Abstract
Designing and developing new biostimulants is a crucial process which requires an accurate testing of the product effects on the morpho-physiological traits of plants and a deep understanding of the mechanism of action of selected products. Product screening approaches using omics technologies have been found to be more efficient and cost effective in finding new biostimulant substances. A screening protocol based on the use of high-throughput phenotyping platform for screening new vegetal-derived protein hydrolysates (PHs) for biostimulant activity followed by a metabolomic analysis to elucidate the mechanism of the most active PHs has been applied on tomato crop. Eight PHs (A-G, I) derived from enzymatic hydrolysis of seed proteins of Leguminosae and Brassicaceae species were foliarly sprayed twice during the trial. A non-ionic surfactant Triton X-100 at 0.1% was also added to the solutions before spraying. A control treatment foliarly sprayed with distilled water containing 0.1% Triton X-100 was also included. Untreated and PH-treated tomato plants were monitored regularly using high-throughput non-invasive imaging technologies. The phenotyping approach we used is based on automated integrative analysis of photosynthetic performance, growth analysis, and color index analysis. The digital biomass of the plants sprayed with PH was generally increased. In particular, the relative growth rate and the growth performance were significantly improved by PHs A and I, respectively, compared to the untreated control plants. Kinetic chlorophyll fluorescence imaging did not allow to differentiate the photosynthetic performance of treated and untreated plants. Finally, MS-based untargeted metabolomics analysis was performed in order to characterize the functional mechanisms of selected PHs. The treatment modulated the multi-layer regulation process that involved the ethylene precursor and polyamines and affected the ROS-mediated signaling pathways. Although further investigation is needed to strengthen our findings, metabolomic data suggest that treated plants experienced a metabolic reprogramming following the application of the tested biostimulants. Nonetheless, our experimental data highlight the potential for combined use of high-throughput phenotyping and metabolomics to facilitate the screening of new substances with biostimulant properties and to provide a morpho-physiological and metabolomic gateway to the mechanisms underlying PHs action on plants.
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Claims 8
Claim · model-written summary
Protein hydrolysates generally increased digital biomass.
- Taxon
- Tomato
Solanum lycopersicumt0 - Treatment
- PHe0
- Outcome
- digital biomasse0
- Direction
- increasede0
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“The digital biomass of the plants sprayed with PH was generally increased”
t0“Tomato”
Claim · model-written summary
PH A significantly improved relative growth rate compared with untreated controls.
- Taxon
- Tomato
Solanum lycopersicumt0 - Treatment
- PHs Ae0
- Outcome
- relative growth ratee0
- Direction
- improvede0
- Comparator
- untreated control plantse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“the relative growth rate and the growth performance were significantly improved by PHs A and I, respectively, compared to the untreated control plants”
t0“Tomato”
Claim · model-written summary
PH I significantly improved growth performance compared with untreated controls.
- Taxon
- Tomato
Solanum lycopersicumt0 - Treatment
- Ie0
- Outcome
- growth performancee0
- Direction
- improvede0
- Comparator
- untreated control plantse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“the relative growth rate and the growth performance were significantly improved by PHs A and I, respectively, compared to the untreated control plants”
t0“Tomato”
Claim · model-written summary
Chlorophyll fluorescence imaging did not differentiate photosynthetic performance between treated and untreated plants.
- Taxon
- Tomato
Solanum lycopersicumt0 - Outcome
- photosynthetic performancee0
- Direction
- did not allow to differentiatee0
- Comparator
- treated and untreated plantse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“Kinetic chlorophyll fluorescence imaging did not allow to differentiate the photosynthetic performance of treated and untreated plants”
t0“Tomato”
Claim · model-written summary
Treatment modulated a regulatory process involving ethylene precursor and polyamines.
- Taxon
- Tomato
Solanum lycopersicumt0 - Treatment
- treatmente0
- Compound
- ethylene precursor and polyaminese0
- Outcome
- multi-layer regulation processe0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“The treatment modulated the multi-layer regulation process that involved the ethylene precursor and polyamines”
t0“Tomato”
Claim · model-written summary
Treatment affected ROS-mediated signaling pathways.
- Taxon
- Tomato
Solanum lycopersicumt0 - Treatment
- treatmente1
- Outcome
- ROS-mediated signaling pathwayse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“affected the ROS-mediated signaling pathways”
e1“The treatment modulated the multi-layer regulation process that involved the ethylene precursor and polyamines and affected the ROS-mediated signaling pathways”
t0“Tomato”
Claim · model-written summary
Metabolomic data suggest metabolic reprogramming after biostimulant application.
- Taxon
- Tomato
Solanum lycopersicumt0 - Treatment
- tested biostimulantse0
- Outcome
- metabolic reprogramminge0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“metabolomic data suggest that treated plants experienced a metabolic reprogramming following the application of the tested biostimulants”
t0“Tomato”
Claim · model-written summary
Combined phenotyping and metabolomics may facilitate screening of biostimulant substances.
- Taxon
- Tomato
Solanum lycopersicumt0 - Outcome
- screening of new substances with biostimulant propertiese0
- Qualifier
- combined use of high-throughput phenotyping and metabolomicse0
Not reportedComparatorValue
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“combined use of high-throughput phenotyping and metabolomics to facilitate the screening of new substances with biostimulant properties”
t0“Tomato”
The same questions in other papers
ph · growth · Solanum lycopersicum (tomato)Positive and negative results
9 papers in the same direction as this paper · 9 in the opposite direction
- positive
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