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Schwabenlander MD, Bartz JC, Carstensen M, Fameli A, Glaser L, Larsen RJ, Li M, Shoemaker RL, Rowden G, Stone S, Walter WD, Wolf TM, Larsen PA. Prion forensics: a multidisciplinary approach to investigate CWD at an illegal deer carcass disposal site. Prion 2024; 18:72-86. [PMID: 38676289 PMCID: PMC11057675 DOI: 10.1080/19336896.2024.2343298] [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: 01/15/2024] [Accepted: 04/10/2024] [Indexed: 04/28/2024] Open
Abstract
Infectious prions are resistant to degradation and remain infectious in the environment for several years. Chronic wasting disease (CWD) has been detected in cervids inhabiting North America, the Nordic countries, and South Korea. CWD-prion spread is partially attributed to carcass transport and disposal. We employed a forensic approach to investigate an illegal carcass dump site connected with a CWD-positive herd. We integrated anatomic, genetic, and prion amplification methods to discover CWD-positive remains from six white-tailed deer (Odocoileus virginianus) and, using microsatellite markers, confirmed a portion originated from the CWD-infected herd. This approach provides a foundation for future studies of carcass prion transmission risk.
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Affiliation(s)
- Marc D. Schwabenlander
- Department of Veterinary and Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA
- Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA
| | - Jason C. Bartz
- Minnesota Center for Prion Research and Outreach, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA
- Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA
| | - Michelle Carstensen
- Department of Medical Microbiology and Immunology, School of Medicine, Creighton University, Omaha, NE, USA
| | - Alberto Fameli
- Minnesota Department of Natural Resources, Wildlife Health Program, Forest Lake, MN, USA
| | - Linda Glaser
- Pennsylvania Cooperative Fish & Wildlife Research Unit, The Pennsylvania State University, University Park, PA, USA
| | - Roxanne J. Larsen
- Department of Veterinary and Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA
- Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA
| | - Manci Li
- Department of Veterinary and Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA
- Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA
| | - Rachel L. Shoemaker
- Department of Veterinary and Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA
- Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA
| | - Gage Rowden
- Department of Veterinary and Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA
- Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA
| | - Suzanne Stone
- Department of Veterinary and Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA
- Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA
| | - W. David Walter
- Minnesota Board of Animal Health, Farmed Cervidae Program, St. Paul, MN, USA
| | - Tiffany M. Wolf
- U.S. Geological Survey, Pennsylvania Cooperative Fish and Wildlife Research Unit, The Pennsylvania State University, University Park, PA, USA
- Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA
| | - Peter A. Larsen
- Department of Veterinary and Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA
- Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA
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Liu X, Du W, Wang C, Wu Y, Chen W, Zheng Y, Wang M, Liu H, Yang Q, Qian S, Chen L, Liu C. A multilocus DNA mini-barcode assay to identify twenty vertebrate wildlife species. iScience 2023; 26:108275. [PMID: 38026223 PMCID: PMC10651681 DOI: 10.1016/j.isci.2023.108275] [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: 07/27/2023] [Revised: 10/02/2023] [Accepted: 10/17/2023] [Indexed: 12/01/2023] Open
Abstract
The world faces significant challenges in preserving the diversity of vertebrate species due to wildlife crimes. DNA barcoding, an effective molecular marker for insufficient nuclear DNA, is an authentic and quick identification technique to trace the origin of seized samples in forensic investigations. Here, we present a multiplex assay capable of identifying twenty vertebrate wildlife species utilizing twenty species-specific primers that target short fragments of the mitochondrial Cyt b, COI, 16S rRNA, and 12S rRNA genes. The assay achieved strong species specificity and sensitivity with a detection limit as low as 5 pg of DNA input. Additionally, it effectively discriminated a minor contributor (≥1%) from binary mixtures and successfully identified of noninvasive samples, inhibited DNA samples, artificially degraded DNA samples, and case samples, demonstrating a sensitive, robust, practical and easily interpretable tool in screening, and investigating forensic wildlife crimes.
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Affiliation(s)
- Xueyuan Liu
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Weian Du
- School of Stomatology and Medicine, Foshan University, Foshan, Guangdong 528000, China
- Guangdong Homy Genetics Ltd., Foshan, Guangdong 528000, China
| | - Chen Wang
- Guangzhou Zoo & Guangzhou Wildlife Research Center, Guangzhou, Guangdong 510070, China
| | - Yajiang Wu
- Guangzhou Zoo & Guangzhou Wildlife Research Center, Guangzhou, Guangdong 510070, China
| | - Wu Chen
- Guangzhou Zoo & Guangzhou Wildlife Research Center, Guangzhou, Guangdong 510070, China
| | - Yangyang Zheng
- Guangdong Homy Genetics Ltd., Foshan, Guangdong 528000, China
| | - Mengge Wang
- Guangzhou Forensic Science Institute & Guangdong Province Key Laboratory of Forensic Genetics, Guangzhou, Guangdong 510030, China
| | - Hong Liu
- Guangzhou Forensic Science Institute & Guangdong Province Key Laboratory of Forensic Genetics, Guangzhou, Guangdong 510030, China
| | - Qianyong Yang
- College of Medicine of Jiujiang University, Jiujiang, Jiangxi 332000 China
| | - Shui Qian
- Foshan Public Security Bureau, Foshan, Guangdong 528000, China
| | - Ling Chen
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Chao Liu
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, Guangdong 510515, China
- National Anti-Drug Laboratory Guangdong Regional Center, Guangzhou, Guangdong 510230, China
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Liu T, Tian Y, Cao Y, Wang Z, Zha G, Liu W, Wei L, Xiao H, Zhang Q, Cao C. Isoelectric point barcode and similarity analysis with the earth mover's distance for identification of species origin of raw meat. Food Res Int 2023; 166:112600. [PMID: 36914325 DOI: 10.1016/j.foodres.2023.112600] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 02/07/2023] [Accepted: 02/14/2023] [Indexed: 02/20/2023]
Abstract
In this work, by combining the microcolumn isoelectric focusing (mIEF) and similarity analysis with the earth mover's distance (EMD) metric, we proposed the concept of isoelectric point (pI) barcode for the identification of species origin of raw meat. At first, we used the mIEF to analyze 14 meat species, including 8 species of livestock and 6 species of poultry, to generate 140 electropherograms of myoglobin/hemoglobin (Mb/Hb) markers. Secondly, we binarized the electropherograms and converted them into the pI barcodes that only showed the major Mb/Hb bands for the EMD analysis. Thirdly, we efficiently developed the barcode database of 14 meat species and successfully used the EMD method to identify 9 meat products thanks to the high throughput of mIEF and the simplified format of the barcode for similarity analysis. The developed method had the merits of facility, rapidity and low cost. The developed concept and method had evident potential to the facile identification of meat species.
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Affiliation(s)
- Tian Liu
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Youli Tian
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; School of Life Sciences and Biotechnology, State Key Laboratory of Microbial Metabolism, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yiren Cao
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Zihao Wang
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Genhan Zha
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; School of Life Sciences and Biotechnology, State Key Laboratory of Microbial Metabolism, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Weiwen Liu
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Li Wei
- Shanghai 6(th) People's Hospital, Shanghai Jiao Tong University, Shanghai 200233, China
| | - Hua Xiao
- School of Life Sciences and Biotechnology, State Key Laboratory of Microbial Metabolism, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Qiang Zhang
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; School of Life Sciences and Biotechnology, State Key Laboratory of Microbial Metabolism, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Chengxi Cao
- School of Life Sciences and Biotechnology, State Key Laboratory of Microbial Metabolism, Shanghai Jiao Tong University, Shanghai 200240, China; Shanghai 6(th) People's Hospital, Shanghai Jiao Tong University, Shanghai 200233, China.
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Abstract
This review paper covers the forensic-relevant literature in biological sciences from 2019 to 2022 as a part of the 20th INTERPOL International Forensic Science Managers Symposium. Topics reviewed include rapid DNA testing, using law enforcement DNA databases plus investigative genetic genealogy DNA databases along with privacy/ethical issues, forensic biology and body fluid identification, DNA extraction and typing methods, mixture interpretation involving probabilistic genotyping software (PGS), DNA transfer and activity-level evaluations, next-generation sequencing (NGS), DNA phenotyping, lineage markers (Y-chromosome, mitochondrial DNA, X-chromosome), new markers and approaches (microhaplotypes, proteomics, and microbial DNA), kinship analysis and human identification with disaster victim identification (DVI), and non-human DNA testing including wildlife forensics. Available books and review articles are summarized as well as 70 guidance documents to assist in quality control that were published in the past three years by various groups within the United States and around the world.
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