Evidence map›Paper›PMID 38489283›Full record

ArticlePloS one2024

Early assessment of fungal and oomycete pathogens in greenhouse irrigation water using Oxford nanopore amplicon sequencing.

Enoch Narh Kudjordjie, Anne Saaby Schmidt-Høier, Mai-Britt Brøndum, Mads Grønvald Johnsen, Mogens Nicolaisen, Mette Vestergård

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Enoch Narh KudjordjieDepartment of Agroecology, Faculty of Technical Sciences, Aarhus University, Slagelse, Denmark.ORCID 0000-0002-3297-2459
Anne Saaby Schmidt-HøierTeknologisk Institut Gregersensvej, Taastrup, Denmark.
Mai-Britt BrøndumTeknologisk Institut Gregersensvej, Taastrup, Denmark.
Mads Grønvald JohnsenTeknologisk Institut Gregersensvej, Taastrup, Denmark.ORCID 0000-0002-4470-542X
Mogens NicolaisenDepartment of Agroecology, Faculty of Technical Sciences, Aarhus University, Slagelse, Denmark.ORCID 0000-0002-0407-2488
Mette VestergårdDepartment of Agroecology, Faculty of Technical Sciences, Aarhus University, Slagelse, Denmark.ORCID 0000-0002-0054-4855

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water-borne plant pathogenic fungi and oomycetes are a major threat in greenhouse production systems. Early detection and quantification of these pathogens would enable us to ascertain both economic and biological thresholds required for a timely treatment, thus improving effective disease management. Here, we used Oxford nanopore MinION amplicon sequencing to analyze microbial communities in irrigation water collected from greenhouses used for growing tomato, cucumber and Aeschynanthus sp. Fungal and oomycete communities were characterized using primers that amplify the full internal transcribed spacer (ITS) region. To assess the sensitivity of the MinION sequencing, we spiked serially diluted mock DNA into the DNA isolated from greenhouse water samples prior to library preparation. Relative abundances of fungal and oomycete reads were distinct in the greenhouse irrigation water samples and in water samples from setups with tomato that was inoculated with Fusarium oxysporum. Sequence reads derived from fungal and oomycete mock communities were proportionate in the respective serial dilution samples, thus confirming the suitability of MinION amplicon sequencing for environmental monitoring. By using spike-ins as standards to test the reliability of quantification using the MinION, we found that the detection of spike-ins was highly affected by the background quantities of fungal or oomycete DNA in the sample. We observed that spike-ins having shorter length (538bp) produced reads across most of our dilutions compared to the longer spikes (>790bp). Moreover, the sequence reads were uneven with respect to dilution series and were least retrievable in the background samples having the highest DNA concentration, suggesting a narrow dynamic range of performance. We suggest continuous benchmarking of the MinION sequencing to improve quantitative metabarcoding efforts for rapid plant disease diagnostic and monitoring in the future.

Indexed as

NanoporesOomycetesDNAFungiHigh-Throughput Nucleotide SequencingReproducibility of ResultsSequence Analysis, DNADNA

Identifiers

PMID38489283
PMCPMC10942031

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.