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Transcriptional and Physiological Analyses to Assess the Effects of a Novel Biostimulant in Tomato
This work aimed to study the effects in tomato (Solanum lycopersicum L.) of foliar applications of a novel calcium-based biostimulant (SOB01) using an omics approach involving transcriptomics and physiological profiling. A calcium-chloride fertilizer (SOB02) was used as a product reference standard....
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8787302/ https://www.ncbi.nlm.nih.gov/pubmed/35087552 http://dx.doi.org/10.3389/fpls.2021.781993 |
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author | Della Lucia, Maria Cristina Baghdadi, Ali Mangione, Francesca Borella, Matteo Zegada-Lizarazu, Walter Ravi, Samathmika Deb, Saptarathi Broccanello, Chiara Concheri, Giuseppe Monti, Andrea Stevanato, Piergiorgio Nardi, Serenella |
author_facet | Della Lucia, Maria Cristina Baghdadi, Ali Mangione, Francesca Borella, Matteo Zegada-Lizarazu, Walter Ravi, Samathmika Deb, Saptarathi Broccanello, Chiara Concheri, Giuseppe Monti, Andrea Stevanato, Piergiorgio Nardi, Serenella |
author_sort | Della Lucia, Maria Cristina |
collection | PubMed |
description | This work aimed to study the effects in tomato (Solanum lycopersicum L.) of foliar applications of a novel calcium-based biostimulant (SOB01) using an omics approach involving transcriptomics and physiological profiling. A calcium-chloride fertilizer (SOB02) was used as a product reference standard. Plants were grown under well-watered (WW) and water stress (WS) conditions in a growth chamber. We firstly compared the transcriptome profile of treated and untreated tomato plants using the software RStudio. Totally, 968 and 1,657 differentially expressed genes (DEGs) (adj-p-value < 0.1 and |log2(fold change)| ≥ 1) were identified after SOB01 and SOB02 leaf treatments, respectively. Expression patterns of 9 DEGs involved in nutrient metabolism and osmotic stress tolerance were validated by real-time quantitative reverse transcription PCR (RT-qPCR) analysis. Principal component analysis (PCA) on RT-qPCR results highlighted that the gene expression profiles after SOB01 treatment in different water regimes were clustering together, suggesting that the expression pattern of the analyzed genes in well water and water stress plants was similar in the presence of SOB01 treatment. Physiological analyses demonstrated that the biostimulant application increased the photosynthetic rate and the chlorophyll content under water deficiency compared to the standard fertilizer and led to a higher yield in terms of fruit dry matter and a reduction in the number of cracked fruits. In conclusion, transcriptome and physiological profiling provided comprehensive information on the biostimulant effects highlighting that SOB01 applications improved the ability of the tomato plants to mitigate the negative effects of water stress. |
format | Online Article Text |
id | pubmed-8787302 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87873022022-01-26 Transcriptional and Physiological Analyses to Assess the Effects of a Novel Biostimulant in Tomato Della Lucia, Maria Cristina Baghdadi, Ali Mangione, Francesca Borella, Matteo Zegada-Lizarazu, Walter Ravi, Samathmika Deb, Saptarathi Broccanello, Chiara Concheri, Giuseppe Monti, Andrea Stevanato, Piergiorgio Nardi, Serenella Front Plant Sci Plant Science This work aimed to study the effects in tomato (Solanum lycopersicum L.) of foliar applications of a novel calcium-based biostimulant (SOB01) using an omics approach involving transcriptomics and physiological profiling. A calcium-chloride fertilizer (SOB02) was used as a product reference standard. Plants were grown under well-watered (WW) and water stress (WS) conditions in a growth chamber. We firstly compared the transcriptome profile of treated and untreated tomato plants using the software RStudio. Totally, 968 and 1,657 differentially expressed genes (DEGs) (adj-p-value < 0.1 and |log2(fold change)| ≥ 1) were identified after SOB01 and SOB02 leaf treatments, respectively. Expression patterns of 9 DEGs involved in nutrient metabolism and osmotic stress tolerance were validated by real-time quantitative reverse transcription PCR (RT-qPCR) analysis. Principal component analysis (PCA) on RT-qPCR results highlighted that the gene expression profiles after SOB01 treatment in different water regimes were clustering together, suggesting that the expression pattern of the analyzed genes in well water and water stress plants was similar in the presence of SOB01 treatment. Physiological analyses demonstrated that the biostimulant application increased the photosynthetic rate and the chlorophyll content under water deficiency compared to the standard fertilizer and led to a higher yield in terms of fruit dry matter and a reduction in the number of cracked fruits. In conclusion, transcriptome and physiological profiling provided comprehensive information on the biostimulant effects highlighting that SOB01 applications improved the ability of the tomato plants to mitigate the negative effects of water stress. Frontiers Media S.A. 2022-01-11 /pmc/articles/PMC8787302/ /pubmed/35087552 http://dx.doi.org/10.3389/fpls.2021.781993 Text en Copyright © 2022 Della Lucia, Baghdadi, Mangione, Borella, Zegada-Lizarazu, Ravi, Deb, Broccanello, Concheri, Monti, Stevanato and Nardi. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Della Lucia, Maria Cristina Baghdadi, Ali Mangione, Francesca Borella, Matteo Zegada-Lizarazu, Walter Ravi, Samathmika Deb, Saptarathi Broccanello, Chiara Concheri, Giuseppe Monti, Andrea Stevanato, Piergiorgio Nardi, Serenella Transcriptional and Physiological Analyses to Assess the Effects of a Novel Biostimulant in Tomato |
title | Transcriptional and Physiological Analyses to Assess the Effects of a Novel Biostimulant in Tomato |
title_full | Transcriptional and Physiological Analyses to Assess the Effects of a Novel Biostimulant in Tomato |
title_fullStr | Transcriptional and Physiological Analyses to Assess the Effects of a Novel Biostimulant in Tomato |
title_full_unstemmed | Transcriptional and Physiological Analyses to Assess the Effects of a Novel Biostimulant in Tomato |
title_short | Transcriptional and Physiological Analyses to Assess the Effects of a Novel Biostimulant in Tomato |
title_sort | transcriptional and physiological analyses to assess the effects of a novel biostimulant in tomato |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8787302/ https://www.ncbi.nlm.nih.gov/pubmed/35087552 http://dx.doi.org/10.3389/fpls.2021.781993 |
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