Taxonomic source identification of hair

Abstract

Hair fibers are a common form of biological trace evidence. Taxonomic classification can provide valuable forensic intelligence and aid in evidence prioritization. Traditional methods of classification, based on hair morphology, require expert interpretation, offer limited taxonomic resolution, and are not easily scalable. Mass-spectrometry-based proteomics provides a biomolecular alternative through taxon-specific amino acid polymorphisms to resolve species identification. In this study, a proteomics workflow was developed for the discovery and characterization of taxonomically diagnostic hair peptides in humans and 14 additional species, selected based on relevance to crime scene investigation. A panel of 226 taxonomically informative peptides were identified, with 207 novel to this study. This included 59 peptides with single-species resolution, while the remainder were diagnostic due to restricted taxonomic distribution or convergent evolution. The panel of taxa-discriminating markers was subsequently integrated into a forensic workflow. The developed workflow was used to analyze single fur-hair (20 mm), from four individuals from each species of interest. The data were processed using a curated hair protein database, providing an efficient bioinformatics workflow that did not require prior source information for identification. The method was able to classify all hairs analyzed with genus- or species-level resolution.

Keywords

biomarker discovery, forensic proteomics, fur-hair, hair proteins, mass spectrometry, species identification, taxonomically informative peptides, trace evidence, wildlife forensics

Document Type

Journal Article

Date of Publication

6-5-2026

ISSN

15353893

Volume

25

Issue

6

PubMed ID

42085601

Publication Title

Journal of Proteome Research

Publisher

ACS

School

School of Science

RAS ID

99212

Funding Information

Support for this work was provided by ChemCentre and Edith Cowan University (ECU). Funding was provided by the Western Australian State Government (G100775). R.K. and R.T. were supported by ECU Higher Degree by Research Scholarships (ECUHDRS/G1006455).

Copyright

subscription content

Content Type

Metadata only

First Page

2626

Last Page

2637

Recommended Citation

Keane, R. E., Gummer, J. P. A., Tidy, R. J., & Parker, G. J. (2026). Taxonomic source identification of hair. Journal of Proteome Research, 25(6), 2626–2637. https://doi.org/10.1021/acs.jproteome.5c00638

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Link to publisher version (DOI)

10.1021/acs.jproteome.5c00638