human samples and 23% from poultry, with high phenotypic resistance observed across the board.
  • Whole-genome sequencing and phylogenetic analysis showed close genetic relationships among isolates, providing valuable insights into the nature of antibiotic resistance in these bacteria from a One Health perspective.

Article Abstract

spp. poses a significant threat to human and animal health due to their capacity to cause a wide range of infections in both. In this study, resistance genes conferring antibiotic resistance in spp. and isolates from humans and poultry in Edo state, Nigeria, were investigated. In April 2017, 61 spp. isolates were obtained from urine, wounds, nasal and chicken fecal samples. Species identification was carried out by matrix-assisted laser desorption ionization-time of flight mass spectrometry. Antimicrobial susceptibility testing was performed using the Kirby-Bauer method for 16 antibiotics. Whole-genome sequencing was used for characterization of the isolates. The 61 investigated isolates included , , , , and A total of 47 isolates (77%) belonged to human samples and 14 (23%) isolates were collected from poultry samples. All were phenotypically resistant to at least three antimicrobial(s). Multiple resistance determinants were detected in the human and poultry isolates analyzed. Phylogenetic analysis revealed close relatedness among the isolates within each species for , , and , respectively. This study delivered comprehensive genomic insights into antibiotic-resistant species and isolates from human and poultry sources in Edo state, Nigeria, from a One Health perspective.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11350800PMC
http://dx.doi.org/10.3390/antibiotics13080733DOI Listing

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