Title

A mobile lab for ancient DNA extraction in Peru

Authors

Luis Jaramillo-Valverde^1,2,3, Andrés Vásquez-Domínguez^1,2,4, Kelly S. Levano^1,2,5, Rony Castrejon-Cabanillas^1,2, Pedro Novoa-Bellota^6,7, Marco Machacuay-Romero⁶, Ruth Garcia-de-la-Guarda⁸, Raul J. Cano⁹, Ruth Shady Solis^6,7 & Heinner Guio^1,2,10*

Affiliation

¹ALBIOTEC, Lima, Peru; ²INBIOMEDIC Research and Technological Center, Lima, Peru; ³Faculty of Health Sciences, Universidad de Huánuco, Huánuco, Peru; ⁴Faculty of Biological Sciences, Universidad Nacional Mayor de San Marcos, Av. Venezuela Cdra 34 S/N, Ciudad Universitaria, Lima 01, Lima, Peru; ⁵Helene Fuld College of Nursing, New York, USA; ⁶Zona Arqueológica Caral, Unidad Ejecutora 003, Ministerio de Cultura., Lima, Peru; ⁷Professional School of Archaeology, Faculty of Social Sciences, Universidad Nacional Mayor de San Marcos, Lima, Perú; ⁸Laboratory of Molecular Microbiology and Biotechnology, Faculty of Biological Sciences, Universidad Nacional Mayor de San Marcos, Lima, Perú; ⁹The BioCollective, Denver, CO 80014, USA; ¹⁰Centro de Investigación en Biodiversidad para la Salud, Universidad Privada Norbert Wiener, Lima, Perú;

Email

*Corresponding author; E-mail: heinnerguio@gmail.com

Article Type

Research Article

Date

Received November 1, 2022; Revised December 20, 2022; Accepted December 31, 2022, Published December 31, 2022

We report the use of a mobile laboratory set up to extract ancient DNA (aDNA) from 34 human coprolites (fossilized faeces) samples. Our approach enabled the rapid genetic characterization of 5,000 years old archeological samples. It is useful for the on-site screening of museums and freshly excavated samples for DNA. This approach is accessible to other investigators as the mobile laboratory was set up using commercially available instruments.

Keywords

Ancient DNA, mobile laboratory, archeological samples, coprolites

Citation

Jaramillo-Valverde et al. Bioinformation 18(12): 1114-1118 (2022)

Edited by

P Kangueane

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.