Characterisation of novel strains of multiply antibiotic-resistant Salmonella recovered from poultry in Southern Senegal
Characterisation of novel strains of multiply antibiotic-resistant Salmonella recovered from poultry in Southern Senegal
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DOI：
10.3855/jidc.1530
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发表时间：
2012-05-01
影响因子：
1.9
通讯作者：
Antonio, Martin
中科院分区：
文献类型：
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作者：
Dione, Michel M.;Geerts, Stanny;Antonio, Martin
家禽和家禽产品中的非伤寒沙门氏菌（NTS）污染是人类食源性疾病的主要原因。本研究报道了从塞内加尔家禽中分离的NTS的分子流行病学。方法：采用随机多态性DNA扩增（RAPD）和多位点序列分型（MLST）技术对从肉鸡养殖场、鸡胴体和街头小贩中回收的261只NTS进行鉴定。结果：我们观察到20种不同的RAPD谱对应于18种不同的血清型。利用MLST对这20组菌株进行进一步分析。结果发现12个新的MLST等位基因和17个新的序列类型。三种序列类型（S. Kentucky ST198、S. Agona ST13和S. Istanbul ST33）先前已在塞内加尔和其他国家被描述，这表明这些克隆在地理上分布广泛，并在广泛的宿主中传播。9个克隆对人类和动物中最常用的抗生素显示多重耐药性。然而，发现了一种新的具有多重抗性的S. Kentucky ST832克隆。结论：本研究对塞内加尔NTS的遗传多样性有新的认识。通过追踪感染和/或污染源，分子工具对于提高我们对NTS流行病学的理解仍然至关重要。
Introduction: Non-typhoidal Salmonella (NTS) contamination in poultry and poultry products is a major cause of food-borne disease in humans. This study presents the molecular epidemiology of NTS isolated from poultry in Senegal.Methodology: A total of 261 NTS recovered from broiler farms, chicken carcasses and street vendors were characterized using random amplification of polymorphic DNA (RAPD) and multilocus sequence typing (MLST) techniques.Results: We observed 20 distinct RAPD profiles corresponding to 18 different serotypes. Strains from each of these 20 groups were further analysed using MLST. Consequently, 12 new MLST alleles and 17 new sequence types were discovered. Three sequence types (S. Kentucky ST198, S. Agona ST13 and S. Istanbul ST33) have previously been described in Senegal and other countries, suggesting that these clones are geographically widely distributed and are circulating in a wide range of hosts. Nine clones showed multi-resistance to the most commonly used antibiotics in both humans and animals. However, a novel multi-resistant clone of S. Kentucky ST832 was found.Conclusion: This study gives new insights into the genetic diversity of NTS in Senegal. Molecular tools remain essential to improve our understanding of the epidemiology of NTS by tracking the sources of infection and/or contamination.