Understanding the Biostimulant Action of Vegetal-Derived Protein Hydrolysates by High-Throughput Plant Phenotyping and Metabolomics: A Case Study on Tomato
Status PubMed-not-MEDLINE Jazyk angličtina Země Švýcarsko Médium electronic-ecollection
Typ dokumentu časopisecké články
PubMed
30800134
PubMed Central
PMC6376207
DOI
10.3389/fpls.2019.00047
Knihovny.cz E-zdroje
- Klíčová slova
- ROS signaling, functional biostimulant characterization, integrative image-based high-throughput phenotyping, metabolomics, morpho-physiological traits, protein hydrolysates,
- Publikační typ
- časopisecké články MeSH
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.
Arcadia Srl Rivoli Veronese Italy
Department of Agricultural Sciences University of Naples Federico 2 Naples Italy
Department of Agriculture and Forest Sciences University of Tuscia Viterbo Italy
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Agudelo-Romero P., Erban A., Sousa L., Pais M. S., Kopka J., Fortes A. M. (2013). Search for transcriptional and metabolic markers of grape pre-ripening and ripening and insights into specific aroma development in three Portuguese cultivars. PLoS One 8:e60422. 10.1371/journal.pone.0060422 PubMed DOI PMC
Awlia M., Nigro A., Fajkus J., Schmoeckel S. M., Negrão S., Santelia D., et al. (2016). High-throughput non-destructive phenotyping of traits that contribute to salinity tolerance in Arabidopsis thaliana. Front. Plant Sci. 7:1414. 10.3389/fpls.2016.01414 PubMed DOI PMC
Baker N. R. (2008). Chlorophyll fluorescence: a probe of photosynthesis in vivo. Annu. Rev. Plant Biol. 59 89–113. 10.1146/annurev.arplant.59.032607.092759 PubMed DOI
Calvo P., Nelson L., Kloepper J. W. (2014). Agricultural uses of plant biostimulants. Plant Soil 383 3–41. 10.1007/s11104-014-2131-8 DOI
Caviglia M., Mazorra Morales L. M., Concellón A., Gergoff Grozeff G. E., Wilson M., Foyer C. H., et al. (2018). Ethylene signaling triggered by low concentrations of ascorbic acid regulates biomass accumulation in Arabidopsis thaliana. Free Rad. Biol. Med. 122 130–136. 10.1016/j.freeradbiomed.2018.01.032 PubMed DOI
Colla G., Cardarelli M., Bonini P., Rouphael Y. (2017a). Foliar applications of protein hydrolysate, plant and seaweed extracts increase yield but differentially modulate fruit quality of greenhouse tomato. HortScience 52 1214–1220. 10.21273/hortsci12200-17 DOI
Colla G., Hoagland L., Ruzzi M., Cardarelli M., Bonini P., Canaguier R., et al. (2017b). Biostimulant action of protein hydrolysates: unravelling their effects on plant physiology and microbiome. Front. Plant Sci. 8:2202 10.3389/fpls.2017.02202 PubMed DOI PMC
Colla G., Nardi S., Cardarelli M., Ertani A., Lucini L., Canaguier R., et al. (2015). Protein hydrolysates as biostimulants in horticulture. Sci. Hortic. 196 28–38. 10.1016/j.scienta.2015.08.037 PubMed DOI
Colla G., Rouphael Y., Canaguier R., Svecova E., Cardarelli M. (2014). Biostimulant action of a plant-derived protein hydrolysate produced through enzymatic hydrolysis. Front. Plant Sci. 5:448. 10.3389/fpls.2014.00448 PubMed DOI PMC
Colla G., Rouphael Y., Lucini L., Canaguier R., Stefanoni W., Fiorillo A., et al. (2016). Protein hydrolysate-based biostimulants: origin, biological activity and application methods. Acta Hortic. 1148 27–34. 10.17660/actahortic.2016.1148.3 DOI
Digruber T., Sass L., Cseri A., Paul K., Nagy A. V., Remenyik J., et al. (2018). Stimulation of energy willow biomass with triacontanol and seaweed extract. Ind. Crops Products 120 104–112. 10.1016/j.indcrop.2018.04.047 DOI
Dubois M., Van den Broeck L., Inzé D. (2018). The pivotal role of ethylene in plant Growth. Trends Plant Sci. 23 311–323. 10.1016/j.tplants.2018.01.003 PubMed DOI PMC
Dudits D., Török K., Cseri A., Paul K., Nagy A. V., Nagy B., et al. (2016). Response of organ structure and physiology to autotetraploidization in early development of energy willow (Salix viminalis). Plant Physiol. 170 1504–1523. 10.1104/pp.15.01679 PubMed DOI PMC
Ertani A., Cavani L., Pizzeghello D., Brandellero E., Altissimo A., Ciavatta C., et al. (2009). Biostimulant activities of two protein hydrolysates on the growth and nitrogen metabolism in maize seedlings. J. Plant. Nutr. Soil Sci. 172 237–244. 10.1002/jpln.200800174 DOI
Ertani A., Nardi S., Altissimo A. (2012). Review: long-term research activity on the biostimulant properties of natural origin compounds. Acta Hortic. 1009 181–188. 10.17660/actahortic.2013.1009.22 DOI
Ertani A., Pizzeghello D., Francioso O., Tinti A., Nardi S. (2016). Biological activity of vegetal extracts containing phenols on plant metabolism. Molecules 21:205. 10.3390/molecules21020205 PubMed DOI PMC
Ertani A., Schiavon M., Muscolo A., Nardi S. (2013). Alfalfa plant-derived biostimulant stimulate short-term growth of salt stressed Zea mays L. plants. Plant Soil 364 145–158. 10.1007/s11104-012-1335-z DOI
Ertani A., Schiavon M., Nardi S. (2017). Transcriptome-wide identification of differentially expressed genes in Solanum Lycopersicon L. in response to an alfalfa-protein hydrolysate using microarrays. Front. Plant Sci. 8:1159. 10.3389/fpls.2017.01159 PubMed DOI PMC
European Commission (2016). Proposal for a Regulation Laying Down rules on the Making Available on the Market of CE Marked Fertilizing Products and Amending Regulations (EC)1069/2009 and (EC)1107/2009.COM (2016). Brussels: European Commission, 157.
Fahlgren N., Gehan M. A., Baxter I. (2015). Lights, camera, action: high-throughput plant phenotyping is ready for a close-up. Curr. Opin. Plant Biol. 24 93–99. 10.1016/j.pbi.2015.02.006 PubMed DOI
Fehér-Juhász E., Majer P., Sass L., Lantos C., Csiszár J., Turóczy Z., et al. (2014). Phenotyping shows improved physiological traits and seed yield of transgenic wheat plants expressing the alfalfa aldose reductase under permanent drought stress. Acta Physiol. Plant. 92 663–673. 10.1007/s11738-013-1445-0 DOI
Fernández V., Eichert T. (2009). Uptake of hydrophilic solutes through plant leaves: current state of knowledge and perspectives of foliar fertilization. Crit. Rev. Plant Sci. 28 36–68. 10.1080/07352680902743069 DOI
Feussner I., Polle A. (2015). What the transcriptome does not tell – proteomics and metabolomics are closer to the plants’ patho-phenotype. Curr. Opin. Plant Biol. 26 26–31. 10.1016/j.pbi.2015.05.023 PubMed DOI
Foyer C. H. (2018). Reactive oxygen species, oxidative signaling and the regulation of photosynthesis. Environ. Exp. Bot. 154 134–142. 10.1016/j.envexpbot.2018.05.003 PubMed DOI PMC
Foyer C. H., Ruban A. V., Noctor G. (2017). Viewing oxidative stress through the lens of oxidative signalling rather than damage. Biochem. J. 474 877–883. 10.1042/BCJ20160814 PubMed DOI PMC
Gémes K., Kim Y. J., Park K. Y., Moschou P. N., Andronis E., Valassaki C., et al. (2016). An NADPH-oxidase/polyamine oxidase feedback loop controls oxidative burst under salinity. Plant Physiol. 172 1418–1431. 10.1104/pp.16.01118 PubMed DOI PMC
Gémes K., Mellidou I, Karamanoli K., Beris D., Park K. Y., Matsi T., et al. (2017). Deregulation of apoplastic polyamine oxidase affects development and salt response of tobacco plants. J. Plant Physiol. 211 1–12. 10.1016/j.jplph.2016.12.012 PubMed DOI
Genty B., Briantais J. M., Baker N. R. (1989). The relationship between the quantum yield of photosynthetic electron transport and quenching of chlorophyll fluorescence. Biochim. Biophys. Acta 990 87–92. 10.1016/s0304-4165(89)80016-9 DOI
Ghandchi F. P., Caetano-Anolles G., Clough S. J., Ort D. R. (2016). Investigating the control of chlorophyll degradation by genomic correlation mining. PLoS One 11:e0162327. 10.1371/journal.pone.0162327 PubMed DOI PMC
Gill S. S., Tuteja N. (2010). Polyamines and abiotic stress tolerance in plants. Plant Signal. Behav. 7 26–33. 10.4161/psb.5.1.10291 PubMed DOI PMC
Großkinsky D. K., Svensgaard J., Christensen S., Roitsch T. (2015). Plant phenomics and the need for physiological phenotyping across scales to narrow the genotype-to-phenotype knowledge gap. J. Exp. Bot. 66 5429–5440. 10.1093/jxb/erv345 PubMed DOI
Habben J. E., Bao X., Bate N. J., DeBruin J. L., Dolan D., Hasegawa D., et al. (2014). Transgenic alteration of ethylene biosynthesis increases grain yield in maize under field drought-stress conditions. Plant Biotechnol. J. 12 685–693. 10.1111/pbi.12172 PubMed DOI
Haplern M., Bar-Tal A., Ofek M., Minz D., Muller T., Yermiyahu U. (2015). The use of biostimulants for enhancing nutrient uptake. Adv. Agron. 130 141–174. 10.1016/bs.agron.2014.10.001 DOI
Henley W. J. (1993). Measurement and interpretation of photosynthetic light-response curves in algae in the context of photoinhibition and diel changes. J. Phycol. 29 729–739. 10.1111/j.0022-3646.1993.00729.x DOI
Hou Q., Ufer G., Bartels D. (2016). Lipid signalling in plant responses to abiotic stress. Plant Cell Environ. 39 1029–1048. 10.1111/pce.12666 PubMed DOI
Hou Z.-H., Liu G., Hua Hou L., Xia Wang L., et al. (2013). Regulatory Function of polyamine oxidase-generated hydrogen peroxide in ethylene-induced stomatal closure in Arabidopsis thaliana. J. Integr. Agric. 12 251–262. 10.1016/S2095-3119(13)60224-5 DOI
Houle D., Govindaraju D. R., Omholt S. (2010). Phenomics: the next challenge. Nat. Rev. Genet. 11 855–866. 10.1038/nrg2897 PubMed DOI
Klukas C., Chen D., Pape J. M. (2014). Integrated analysis platform: an open-source information system for high-throughput plant phenotyping. Plant Physiol. 165 506–518. 10.1104/pp.113.233932 PubMed DOI PMC
Kumar A., Altabella T., Taylor M., Tiburcio A. F. (1997). Recent advances in polyamine research. Trends Plant Sci. 2 124–130. 10.1016/S1360-1385(97)01013-3 DOI
Kumar P., Lucini L., Rouphael Y., Cardarelli M., Kalunke R. M., Colla G. (2015). Insight into the role of grafting and arbuscular mycorrhiza on cadmium stress tolerance in tomato. Front. Plant Sci. 6:477. 10.3389/fpls.2015.00477 PubMed DOI PMC
Lamichhane S., Sen P., Dickens A. M., Hyötyläinen T., Orešiè M. (2018). An overview of metabolomics data analysis: current tools and future perspectives. Comp. Anal. Chem. 82 387–413. 10.1016/bs.coac.2018.07.001 PubMed DOI
Lucini L., Rouphael Y., Cardarelli M., Bonini P., Baffi C., Colla G. (2018). A vegetal biopolymer-based biostimulant promoted root growth in melon while triggering brassinosteroids and stress-related compounds. Front. Plant Sci. 9:472. 10.3389/fpls.2018.00472 PubMed DOI PMC
Lucini L., Rouphael Y., Cardarelli M., Canaguier R., Kumar P., Colla G. (2015). The effect of a plant-derived protein hydrolysate on metabolic profiling and crop performance of lettuce grown under saline conditions. Sci. Hortic. 182 124–133. 10.1016/j.scienta.2014.11.022 DOI
Meier R., Ruttkies C., Treutler H., Neumann S. (2017). Bioinformatics can boost metabolomics research. J. Biotechnol. 261 137–141. 10.1016/j.jbiotec.2017.05.018 PubMed DOI
Murchie E. H., Lawson T. (2013). Chlorophyll fluorescence analysis: a guide to good practice and understanding some new applications. J. Exp. Bot. 64 3983–3998. 10.1093/jxb/ert208 PubMed DOI
Nardi S., Pizzeghello D., Schiavon M., Ertani A. (2016). Plant biostimulants: physiological responses induced by protein hydrolyzed-based products and humic substances in plant metabolism. Sci. Agric. 73 18–23. 10.1590/0103-9016-2015-0006 DOI
Niculescu M., Bajenaru S., Gaidau C., Simion D., Felipescu L. (2009). Extraction of the protein components as amino-acids hydrolysates from chrome leather wastes through hydrolytic processes. Rev. Chim. 60 1070–1078.
Paul K., Deaìk Z., Csôsz M., Purnhauser L., Vass I. (2011). Characterization and early detection of tan spot disease in wheat in vivo with chlorophyll fluorescence imaging. Acta Biol. Szeged 55 87–90. 10.13140/2.1.3021.6320 DOI
Povero G., Mejia J. F., Di Tommaso D., Piaggesi A., Warrior P. (2016). A systematic approach to discover and characterize natural plant biostimulants. Front. Plant Sci. 7:435. 10.3389/fpls.2016.00435 PubMed DOI PMC
Rahaman M. M., Ahsan M. A., Gillani Z., Chen M. (2017). Digital biomass accumulation using high-throughput plant phenotype data analysis. J. Integr. Bioinform. 14:20170028. 10.1515/jib-2017-0028 PubMed DOI PMC
Rahaman M. M., Chen D., Gillani Z., Klukas C., Chen M. (2015). Advanced phenotyping and phenotype data analysis for the study of plant growth and development. Front. Plant Sci. 6:619. 10.3389/fpls.2015.00619 PubMed DOI PMC
Rascher U., Liebig M., Luttge U. (2000). Evaluation of instant light-response curves of chlorophyll fluorescence parameters obtained with a portable chlorophyll fluorometer on site in the field. Plant Cell Environ. 23 1397–1405. 10.1046/j.1365-3040.2000.00650.x DOI
Rouphael Y., Cardarelli M., Bonini P., Colla G. (2017a). Synergistic action of a microbial based biostimulant and a plant-derived protein hydrolysate enhances lettuce tolerance to alkalinity and salinity. Front. Plant Sci. 8:131. 10.3389/fpls.2017.00131 PubMed DOI PMC
Rouphael Y., Colla G., Giordano M., El-Nakhel C., Kyriacou M. C., De Pascale S. (2017b). Foliar applications of a legume-derived protein hydrolysate elicit dose dependent increases of growth, leaf mineral composition, yield and fruit quality in two greenhouse tomato cultivars. Sci. Hort. 226 353–360. 10.1016/j.scienta.2017.09.007 DOI
Rouphael Y., Colla G., Graziani G., Ritieni A., Cardarelli M., De Pascale S. (2017c). Phenolic composition, antioxidant activity and mineral profile in two seed-propagated artichoke cultivars as affected by microbial inoculants and planting time. Food Chem. 234 10–19. 10.1016/j.foodchem.2017.04.175 PubMed DOI
Rouphael Y., Colla G., Bernardo L., Kane D., Trevisan M., Lucini L. (2016). Zinc excess triggered polyamines accumulation in lettuce root metabolome, as compared to osmotic stress under high salinity. Front. Plant Sci. 7:842. 10.3389/fpls.2016.00842 PubMed DOI PMC
Rouphael Y., Kyriacou M., Vitaglione P., Giordano M., Pannico A., Colantuono A., et al. (2017d). Genotypic variation in nutritional and antioxidant profile among iceberg lettuce cultivars. Acta Sci. Pol. Hortorum Cultus 16 37–45. 10.24326/asphc.2017.3.4 DOI
Rouphael Y., Spiìchal L., Panzarova K., Casa R., Colla G. (2018). High-throughput plant phenotyping for developing novel biostimulants: from lab to field or from field to lab? Front. Plant Sci. 9:1197. 10.3389/fpls.2018.01197 PubMed DOI PMC
Salehi H., Chehregani A., Lucini L., Majd A., Gholami M. (2018). Morphological, proteomic and metabolomic insight into the effect of cerium dioxide nanoparticles to Phaseolus vulgaris L. under soil or foliar application. Sci. Tot. Envion. 616 1540–1551. 10.1016/j.scitotenv.2017.10.159 PubMed DOI
Schaller G. E. (2012). Ethylene and the regulation of plant development. BMC Biol. 10:9. 10.1186/1741-7007-10-9 PubMed DOI PMC
Shalaby S., Horwitz B. A. (2015). Plant phenolic compounds and oxidative stress: integrated signals in fungal–plant interactions. Curr. Genet. 61 347–357. 10.1007/s00294-014-0458-6 PubMed DOI
Small C. C., Degenhardt D. (2018). Plant growth regulators for enhancing revegetation success in reclamation: a review. Ecol. Engin. 118 43–51. 10.1016/j.ecoleng.2018.04.010 DOI
Subbarao S. B., Aftab Hussain I. S., Ganesh P. T. (2015). Biostimulant activity of protein hydrolysate: influence on plant growth and yield. J. Plant Sci. Res. 2:125.
Tschiersch H., Junker A., Meyer R. C., Altmann T. (2017). Establishment of integrated protocols for automated high throughput kinetic chlorophyll fluorescence analyses. Plant Methods 13:54. 10.1186/s13007-017-0204-4 PubMed DOI PMC
Tsugawa H. (2018). Advances in computational metabolomics and databases deepen the understanding of metabolisms. Curr. Opin. Biotechnol. 54 10–17. 10.1016/j.copbio.2018.01.008 PubMed DOI
Ugena L., Hýlová A., Podlešáková K., Humplík J. F., Doležal K., De Diego N., et al. (2018). Characterization of biostimulant mode of action using novel multitrait high-throughput screening of Arabidopsis germination and rosette growth. Front. Plant Sci. 9:1327. 10.3389/fpls.2018.01327 PubMed DOI PMC
Yakhin O. I., Lubyanov A. A., Yakhin I. A., Brown P. H. (2017). Biostimulants in plant science: a global perspective. Front. Plant Sci. 7:2049. 10.3389/fpls.2016.02049 PubMed DOI PMC
Presence and future of plant phenotyping approaches in biostimulant research and development