Exploring different methodological approaches to unlock paleobiodiversity in peat profiles using ancient DNA.

Ancient DNA Climate change Deamination patterns Metagenomic Paleobiodiversity Soil ecology

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
15 Jan 2024
Historique:
received: 12 07 2023
revised: 28 09 2023
accepted: 25 10 2023
medline: 27 11 2023
pubmed: 6 11 2023
entrez: 3 11 2023
Statut: ppublish

Résumé

Natural and human-induced environmental changes deeply affected terrestrial ecosystems throughout the Holocene. Paleoenvironmental reconstructions provide information about the past and allow us to predict/model future scenarios. Among potential records, peat bogs are widely used because they present a precise stratigraphy and act as natural archives of highly diverse organic remains. Over the decades, several techniques have been developed to identify debris occurring in peat, including their morphological description. However, this is strongly constrained by the researcher's ability to distinguish residues at the species level, which typically requires many years of experience. In addition, potential contamination hampers using these techniques to obtain information from organisms such as fungi or bacteria. Environmental DNA metabarcoding and shotgun metagenome sequencing could represent a solution to detect specific groups of organisms without any a priori knowledge of their characteristics and/or to identify organisms that have rarely been considered in previous investigations. Moreover, shotgun metagenomics may allow the identification of bacteria and fungi (including both yeast and filamentous life forms), ensuring discrimination between ancient and modern organisms through the study of deamination/damage patterns. In the present review, we aim to i) present the state-of-the-art methodologies in paleoecological and paleoclimatic studies focusing on peat core analyses, proposing alternative approaches to the classical morphological identification of plant residues, and ii) suggest biomolecular approaches that will allow the use of proxies such as invertebrates, fungi, and bacteria, which are rarely employed in paleoenvironmental reconstructions.

Identifiants

pubmed: 37923262
pii: S0048-9697(23)06786-4
doi: 10.1016/j.scitotenv.2023.168159
pii:
doi:

Substances chimiques

Soil 0
DNA, Ancient 0

Types de publication

Review Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

168159

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Ilaria Fracasso (I)

Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, 39100 Bolzano, Italy. Electronic address: ilaria.fracasso@unibz.it.

Claudio Zaccone (C)

Department of Biotechnology, University of Verona, 37134 Verona, Italy.

Nikolay Oskolkov (N)

Department of Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Lund University, 221 00 Lund, Sweden.

Luca Da Ros (L)

Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, 39100 Bolzano, Italy.

Anna Dinella (A)

Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, 39100 Bolzano, Italy.

Luca Belelli Marchesini (L)

Forest Ecology Unit, Research and Innovation Centre, Fondazione Edmund Mach, 38098 San Michele all'Adige, Italy.

Pietro Buzzini (P)

Department of Agricultural, Food and Environmental Science, University of Perugia, 06123 Perugia, Italy.

Ciro Sannino (C)

Department of Agricultural, Food and Environmental Science, University of Perugia, 06123 Perugia, Italy.

Benedetta Turchetti (B)

Department of Agricultural, Food and Environmental Science, University of Perugia, 06123 Perugia, Italy.

Stefano Cesco (S)

Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, 39100 Bolzano, Italy.

Gael Le Roux (G)

Laboratoire Ecologie Fonctionnelle et Environnement (UMR5245 CNRS/UPS/INPT), Université de Toulouse, 31326 Castanet-Tolosan, France.

Giustino Tonon (G)

Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, 39100 Bolzano, Italy.

Cristiano Vernesi (C)

Forest Ecology Unit, Research and Innovation Centre, Fondazione Edmund Mach, 38098 San Michele all'Adige, Italy.

Tanja Mimmo (T)

Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, 39100 Bolzano, Italy.

Maurizio Ventura (M)

Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, 39100 Bolzano, Italy.

Luigimaria Borruso (L)

Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, 39100 Bolzano, Italy. Electronic address: luigimaria.borruso@unibz.it.

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Classifications MeSH