Human DNA extraction from highly degraded skeletal remains: How to find a suitable method?

DNA extraction Highly degraded human skeletal remains STRs Silica-based extraction methods mtDNA

Journal

Electrophoresis
ISSN: 1522-2683
Titre abrégé: Electrophoresis
Pays: Germany
ID NLM: 8204476

Informations de publication

Date de publication:
01 Oct 2020
Historique:
received: 18 06 2020
revised: 27 08 2020
accepted: 24 09 2020
pubmed: 2 10 2020
medline: 2 10 2020
entrez: 1 10 2020
Statut: aheadofprint

Résumé

Retrieving DNA from highly degraded human skeletal remains is still a challenge due to low concentration and fragmentation, which makes it difficult to extract and purify. Recent works showed that silica-based methods allow better DNA recovery and this fact may be attributed to the type of bones and the quality of the preserved tissue. However, more systematic studies are needed to evaluate the efficiency of the different silica-based extraction methods considering the type of bones. The main goal of the present study is to establish the best extraction method and the type of bone that can maximize the recovery of PCR-amplifiable DNA and the subsequent retrieval of mitochondrial and nuclear genetic information. Five individuals were selected from an archaeological site located in Catalonia-Spain dating from 5th to 11th centuries AD. For each individual, five samples from different skeletal regions were collected: petrous bone, pulp cavity and cementum of tooth, and rib and limb bones. Four extraction methods were tested, three silica-based (silica in-suspension, HE column and XS plasma column) and the classical method based on phenol-chloroform. Silica in-suspension method from petrous bone and pulp cavity showed the best results. However, the remains preservation will ultimately be the key to the molecular result success.

Identifiants

pubmed: 33002215
doi: 10.1002/elps.202000171
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Generalitat of Cataluña

Informations de copyright

© 2020 Wiley-VCH GmbH.

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Auteurs

Diana C Vinueza-Espinosa (DC)

Biology Anthropology Research Group, Department of Animal Biology, Vegetal Biology and Ecology, Universidad Autónoma de Barcelona, Barcelona, Spain.

Cristina Santos (C)

Biology Anthropology Research Group, Department of Animal Biology, Vegetal Biology and Ecology, Universidad Autónoma de Barcelona, Barcelona, Spain.

Cristina Martínez-Labarga (C)

Department of Biology, Centre of Molecular Anthropology for Ancient DNA Studies, University of Rome Tor Vergata, Rome, Italy.

Assumpció Malgosa (A)

Biology Anthropology Research Group, Department of Animal Biology, Vegetal Biology and Ecology, Universidad Autónoma de Barcelona, Barcelona, Spain.

Classifications MeSH