Evidence map›Paper›PMID 29572213›Full record

ArticleApplied and environmental microbiology2018

Assessment of Passive Traps Combined with High-Throughput Sequencing To Study Airborne Fungal Communities.

Jaime Aguayo, Céline Fourrier-Jeandel, Claude Husson, Renaud Ioos

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

4 authors.

Jaime AguayoANSES, Laboratoire de la Santé des Végétaux-LSV, Unité de Mycologie. Domaine de Pixérécourt, Malzéville, France jaime.aguayo@anses.fr.ORCID 0000-0002-7552-0655
Céline Fourrier-JeandelANSES, Laboratoire de la Santé des Végétaux-LSV, Unité de Mycologie. Domaine de Pixérécourt, Malzéville, France.
Claude HussonUMR IAM, INRA, Université de Lorraine, Nancy, France.
Renaud IoosANSES, Laboratoire de la Santé des Végétaux-LSV, Unité de Mycologie. Domaine de Pixérécourt, Malzéville, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Techniques based on high-throughput sequencing (HTS) of environmental DNA have provided a new way of studying fungal diversity. However, these techniques suffer from a number of methodological biases which may appear at any of the steps involved in a metabarcoding study. Air is one of the most important environments where fungi can be found, because it is the primary medium of dispersal for many species. Looking ahead to future developments, it was decided to test 20 protocols, including different passive spore traps, spore recovery procedures, DNA extraction kits, and barcode loci. HTS was performed with the Illumina MiSeq platform targeting two subloci of the fungal internal transcribed spacer. Multivariate analysis and generalized linear models showed that the type of passive spore trap, the spore recovery procedure, and the barcode all impact the description of fungal communities in terms of richness and diversity when assessed by HTS metabarcoding. In contrast, DNA extraction kits did not significantly impact these results. Although passive traps may be used to describe airborne fungal communities, a study using specific real-time PCR and a mock community showed that these kinds of traps are affected by environmental conditions that may induce losses of biological material, impacting diversity and community composition results.

Indexed as

Air MicrobiologyGenetic VariationMycobiomeDNA Barcoding, TaxonomicDNA, FungalDNA PrimersDNA, Ribosomal SpacerFungiHigh-Throughput Nucleotide SequencingReal-Time Polymerase Chain ReactionDNA, FungalDNA PrimersDNA, Ribosomal Spaceraerobiologyfungal dispersionfungal diversitymetabarcoding

Identifiers

PMID29572213
PMCPMC5960964

What OpenQuestion holds

Textmetadata
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.