Claim · model-written summary
The TOM Streptomyces consortium reduced disease severity of Fusarium wilt in tomato by approximately 60% relative to infected controls.
- Taxon
- tomato
Solanum lycopersicumt0 - Treatment
- TOM consortiume5
- Interactor
- Fusarium oxysporum f. sp. radicis-lycopersici
Fusarium oxysporum f. sp. radicis-lycopersicie5pathogen - Second interactor
- Streptomyces
Streptomycest0biocontrol_agent - Outcome
- disease severitye5
- Direction
- reducede5
- Value
- approximately 60%e5
- Comparator
- infected controlse5
Verbatim
t0“Responses of Tomato to a Growth-Promoting Streptomyces Consortium”
e5“The TOM consortium also reduced disease severity caused by Fusarium oxysporum f. sp. radicis-lycopersici by approximately 60% compared to infected controls”
Title
Local and Systemic Transcriptional Responses of Tomato to a Growth-Promoting Streptomyces Consortium
Grigorios Thomaidis; Georgios Boutzikas; Athanasios Alexopoulos; et al. Plants 2026. doi:10.3390/plants15050827
Other claims from this paper (9)
- Intervention effect Application of the TOM Streptomyces consortium significantly promoted root and shoot growth in tomato.
- Observation Tomato roots and leaves show a predominance of down-regulated genes in local and systemic transcriptional responses.
- Observation In tomato roots, defense- and cell wall-related processes are selectively attenuated.
- Observation In tomato roots, genes for phytoalexin biosynthesis, phosphate starvation responses and hormonal regulation are increased in expression.
- Observation In tomato leaves, stress-related responses are reduced in transcriptional reprogramming.
- Observation In tomato leaves, metabolic and growth-associated functions are activated in transcriptional reprogramming.
- Observation Five Streptomyces isolates from the tomato TOM consortium inhibit fungi in vitro.
- Observation The genomes of the selected Streptomyces strains show diverse taxonomic affiliations.
- Observation The selected Streptomyces genomes carry a rich repertoire of biosynthetic gene clusters, including numerous low-similarity clusters.
