Lake Sedimentary DNA Research on Past Terrestrial and Aquatic Biodiversity: Overview and Recommendations

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Documents

  • Eric Capo
  • Charline Giguet-Covex
  • Kevin Nota
  • Peter D. Heintzman
  • Aurele Vuillemin
  • Daniel Ariztegui
  • Fabien Arnaud
  • Simon Belle
  • Stefan Bertilsson
  • Christian Bigler
  • Richard Bindler
  • Antony G. Brown
  • Charlotte L. Clarke
  • Sarah E. Crump
  • Didier Debroas
  • Göran Englund
  • Gentile Francesco Ficetola
  • Rebecca E. Garner
  • Joanna Gauthier
  • Irene Gregory-Eaves
  • Liv Heinecke
  • Ulrike Herzschuh
  • Anan Ibrahim
  • Veljo Kisand
  • Youri Lammers
  • Joanne Littlefair
  • Erwan Messager
  • Marie-Eve Monchamp
  • Fredrik Olajos
  • William Orsi
  • Dilli P. Rijal
  • Johan Rydberg
  • Trisha Spanbauer
  • Kathleen R. Stoof-Leichsenring
  • Pierre Taberlet
  • Liisi Talas
  • Camille Thomas
  • David A. Walsh
  • Anne van Woerkom
  • Heike H. Zimmermann
  • Marco J. L. Coolen
  • Laura S. Epp
  • Isabelle Domaizon
  • Inger G. Alsos
  • Laura Parducci

The use of lake sedimentary DNA to track the long-term changes in both terrestrial and aquatic biota is a rapidly advancing field in paleoecological research. Although largely applied nowadays, knowledge gaps remain in this field and there is therefore still research to be conducted to ensure the reliability of the sedimentary DNA signal. Building on the most recent literature and seven original case studies, we synthesize the state-of-the-art analytical procedures for effective sampling, extraction, amplification, quantification and/or generation of DNA inventories from sedimentary ancient DNA (sedaDNA) via high-throughput sequencing technologies. We provide recommendations based on current knowledge and best practises.

Original languageEnglish
Article number6
JournalQuaternary
Volume4
Issue number1
Number of pages58
ISSN2571-550X
DOIs
Publication statusPublished - 2021

    Research areas

  • sedimentary ancient DNA, sedimentary DNA, lake sediments, paleolimnology, paleoecology, paleogenetics, paleogenomics, metabarcoding, metagenomics, biodiversity

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