Evidence map›Paper›PMID 40796567›Full record

ArticleNature communications2025

Normal meiosis in the fungus Sclerotinia sclerotiorum despite the irregular distribution of haploid chromosomes between two nuclei.

Lei Tian, Yan Xu, Josh Li, Jinyi Tan, Yuelin Zhang, Xin Li

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Advancing the taxonomy ofIMA fungus · 2026
    Review
  3. Reverse Genetic Analyses of Hydrophobins inPathogens (Basel, Switzerland) · 2025
    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

6 authors.

Lei Tian *Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0002-9395-7762
Yan Xu *Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada.
Josh LiMichael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada.
Jinyi TanMichael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada.ORCID http://orcid.org/0009-0008-9452-8987
Yuelin ZhangDepartment of Botany, University of British Columbia, Vancouver, BC, Canada.
Xin LiMichael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada. xinli@msl.ubc.ca.ORCID http://orcid.org/0000-0002-6354-2021

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sclerotinia sclerotiorum is a phytopathogenic soilborne fungus that damages diverse crops worldwide. It has recently been discovered that this fungus distributes its 16 chromosomes irregularly between two nuclei within each haploid ascospore. Here, we study the meiotic process by tracking phenotypic segregation and recombination events in the progeny of a strain resulting from the fusion of two morphologically distinct mutants. We show that, despite the unusual chromosomal distribution into two nuclei, chromosome segregation and genetic recombination occur normally in S. sclerotiorum, likely due to a tight coordination between the two complementing nuclei during meiosis. Consistently, an atypical ascospore development process deviating from the conventional model was observed. Furthermore, we show that our co-segregation analyses method can be used to identify causal mutations in uncharacterized mutants, uncovering a role for deubiquitination in fungal development and virulence.

Indexed as

AscomycotaCell NucleusChromosomes, FungalMeiosisChromosome SegregationHaploidyMutationRecombination, GeneticSpores, Fungal

Identifiers

PMID40796567
PMCPMC12343827

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.