Evidence map›Paper›PMID 34583071›Full record

ArticleThe Science of the total environment2022

DNA metabarcoding using nrITS2 provides highly qualitative and quantitative results for airborne pollen monitoring.

Marcel Polling, Melati Sin, Letty A de Weger, Arjen G C L Speksnijder, Mieke J F Koenders, Hugo de Boer, Barbara Gravendeel

Abstract read
In one paragraph

Article in The Science of the total environment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Authentication of the Botanical Origin of Honey:Journal of agricultural and food chemistry · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Detecting Airborne Pollen Using an Automatic, Real-Time Monitoring System: Evidence from Two Sites.International journal of environmental research and public health · 2022
    Article
  16. 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

7 authors.

Marcel PollingNaturalis Biodiversity Center, Leiden, the Netherlands; Natural History Museum, University of Oslo, Norway. Electronic address: marcel.polling@naturalis.nl.
Melati SinNaturalis Biodiversity Center, Leiden, the Netherlands.
Letty A de WegerDepartment of Pulmonology, Leiden University Medical Center, Leiden, the Netherlands.
Arjen G C L SpeksnijderNaturalis Biodiversity Center, Leiden, the Netherlands; Leiden University of Applied Sciences, Leiden, the Netherlands.
Mieke J F KoendersClinical Chemistry, Elkerliek Hospital, Helmond, the Netherlands.
Hugo de BoerNaturalis Biodiversity Center, Leiden, the Netherlands; Natural History Museum, University of Oslo, Norway.
Barbara GravendeelNaturalis Biodiversity Center, Leiden, the Netherlands; Radboud Institute for Biological and Environmental Sciences, Nijmegen, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Airborne pollen monitoring is of global socio-economic importance as it provides information on presence and prevalence of allergenic pollen in ambient air. Traditionally, this task has been performed by microscopic investigation, but novel techniques are being developed to automate this process. Among these, DNA metabarcoding has the highest potential of increasing the taxonomic resolution, but uncertainty exists about whether the results can be used to quantify pollen abundance. In this study, it is shown that DNA metabarcoding using trnL and nrITS2 provides highly improved taxonomic resolution for pollen from aerobiological samples from the Netherlands. A total of 168 species from 143 genera and 56 plant families were detected, while using a microscope only 23 genera and 22 plant families were identified. NrITS2 produced almost double the number of OTUs and a much higher percentage of identifications to species level (80.1%) than trnL (27.6%). Furthermore, regressing relative read abundances against the relative abundances of microscopically obtained pollen concentrations showed a better correlation for nrITS2 (R

Indexed as

DNA Barcoding, TaxonomicPollenAllergensEnvironmental MonitoringHumansPlantsSeasonsAllergensAerobiologyAirborne pollenDNA metabarcodingnrITS2QuantificationtrnL P6 loop

Identifiers

PMID34583071
PMCPMC8651626

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.