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Gutierrez R, LaRue B, Houston R. Novel extraction chemistry and alternative amplification strategies for use with rootless hair shafts. J Forensic Sci 2021; 66:1929-1936. [PMID: 34057738 DOI: 10.1111/1556-4029.14763] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 04/14/2021] [Accepted: 05/06/2021] [Indexed: 11/28/2022]
Abstract
Rootless hair shafts are often considered unsuitable for STR genotyping due to the known high failure rate. The same samples can be reliably processed with mitochondrial sequencing. However, the minimal discriminatory power of widely implemented control region mitochondrial sequencing techniques limits its utility in some forensic casework. In this research, multiple variables were tested to provide information on rootless hair shaft sample genotyping success. Results showed external decontamination procedures decreased drop-in alleles but also greatly reduced profile recovery. The novel InnoXtract™ chemistry was comparable to automated EZ1 DNA Investigator extraction. With thoroughly decontaminated hairs, InnoTyper® 21 amplification generated random match probabilities higher than STR chemistry in 71.875% of samples and 18.75% of samples benefitted from the use of InnoTyper® 21 amplification compared with estimated mtDNA profile rarity. Compared with the capillary electrophoresis-based amplification chemistries tested, the ForenSeq™ DNA Signature Prep chemistry paired with massively parallel sequencing was the most discriminatory amplification strategy tested.
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Affiliation(s)
- Ryan Gutierrez
- Department of Forensic Science, Sam Houston State University, Huntsville, TX, USA
| | | | - Rachel Houston
- Department of Forensic Science, Sam Houston State University, Huntsville, TX, USA
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Parker GJ, Leppert T, Anex DS, Hilmer JK, Matsunami N, Baird L, Stevens J, Parsawar K, Durbin-Johnson BP, Rocke DM, Nelson C, Fairbanks DJ, Wilson AS, Rice RH, Woodward SR, Bothner B, Hart BR, Leppert M. Demonstration of Protein-Based Human Identification Using the Hair Shaft Proteome. PLoS One 2016; 11:e0160653. [PMID: 27603779 PMCID: PMC5014411 DOI: 10.1371/journal.pone.0160653] [Citation(s) in RCA: 70] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2015] [Accepted: 07/21/2016] [Indexed: 12/28/2022] Open
Abstract
Human identification from biological material is largely dependent on the ability to characterize genetic polymorphisms in DNA. Unfortunately, DNA can degrade in the environment, sometimes below the level at which it can be amplified by PCR. Protein however is chemically more robust than DNA and can persist for longer periods. Protein also contains genetic variation in the form of single amino acid polymorphisms. These can be used to infer the status of non-synonymous single nucleotide polymorphism alleles. To demonstrate this, we used mass spectrometry-based shotgun proteomics to characterize hair shaft proteins in 66 European-American subjects. A total of 596 single nucleotide polymorphism alleles were correctly imputed in 32 loci from 22 genes of subjects' DNA and directly validated using Sanger sequencing. Estimates of the probability of resulting individual non-synonymous single nucleotide polymorphism allelic profiles in the European population, using the product rule, resulted in a maximum power of discrimination of 1 in 12,500. Imputed non-synonymous single nucleotide polymorphism profiles from European-American subjects were considerably less frequent in the African population (maximum likelihood ratio = 11,000). The converse was true for hair shafts collected from an additional 10 subjects with African ancestry, where some profiles were more frequent in the African population. Genetically variant peptides were also identified in hair shaft datasets from six archaeological skeletal remains (up to 260 years old). This study demonstrates that quantifiable measures of identity discrimination and biogeographic background can be obtained from detecting genetically variant peptides in hair shaft protein, including hair from bioarchaeological contexts.
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Affiliation(s)
- Glendon J. Parker
- Department of Biology, Utah Valley University, Orem, Utah, United States of America
- Protein-Based Identification Technologies L.L.C., Orem, Utah, United States of America
- * E-mail: parker64@llnl;
| | - Tami Leppert
- Protein-Based Identification Technologies L.L.C., Orem, Utah, United States of America
- Department of Human Genetics, University of Utah, Salt Lake City, Utah, United States of America
| | - Deon S. Anex
- Forensic Science Center, Lawrence Livermore National Laboratory, Livermore, California, United States of America
| | - Jonathan K. Hilmer
- Department of Chemistry and Biochemistry, Montana State University, Bozeman, Montana, United States of America
| | - Nori Matsunami
- Department of Human Genetics, University of Utah, Salt Lake City, Utah, United States of America
| | - Lisa Baird
- Department of Human Genetics, University of Utah, Salt Lake City, Utah, United States of America
| | - Jeffery Stevens
- Department of Human Genetics, University of Utah, Salt Lake City, Utah, United States of America
| | - Krishna Parsawar
- Mass Spectrometry and Proteomics Core Facility, University of Utah, Salt Lake City, Utah, United States of America
| | - Blythe P. Durbin-Johnson
- Department of Public Health Sciences, University of California, Davis, California, United States of America
| | - David M. Rocke
- Department of Public Health Sciences, University of California, Davis, California, United States of America
| | - Chad Nelson
- Mass Spectrometry and Proteomics Core Facility, University of Utah, Salt Lake City, Utah, United States of America
| | - Daniel J. Fairbanks
- Department of Biology, Utah Valley University, Orem, Utah, United States of America
| | - Andrew S. Wilson
- School of Archaeological Sciences, University of Bradford, Bradford, United Kingdom
| | - Robert H. Rice
- Department of Environmental Toxicology, University of California, Davis, California, United States of America
| | - Scott R. Woodward
- Sorenson Molecular Genealogical Foundation, Salt Lake City, Utah, United States of America
| | - Brian Bothner
- Department of Chemistry and Biochemistry, Montana State University, Bozeman, Montana, United States of America
| | - Bradley R. Hart
- Forensic Science Center, Lawrence Livermore National Laboratory, Livermore, California, United States of America
| | - Mark Leppert
- Department of Human Genetics, University of Utah, Salt Lake City, Utah, United States of America
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