Evidence map›Paper›PMID 39375368›Full record

ArticleScientific reports2024

The presence of a significant endophytic fungus in mycobiome of rice seed compartments.

Eunji Jeong, Najib Abdellaoui, Jae Yun Lim, Jeong-Ah Seo

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Germination and Polishing Reshape Microbial Communities inJournal of agricultural and food chemistry · 2026
    Article
  2. Article
  3. Review
  4. Review
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.

Eunji JeongSchool of Systems Biomedical Science, Soongsil University, Seoul, Republic of Korea.
Najib AbdellaouiSchool of Systems Biomedical Science, Soongsil University, Seoul, Republic of Korea.
Jae Yun LimSchool of Systems Biomedical Science, Soongsil University, Seoul, Republic of Korea.
Jeong-Ah SeoSchool of Systems Biomedical Science, Soongsil University, Seoul, Republic of Korea. sja815@ssu.ac.kr.

Funding

Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry 320036-5Rural Development Administration RS-2023-00230782
6 · The paper itself

Abstract

Seed microbial communities have been known to have a crucial role in the life cycle of a plant. In this study, we examined the distribution of the fungal communities in three compartments (husk, brown rice, and milled rice) of the fourteen rice seed samples. Ten fungal genera distributed throughout the three compartments of the rice seeds were identified as the core mycobiome of the rice seeds, regardless of collecting regions or cultivars. Based on the diversity analysis, the distribution of the fungal community in milled rice was found to be more diversified, evenly distributed, and differently clustered from the other two compartments. Among the core mycobiome, Moesziomyces dominated almost 80% of the fungal communities in the outer compartments of rice seeds, whereas the abundances of other endophytic pathogenic fungi declined. Our results provide that antagonistic yeast Moesziomyces may be able to control the endogenous pathogenic fungal communities in rice seeds, hence maintaining the quality of rice seeds. In addition, the distribution of fungal communities differs depending on the rice seed's compartment, indicating that the compartment can affect the distribution of the seed microbial community.

Indexed as

FungiMycobiomeOryzaSeedsAnalysis of VarianceBasidiomycotaCrops, AgriculturalMetagenomeRepublic of KoreaBrown riceHuskMilled riceMoesziomycesRice seed mycobiomeSeed compartment

Identifiers

PMID39375368
PMCPMC11458573

What OpenQuestion holds

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Registered trials

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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.