应用多重 PCR 和全基因组测序对来自撒哈拉以南非洲家禽粪便中的沙门氏菌菌株进行血清分型。
Serotyping of sub-Saharan Africa Salmonella strains isolated from poultry feces using multiplex PCR and whole genome sequencing.
机构信息
Bacterial Epidemiology and Antimicrobial Resistance Research Unit, U.S. National Poultry Research Center, USDA, ARS, Athens, GA, USA.
Laboratoire de Biologie Moléculaire, d'épidémiologie et de surveillance des bactéries et virus transmissibles par les aliments (LaBESTA)/Ecole Doctorale Sciences et Technologies (EDST)/Université Joseph KI-ZERBO, Ouagadougou, Burkina Faso.
出版信息
BMC Microbiol. 2021 Jan 19;21(1):29. doi: 10.1186/s12866-021-02085-6.
BACKGROUND
Salmonella enterica remains a leading cause of food-borne diseases worldwide. Serotype information is important in food safety and public health activities to reduce the burden of salmonellosis. In the current study, two methods were used to determine serotypes of 111 strains of Salmonella isolated from poultry feces in Burkina Faso. First, Salmonella Multiplex Assay for Rapid Typing (SMART) Polymerase Chain Reaction (PCR) was used to determine the serovars of the S. enterica isolates. Second, serovar prediction based on whole genome sequencing (WGS) data was performed using SeqSero 2.0.
RESULTS
Among the 111 Salmonella isolates, serotypes for 17 (15.31%) isolates were identified based on comparison to a panel of representative SMART codes previously determined for the 50 most common serovars in the United States. Forty-four (44) new SMART codes were developed for common and uncommon serotypes. A total of 105 (94.59%) isolates were serotyped using SeqSero 2.0 for serovar prediction based on WGS data.
CONCLUSION
We determined that SeqSero 2.0 was more comprehensive for identifying Salmonella serotypes from Burkina Faso than SMART PCR.
背景
沙门氏菌仍然是全球食源性疾病的主要原因。血清型信息对于食品安全和公共卫生活动非常重要，可以减轻沙门氏菌病的负担。在本研究中，使用两种方法来确定来自布基纳法索家禽粪便中分离的 111 株沙门氏菌的血清型。首先，使用沙门氏菌多重快速分型聚合酶链反应（SMART-PCR）来确定肠沙门氏菌分离株的血清型。其次，使用 SeqSero 2.0 基于全基因组测序（WGS）数据进行血清型预测。
结果
在 111 株沙门氏菌分离株中，通过与先前为美国最常见的 50 种血清型确定的一组代表性 SMART 码进行比较，确定了 17 株（15.31%）分离株的血清型。为常见和不常见的血清型开发了 44 个新的 SMART 码。共有 105 株（94.59%）分离株使用 SeqSero 2.0 根据 WGS 数据进行的血清型预测来进行血清型预测。
结论
我们确定 SeqSero 2.0 比 SMART-PCR 更全面地鉴定了来自布基纳法索的沙门氏菌血清型。
Zotero 插件