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Li Q, An Z, Sun T, Ji S, Wang W, Peng Y, Wang Z, Salentijn GIJ, Gao Z, Han D. Sensitive colorimetric detection of antibiotic resistant Staphylococcus aureus on dairy farms using LAMP with pH-responsive polydiacetylene. Biosens Bioelectron 2023; 219:114824. [PMID: 36327562 DOI: 10.1016/j.bios.2022.114824] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 09/29/2022] [Accepted: 10/16/2022] [Indexed: 11/19/2022]
Abstract
Rapidly and accurately detecting antibiotic-resistant pathogens in agriculture and husbandry is important since these represent a major threat to public health. While much attention has been dedicated to detecting now-common resistant bacteria, such as methicillin-resistant Staphylococcus aureus, fewer methods have been developed to assess resistance against macrolides in Staphylococcus aureus (SA). Here, we report a visual on-site detection system for macrolide resistant SA in dairy products. First, metagenomic sequencing in raw milk, cow manure, water and aerosol deposit collected from dairy farms around Tianjin was used to identify the most abundant macrolide resistance gene, which was found to be the macB gene. In parallel, SA housekeeping genes were screened to allow selective identification of SA, which resulted in the selection of the SAOUHSC_01275 gene. Next, LAMP assays targeting the above-mentioned genes were developed and interpreted by agarose gel electrophoresis. For on-site application, different pH-sensitive colorimetric LAMP indicators were compared, which resulted in selection of polydiacetylene (PDA) as the most sensitive candidate. Additionally, a semi-quantitative detection could be realized by analyzing the RGB information via smartphone with a LOD of 1.344 × 10-7 ng/μL of genomic DNA from a milk sample. Finally, the proposed method was successfully carried out at a real farm within 1 h from sample to result by using freeze-dried reagents and portable devices. This is the first instance in which PDA is used to detect LAMP products, and this generic read-out system can be expanded to other antibiotic resistant genes and bacteria.
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Affiliation(s)
- Qiaofeng Li
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, China; State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China; Wageningen Food Safety Research, Wageningen University & Research, P.O. Box 230, 6700, AE, Wageningen, the Netherlands
| | - Zhaoxia An
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, China
| | - Tieqiang Sun
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, China
| | - Shuaifeng Ji
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, China
| | - Weiya Wang
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, China; State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China
| | - Yuan Peng
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, China
| | - Zhouping Wang
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China
| | - Gert I J Salentijn
- Wageningen Food Safety Research, Wageningen University & Research, P.O. Box 230, 6700, AE, Wageningen, the Netherlands; Laboratory of Organic Chemistry, Wageningen University, Wageningen, 6708, WE, the Netherlands.
| | - Zhixian Gao
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, China.
| | - Dianpeng Han
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, China.
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Giraldo PA, Shinozuka H, Spangenberg GC, Smith KF, Cogan NOI. Rapid and Detailed Characterization of Transgene Insertion Sites in Genetically Modified Plants via Nanopore Sequencing. FRONTIERS IN PLANT SCIENCE 2020; 11:602313. [PMID: 33613582 PMCID: PMC7889508 DOI: 10.3389/fpls.2020.602313] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 12/24/2020] [Indexed: 05/15/2023]
Abstract
Molecular characterization of genetically modified plants can provide crucial information for the development of detection and identification methods, to comply with traceability, and labeling requirements prior to commercialization. Detailed description of the genetic modification was previously a challenging step in the safety assessment, since it required the use of laborious and time-consuming techniques. In this study an accurate, simple, and fast method was developed for molecular characterization of genetically modified (GM) plants, following a user-friendly workflow for researchers with limited bioinformatic capabilities. Three GM events from a diverse array of crop species-perennial ryegrass, white clover, and canola-were used to test the approach that exploits long-read sequencing by the MinION device, from Oxford Nanopore Technologies. The method delivered a higher degree of resolution of the transgenic events within the host genome than has previously been possible with the standard Illumina short-range sequencing strategies. The flanking sequences, copy number, and presence of backbone sequences, and overall transgene insertion structure were determined for each of the plant genomes, with the additional identification of moderate-sized secondary insertions that would have previously been missed. The proposed workflow takes only about 1 week from DNA extraction to analyzed result, and the method will complement the existing approaches for molecular characterization of GM plants, since it makes the process faster, simpler, and more cost-effective.
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Affiliation(s)
- Paula A. Giraldo
- Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, VIC, Australia
- Agriculture Victoria Research, AgriBio, The Centre for AgriBioscience, Bundoora, VIC, Australia
| | - Hiroshi Shinozuka
- Agriculture Victoria Research, AgriBio, The Centre for AgriBioscience, Bundoora, VIC, Australia
| | - German C. Spangenberg
- Agriculture Victoria Research, AgriBio, The Centre for AgriBioscience, Bundoora, VIC, Australia
- AgriBio, The Centre for AgriBioscience, School of Applied Systems Biology, La Trobe University, Bundoora, VIC, Australia
| | - Kevin F. Smith
- Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, VIC, Australia
- Agriculture Victoria Research, Hamilton, VIC, Australia
- *Correspondence: Kevin F. Smith,
| | - Noel O. I. Cogan
- Agriculture Victoria Research, AgriBio, The Centre for AgriBioscience, Bundoora, VIC, Australia
- AgriBio, The Centre for AgriBioscience, School of Applied Systems Biology, La Trobe University, Bundoora, VIC, Australia
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