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Ecological prevalence and genomic characterization of Salmonella isolated from selected poultry farms in Jiangxi province, China.

Publication ,  Journal Article
Jiang, X; Siddique, A; Zhu, L; Teng, L; Umar, S; Li, Y; Yue, M
Published in: Poultry science
July 2025

Non-typhoidal Salmonella (NTS), particularly antimicrobial-resistant serovars, remains the major source of foodborne bacterial illnesses. Raw chicken is the leading cause of human salmonellosis. In this study, we evaluated the prevalence, antimicrobial resistance profiles, and genomic features of 143/1,800 (7.94%) Salmonella strains isolated from poultry farms in five major regions of Jiangxi province, China, between 2022 and 2023 using Whole genome sequencing (WGS). Among Salmonella isolates, the most common serovars were Infantis (ST32) and Enteritidis (ST11). Resistance to amoxicillin and tetracycline was the most prevalent, with 60.84% of Salmonella isolates exhibiting a multi-drug resistance (MDR) pattern. The detection of antimicrobial-resistant genes (ARGs) examined was aligned with the resistant phenotypes found. A total of 61 ARGs were identified, with aph(3')-Ia, qnrS1, aph(3'')-Ib, and tetA being the prominent ARGs. Furthermore, 24 beta-lactam genes were also identified, including blaTEM, blaSHV, and blaCTX-M. The number of ARGs and the distribution of serovars varied according to the year, farms, and cities. Salmonella isolates carried 13 heavy metal resistance genes (HMRGs) and two biocide resistance genes, with pcoS being the most prevalent. A total of 145 virulence genes and 19 plasmids were found, with serovars Infantis and Enteritidis having the most virulence genes. The high occurrence of MDR Salmonella in this study, particularly carrying numerous mobile genetic elements (MGEs), posed a serious threat to food safety and public health, emphasizing the need to improve poultry farm hygiene to decrease contamination and transmission.

Duke Scholars

Published In

Poultry science

DOI

EISSN

1525-3171

ISSN

0032-5791

Publication Date

July 2025

Volume

104

Issue

7

Start / End Page

105197

Related Subject Headings

  • Whole Genome Sequencing
  • Salmonella Infections, Animal
  • Salmonella
  • Prevalence
  • Poultry Diseases
  • Genome, Bacterial
  • Farms
  • Drug Resistance, Multiple, Bacterial
  • Drug Resistance, Bacterial
  • Dairy & Animal Science
 

Citation

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Jiang, X., Siddique, A., Zhu, L., Teng, L., Umar, S., Li, Y., & Yue, M. (2025). Ecological prevalence and genomic characterization of Salmonella isolated from selected poultry farms in Jiangxi province, China. Poultry Science, 104(7), 105197. https://doi.org/10.1016/j.psj.2025.105197
Jiang, Xiaowu, Abubakar Siddique, Lexin Zhu, Lin Teng, Sajid Umar, Yan Li, and Min Yue. “Ecological prevalence and genomic characterization of Salmonella isolated from selected poultry farms in Jiangxi province, China.Poultry Science 104, no. 7 (July 2025): 105197. https://doi.org/10.1016/j.psj.2025.105197.
Jiang X, Siddique A, Zhu L, Teng L, Umar S, Li Y, et al. Ecological prevalence and genomic characterization of Salmonella isolated from selected poultry farms in Jiangxi province, China. Poultry science. 2025 Jul;104(7):105197.
Jiang, Xiaowu, et al. “Ecological prevalence and genomic characterization of Salmonella isolated from selected poultry farms in Jiangxi province, China.Poultry Science, vol. 104, no. 7, July 2025, p. 105197. Epmc, doi:10.1016/j.psj.2025.105197.
Jiang X, Siddique A, Zhu L, Teng L, Umar S, Li Y, Yue M. Ecological prevalence and genomic characterization of Salmonella isolated from selected poultry farms in Jiangxi province, China. Poultry science. 2025 Jul;104(7):105197.
Journal cover image

Published In

Poultry science

DOI

EISSN

1525-3171

ISSN

0032-5791

Publication Date

July 2025

Volume

104

Issue

7

Start / End Page

105197

Related Subject Headings

  • Whole Genome Sequencing
  • Salmonella Infections, Animal
  • Salmonella
  • Prevalence
  • Poultry Diseases
  • Genome, Bacterial
  • Farms
  • Drug Resistance, Multiple, Bacterial
  • Drug Resistance, Bacterial
  • Dairy & Animal Science