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Yang TT, Zhang JR, Xie ZH, Ren ZL, Yan JW, Ni M. Nanopore sequencing of forensic short tandem repeats using QNome of Qitan Technology. Electrophoresis 2024; 45:1535-1545. [PMID: 38884206 DOI: 10.1002/elps.202300270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 03/21/2024] [Accepted: 04/09/2024] [Indexed: 06/18/2024]
Abstract
Devices of nanopore sequencing can be highly portable and of low cost. Thus, nanopore sequencing is promising in in-field forensic applications. Previous investigations have demonstrated that nanopore sequencing is feasible for genotyping forensic short tandem repeats (STRs) by using sequencers of Oxford Nanopore Technologies. Recently, Qitan Technology launched a new portable nanopore sequencer and became the second supplier in the world. Here, for the first time, we assess the QNome (QNome-3841) for its accuracy in nanopore sequencing of STRs and compare with MinION (MinION Mk1B). We profile 54 STRs of 21 unrelated individuals and 2800M standard DNA. The overall accuracy for diploid STRs and haploid STRs were 53.5% (378 of 706) and 82.7% (134 of 162), respectively, by using QNome. The accuracies were remarkably lower than those of MinION (diploid STRs, 84.5%; haploid, 90.7%), with a similar amount of sequencing data and identical bioinformatics analysis. Although it was not reliable for diploid STRs typing by using QNome, the haploid STRs were consistently correctly typed. The majority of errors (58.8%) in QNome-based STR typing were one-repeat deviations of repeat units in the error from true allele, related with homopolymers in repeats of STRs.
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Affiliation(s)
- Ting-Ting Yang
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, P. R. China
- Institute of Health Service and Transfusion Medicine, Beijing, P. R. China
- Shanxi Key Laboratory of Forensic Medicine, Jinzhong, P. R. China
| | - Jia-Rong Zhang
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, P. R. China
- Institute of Health Service and Transfusion Medicine, Beijing, P. R. China
- Shanxi Key Laboratory of Forensic Medicine, Jinzhong, P. R. China
| | - Zi-Han Xie
- Institute of Health Service and Transfusion Medicine, Beijing, P. R. China
- School of Life Science, Beijing University of Chemical Technology, Beijing, P. R. China
| | - Zi-Lin Ren
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, P. R. China
- School of Information Science and Technology, and Institution of Computational Biology, Northeast Normal University, Changchun, P. R. China
| | - Jiang-Wei Yan
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, P. R. China
- Shanxi Key Laboratory of Forensic Medicine, Jinzhong, P. R. China
| | - Ming Ni
- Institute of Health Service and Transfusion Medicine, Beijing, P. R. China
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Chen YC, Lin WD, Liu TY, Tsai FJ. Identification of the efficacy of parentage testing based on bi-allelic autosomal single nucleotide polymorphism markers in Taiwanese population. Forensic Sci Med Pathol 2024; 20:801-809. [PMID: 38347317 DOI: 10.1007/s12024-024-00790-y] [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] [Accepted: 01/30/2024] [Indexed: 11/01/2024]
Abstract
Parentage testing is crucial for forensic DNA analysis, using short tandem repeats (STRs). Single nucleotide polymorphisms (SNPs) with high minor allele frequency (MAF) are promising for human identification. This study aimed to develop SNP markers for parentage testing in the Taiwanese population and compare their accuracy with STRs. The TPMv1 SNP microarray (714,457 SNPs) was used to screen 180,000 Taiwanese individuals and analyze the SNP data using PLINK. After quality control, allelic distribution, and MAF considerations, a set of SNPs with significant inheritance information was selected. Parentage testing was conducted on 355 single parent-child pairs using both STRs and SNPs, employing three kinship algorithms: identity by descent, kinship-based inference for genome-wide association studies, and the combined paternity index/probability of paternity (CPI/PP). An Affymetrix signature probe for kinship testing (ASP) was also used. Based on the quality control and selection criteria, 176 SNPs with MAF > 0.4995 were selected from the Taiwanese population. The CPI/PP results calculated using SNPs were consistent with the STR results. The accuracy of the SNPs used in the single-parent-child parentage testing was > 99.99%. The set of 176 SNPs had a higher identification rate in the single parent-child parentage test than in the ASP. The CPI/PP value calculated using 176 SNPs was also more accurate than that calculated using ASP. Our findings suggest that these 176 SNPs could be used for single-parent-child parentage identification in the Taiwanese population.
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Affiliation(s)
- Yu-Chia Chen
- Department of Medical Research, China Medical University Hospital, North District, No. 2, Yude Road, Taichung, 40447, Taiwan
| | - Wei-De Lin
- Department of Medical Research, China Medical University Hospital, North District, No. 2, Yude Road, Taichung, 40447, Taiwan
- School of Post Baccalaureate Chinese Medicine, China Medical University, Taichung, 40447, Taiwan
| | - Ting-Yuan Liu
- Department of Medical Research, China Medical University Hospital, North District, No. 2, Yude Road, Taichung, 40447, Taiwan
| | - Fuu-Jen Tsai
- Department of Medical Research, China Medical University Hospital, North District, No. 2, Yude Road, Taichung, 40447, Taiwan.
- Department of Medical Genetics, China , Medical University Hospital, Taichung, 40447, Taiwan.
- Division of Genetics and Metabolism, China Medical University Children's Hospital, Taichung, 40447, Taiwan.
- School of Chinese Medicine, China Medical University, Taichung, 40402, Taiwan.
- Department of Medical Laboratory Science and Biotechnology, Asia University, Taichung, 41354, Taiwan.
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Liu Y, Xu C, Dong W, Yang X, Zhou S. Determination of a criminal suspect using environmental plant DNA metabarcoding technology. Forensic Sci Int 2021; 324:110828. [PMID: 34000616 DOI: 10.1016/j.forsciint.2021.110828] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 04/20/2021] [Accepted: 05/05/2021] [Indexed: 11/18/2022]
Abstract
There are criminal cases that no frequently used evidence, for example, human DNAs from the criminal, is available. Such cases usually are unresolvable. With the advent of DNA metabarcoding, evidences are mined from environmental DNA and such cases become resolvable. This study reports how a criminal suspect was determined by environmental plant DNA metabarcoding technology. A girl was killed in a rural wet area in China without a witness or video record. Pants with dried mud was found from one of her classmate's house. The mud was removed from the pants and 11 more mud or soil samples surrounding murder scene were collected. DNA was extracted from the soil. Chloroplast rbcL gene were amplified and sequenced on a next generation sequencing platform. After bioinformatics analysis, ZOTU composition of 12 samples demonstrated that the mud on the suspect's pants was from the criminal scene. The suspect finally made a clean breast of his crime. This case implies that plant DNA in the environment soil is a new source of evidence in determination of suspects using DNA metabarcoding technology and has high potentials of extensive applications in criminal cases.
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Affiliation(s)
- Yanlei Liu
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chao Xu
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
| | - Wenpan Dong
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China; Laboratory of Systematic Evolution and Biogeography of Woody Plants, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China
| | - Xueying Yang
- National Engineering Laboratory for Forensic Science, Key Laboratory of Forensic Genetics, Institute of Forensic Science, Ministry of Public Security, Beijing 100038, China.
| | - Shiliang Zhou
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.
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