Evidence map›Paper›PMID 36086900›Full record

ArticleMolecular ecology2023

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

Karen L Bell, Katherine J Turo, Abigail Lowe, Kevin Nota, Alexander Keller, Francisco Encinas-Viso, Laura Parducci, Rodney T Richardson, Richard M Leggett, Berry J Brosi and 3 more

Abstract read
In one paragraph

Article in Molecular ecology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. The Evolution of Bees: Insights from 'Omic Studies.Genome biology and evolution · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Towards a toolkit for global insect biodiversity monitoring.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Karen L BellCSIRO Health & Biosecurity and CSIRO Land & Water, Floreat, WA, Australia.ORCID 0000-0002-4445-4026
Katherine J TuroDepartment of Ecology, Evolution, and Natural Resources, Rutgers University, New Brunswick, New Jersey, USA.ORCID 0000-0003-1578-4592
Abigail LoweNational Botanic Garden of Wales, Llanarthne, UK.ORCID 0000-0001-5431-8936
Kevin NotaDepartment of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden.
Alexander KellerOrganismic and Cellular Networks, Faculty of Biology, Biocenter, Ludwig-Maximilians-Universität München, Planegg, Germany.
Francisco Encinas-VisoCentre for Australian National Biodiversity Research, CSIRO, Black Mountain, Australian Capital Territory, Australia.ORCID 0000-0003-0426-2342
Laura ParducciDepartment of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden.
Rodney T RichardsonAppalachian Laboratory, University of Maryland Center for Environmental Science, Frostburg, Maryland, USA.ORCID 0000-0002-4443-1705
Richard M LeggettEarlham Institute, Norwich Research Park, Norwich, Norfolk, UK.
Berry J BrosiDepartment of Biology, University of Washington, Seattle, Washington, USA.ORCID 0000-0002-9233-1151
Kevin S BurgessDepartment of Biology, College of Letters and Sciences, Columbus State University, University System of Georgia, Atlanta, Georgia, USA.
Yoshihisa SuyamaField Science Center, Graduate School of Agricultural Science, Tohoku University, Osaki, Miyagi, Japan.
Natasha de VereNatural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0001-9593-6925

Funding

Biotechnology and Biological Sciences Research Council (BBSRC) BB/CSP1720/1USDA-NIFA 2021-67012-35153
6 · The paper itself

Abstract

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.

Indexed as

DNA Barcoding, TaxonomicEcosystemDNAPlantsPollenPollinationDNADNA metabarcodingecosystem changeenvironmental DNAglobal change ecologymetagenomicspollenpollination

Identifiers

PMID36086900
PMCPMC10947134

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.