Evidence map›Paper›PMID 34531839›Full record

ArticleFrontiers in microbiology2021

Uncovering Diagnostic Value of Mitogenome for Identification of Cryptic Species

Joanna Wyrębek, Tomasz Molcan, Kamil Myszczyński, Anne D van Diepeningen, Alexander A Stakheev, Maciej Żelechowski, Katarzyna Bilska, Tomasz Kulik

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Insights into the Phylogeny ofJournal of fungi (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Comparative Analysis of the Mitochondrial Genome Sequences ofJournal of fungi (Basel, Switzerland) · 2024
    Article
  4. Article
  5. 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

8 authors.

Joanna WyrębekDepartment of Botany and Nature Protection, University of Warmia and Mazury in Olsztyn, Olsztyn, Poland.
Tomasz MolcanDepartment of Bioinformatics, Institute of Biochemistry and Biophysics, Polish Academy of Sciences, Warsaw, Poland.
Kamil MyszczyńskiMolecular Biology Laboratory, Institute of Animal Reproduction and Food Research, Polish Academy of Sciences, Olsztyn, Poland.
Anne D van DiepeningenBiointeractions & Plant Health, Wageningen Plant Research, Wageningen, Netherlands.
Alexander A StakheevShemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia.
Maciej ŻelechowskiDepartment of Botany and Nature Protection, University of Warmia and Mazury in Olsztyn, Olsztyn, Poland.
Katarzyna BilskaDepartment of Botany and Nature Protection, University of Warmia and Mazury in Olsztyn, Olsztyn, Poland.
Tomasz KulikDepartment of Botany and Nature Protection, University of Warmia and Mazury in Olsztyn, Olsztyn, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fungal complexes are often composed of morphologically nearly indistinguishable species with high genetic similarity. However, despite their close relationship, they can exhibit distinct phenotypic differences in pathogenicity and production of mycotoxins. Many plant pathogenic and toxigenic fungi have been shown to consist of such cryptic species. Identification of cryptic species in economically important pathogens has added value in epidemiologic studies and provides opportunities for better control. Analysis of mitochondrial genomes or

Indexed as

Fusarium graminearum sensu strictoFusarium graminearum species complexhoming endonucleasesidentificationintronsmobile genetic elements

Identifiers

PMID34531839
PMCPMC8439580

What OpenQuestion holds

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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 OpenQuestion graph.