A damage-aware NGS workflow for conservative species identification from ultra-degraded DNA

, including mixtures and mineral-containing matrices. The workflow reliably identifies dominant biological sources, reduces false-positive assignments driven by conserved genomic regions, and remains robust to common physical and chemical treatments such as swelling, heating, and plaster addition. Overall, this study provides a proof-of-concept framework for conservative species identification in challenging degraded DNA contexts. The workflow may be adaptable to a broader range of degraded DNA contexts-including wildlife monitoring, regulatory enforcement, forensic investigations, and the analysis of processed biological materials-although further validation across diverse matrices will be required.