How low can you go? Establishing detection limits for rare eukaryotes in Southern Ocean sedimentary ancient DNA

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ID: 316098
2026
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Abstract
Abstract Motivation Sedimentary ancient DNA (sedaDNA) is genetic material extracted from paleoarchives. It provides insights into the composition and dynamics of ecosystems over time. Such information can be crucial in anticipating how ecological communities may respond to environmental shifts within the context of the current climate crisis. However, challenges exist in accurately verifying ancient DNA from ecologically significant vertebrate species (e.g., fishes, aquatic birds, and mammals). These species occur only in trace amounts in sedimentary records. Here, we benchmark a stringent bioinformatic pipeline using synthetic and empirical metagenomic sedaDNA data from IODP Expedition 382 (Scotia Sea). Our objectives are threefold: (1) test taxonomic assignment precision for rare marine eukaryotes, (2) evaluate taxonomic assignment sensitivity across different sediment ages, and (3) establish the minimum sequence quantity necessary for robust identification. Results We demonstrate that taxonomic assignment precision varied significantly with sequence quantity and metagenomic context. Assignment sensitivity decreased with taxonomic rank and database representation. Reliable detection of low-abundance taxa in sedaDNA is achievable with 250 and 500 DNA fragments at the family and genus level, respectively. The reanalysis of IODP Exp. 382 sedaDNA data, using a custon built marine vertebrate-focused reference database, resulted in the first genetic reconstruction of the vertebrate community in the Scotia Sea. This lays the groundwork for future investigations into the presence and biodiversity of Southern Ocean vertebrates using sedaDNA.
Reference Key
openalex_W7163750401 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors E E Davis, Jane Younger, Christopher Burridge, Linda Armbrecht
Journal Bioinformatics advances
Year 2026
DOI
10.1093/bioadv/vbag113
URL
https://doi.org/10.1093/bioadv/vbag113
Keywords Keywords not found

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