Evidence map›Paper›PMID 36422016›Full record

ReviewJournal of fungi (Basel, Switzerland)2022

Metagenomics Next Generation Sequencing (mNGS): An Exciting Tool for Early and Accurate Diagnostic of Fungal Pathogens in Plants.

Fatma Şeyma Gökdemir, Özlem Darcansoy İşeri, Abhishek Sharma, Premila N Achar, Füsun Eyidoğan

Abstract readReview
In one paragraph

Review in Journal of fungi (Basel, Switzerland), 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. Review
  2. Article
  3. Genomic insights intoMicrobiology spectrum · 2026
    Article
  4. Diversity of Microscopic Fungi.Journal of fungi (Basel, Switzerland) · 2026
    Article
  5. Environmental isolation ofVeterinary record open · 2025
    Article
  6. Article
  7. Detection ofJournal of fungi (Basel, Switzerland) · 2025
    Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. 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

5 authors.

Fatma Şeyma GökdemirPlant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI 48824, USA.ORCID 0000-0003-2951-848X
Özlem Darcansoy İşeriDepartment of Molecular Biology and Genetics, Faculty of Science and Letters, Başkent University, Ankara 06790, Turkey.
Abhishek SharmaAmity Food and Agriculture Foundation, Amity University, Noida 201313, Uttar Pradesh, India.ORCID 0000-0003-0136-436X
Premila N AcharDepartment of Molecular and Cellular Biology, Kennesaw State University, Kennesaw, GA 30144, USA.ORCID 0000-0003-3792-7021
Füsun EyidoğanDepartment of Molecular Biology and Genetics, Faculty of Science and Letters, Başkent University, Ankara 06790, Turkey.ORCID 0000-0001-9595-1789

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crop output is directly impacted by infections, with fungi as the major plant pathogens, making accurate diagnosis of these threats crucial. Developing technology and multidisciplinary approaches are turning to genomic analyses in addition to traditional culture methods in diagnostics of fungal plant pathogens. The metagenomic next-generation sequencing (mNGS) method is preferred for genotyping identification of organisms, identification at the species level, illumination of metabolic pathways, and determination of microbiota. Moreover, the data obtained so far show that this new approach is promising as an emerging new trend in fungal disease detection. Another approach covered by mNGS technologies, known as metabarcoding, enables use of specific markers specific to a genetic region and allows for genotypic identification by facilitating the sequencing of certain regions. Although the core concept of mNGS remains constant across applications, the specific sequencing methods and bioinformatics tools used to analyze the data differ. In this review, we focus on how mNGS technology, including metabarcoding, is applied for detecting fungal pathogens and its promising developments for the future.

Indexed as

bioinformatic analysisfungal pathogensITSmetabarcodingmNGS

Identifiers

PMID36422016
PMCPMC9699264

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.