Evidence map›Paper›PMID 41242728›Full record

ArticleMicrobes and environments2025

Identification of Arbuscular Mycorrhizal Fungal Isolates using MiSeq Sequencing.

Ryo Ohtomo

Abstract read
In one paragraph

Article in Microbes and environments, 2025. 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

1 author.

Ryo OhtomoInstitute for Agro-Environmental Sciences, NARO.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The standardization of strain identification methods is essential for effectively managing the genetic resources of arbuscular mycorrhizal (AM) fungi. Due to their highly polymorphic rRNA sequence and multinucleate nature, conventional strain identification using a single sequence of the rRNA region is often inadequate for these fungi. Therefore, the present study exami-ned the use of genetic diversity information obtained through high-throughput sequencing to improve the strain identification of AM fungal isolates. Five previously reported primer pairs were used to amplify a portion of the rRNA region from DNA extracted from AM fungal spores, which was then sequenced using the Illumina MiSeq platform. The majority of amplicon sequence variants (ASVs) matched the same strain as the source isolate. A cluster anal-ysis indicated that strains of the same species generally grouped together, demonstrating the method's effectiveness for species-level identification. Furthermore, a phylogenetic anal-ysis revealed some strain-specific ASVs that may be valuable for differentiating between different strains within the same species. Based on these results, it is feasible to develop a reliable identification protocol for AM fungal isolates using MiSeq sequencing.

Indexed as

High-Throughput Nucleotide SequencingMycorrhizaeDNA, FungalDNA, RibosomalGenetic VariationPhylogenySequence Analysis, DNASoil MicrobiologySpores, FungalDNA, FungalDNA, Ribosomalarbuscular mycorrhizal fungiculture collectionhigh-throughput sequenceribosomal RNA region

Identifiers

PMID41242728
PMCPMC12727196

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.