DNA Barcoding of Head Lice from a ~1500-Year-Old Salt-Preserved Mummy from the Chehrabad Salt Mine, Iran

Human lice can be classified into several mitochondrial clades with distinct geographic distributions, reflecting long-term coevolution with ancient hominids and possibly with human populations. Analysis of ancient lice DNA from archaeological human remains can provide insights into the geographic origins of these clades and the timing of their dispersal. This study analyzes the COI barcode region of lice recovered from the ~1500-year-old salt-preserved mummy (Salt Man 2) at the Chehrabad salt mine in Zanjan Province, Iran. The sequences were compared with those of recent lice from Iran and other regions, available in the GenBank database, to determine clade affiliation and possible historical relationships. Our phylogenetic analysis recovered the five recognized mitochondrial clades (A–E). Ancient lice clustered within clade A but displayed novel haplotypes. Recent nits from Gilan and Kurdistan provinces were grouped within clades A and B, the only clades reported in Iran. The most complete ancient sequence (MLICE005-18) showed close similarity to sequences from Iraq, Pakistan, Egypt, and Iran. These findings, along with future research, could help determine when ancient lice lineages were established or introduced into specific regions. They could also clarify whether they represent haplotypes that have since disappeared or a lineage that still exists in understudied human populations.

Authors

Institutions

Publication Details

Journal
Insects
Published
2026-09-04
DOI
https://doi.org/10.3390/insects17090929
Primary Topic
Paleopathology and ancient diseases
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

DNA Barcoding of Head Lice from a ~1500-Year-Old Salt-Preserved Mummy from the Chehrabad Salt Mine, Iran

Sean W. J. Prosser, Nicole Boenke, Jean Dupouy‐Camet, Muhammad Ashfaq et al.
Insects
Paleopathology and ancient diseases
article

DNA Barcoding of Head Lice from a ~1500-Year-Old Salt-Preserved Mummy from the Chehrabad Salt Mine, Iran

Sean W. J. Prosser, Nicole Boenke, Jean Dupouy‐Camet, Muhammad Ashfaq, Negar Bizhani, Saied Reza Naddaf, Paul D. N. Hebert, Gholamreza Mowlavi, Thomas Stöllner, Abolfazl Ali
article en

Abstract

Human lice can be classified into several mitochondrial clades with distinct geographic distributions, reflecting long-term coevolution with ancient hominids and possibly with human populations. Analysis of ancient lice DNA from archaeological human remains can provide insights into the geographic origins of these clades and the timing of their dispersal. This study analyzes the COI barcode region of lice recovered from the ~1500-year-old salt-preserved mummy (Salt Man 2) at the Chehrabad salt mine in Zanjan Province, Iran. The sequences were compared with those of recent lice from Iran and other regions, available in the GenBank database, to determine clade affiliation and possible historical relationships. Our phylogenetic analysis recovered the five recognized mitochondrial clades (A–E). Ancient lice clustered within clade A but displayed novel haplotypes. Recent nits from Gilan and Kurdistan provinces were grouped within clades A and B, the only clades reported in Iran. The most complete ancient sequence (MLICE005-18) showed close similarity to sequences from Iraq, Pakistan, Egypt, and Iran. These findings, along with future research, could help determine when ancient lice lineages were established or introduced into specific regions. They could also clarify whether they represent haplotypes that have since disappeared or a lineage that still exists in understudied human populations.

InsectsVol. 17(9)
Zanjan University of Medical Sciences (IR), Pasteur Institute of Iran (IR), Iran University of Medical Sciences (IR), Université Paris Cité (FR), Deutsches Bergbau-Museum Bochum (DE), Sorbonne Paris Cité (FR), Tehran University of Medical Sciences (IR), University of Guelph (CA), Ruhr University Bochum (DE), University of Zanjan (IR)
Canada Foundation for Innovation, Canada First Research Excellence Fund
Openalex Percentile: Top 4%
Paleopathology and ancient diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.