Genomic and resistome analysis of Salmonella enterica isolates from retail markets in Yichun city, China

被引:0
|
作者
Jiang, Xiaowu [1 ,2 ]
Siddique, Abubakar [3 ,4 ,5 ]
Chen, Li [1 ]
Zhu, Lexin [1 ]
Zhou, Haiyang [3 ,4 ,5 ]
Na, Li [3 ,4 ]
Jia, Chenghao [3 ,4 ,5 ]
Li, Yan [3 ,4 ,5 ]
Yue, Min [3 ,4 ,5 ,6 ]
机构
[1] Yichun Univ, Coll Med, 576 Xuefu Rd, Yichun 336000, Jiangxi, Peoples R China
[2] Poster Doctoral Res Ctr, Jiangxi Prov Key Lab Act Component Nat Drugs, Yichun 336000, Jiangxi, Peoples R China
[3] Zhejiang Univ, Coll Anim Sci, Inst Prevent Vet Sci, Hangzhou 310058, Peoples R China
[4] Zhejiang Univ, Dept Vet Med, Coll Anim Sci, Hangzhou 310058, Peoples R China
[5] Zhejiang Univ, Hainan Inst, Sanya 572000, Peoples R China
[6] Zhejiang Prov Key Lab Prevent Vet Med, Hangzhou 310058, Peoples R China
基金
欧盟地平线“2020”;
关键词
Salmonella; Pork; Retail environment; Resistome; One health; ANTIMICROBIAL RESISTANCE; PREVALENCE; FOOD; EVOLUTION; SEROVARS;
D O I
10.1016/j.onehlt.2025.100967
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Nontyphoidal Salmonella (NTS) causes global outbreaks of foodborne disease. The main source of Salmonella for humans is animal-borne foods; however, the monitoring of Salmonella in the food chain via genomic platforms was limited in China. This study evaluated the prevalence, resistome, and virulome diversity of Salmonella strains identified from pork, retail environment, aquatic products, and poultry eggs of retail markets in Yichun city, Jiangxi province. The overall incidence of Salmonella was 9.4 %, with a higher contamination rate observed in pork at 13.5 %, followed by the retail environment at 7.69 %. The genomic analysis of the isolates revealed a total of fifteen distinct serovars, with serovar Enteritidis being the most prevalent (64.3 %). The phenotypic resistance analysis conducted by the broth microdilution method, revealed that 81.12 % of the isolates exhibited multidrug resistance (MDR), with high resistance to trimethoprim/sulphonamides (100 %), followed by tetracycline (99.3 %) and streptomycin (99.3 %). Genotypic analysis of antimicrobial resistance identified 80 antimicrobial-resistant genes (ARGs), with mdf(A), aph(3 ')-Ib, tet(A), dfrA12, floR, blaTEM-1B, qnrS3, and sul2, conferring resistance to different antimicrobial classes, being the predominant ARGs. Additionally, forty ESBL genes, particularly critical genes such as blaCTX-M and blaNDM-1, were also identified in Salmonella isolates. The IncR, IncFIB (K), and IncX1 plasmid replicons were widely prevalent and served as significant reservoirs of horizontally acquired foreign genes. Moreover, key virulence genes such as cdtB, lpf and sef were also detected, in addition to Salmonella pathogenicity islands SPI-1 and SPI-2. This study reveals the prevalence of multidrugresistant and virulent strains of Salmonella serovars in the markets of Yichuan city, posing a risk of human infections. The gained knowledge provided essential baseline information that may be utilized for regular tracking of MDR Salmonella transmission in the food chain to minimize potential future outbreaks.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] Enumeration and Characterization of Salmonella Isolates from Retail Chicken Carcasses in Beijing, China
    Wang, Yeru
    Chen, Qian
    Cui, Shenghui
    Xu, Xiao
    Zhu, Jianghui
    Luo, Haipeng
    Wang, Di
    Li, Fengqin
    FOODBORNE PATHOGENS AND DISEASE, 2014, 11 (02) : 126 - 132
  • [22] Evolution and genomic profile of Salmonella enterica serovar Gallinarum biovar Pullorum isolates from Brazil
    Kipper, Diessy
    De Carli, Silvia
    Zanetti, Nathalie de Souza
    Mascitti, Andrea Karoline
    Kazantzi Fonseca, Andre Salvador
    Ikuta, Nilo
    Lunge, Vagner Ricardo
    AVIAN DISEASES, 2024, 68 (01) : 2 - 9
  • [23] Distribution and Molecular Characterization of Salmonella enterica Hypermutators in Retail Food in China
    Wang, Yin
    Liu, Chongyang
    Zhang, Zengfeng
    Hu, Yuanyuan
    Cao, Chenyang
    Wang, Xin
    Xi, Meili
    Xia, Xiaodong
    Yang, Baowei
    Meng, Jianghong
    JOURNAL OF FOOD PROTECTION, 2015, 78 (08) : 1481 - 1487
  • [24] Comparative Genomic Analysis of the Virulence Plasmid from Salmonella enterica Subspecies enterica Serovar Enteritidis
    A. V. Rakov
    F. N. Shubin
    Russian Journal of Genetics, 2019, 55 : 144 - 153
  • [25] Comparative Genomic Analysis of the Virulence Plasmid from Salmonella enterica Subspecies enterica Serovar Enteritidis
    Rakov, A. V.
    Shubin, F. N.
    RUSSIAN JOURNAL OF GENETICS, 2019, 55 (02) : 144 - 153
  • [26] Prevalence and Antimicrobial Resistance of Salmonella Isolates from Chicken Carcasses in Retail Markets in Yangon, Myanmar
    Moe, Aung Zaw
    Paulsen, Peter
    Pichpol, Duangporn
    Fries, Reinhard
    Irsigler, Herlinde
    Baumann, Maximilian P. O.
    OO, Kyaw Naing
    JOURNAL OF FOOD PROTECTION, 2017, 80 (06) : 947 - 951
  • [27] Identification of Salmonella enterica subsp. enterica serovar Paratyphi B dT+ strains from seafood of Cochin retail markets
    Greeshma, S. S.
    Pillai, Devika
    Sebastian, Mathew
    Prinetha, U.
    Joseph, Toms C.
    FISHERY TECHNOLOGY, 2021, 58 (03): : 187 - 189
  • [28] Genomic characterisation of Salmonella enterica serovar Wangata isolates obtained from different sources reveals low genomic diversity
    Simpson, Kelly M. J.
    Mor, Siobhan M.
    Ward, Michael P.
    Collins, Julie
    Flint, James
    Hill-Cawthorne, Grant A.
    Ghany, Moataz Abd El
    PLOS ONE, 2020, 15 (02): : e0229697
  • [29] Antimicrobial Resistance in Salmonella enterica Serovar Heidelberg Isolates from Retail Meats, Including Poultry, from 2002 to 2006
    Zhao, S.
    White, D. G.
    Friedman, S. L.
    Glenn, A.
    Blickenstaff, K.
    Ayers, S. L.
    Abbott, J. W.
    Hall-Robinson, E.
    McDermott, P. F.
    APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2008, 74 (21) : 6656 - 6662
  • [30] Antimicrobial resistance and genetic characterisation of Salmonella enterica from retail poultry meats in Benin City, Nigeria
    Igbinosa, Etinosa O.
    Beshiru, Abeni
    Igbinosa, Isoken H.
    Okoh, Anthony I.
    LWT-FOOD SCIENCE AND TECHNOLOGY, 2022, 169