Abstract

Foodborne Pathogens and DiseaseVol. 18, No. 8 IntroductionFree AccessImpacts of Microbial Food Safety in China and BeyondGuest Editors: Min Yue, Li Bai, Houhui Song, and Weihuan FangGuest Editors: Min YueAddress correspondence to: Min Yue, PhD, Institute of Preventive Veterinary Medicine, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, Zhejiang, China E-mail Address: myue@zju.edu.cnDepartment of Veterinary Medicine, Zhejiang University, Hangzhou, China.Search for more papers by this author, Li BaiChina National Center for Food Safety Risk Assessment, Beijing and National Health Commission Key Laboratory of Food Safety Risk Assessment, Beijing, China.Search for more papers by this author, Houhui SongCollege of Veterinary Medicine, Zhejiang A&F University, Hangzhou, China.Search for more papers by this author, and Weihuan FangDepartment of Veterinary Medicine, Zhejiang University, Hangzhou, China.Search for more papers by this authorPublished Online:12 Aug 2021https://doi.org/10.1089/fpd.2021.29015.intAboutSectionsView articleView PDFView PDF Plus ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail View articleMicrobial food safety remains an important issue in China and throughout the world. Great achievements have been made by regulatory agencies, academia, and the food industry in China over the past two decades since the 10th “five-year plan” (2001–2005) from the perspectives of policy reform, technological improvement and innovation, and implementation of relevant regulations. This Foodborne Pathogens and Disease Special Issue on “Food Safety in China: Current Practices and Future Needs” (Yue et al., 2020) aims to provide an overview of the food safety situation in China with particular focus on microbial hazards—prevalence, novel technologies for detection and control, and future challenges. Developing countries or regions of the world with dramatic socioeconomic transformation could likely benefit from the knowledge and experience gained in China.Food safety due to microbial pathogens became one of the main issues of concern in China in the early 2000s. Regulatory agencies have worked closely with academic institutions in understanding prevalence of major foodborne pathogens in different categories of food as well as in developing infrastructures across the country, proposing guidelines for risk assessment and control along the food chain, and formulating national reference standards (methods, limits, etc.). All these efforts have contributed significantly to the development of a food safety system that is similar to those already in place in many Western countries. In this special issue, He and Shi (2021) provided a general review on these advances. During this period, China National Centre for Food Safety Risk Assessment (CFSA) and academic partners established national reference standards for microbiological contaminants (Chen et al., 2021) and built foodborne pathogens surveillance system at national and regional levels for recognition of microbial hazards (Li et al., 2021a). Since 2013, the Chinese Foodborne Disease Surveillance Network has started to adopt the whole-genome sequencing (WGS) approach as the routine toolkit for outbreak investigation and source tracking (Li et al., 2021a). A few Chinese groups used a local integrated WGS infrastructure for foodborne outbreak investigation, including an outbreak caused by Salmonella Enteritidis in this issue (Deng et al., 2021) and by a few other well-recognized pathogens (Chen et al., 2020; Elbediwi et al.2021; Hua et al.2021; Jiang et al., 2020; Wang et al. 2021; Wu et al.2021; Xu et al.2020; Yu et al., 2020).Over the past 20 years, we have witnessed an increasing number of publications authored by Chinese scientists in peer-reviewed international journals in the field of foodborne pathogens, diseases, and public health. However, knowledge essential for policy makers and those in the food sector regarding the transmission dynamics and contributing factors of foodborne pathogens along the food chain and foodborne disease burden is still largely unknown (Paudyal et al., 2018). In this issue, Dr. Dong's laboratory provided an online freeware for predictive microbiologists to understand practical information for controlling factors in foods and responses of pathogenic and spoilage microorganisms (Liu et al., 2021c). Notably, Zhang et al. (2021) applied cutting-edge machine learning to set up a model for identifying suspected outbreaks using data generated by Foodborne Disease Monitoring Reporting System of CFSA. This study has implications for using available data to inform confounding factors of foodborne disease outbreaks, which are largely underreported in China as with other parts of the world.For mitigation of pathogens in foods, Song, et al. reported using a bacteriophage holin HolGH15 as control measurement for reducing Listeria monocytogenes in foods (Song et al., 2021). Hu et al. (2021a) showed new insight into the mechanism of antimicrobial blue light on bacterial outer membrane compartment such as lipopolysaccharide for its bactericidal action. There are also emerging issues such as transmission of antimicrobial resistance through the food chain and control strategies (Lim and Grohn, 2021).Disparity of prevalence data for risk ranking in different regions in China as a vast country is another formidable issue. In many regions of China, surveillance data are scare. Hu et al. (2021b) characterized Shiga toxin–producing Escherichia coli from beef samples in eight provinces representing different regions of China, and others provided the latest information on prevalence of foodborne pathogens across the food production chain (Liu et al., 2021a, b, d; Su et al., 2021). Efforts should continue for regions where there is still a paucity of prevalence data on major pathogens in common food products therefore proper control strategies. Last but certainly not least, continuing attention should be paid to food safety education and the role of social media in food safety science dissemination as well as training of next-generation safeguarders and those of all sectors involved in food operation (Chen and Feng, 2021).Looking ahead to the next decade and beyond, we envisage a better-structured surveillance system covering the countryside and remote areas across the vast country; enhanced cooperation among policy makers, regulatory agencies, and academic researchers and educators; more guidelines for production of safe foods along the chain; and more proactive measures to be taken by the food industry to protect consumer safety and health. These further endeavors will play a significant part in realizing the goals of the Healthy China 2030 Plan adopted in August, 2016.AcknowledgmentsWe thank all authors who submitted articles to be considered for this special issue.Disclosure StatementNo competing financial interests exist.Funding InformationDr. Min Yue's projects were supported by the National Program on Key Research Project of China (2019YFE0103900 & 2017YFC1600103) as well as the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No. 861917 — SAFFI.ReferencesChen H, Dai Y, Chen J, et al. Epidemiological and whole genomic sequencing analysis of a Campylobacter jejuni outbreak in Zhejiang province, China, May 2019. Foodborne Pathog Dis 2020;17:775–781. Link, Google ScholarChen H, Feng Y. Moving forward to the future: A review of microbial food safety education in China. Foodborne Pathog Dis 2021;18:547–566. Abstract, Google ScholarChen X, Lyu H, Zhang J, et al. National food safety standards related to microbiological contaminants in China: Recent progress and challenges. Foodborne Pathog Dis 2021;18:528–537. Abstract, Google ScholarDeng Y, Jiang M, Kwan PSL, et al. Integrated whole-genome sequencing infrastructure for outbreak detection and source tracing of Salmonella enterica serotype Enteritidis. Foodborne Pathog Dis 2021;18:582–589. Abstract, Google ScholarElbediwi M, Tang Y, Shi D, et al. Genomic investigation of antimicrobial-resistant Salmonella enterica isolates from dead chick embryos in China. Front Microbiol 2021; DOI: 10.3389/fmicb.2021.684400. Crossref, Google ScholarHe S, Shi X. Microbial food safety in China: Past, present and future. Foodborne Pathog Dis 2021;18:510–518. Abstract, Google ScholarHu X, Zhang X, Luo S, et al. Enhanced Sensitivity of Salmonella to antimicrobial blue light caused by inactivation of FQ312003.1 gene involved in lipopolysaccharide synthesis. Foodborne Pathog Dis 2021a;18:599–606. Abstract, Google ScholarHu Y, Cui G, Fan Y, et al. Isolation and characterization of Shiga toxin-producing Escherichia coli from retail beef samples, China. Foodborne Pathog Dis 2021b;18:616–625. Abstract, Google ScholarHua Y, Chromek M, Frykman A, et al. Whole-genome characterization of hemolytic uremic syndrome-causing Shiga toxin-producing Escherichia coli in Sweden. Virulence 2021;12:1296–1305. Crossref, Medline, Google ScholarJiang M, Zhu F, Yang C, et al. Whole-genome analysis of Salmonella enterica Serovar Enteritidis Isolates in outbreak linked to online food delivery, Shenzhen, China, 2018. Emerg Infect Dis 2020;26:789–792. Crossref, Medline, Google ScholarLi W, Cui Q, Bai L, et al. Application of whole-genome sequencing in the National Molecular Tracing Network for Foodborne Disease Surveillance in China. Foodborne Pathog Dis 2021a;18:538–546. Link, Google ScholarLi Y, Pei X, Bai L, et al. The China national foodborne pathogens surveillance system: Twenty years of experience and achievements. Foodborne Pathog Dis 2021b;18:519–527. Google ScholarLim MSM, Grohn YT. Comparison of China's and the European Union's approaches to antimicrobial stewardship in the pork industry. Foodborne Pathog Dis 2021;18:567–573. Abstract, Google ScholarLiu Y, Jiang J, Ed-Dra A, et al. Prevalence and genomic investigation of Salmonella isolates recovered from animal food-chain in Xinjiang, China. Food Res Int 2021a;142:110198. Google ScholarLiu Y, Li H, Chen X, et al. Characterization of Shiga toxin-producing Escherichia coli isolated from cattle and sheep in Xinjiang province, China, using whole-genome sequencing. Transbound Emerg Dis 2021b; [Epub ahead of print]; DOI: 10.1111/tbed.13999. Crossref, Google ScholarLiu Y, Wang X, Liu B, et al. Microrisk Lab: An online freeware for predictive microbiology. Foodborne Pathog Dis 2021c;18:607–615. Google ScholarLiu Y, Zheng X, Xu L, et al. Prevalence, antimicrobial resistance, and molecular characterization of Staphylococcus aureus ssolated from animals, meats, and market environments in Xinjiang, China. Foodborne Pathog Dis 2021d [Epub ahead of print]; DOI: 10.1089/fpd.2020.2863. Link, Google ScholarPaudyal N, Pan H, Liao X, et al. A meta-analysis of major foodborne pathogens in Chinese food commodities between 2006 and 2016. Foodborne Pathog Dis 2018;15:187–197. Link, Google ScholarSong J, Niu W, Wu R, et al. The Phage holin HolGH15 exhibits potential as an antibacterial agent to control Listeria monocytogenes. Foodborne Pathog Dis 2021;18:574–581. Abstract, Google ScholarSu Z, Zhang L, Sun H, et al. Characterization of non-O157 Shiga toxin-producing Escherichia coli cultured from cattle farms in Xinjiang Uygur Autonomous Region, China, during 2016–2017. Foodborne Pathog Dis 2021 [Epub ahead of print]; DOI: 10.1089/fpd.2020.2843. Link, Google ScholarWang Y, Lei C, Liu S, et al. Tracking Salmonella enterica by whole genome sequencing of isolates recovered from broiler chickens in a poultry production system. Int J Food Microbiol 2021;350:109246. Crossref, Medline, Google ScholarWu B, Ed-Dra A, Pan H, et al. Genomic investigation of Salmonella isolates recovered from a pig slaughtering process in Hangzhou, China. Front Microbiol 2021;12:704036. DOI: 10.3389/fmicb.2021.704636. Crossref, Google ScholarXu X, Chen Y, Pan H, et al. Genomic characterization of Salmonella Uzaramo for human invasive infection. Microb Genom 2020;6. DOI: 10.1099/mgen.0.000401. Crossref, Google ScholarYu H, Elbediwi M, Zhou X, et al. Epidemiological and genomic characterization of Campylobacter jejuni isolates from a foodborne outbreak at hangzhou, China. Int J Mol Sci 2020;21:3001. Crossref, Google ScholarYue M, Song H, Bai L. Call for special issue papers: Food safety in China: Current practices and future needs. Foodborne Pathog Dis 2020;17:295. Link, Google ScholarZhang P, Cui W, Wang H, Du Y, Zhou Y. High-efficiency machine learning method for identifying foodborne disease outbreaks and confounding factors. Foodborne Pathog Dis 2021;18:590–598. Abstract, Google ScholarFiguresReferencesRelatedDetails Volume 18Issue 8Aug 2021 InformationCopyright 2021, Mary Ann Liebert, Inc., publishersTo cite this article:Guest Editors: Min Yue, Li Bai, Houhui Song, and Weihuan Fang.Foodborne Pathogens and Disease.Aug 2021.508-509.http://doi.org/10.1089/fpd.2021.29015.intPublished in Volume: 18 Issue 8: August 12, 2021

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