Serotyping of sub-Saharan Africa Salmonella strains isolated from poultry feces using multiplex PCR and whole genome sequencing

使用多重 PCR 和全基因组测序对从家禽粪便中分离的撒哈拉以南非洲沙门氏菌菌株进行血清分型

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作者：Assèta Kagambèga, Lari M Hiott, David S Boyle, Elizabeth A McMillan, Poonam Sharma, Sushim K Gupta, Hazem Ramadan, Sohyun Cho, Shaheen B Humayoun, Tiffanie A Woodley, Nicolas Barro, Charlene R Jackson, Jonathan G Frye

期刊：	BMC Microbiology	影响因子：	4.000
时间：	2021	起止号：	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

Conclusion

We determined that SeqSero 2.0 was more comprehensive for identifying Salmonella serotypes from Burkina Faso than SMART PCR.

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.

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