Evidence map›Paper›PMID 42681282›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

From Sampling to Identification of Arbuscular Mycorrhizal Fungi Through Next Generation Sequencing.

Francesco Berruto, Miriana Bortolot, Erica Lumini, Valeria Bianciotto

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Francesco BerrutoDepartment of Life Sciences and Systems Biology , University of Turin, Viale Mattioli, Turin, Italy. francesco.berruto@unito.it.
Miriana BortolotDepartment of Life Sciences and Systems Biology , University of Turin, Viale Mattioli, Turin, Italy.
Erica LuminiInstitute for Sustainable Plant Protection (IPSP), National Research Council (CNR), Viale Mattioli, Turin, Italy.
Valeria BianciottoInstitute for Sustainable Plant Protection (IPSP), National Research Council (CNR), Viale Mattioli, Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, DNA sequencing technologies have advanced considerably with the rise of Next-Generation Sequencing (NGS) platforms, which have transformed microbial ecology research. These approaches enable the characterization of entire communities by using DNA traces to identify organisms taxonomically from a single sample. Arbuscular mycorrhizal fungi (AMF) are no exception and represent one of the most extensively studied groups of soil fungi. This chapter presents protocols for high-throughput, sequence-based analysis of AMF communities, covering the complete workflow from DNA extraction in plant or soil samples to the bioinformatic processing of sequencing data. It particularly focuses on rRNA gene metabarcoding, the most common strategy to provide estimates of AMF diversity and community composition through the amplification of DNA with taxon-specific primers followed by sequencing of barcode regions. Alternative strategies are described to accommodate different research objectives, including the selection of molecular markers.

Indexed as

High-Throughput Nucleotide SequencingMycorrhizaeComputational BiologyDNA Barcoding, TaxonomicDNA, FungalSequence Analysis, DNASoil MicrobiologyDNA, FungalArbuscular mycorrhizal fungiBioinformaticsGlomeromycotaMetabarcodingMicrobiotaNext generation sequencingSoil microbiology

Identifiers

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.