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Zhu J, Liu Q, Li L, Zhang R, Chang Y, Zhao J, Liu S, Zhao X, Chen X, Sun Y, Zhao Q. Nanobodies against African swine fever virus p72 and CD2v proteins as reagents for developing two cELISAs to detect viral antibodies. Virol Sin 2024; 39:478-489. [PMID: 38588947 PMCID: PMC11280129 DOI: 10.1016/j.virs.2024.04.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 04/01/2024] [Indexed: 04/10/2024] Open
Abstract
African swine fever virus (ASFV) poses a significant threat to the global swine industry. Currently, there are no effective vaccines or treatments available to combat ASFV infection in pigs. The primary means of controlling the spread of the disease is through rapid detection and subsequent elimination of infected pig. Recently, a lower virulent ASFV isolate with a deleted EP402R gene (CD2v-deleted) has been reported in China, which further complicates the control of ASFV infection in pig farms. Furthermore, an EP402R-deleted ASFV variant has been developed as a potential live attenuated vaccine candidate strain. Therefore, it is crucial to develop detection methods that can distinguish wild-type and EP402R-deleted ASFV infections. In this study, two recombinant ASFV-p72 and -CD2v proteins were expressed using a prokaryotic system and used to immunize Bactrian camels. Subsequently, eight nanobodies against ASFV-p72 and ten nanobodies against ASFV-CD2v were screened. Following the production of these nanobodies with horse radish peroxidase (HRP) fusion proteins, the ASFV-p72-Nb2-HRP and ASFV-CD2v-Nb22-HRP fusions were selected for the development of two competitive ELISAs (cELISAs) to detect anti-ASFV antibodies. The two cELISAs exhibited high sensitivity, good specificity, repeatability, and stability. The coincidence rate between the two cELISAs and commercial ELISA kits was 98.6% and 97.6%, respectively. Collectively, the two cELISA for detecting antibodies against ASFV demonstrated ease of operation, a low cost, and a simple production process. The two cELISAs could determine whether pigs were infected with wild-type or CD2v-deleted ASFV, and could play an important role in monitoring ASFV infections in pig farms.
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Affiliation(s)
- Jiahong Zhu
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling Observing and Experimental Station of National Data Center of Animal Health, Ministry of Agriculture, Yangling, 712100, China
| | - Qingyuan Liu
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling Observing and Experimental Station of National Data Center of Animal Health, Ministry of Agriculture, Yangling, 712100, China
| | - Liuya Li
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling Observing and Experimental Station of National Data Center of Animal Health, Ministry of Agriculture, Yangling, 712100, China
| | - Runyu Zhang
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling Observing and Experimental Station of National Data Center of Animal Health, Ministry of Agriculture, Yangling, 712100, China
| | - Yueting Chang
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling Observing and Experimental Station of National Data Center of Animal Health, Ministry of Agriculture, Yangling, 712100, China
| | - Jiakai Zhao
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling Observing and Experimental Station of National Data Center of Animal Health, Ministry of Agriculture, Yangling, 712100, China
| | - Siyu Liu
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling Observing and Experimental Station of National Data Center of Animal Health, Ministry of Agriculture, Yangling, 712100, China
| | - Xinyu Zhao
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling Observing and Experimental Station of National Data Center of Animal Health, Ministry of Agriculture, Yangling, 712100, China
| | - Xu Chen
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling Observing and Experimental Station of National Data Center of Animal Health, Ministry of Agriculture, Yangling, 712100, China
| | - Yani Sun
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling Observing and Experimental Station of National Data Center of Animal Health, Ministry of Agriculture, Yangling, 712100, China.
| | - Qin Zhao
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling Observing and Experimental Station of National Data Center of Animal Health, Ministry of Agriculture, Yangling, 712100, China.
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Zhu H, Wang G, Liu X, Wu W, Yu T, Zhang W, Liu X, Cheng G, Wei L, Ni L, Peng Z, Li X, Xu D, Qian P, Chen P. Establishment and application of a quadruplex real-time RT-qPCR assay for differentiation of TGEV, PEDV, PDCoV, and PoRVA. Microb Pathog 2024; 191:106646. [PMID: 38631414 DOI: 10.1016/j.micpath.2024.106646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 04/02/2024] [Accepted: 04/13/2024] [Indexed: 04/19/2024]
Abstract
Porcine viral diarrhea is a common ailment in clinical settings, causing significant economic losses to the swine industry. Notable culprits behind porcine viral diarrhea encompass transmissible gastroenteritis virus (TGEV), porcine epidemic diarrhea virus (PEDV), porcine deltacoronavirus (PDCoV), and porcine rotavirus-A (PoRVA). Co-infections involving the viruses are a common occurrence in clinical settings, thereby amplifying the complexities associated with differential diagnosis. As a consequence, it is therefore necessary to develop a method that can detect and differentiate all four porcine diarrhea viruses (TGEV, PEDV, PDCoV, and PoRVA) with a high sensitivity and specificity. Presently, polymerase chain reaction (PCR) is the go-to method for pathogen detection. In comparison to conventional PCR, TaqMan real-time PCR offers heightened sensitivity, superior specificity, and enhanced accuracy. This study aimed to develop a quadruplex real-time RT-qPCR assay, utilizing TaqMan probes, for the distinctive detection of TGEV, PEDV, PDCoV, and PoRVA. The quadruplex real-time RT-qPCR assay, as devised in this study, exhibited the capacity to avoid the detection of unrelated pathogens and demonstrated commendable specificity, sensitivity, repeatability, and reproducibility, boasting a limit of detection (LOD) of 27 copies/μL. In a comparative analysis involving 5483 clinical samples, the results from the commercial RT-qPCR kit and the quadruplex RT-qPCR for TGEV, PEDV, PDCoV, and PoRVA detection were entirely consistent. Following sample collection from October to March in Guangxi Zhuang Autonomous Region, we assessed the prevalence of TGEV, PEDV, PDCoV, and PoRVA in piglet diarrhea samples, revealing positive detection rates of 0.2 % (11/5483), 8.82 % (485/5483), 1.22 % (67/5483), and 4.94 % (271/5483), respectively. The co-infection rates of PEDV/PoRVA, PEDV/PDCoV, TGEV/PED/PoRVA, and PDCoV/PoRVA were 0.39 %, 0.11 %, 0.01 %, and 0.03 %, respectively, with no detection of other co-infections, as determined by the quadruplex real-time RT-qPCR. This research not only established a valuable tool for the simultaneous differentiation of TGEV, PEDV, PDCoV, and PoRVA in practical applications but also provided crucial insights into the prevalence of these viral pathogens causing diarrhea in Guangxi.
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Affiliation(s)
- Hechao Zhu
- Guangxi Yangxiang Co., LTD, Guigang, 537100, China; National Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Geng Wang
- Guangxi Yangxiang Co., LTD, Guigang, 537100, China
| | - Xiangzu Liu
- National Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, Hubei, China; College of Animal Science & Technology, Collegel of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Wenqing Wu
- National Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, Hubei, China; College of Animal Science & Technology, Collegel of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Teng Yu
- Guangxi Yangxiang Co., LTD, Guigang, 537100, China
| | | | - Xiangdong Liu
- Guangxi Yangxiang Co., LTD, Guigang, 537100, China; College of Animal Science & Technology, Collegel of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Guofu Cheng
- College of Animal Science & Technology, Collegel of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Liuqing Wei
- National Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Lumei Ni
- Guangxi Yangxiang Co., LTD, Guigang, 537100, China
| | - Zhong Peng
- College of Animal Science & Technology, Collegel of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Xiangmin Li
- College of Animal Science & Technology, Collegel of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Dequan Xu
- College of Animal Science & Technology, Collegel of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Ping Qian
- National Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, Hubei, China; College of Animal Science & Technology, Collegel of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Pin Chen
- College of Animal Science & Technology, Collegel of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
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Wang Z, Wang Y, Zhang Y, Qin G, Sun W, Wang A, Wang Y, Zhang G, Zhao J. On-site detection and differentiation of African swine fever virus variants using an orthogonal CRISPR-Cas12b/Cas13a-based assay. iScience 2024; 27:109050. [PMID: 38571763 PMCID: PMC10987800 DOI: 10.1016/j.isci.2024.109050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 12/14/2023] [Accepted: 01/23/2024] [Indexed: 04/05/2024] Open
Abstract
The African swine fever virus (ASFV) and its variants have induced substantial economic losses in China, prompting a critical need for efficient detection methods. Several PCR-based methods have been developed to discriminate between wild-type ASFV and gene-deleted variants. However, the requirement for sophisticated equipment and skilled operators limits their use in field settings. Here, we developed a CRISPR-Cas12b/Cas13a-based detection assay that can identify ASFV variants with minimal equipment requirements and a short turnaround time. The assay utilizes the distinct DNA/RNA collateral cleavage preferences of Cas12b/Cas13a to detect two amplified targets from multiplex recombinase polymerase amplification (RPA) in a single tube, and the results can be visualized through fluorescent or lateral-flow readouts. When tested with clinical samples in field settings, our assay successfully detected all ASFV-positive samples in less than 60 min. This assay provides a rapid on-site surveillance tool for detecting ASFV and its emerging variants.
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Affiliation(s)
- Zhe Wang
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China
- Longhu Laboratory, Zhengzhou 450046, China
- Henan Key Laboratory of Immunobiology, Zhengzhou 450001, China
| | - Yu Wang
- Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Science, Beijing 100101, China
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ying Zhang
- Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Science, Beijing 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
| | - Guosong Qin
- Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Science, Beijing 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
| | - Wenbo Sun
- Shandong Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China
| | - Aiping Wang
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China
- Longhu Laboratory, Zhengzhou 450046, China
- Henan Key Laboratory of Immunobiology, Zhengzhou 450001, China
| | - Yanfang Wang
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Gaiping Zhang
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China
- Longhu Laboratory, Zhengzhou 450046, China
- Henan Key Laboratory of Immunobiology, Zhengzhou 450001, China
- School of Advanced Agricultural Sciences, Peking University, Beijing 100871, China
| | - Jianguo Zhao
- Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Science, Beijing 100101, China
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing 100049, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
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Song W, Feng Y, Zhang J, Kong D, Fan J, Zhao M, Hua L, Xiang J, Tang X, Xiao S, Peng Z, Wu B. Development of a multiplex reverse transcription-quantitative PCR (qPCR) method for detecting common causative agents of swine viral diarrhea in China. Porcine Health Manag 2024; 10:12. [PMID: 38444040 PMCID: PMC10916220 DOI: 10.1186/s40813-024-00364-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 02/25/2024] [Indexed: 03/07/2024] Open
Abstract
BACKGROUND Diarrheal diseases caused by viral agents have led to a great morbidity, mortality, and economic loss in global pig industry. Porcine epidemic diarrhea virus (PEDV), transmissible gastroenteritis virus (TGEV), porcine deltacoronavirus (PDCoV), and group A porcine rotavirus (RVA) are main causative agents of swine viral diarrhea with similar clinical signs on Chinese farms and their co-infection is also common. However, it is still lack of a convenient method to detect these four agents. METHODS A TaqMan multiplex qPCR method was developed to detect PEDV, TGEV, PDCoV, and RVA, simultaneously. This method was then applied to investigate 7,342 swine fecal samples or rectal swabs, as well as 1,246 swine intestinal samples collected from 2075 farms in China in 2022. RESULTS Minimum detection limits of this method were 3 copies/µL for PEDV, 4 copies/µL for TGEV, 8 copies/µL for RVA, and 8 copies/µL for PDCoV, suggesting a good sensitivity. No signals were observed by using this method detecting other viral agents commonly prevalent in pigs, which is suggestive of a good specificity. Application of this method on investigating clinical samples demonstrated a relatively high positive rate for PEDV (22.21%, 1907/8588) and RVA (44.00%, 3779/8588). In addition, co-infection between PEDV and RVA was observed on 360 investigated farms, accounting for 17.35% (360/2075) of the farms where co-infection events were screened. CONCLUSIONS A TaqMan multiplex qPCR method targeting PEDV, TGEV, PDCoV, and RVA was developed in this study. This method demonstrated a good specificity and sensitivity on investigating these four common viruses responsible for viral diarrhea on Chinese pig farms, which represents a convenient method for the monitoring and differential diagnosis of swine viral diarrhea.
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Affiliation(s)
- Wenbo Song
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, 430070, Wuhan, China
- Hubei Hongshan Laboratory, 430070, Wuhan, China
- Frontiers Science Center for Animal Breeding and Sustainable Production, The Cooperative Innovation Center for Sustainable Pig Production, 430070, Wuhan, China
| | - Yixue Feng
- Animal Disease Diagnosis Center of Wuhan Keqian Biology Co., Ltd, 430070, Wuhan, China
| | - Jiali Zhang
- Animal Disease Diagnosis Center of Wuhan Keqian Biology Co., Ltd, 430070, Wuhan, China
| | - Danni Kong
- Animal Disease Diagnosis Center of Wuhan Keqian Biology Co., Ltd, 430070, Wuhan, China
| | - Jie Fan
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, 430070, Wuhan, China
- Hubei Hongshan Laboratory, 430070, Wuhan, China
- Frontiers Science Center for Animal Breeding and Sustainable Production, The Cooperative Innovation Center for Sustainable Pig Production, 430070, Wuhan, China
| | - Mengfei Zhao
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, 430070, Wuhan, China
- Hubei Hongshan Laboratory, 430070, Wuhan, China
- Frontiers Science Center for Animal Breeding and Sustainable Production, The Cooperative Innovation Center for Sustainable Pig Production, 430070, Wuhan, China
| | - Lin Hua
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, 430070, Wuhan, China
- Hubei Hongshan Laboratory, 430070, Wuhan, China
- Frontiers Science Center for Animal Breeding and Sustainable Production, The Cooperative Innovation Center for Sustainable Pig Production, 430070, Wuhan, China
| | - Jinmei Xiang
- Hubei Vocational College of Bio-Technology, 430070, Wuhan, China
| | - Xibiao Tang
- Animal Disease Diagnosis Center of Wuhan Keqian Biology Co., Ltd, 430070, Wuhan, China
- Hubei Vocational College of Bio-Technology, 430070, Wuhan, China
| | - Shaobo Xiao
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, 430070, Wuhan, China
- Hubei Hongshan Laboratory, 430070, Wuhan, China
- Frontiers Science Center for Animal Breeding and Sustainable Production, The Cooperative Innovation Center for Sustainable Pig Production, 430070, Wuhan, China
| | - Zhong Peng
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, 430070, Wuhan, China.
- Hubei Hongshan Laboratory, 430070, Wuhan, China.
- Frontiers Science Center for Animal Breeding and Sustainable Production, The Cooperative Innovation Center for Sustainable Pig Production, 430070, Wuhan, China.
| | - Bin Wu
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, 430070, Wuhan, China.
- Frontiers Science Center for Animal Breeding and Sustainable Production, The Cooperative Innovation Center for Sustainable Pig Production, 430070, Wuhan, China.
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Hu Z, Tian X, Lai R, Wang X, Li X. Current detection methods of African swine fever virus. Front Vet Sci 2023; 10:1289676. [PMID: 38144466 PMCID: PMC10739333 DOI: 10.3389/fvets.2023.1289676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 11/24/2023] [Indexed: 12/26/2023] Open
Abstract
African swine fever (ASF), caused by the African swine fever virus (ASFV), is a highly contagious and notifiable animal disease in domestic pigs and wild boars, as designated by the World Organization for Animal Health (WOAH). The effective diagnosis of ASF holds great importance in promptly controlling its spread due to its increasing prevalence and the continuous emergence of variant strains. This paper offers a comprehensive review of the most common and up-to-date methods established for various genes/proteins associated with ASFV. The discussed methods primarily focus on the detection of viral genomes or particles, as well as the detection of ASFV associated antibodies. It is anticipated that this paper will serve as a reference for choosing appropriate diagnostic methods in diverse application scenarios, while also provide direction for the development of innovative technologies in the future.
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Affiliation(s)
- Zhiqiang Hu
- Shandong Engineering Laboratory of Pig and Poultry Healthy Breeding and Disease Diagnosis Technology, Xiajin New Hope Liuhe Agriculture and Animal Husbandry Co., Ltd., Dezhou, China
- Shandong New Hope Liuhe Co., Ltd., Qingdao, China
- Shandong New Hope Liuhe Agriculture and Animal Husbandry Technology Co., Ltd., (NHLH Academy of Swine Research), Dezhou, China
- China Agriculture Research System-Yangling Comprehensive Test Station, Xianyang, China
| | - Xiaogang Tian
- Shandong Engineering Laboratory of Pig and Poultry Healthy Breeding and Disease Diagnosis Technology, Xiajin New Hope Liuhe Agriculture and Animal Husbandry Co., Ltd., Dezhou, China
- Shandong New Hope Liuhe Co., Ltd., Qingdao, China
- Shandong New Hope Liuhe Agriculture and Animal Husbandry Technology Co., Ltd., (NHLH Academy of Swine Research), Dezhou, China
| | - Ranran Lai
- Shandong Engineering Laboratory of Pig and Poultry Healthy Breeding and Disease Diagnosis Technology, Xiajin New Hope Liuhe Agriculture and Animal Husbandry Co., Ltd., Dezhou, China
- Shandong New Hope Liuhe Co., Ltd., Qingdao, China
- Shandong New Hope Liuhe Agriculture and Animal Husbandry Technology Co., Ltd., (NHLH Academy of Swine Research), Dezhou, China
| | - Xinglong Wang
- College of Veterinary Medicine, Northwest A&F University, Xianyang, China
| | - Xiaowen Li
- Shandong Engineering Laboratory of Pig and Poultry Healthy Breeding and Disease Diagnosis Technology, Xiajin New Hope Liuhe Agriculture and Animal Husbandry Co., Ltd., Dezhou, China
- Shandong New Hope Liuhe Co., Ltd., Qingdao, China
- Shandong New Hope Liuhe Agriculture and Animal Husbandry Technology Co., Ltd., (NHLH Academy of Swine Research), Dezhou, China
- China Agriculture Research System-Yangling Comprehensive Test Station, Xianyang, China
- College of Veterinary Medicine, Northwest A&F University, Xianyang, China
- Key Laboratory of Feed and Livestock and Poultry Products Quality and Safety Control, Ministry of Agriculture and Rural Affairs, New Hope Liuhe Co., Ltd., Chengdu, China
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Pakotiprapha D, Kuhaudomlarp S, Tinikul R, Chanarat S. Bridging the Gap: Can COVID-19 Research Help Combat African Swine Fever? Viruses 2023; 15:1925. [PMID: 37766331 PMCID: PMC10536364 DOI: 10.3390/v15091925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 09/12/2023] [Accepted: 09/12/2023] [Indexed: 09/29/2023] Open
Abstract
African swine fever (ASF) is a highly contagious and economically devastating disease affecting domestic pigs and wild boar, caused by African swine fever virus (ASFV). Despite being harmless to humans, ASF poses significant challenges to the swine industry, due to sudden losses and trade restrictions. The ongoing COVID-19 pandemic has spurred an unparalleled global research effort, yielding remarkable advancements across scientific disciplines. In this review, we explore the potential technological spillover from COVID-19 research into ASF. Specifically, we assess the applicability of the diagnostic tools, vaccine development strategies, and biosecurity measures developed for COVID-19 for combating ASF. Additionally, we discuss the lessons learned from the pandemic in terms of surveillance systems and their implications for managing ASF. By bridging the gap between COVID-19 and ASF research, we highlight the potential for interdisciplinary collaboration and technological spillovers in the battle against ASF.
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Affiliation(s)
| | | | | | - Sittinan Chanarat
- Department of Biochemistry and Center for Excellence in Protein and Enzyme Technology, Faculty of Science, Mahidol University, Bangkok 10400, Thailand
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Shi K, Zhao K, Wei H, Zhou Q, Shi Y, Mo S, Long F, Hu L, Feng S, Mo M. Triplex Crystal Digital PCR for the Detection and Differentiation of the Wild-Type Strain and the MGF505-2R and I177L Gene-Deleted Strain of African Swine Fever Virus. Pathogens 2023; 12:1092. [PMID: 37764900 PMCID: PMC10534775 DOI: 10.3390/pathogens12091092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 08/24/2023] [Accepted: 08/25/2023] [Indexed: 09/29/2023] Open
Abstract
African swine fever (ASF) is a severe and highly contagious viral disease that affects domestic pigs and wild boars, characterized by a high fever and internal bleeding. The disease is caused by African swine fever virus (ASFV), which is prevalent worldwide and has led to significant economic losses in the global pig industry. In this study, three pairs of specific primers and TaqMan probes were designed for the ASFV B646L, MGF505-2R and I177L genes. After optimizing the reaction conditions of the annealing temperature, primer concentration and probe concentration, triplex crystal digital PCR (cdPCR) and triplex real-time quantitative PCR (qPCR) were developed for the detection and differentiation of the wild-type ASFV strain and the MGF505-2R and/or I177L gene-deleted ASFV strains. The results indicate that both triplex cdPCR and triplex qPCR were highly specific, sensitive and repeatable. The assays could detect only the B646L, MGF505-2R and I177L genes, without cross-reaction with other swine viruses (i.e., PRRSV, CSFV, PCV2, PCV3, PEDV, PDCoV and PRV). The limit of detection (LOD) of triplex cdPCR was 12 copies/reaction, and the LOD of triplex qPCR was 500 copies/reaction. The intra-assay and inter-assay coefficients of variation (CVs) for repeatability and reproducibility were less than 2.7% for triplex cdPCR and less than 1.8% for triplex qPCR. A total of 1510 clinical tissue samples were tested with both methods, and the positivity rates of ASFV were 14.17% (214/1510) with triplex cdPCR and 12.98% (196/1510) with triplex qPCR, with a coincidence rate of 98.81% between the two methods. The positivity rate for the MGF505-2R gene-deleted ASFV strains was 0.33% (5/1510), and no I177L gene-deleted ASFV strain was found. The results indicate that triplex cdPCR and triplex qPCR developed in this study can provide rapid, sensitive and accurate methods for the detection and differentiation of the ASFV B646L, MGF505-2R and I177L genes.
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Affiliation(s)
- Kaichuang Shi
- College of Animal Science and Technology, Guangxi University, Nanning 530005, China; (K.Z.); (Y.S.)
- Guangxi Center for Animal Disease Control and Prevention, Nanning 530001, China; (H.W.); (Q.Z.); (S.M.); (F.L.); (L.H.); (S.F.)
| | - Kang Zhao
- College of Animal Science and Technology, Guangxi University, Nanning 530005, China; (K.Z.); (Y.S.)
| | - Haina Wei
- Guangxi Center for Animal Disease Control and Prevention, Nanning 530001, China; (H.W.); (Q.Z.); (S.M.); (F.L.); (L.H.); (S.F.)
| | - Qingan Zhou
- Guangxi Center for Animal Disease Control and Prevention, Nanning 530001, China; (H.W.); (Q.Z.); (S.M.); (F.L.); (L.H.); (S.F.)
| | - Yuwen Shi
- College of Animal Science and Technology, Guangxi University, Nanning 530005, China; (K.Z.); (Y.S.)
| | - Shenglan Mo
- Guangxi Center for Animal Disease Control and Prevention, Nanning 530001, China; (H.W.); (Q.Z.); (S.M.); (F.L.); (L.H.); (S.F.)
| | - Feng Long
- Guangxi Center for Animal Disease Control and Prevention, Nanning 530001, China; (H.W.); (Q.Z.); (S.M.); (F.L.); (L.H.); (S.F.)
| | - Liping Hu
- Guangxi Center for Animal Disease Control and Prevention, Nanning 530001, China; (H.W.); (Q.Z.); (S.M.); (F.L.); (L.H.); (S.F.)
| | - Shuping Feng
- Guangxi Center for Animal Disease Control and Prevention, Nanning 530001, China; (H.W.); (Q.Z.); (S.M.); (F.L.); (L.H.); (S.F.)
| | - Meilan Mo
- College of Animal Science and Technology, Guangxi University, Nanning 530005, China; (K.Z.); (Y.S.)
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Zuo X, Peng G, Xia Y, Xu L, Zhao Q, Zhu Y, Wang C, Liu Y, Zhao J, Wang H, Zou X. A quadruple fluorescence quantitative PCR method for the identification of wild strains of african swine fever and gene-deficient strains. Virol J 2023; 20:150. [PMID: 37452402 PMCID: PMC10347796 DOI: 10.1186/s12985-023-02111-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 06/30/2023] [Indexed: 07/18/2023] Open
Abstract
BACKGROUND Originating in Africa, African swine fever (ASF) was introduced to China in 2018. This acute and highly virulent infectious disease affects domestic pigs. The World Organization for Animal Health has listed it as a statutory reportable disease, and China has listed it as a category A infectious disease. METHODS Primers and probes were designed for four ASFV genes (B646L, EP402R, MGF505-3R, and A137R). The primers/probes were highly conserved compared with the gene sequences of 21 ASFV strains. RESULTS After optimization, the calibration curve showed good linearity (R2 > 0.99), the minimum concentration of positive plasmids that could be detected was 50 copies/µL, and the minimum viral load detection limit was 102 HAD50/mL. Furthermore, quadruple quantitative polymerase chain reaction (qPCR) with nucleic acids from three porcine-derived DNA viruses and cDNAs from eight RNA viruses did not show amplification curves, indicating that the method was specific. In addition, 1 × 106, 1 × 105, and 1 × 104 copies/µL of mixed plasmids were used for the quadruple qPCR; the coefficient of variation for triplicate determination between groups was < 2%, indicating the method was reproducible. CONCLUSIONS The results obtained by testing clinical samples containing detectable EP402R, MGF505-3R, and A137R strains with different combinations of gene deletions were as expected. Therefore, the established quadruple qPCR method was validated for the molecular diagnosis of ASF using gene-deleted ASFV strains.
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Affiliation(s)
- Xuezhi Zuo
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, 030801, Shanxi, China
- China/WOAH Reference Laboratory for Classical Swine Fever, China Institute of Veterinary Drug Control, Beijing, China
| | - Guorui Peng
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, 030801, Shanxi, China
| | - Yingju Xia
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, 030801, Shanxi, China
| | - Lu Xu
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, 030801, Shanxi, China
| | - Qizu Zhao
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, 030801, Shanxi, China
| | - Yuanyuan Zhu
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, 030801, Shanxi, China
| | - Cheng Wang
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, 030801, Shanxi, China
- China/WOAH Reference Laboratory for Classical Swine Fever, China Institute of Veterinary Drug Control, Beijing, China
| | - Yebing Liu
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, 030801, Shanxi, China
| | - Junjie Zhao
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, 030801, Shanxi, China
| | - Haidong Wang
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, 030801, Shanxi, China.
| | - Xingqi Zou
- China/WOAH Reference Laboratory for Classical Swine Fever, China Institute of Veterinary Drug Control, Beijing, China.
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9
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Nan W, Gong M, Lu Y, Li J, Li L, Qu H, Liu C, Wang Y, Wu F, Wu X, Wang Z, Chen Y, Peng D. A novel triplex real-time PCR assay for the differentiation of lumpy skin disease virus, goatpox virus, and sheeppox virus. Front Vet Sci 2023; 10:1175391. [PMID: 37448583 PMCID: PMC10336199 DOI: 10.3389/fvets.2023.1175391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 06/07/2023] [Indexed: 07/15/2023] Open
Abstract
Introduction Three members of Capripoxvirus (CaPV) genus, including lumpy skin disease virus (LSDV), goatpox virus (GTPV), and sheeppox virus (SPPV), are mentioned as notifiable forms by World Organization for Animal Health. These viruses have negatively impacted ruminant farming industry worldwide, causing great economic losses. Although SPPV and GTPV cause more severe clinical disease in only one animal species, they can transfer between sheep and goats. Both homologous and heterologous immunization strategies are used to protect animals against CaPVs. However, development of accurate and rapid methods to distinguish these three viruses is helpful for the early detection, disease surveillance, and control of CaPV infection. Therefore, we developed a novel triplex real-time PCR (qPCR) for the differentiation of LSDV, GTPV, and SPPV. Methods Universal primers were designed to detect pan-CaPV sequences. Species-specific minor groove binder (MGB)-based probes were designed, which were labeled with FAM for LSDV, HEX for GTPV, and ROX for SPPV. The sensitivity, specificity, reproducibility, and ability of detecting mixed infections were evaluated for the triplex qPCR. Further, 226 clinical samples of the infection and negative controls were subjected to the triplex qPCR, and the results were verified using PCR-restriction fragment length polymorphism (PCR-RFLP) and sequencing methods for PRO30 gene. Results The triplex qPCR could successfully distinguish LSDV, GTPV, and SPPV in one reaction, and the assay sensitivity was 5.41, 27.70, and 17.28 copies/μL, respectively. No cross-reactivity was observed with other viruses causing common ruminant diseases, including des petits ruminants virus, foot-and-mouth disease virus, bluetongue virus, ovine contagious pustular dermatitis virus, infectious bovine rhinotracheitis virus, and bovine viral diarrhea-mucosal disease virus. Inter-and intra-assay variabilities were < 2.5%. The results indicated that the triplex qPCR was highly specific, sensitive, and reproducible. Simulation experiments revealed that this assay could successfully distinguish two or three viruses in case of mixed infections without any cross-reaction. For clinical samples, the results were completely consistent with the results of PCR-RFLP and sequencing. This demonstrated that the assay was reliable for clinical application. Discussion The triplex qPCR is a robust, rapid, and simple tool for identifying various types of CaPV as it can successfully distinguish LSDV, GTPV, and SPPV in one reaction. Furthermore, the assay can facilitate more accurate disease diagnosis and surveillance for better control of CaPV infection.
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Affiliation(s)
- Wenlong Nan
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Mingxia Gong
- China Animal Health and Epidemiology Center, Qingdao, China
| | - You Lu
- China Animal Health and Epidemiology Center, Qingdao, China
- College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu, China
| | - Jinming Li
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Lin Li
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Hailong Qu
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Chunju Liu
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Ying Wang
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Faxing Wu
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Xiaodong Wu
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Zhiliang Wang
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Yiping Chen
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Daxin Peng
- College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu, China
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10
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Zhou J, Ni Y, Wang D, Fan B, Zhu X, Zhou J, Hu Y, Li L, Li B. Development of a Competitive Enzyme-Linked Immunosorbent Assay Targeting the-p30 Protein for Detection of Antibodies against African Swine Fever Virus. Viruses 2023; 15:154. [PMID: 36680193 PMCID: PMC9861063 DOI: 10.3390/v15010154] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 12/31/2022] [Accepted: 12/31/2022] [Indexed: 01/05/2023] Open
Abstract
African swine fever (ASF) is a highly contagious hemorrhagic viral disease of domestic and wild pigs of all breeds and ages, caused by African swine fever virus (ASFV). Due to the absence of a safe and efficacious vaccine, accurate laboratory diagnosis is critical for the control of ASF prevention. The p30 protein is immunogenic and stimulates a high level of antibody response to ASFV infection. We developed a panel of 4 monoclonal antibodies (mAbs) against p30 protein, and mAb-2B4 showed the highest percent of inhibition (PI) of 70% in the solid phase blocking ELISA (bELISA). Epitope mapping revealed the mAb-2B4 recognized the epitope of aa 12-18 of p30, which is conserved among various ASFV genotypes. Subsequently, a competitive enzyme-linked immunosorbent assay (cELISA) was established using HRP-labeled mAb-2B4. The cutoff for discrimination between 98 negative sera and 40 positive sera against ASFV was determined by plotting a receiver operating characteristic (ROC) curve. It yielded the area under the curve (AUC) of 0.998, and a diagnostic specificity of 97.96% and a sensitivity of 97.5% were achieved when the cutoff value was determined at 37.1%. Furthermore, the results showed an excellent repeatability of the established cELISA and no cross-reaction to antisera against six other pig pathogens. Additionally, the cELISA detected a titer of 1:256 in the positive standard serum. Overall, mAb-2B4 showed a conserved epitope and high ability to be inhibited by positive sera in ASFV antibody detection. The cELISA based on HRP-labeled mAb-2B4 offers an alternative to other assays for a broader diagnostic coverage of ASFV infection.
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Affiliation(s)
- Junming Zhou
- Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Key Laboratory of Veterinary Biological Engineering and Technology, Ministry of Agriculture, Nanjing 210014, China
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Nanjing 210014, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou 225009, China
| | - Yanxiu Ni
- Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Key Laboratory of Veterinary Biological Engineering and Technology, Ministry of Agriculture, Nanjing 210014, China
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Nanjing 210014, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou 225009, China
| | - Dandan Wang
- Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Key Laboratory of Veterinary Biological Engineering and Technology, Ministry of Agriculture, Nanjing 210014, China
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Nanjing 210014, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou 225009, China
| | - Baochao Fan
- Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Key Laboratory of Veterinary Biological Engineering and Technology, Ministry of Agriculture, Nanjing 210014, China
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Nanjing 210014, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou 225009, China
| | - Xuejiao Zhu
- Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Key Laboratory of Veterinary Biological Engineering and Technology, Ministry of Agriculture, Nanjing 210014, China
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Nanjing 210014, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou 225009, China
| | - Jinzhu Zhou
- Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Key Laboratory of Veterinary Biological Engineering and Technology, Ministry of Agriculture, Nanjing 210014, China
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Nanjing 210014, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou 225009, China
| | - Yiyi Hu
- Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Key Laboratory of Veterinary Biological Engineering and Technology, Ministry of Agriculture, Nanjing 210014, China
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Nanjing 210014, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou 225009, China
| | - Li Li
- Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Key Laboratory of Veterinary Biological Engineering and Technology, Ministry of Agriculture, Nanjing 210014, China
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Nanjing 210014, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou 225009, China
| | - Bin Li
- Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Key Laboratory of Veterinary Biological Engineering and Technology, Ministry of Agriculture, Nanjing 210014, China
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Nanjing 210014, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou 225009, China
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11
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Liu J, Wu D, Chen J, Jia S, Chen J, Wu Y, Li G. CRISPR-Cas systems mediated biosensing and applications in food safety detection. Crit Rev Food Sci Nutr 2022; 64:2960-2985. [PMID: 36218189 DOI: 10.1080/10408398.2022.2128300] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Food safety, closely related to economic development of food industry and public health, has become a global concern and gained increasing attention worldwide. Effective detection technology is of great importance to guarantee food safety. Although several classical detection methods have been developed, they have some limitations in portability, selectivity, and sensitivity. The emerging CRISPR-Cas systems, uniquely integrating target recognition specificity, signal transduction, and efficient signal amplification abilities, possess superior specificity and sensitivity, showing huge potential to address aforementioned challenges and develop next-generation techniques for food safety detection. In this review, we focus on recent progress of CRISPR-Cas mediated biosensing and their applications in food safety monitoring. The properties and principles of commonly used CRISPR-Cas systems are highlighted. Notably, the frequently coupled nucleic acid amplification strategies to enhance their selectivity and sensitivity, especially isothermal amplification methods, as well as various signal output modes are also systematically summarized. Meanwhile, the application of CRISPR-Cas systems-based biosensors in food safety detection including foodborne virus, foodborne bacteria, food fraud, genetically modified organisms (GMOs), toxins, heavy metal ions, antibiotic residues, and pesticide residues is comprehensively described. Furthermore, the current challenges and future prospects in this field are tentatively discussed.
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Affiliation(s)
- Jianghua Liu
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China
| | - Di Wu
- Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast, UK
| | - Jiahui Chen
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China
| | - Shijie Jia
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China
| | - Jian Chen
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China
| | - Yongning Wu
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China
- NHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing, China
| | - Guoliang Li
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China
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