Evidence map›Paper›PMID 39799378›Full record

ArticleEnvironmental microbiome2025

Variability of microbiomes in winter rye, wheat, and triticale affected by snow mold: predicting promising microorganisms for the disease control.

Ildar T Sakhabutdinov, Inna B Chastukhina, Egor A Ryazanov, Sergey N Ponomarev, Olga A Gogoleva, Alexander S Balkin, Viktor N Korzun, Mira L Ponomareva, Vladimir Y Gorshkov

Abstract read
In one paragraph

Article in Environmental microbiome, 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

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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.

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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

9 authors.

Ildar T SakhabutdinovFederal Research Center "Kazan Scientific Center of the Russian Academy of Sciences", Kazan, 420111, Russia.
Inna B ChastukhinaFederal Research Center "Kazan Scientific Center of the Russian Academy of Sciences", Kazan, 420111, Russia.
Egor A RyazanovFederal Research Center "Kazan Scientific Center of the Russian Academy of Sciences", Kazan, 420111, Russia.
Sergey N PonomarevFederal Research Center "Kazan Scientific Center of the Russian Academy of Sciences", Kazan, 420111, Russia.
Olga A GogolevaFederal Research Center "Kazan Scientific Center of the Russian Academy of Sciences", Kazan, 420111, Russia.
Alexander S BalkinInstitute for Cellular and Intracellular Symbiosis, Ural Branch of the Russian Academy of Sciences, Orenburg, 460000, Russia.
Viktor N KorzunKWS SAAT SE & Co. KGaA, Grimsehlstr. 31, 37555, Einbeck, Germany.
Mira L PonomarevaFederal Research Center "Kazan Scientific Center of the Russian Academy of Sciences", Kazan, 420111, Russia.
Vladimir Y GorshkovFederal Research Center "Kazan Scientific Center of the Russian Academy of Sciences", Kazan, 420111, Russia. gvy84@mail.ru.

Funding

Government assignment for the FRC Kazan Scientific Center of RAS 124050300040-5Russian Science Foundation 23-16-00086
6 · The paper itself

Abstract

backgroundSnow mold caused by different psychrophilic phytopathogenic fungi is a devastating disease of winter cereals. The variability of the snow mold pathocomplex (the quantitative composition of snow mold fungi) has not been evaluated across different crops or different agrocenoses, and no microbial taxa have been predicted at the whole-microbiome level as potential effective snow mold control agents. Our study aimed to assess the variability of the snow mold pathocomplex in different winter cereal crops (rye, wheat, and triticale) in different agrocenoses following the peak disease progression and to arrange a hierarchical list of microbial taxa predicted to be the main candidates to prevent or, conversely, stimulate the development of snow mold pathogens.

resultsThe variability of microbiomes between different crops within a particular agrocenosis was largely determined by fungal communities, whereas the variability of microbiomes of a particular crop in different agrocenoses was largely determined by bacterial communities. The snow mold pathocomplex was the most "constant" in rye, with the lowest level of between-replicate variability and between-agrocenoses variability and (similar to the triticale snow mold pathocomplex) strong dominance of Microdochium over other snow mold fungi. The wheat snow mold pathocomplex was represented by different snow mold fungi, including poorly investigated Phoma sclerotioides. To predict snow mold-control microorganisms, a conveyor of statistical methods was formed and applied; this conveyor enables considering not only the correlation between the abundance of target taxa and a phytopathogen but also the stability and fitness of taxa within plant-associated communities and the reproducibility of the predicted effect of taxa under different conditions. This conveyor can be widely used to search for biological agents against various plant infectious diseases.

conclusionsThe top indicator microbial taxa for winter wheat and rye following the winter period were Ph. sclerotioides and Microdochium, respectively, both of which are causal agents of snow mold disease. Bacteria from the Cellulomonas, Lechevalieria, and Pseudoxanthomonas genera and fungi from the Cladosporium, Entimomentora, Pseudogymnoascus, and Cistella genera are prime candidates for testing their plant-protective properties against Microdochium-induced snow mold disease and for further use in agricultural practice.

Indexed as

Biological plant disease controlMicrodochiumPlant infectious diseasesPlant microbiomeSnow moldWinter cereal crops

Identifiers

PMID39799378
PMCPMC11724586

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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.