Plants, pollinators and their interactions under global ecological change: The role of pollen DNA metabarcoding.

DNA metabarcoding ecosystem change environmental DNA global change ecology metagenomics pollen pollination

Journal

Molecular ecology
ISSN: 1365-294X
Titre abrégé: Mol Ecol
Pays: England
ID NLM: 9214478

Informations de publication

Date de publication:
Dec 2023
Historique:
revised: 18 08 2022
received: 10 01 2022
accepted: 30 08 2022
medline: 27 11 2023
pubmed: 11 9 2022
entrez: 10 9 2022
Statut: ppublish

Résumé

Anthropogenic activities are triggering global changes in the environment, causing entire communities of plants, pollinators and their interactions to restructure, and ultimately leading to species declines. To understand the mechanisms behind community shifts and declines, as well as monitoring and managing impacts, a global effort must be made to characterize plant-pollinator communities in detail, across different habitat types, latitudes, elevations, and levels and types of disturbances. Generating data of this scale will only be feasible with rapid, high-throughput methods. Pollen DNA metabarcoding provides advantages in throughput, efficiency and taxonomic resolution over traditional methods, such as microscopic pollen identification and visual observation of plant-pollinator interactions. This makes it ideal for understanding complex ecological networks and their responses to change. Pollen DNA metabarcoding is currently being applied to assess plant-pollinator interactions, survey ecosystem change and model the spatiotemporal distribution of allergenic pollen. Where samples are available from past collections, pollen DNA metabarcoding has been used to compare contemporary and past ecosystems. New avenues of research are possible with the expansion of pollen DNA metabarcoding to intraspecific identification, analysis of DNA in ancient pollen samples, and increased use of museum and herbarium specimens. Ongoing developments in sequencing technologies can accelerate progress towards these goals. Global ecological change is happening rapidly, and we anticipate that high-throughput methods such as pollen DNA metabarcoding are critical for understanding the evolutionary and ecological processes that support biodiversity, and predicting and responding to the impacts of change.

Identifiants

pubmed: 36086900
doi: 10.1111/mec.16689
doi:

Substances chimiques

DNA 9007-49-2

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

6345-6362

Subventions

Organisme : USDA-NIFA
ID : 2021-67012-35153
Organisme : Biotechnology and Biological Sciences Research Council (BBSRC)
ID : BB/CSP1720/1

Informations de copyright

© 2022 The Authors. Molecular Ecology published by John Wiley & Sons Ltd.

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Auteurs

Karen L Bell (KL)

CSIRO Health & Biosecurity and CSIRO Land & Water, Floreat, WA, Australia.
School of Biological Sciences, University of Western Australia, Crawley, WA, Australia.

Katherine J Turo (KJ)

Department of Ecology, Evolution, and Natural Resources, Rutgers University, New Brunswick, New Jersey, USA.

Abigail Lowe (A)

National Botanic Garden of Wales, Llanarthne, UK.

Kevin Nota (K)

Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden.

Alexander Keller (A)

Organismic and Cellular Networks, Faculty of Biology, Biocenter, Ludwig-Maximilians-Universität München, Planegg, Germany.

Francisco Encinas-Viso (F)

Centre for Australian National Biodiversity Research, CSIRO, Black Mountain, Australian Capital Territory, Australia.

Laura Parducci (L)

Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden.
Department of Environmental Biology, Sapienza University of Rome, Rome, Italy.

Rodney T Richardson (RT)

Appalachian Laboratory, University of Maryland Center for Environmental Science, Frostburg, Maryland, USA.

Richard M Leggett (RM)

Earlham Institute, Norwich Research Park, Norwich, Norfolk, UK.

Berry J Brosi (BJ)

Department of Biology, University of Washington, Seattle, Washington, USA.

Kevin S Burgess (KS)

Department of Biology, College of Letters and Sciences, Columbus State University, University System of Georgia, Atlanta, Georgia, USA.

Yoshihisa Suyama (Y)

Field Science Center, Graduate School of Agricultural Science, Tohoku University, Osaki, Miyagi, Japan.

Natasha de Vere (N)

Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark.

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