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Related Experiment Video

Updated: Dec 16, 2025

Author Spotlight: Advanced Enteroid Model for Studying Host-Pathogen Interactions

Author Spotlight: Advanced Enteroid Model for Studying Host-Pathogen Interactions

Published on: April 5, 2024

An ancient view on host pathogen interaction across time and space.

Rodrigo Barquera¹, Johannes Krause¹

¹Max Planck Institute for the Science of Human History (MPI-SHH), Kahlaische Str. 10, 07745, Jena, Germany.

Current Opinion in Immunology

|July 1, 2020

Summary

Ancient DNA analysis revolutionizes historical research, enabling allele calling for human immunity genes like Human Leukocyte Antigen (HLA) and pathogen genomes. This provides insights into past human adaptation to diseases.

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Area of Science:

Paleogenomics
Immunogenetics
Evolutionary biology

Background:

Ancient DNA (aDNA) analysis offers new perspectives on historical research previously limited by speculation.
Targeted enrichment methods allow retrieval of genetic data from ancient human and pathogen genomes.

Purpose of the Study:

To explore the potential of ancient DNA in understanding host-pathogen interactions.
To enable allele calling for human immunity genes, such as Human Leukocyte Antigen (HLA), across historical periods.

Main Methods:

Utilizing ancient DNA extraction and sequencing techniques.
Employing advanced bioinformatic tools for data analysis and allele calling.
Applying enrichment methods for targeted retrieval of specific genetic markers.

Main Results:

Demonstrated the feasibility of retrieving millions of single nucleotide polymorphism (SNP) positions from ancient human genomes.
Showcased the capability to sequence complete ancient bacterial and viral genomes.
Enabled allele calling for Human Leukocyte Antigen (HLA) systems in ancient samples.

Conclusions:

Ancient DNA analysis, combined with bioinformatic tools, is revolutionizing host-pathogen interaction studies.
Future data will offer a dynamic view of human adaptation to pathogens across history.
This approach provides unprecedented insights into population-wide evolutionary responses to disease.