Evidence map›Paper›PMID 39330355›Full record

ArticleJournal of fungi (Basel, Switzerland)2024

Fungal Identifier (FId): An Updated Polymerase Chain Reaction-Restriction Fragment Length Polymorphism Approach to Ease Ascomycetous Yeast Isolates' Identification in Ecological Studies.

Silvia Abbà, Beatrice Valentini, Irene Stefanini

Abstract read
In one paragraph

Article in Journal of fungi (Basel, Switzerland), 2024. 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

3 authors.

Silvia AbbàDepartment of Life Sciences and Systems Biology, University of Turin, 10123 Turin, Italy.
Beatrice ValentiniDepartment of Life Sciences and Systems Biology, University of Turin, 10123 Turin, Italy.
Irene StefaniniDepartment of Life Sciences and Systems Biology, University of Turin, 10123 Turin, Italy.ORCID 0000-0002-5629-9174

Funding

HFSP RGP0060/2021PRIN 2022 20225SXSHY
6 · The paper itself

Abstract

Culturomics has been temporarily exceeded by the advent of omics approaches such as metabarcoding and metagenomics. However, despite improving our knowledge of microbial population composition, both metabarcoding and metagenomics are not suitable for investigating and experimental testing inferences about microbial ecological roles and evolution. This leads to a recent revival of culturomics approaches, which should be supported by improvements in the available tools for high-throughput microbial identification. This study aimed to update the classical PCR-RFLP approach in light of the currently available knowledge on yeast genomics. We generated and analyzed a database including more than 1400 ascomycetous yeast species, each characterized by PCR-RFLP profiles obtained with 143 different endonucleases. The results allowed for the in silico evaluation of the performance of the tested endonucleases in the yeast species' identification and the generation of FId (Fungal Identifier), an online freely accessible tool for the identification of yeast species according to experimentally obtained PCR-RFLP profiles.

Indexed as

fungiidentificationmicrobial ecologymolecularPCR-RFLP

Identifiers

PMID39330355
PMCPMC11433625

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.