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Please note that, as of 21 September 2020, High-Throughput has been renamed to BioTech and is now published here.
Article

Expression Profiling of Candidate Genes in Sugar Beet Leaves Treated with Leonardite-Based Biostimulant

1
Department of Horticulture, Faculty of Agriculture, University of Maragheh, Maragheh 55136-553, Iran
2
Department of Crop Production and Plant Breeding, School of Agriculture, Shiraz University, Shiraz 7144165186, Iran
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Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, 35020 Legnaro (PD), Italy
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SIPCAM S.p.A., 20016 Pero (MI), Italy
5
Department of Agriculture, Food and Environment, University of Catania, 95131 Catania, Italy
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COPROB, 40061 Minerbio (BO), Italy
*
Author to whom correspondence should be addressed.
High-Throughput 2019, 8(4), 18; https://doi.org/10.3390/ht8040018
Received: 30 July 2019 / Revised: 4 October 2019 / Accepted: 5 October 2019 / Published: 11 October 2019
Leonardite-based biostimulants are a large class of compounds, including humic acid substances. Foliar application of biostimulants at field level improves plant growth, yield and quality through metabolic changes and stimulation of plant proton pumps. The present study aimed at identifying optimum dosage of BLACKJAK, a humic acid-based substance, which is able to modify genes involved in sugar beet growth. Thirty-three genes belonging to various biochemical pathway categories were tested in leaves of treated sugar beet (Beta vulgaris L.) samples to assess gene expression profiling in response to BLACKJAK. Seedlings of a diploid and multigerm variety were grown in plastic pots and sprayed with two dilutions of BLACKJAK (dilution 1:500–1.0 mg C L−1 and dilution 1:1000–0.5 mg C L−1). Leaf samples were collected after 24, 48, and 72 h treatment with BLACKJAK for each dilution. RNA was extracted and the quantification of gene expression was performed while using an OpenArray platform. Results of analysis of variance demonstrated that, 15 genes out of a total of 33 genes tested with OpenArray qPCR were significantly affected by treatment and exposure time. Analysis for annotation of gene products and pathways revealed that genes belonging to the mitochondrial respiratory pathways, nitrogen and hormone metabolisms, and nutrient uptake were up-regulated in the BLACKJAK treated samples. Among the up-regulated genes, Bv_PHT2;1 and Bv_GLN1 expression exerted a 2-fold change in 1:1000 and 1:500 BLACKJAK concentrations. Overall, the gene expression data in the BLACKJAK treated leaves demonstrated the induction of plant growth–related genes that were contributed almost to amino acid and nitrogen metabolism, plant defense system, and plant growth. View Full-Text
Keywords: biostimulant; BLACKJAK; gene expression profiling; humic acid; sugar beet biostimulant; BLACKJAK; gene expression profiling; humic acid; sugar beet
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MDPI and ACS Style

Hajizadeh, H.S.; Heidari, B.; Bertoldo, G.; Della Lucia, M.C.; Magro, F.; Broccanello, C.; Baglieri, A.; Puglisi, I.; Squartini, A.; Campagna, G.; Concheri, G.; Nardi, S.; Stevanato, P. Expression Profiling of Candidate Genes in Sugar Beet Leaves Treated with Leonardite-Based Biostimulant. High-Throughput 2019, 8, 18. https://doi.org/10.3390/ht8040018

AMA Style

Hajizadeh HS, Heidari B, Bertoldo G, Della Lucia MC, Magro F, Broccanello C, Baglieri A, Puglisi I, Squartini A, Campagna G, Concheri G, Nardi S, Stevanato P. Expression Profiling of Candidate Genes in Sugar Beet Leaves Treated with Leonardite-Based Biostimulant. High-Throughput. 2019; 8(4):18. https://doi.org/10.3390/ht8040018

Chicago/Turabian Style

Hajizadeh, Hanifeh S., Bahram Heidari, Giovanni Bertoldo, Maria C. Della Lucia, Francesco Magro, Chiara Broccanello, Andrea Baglieri, Ivana Puglisi, Andrea Squartini, Giovanni Campagna, Giuseppe Concheri, Serenella Nardi, and Piergiorgio Stevanato. 2019. "Expression Profiling of Candidate Genes in Sugar Beet Leaves Treated with Leonardite-Based Biostimulant" High-Throughput 8, no. 4: 18. https://doi.org/10.3390/ht8040018

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