Login / Signup

Genotype diversity and antibiotic resistance risk in Aeromonas hydrophila in Sichuan, China.

Kun PengMengzhu ChenYilin WangZiqi TianLongjun DengTiancai LiYang FengPing OuyangXiaoli HuangDefang ChenGeng Yi
Published in: Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] (2023)
Sichuan is a significant aquaculture province in China, with a total aquaculture output of 1.72 × 10 6 tons in 2022. One of the most significant microorganisms hurting the Sichuan aquaculture is Aeromonas hydrophila, whose genotype and antibiotic resistance are yet unknown. This study isolated a total of 64 strains of A. hydrophila from various regions during September 2019 to June 2021 within Sichuan province, China. The technique of Multi-Locus Sequence Typing (MLST) was used for the purpose of molecular typing. Meanwhile, identification of antibiotic resistance phenotype and antibiotic resistance gene was performed. The findings of the study revealed that 64 isolates exhibited 29 sequence types (ST) throughout different regions in Sichuan, with 25 of these ST types being newly identified. Notably, the ST251 emerged as the predominant sequence type responsible for the pandemic. The resistance rate of isolated strains to roxithromycin was as high as 98.3%, followed by co-trimoxazole (87.5%), sulfafurazole (87.5%), imipenem (80%), amoxicillin (60%), and clindamycin (57.8%). Fifteen strains of A. hydrophila exhibited resistance to medicines across a minimum of three categories, suggesting the development of multidrug resistance in these isolates. A total of 63 ARGs were detected from the isolates, which mediated a range of antibiotic resistance mechanisms, with deactivation and efflux potentially serving as the primary mechanisms of antibiotic resistance. This study revealed the diversity of A. hydrophila genotypes and the risk of antibiotic resistance in Sichuan, providing reference for scientific and effective control of A. hydrophila infection.
Keyphrases
  • escherichia coli
  • genetic diversity
  • sars cov
  • coronavirus disease
  • single cell
  • gene expression
  • transcription factor