Whole-Genome Analysis of Salmonella enterica Serovar Enteritidis Isolates in Outbreak Linked to Online Food Delivery, Shenzhen, China, 2018
Min Jiang
1, Feng Zhu
1, Chao Yang
1, Yinhua Deng, Patrick S.L. Kwan, Yinghui Li, Yiman Lin, Yaqun Qiu, Xiaolu Shi, Hui Chen, Yujun Cui
2, and Qinghua Hu
2
Author affiliations: Shenzhen Center for Disease Control and Prevention, Shenzhen, China (M. Jiang, C. Yang, P.S.L. Kwan, Y. Li, Y. Lin, Y. Qiu, X. Shi, Q. Hu); Nanshan District Center for Disease Control and Prevention, Shenzhen (F. Zhu, H. Chen); State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China (C. Yang, Y. Cui); College of Life Science, Sichuan University, Sichuan, China (Y. Deng)
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Figure
Figure. Clustering of 19 outbreak and sporadic Salmonella enterica serovar Enteritidis isolates from an outbreak linked to online food delivery, Shenzhen, China, 2018. Clusters were inferred by constructing a maximum-likelihood tree based on 300 genomewide SNPs. Isolation dates are provided in parentheses adjacent to isolate numbers; reference genome P125109 was used for SNP calling. Scale bar indicates nucleotide substitutions per site. SNPs, single-nucleotide polymorphisms.
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