Details

Autor(en) / Beteiligte

• Williams, John W.
• Spanbauer, Trisha L.
• Heintzman, Peter D.
• Blois, Jessica
• Capo, Eric
• Goring, Simon J.
• Monchamp, Marie-Eve
• Parducci, Laura
• Von Eggers, Jordan M.
• Alsos, Inger Greve
• Bowler, Chris
• Coolen, Marco J.L.
• Cullen, Nicola
• Crump, Sarah
• Epp, Laura Saskia
• Fernandez-Guerra, Antonio
• Grimm, Eric
• Herzschuh, Ulrike
• Mereghetti, Alessandro
• Meyer, Rachel Sarah
• Nota, Kevin
• Pedersen, Mikkel Winther
• Pérez, Vilma
• Shapiro, Beth
• Stoof-Leichsenring, Kathleen R.
• Wood, Jamie

Titel

Strengthening global-change science by integrating aeDNA with paleoecoinformatics

Ist Teil von

• Trends in ecology & evolution (Amsterdam), 2023-10, Vol.38 (10), p.946-960

Ort / Verlag

England: Elsevier Ltd

Erscheinungsjahr

2023

Quelle

Access via ScienceDirect (Elsevier)

Beschreibungen/Notizen

• The pace and scale of ancient environmental DNA (aeDNA) -powered biodiversity research is growing rapidly and the field is now at the cusp of supporting past global-scale biodiversity research at unprecedented taxonomic resolution and temporal extent.In parallel, the paleoecoinformatics ecosystem is quickly growing and interdigitating, enabling support of multiproxy and broad-scale research into past ecological and environmental change.Because aeDNA-derived species inferences are dynamic, as are estimated ages, a global data system for aeDNA must interlink and leverage existing resources in bioinformatics and paleoecoinformatics.Prior experience has shown that open and community-governed data resources are essential for high-quality global paleodata syntheses and for empowering the next generation of scientists. Ancient environmental DNA (aeDNA) data are close to enabling insights into past global-scale biodiversity dynamics at unprecedented taxonomic extent and resolution. However, achieving this potential requires solutions that bridge bioinformatics and paleoecoinformatics. Essential needs include support for dynamic taxonomic inferences, dynamic age inferences, and precise stratigraphic depth. Moreover, aeDNA data are complex and heterogeneous, generated by dispersed researcher networks, with methods advancing rapidly. Hence, expert community governance and curation are essential to building high-value data resources. Immediate recommendations include uploading metabarcoding-based taxonomic inventories into paleoecoinformatic resources, building linkages among open bioinformatic and paleoecoinformatic data resources, harmonizing aeDNA processing workflows, and expanding community data governance. These advances will enable transformative insights into global-scale biodiversity dynamics during large environmental and anthropogenic changes.