DNAharvester: A Nextflow Pipeline for Analysing Highly Degraded DNA from Ancient and Historical Specimens

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ID: 332580
2026
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Abstract
Abstract Motivation Ancient DNA (aDNA) research has advanced rapidly with the development of high-throughput sequencing, enabling genome-wide analyses of large collections of prehistoric specimens. However, analysing palaeontological and archaeological material with highly degraded DNA constitutes a major bioinformatic challenge. DNA from such samples is characterized by short fragment lengths, low endogenous content, post-mortem damage, and cross-species contamination, which can increase spurious mapping and reference bias, affecting downstream population genetic inferences. Results We present DNAharvester, a modular and reproducible pipeline designed specifically for processing highly degraded DNA from ancient and historical specimens. DNAharvester integrates metagenomic filtering, competitive mapping, adaptive aligner selection (incorporating BWA-aln, BWA-mem, and Bowtie2), and systematic evaluation of reference bias and spurious mapping. By incorporating flexible mapping and filtering strategies, the pipeline can be adapted to varying sample preservation, focusing on maximizing authentic data recovery. DNAharvester features subworkflows for iterative assembly of mitogenomes, identification of genomic repeats and CpG sites, taxonomic classification, microbial/pathogen screening, genetic sex determination, and variant calling. To accommodate varying sequencing depths, the pipeline supports diploid variant calling, genotype likelihood estimation, and pseudo-haploid random allele calling. We validated the pipeline using simulated and empirical datasets, demonstrating its ability to systematically mitigate complex background contamination while preserving authentic genomic signals. By streamlining complex bioinformatic tasks through simple configuration files, DNAharvester establishes a standardized approach for analysing aDNA datasets and makes genomic analyses of ancient remains accessible to the broader research community. Availability and Implementation Implemented in Nextflow, DNAharvester provides a highly scalable, containerized framework that enhances reproducibility, portability, and robustness in aDNA analyses. DNAharvester is open source under the GNU General Public License v3.0 and freely available at https://github.com/NBISweden/DNAharvester. Supplementary Information Supplementary data are available at Bioinformatics online and Zenodo repository: https://doi.org/10.5281/zenodo.22725211
Reference Key
openalex_W7222480668 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Bilal Sharif, Verena Esther Kutschera, Nikolay Oskolkov, Benjamin Guinet, Edana Lord, Juan Camilo Chacón-Duque, Jonas Oppenheimer, Tom van der Valk, David Díez‐del‐Molino, Peter D. Heintzman, Love Dalén
Journal BMC Bioinformatics
Year 2026
DOI
10.1093/bioinformatics/btag782
URL
https://doi.org/10.1093/bioinformatics/btag782
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