scholarly journals Wounding tomato fruit elicits ripening-stage specific changes in gene expression and production of volatile compounds

2015 ◽  
Vol 66 (5) ◽  
pp. 1511-1526 ◽  
Author(s):  
Valentina Baldassarre ◽  
Giovanni Cabassi ◽  
Natasha D. Spadafora ◽  
Alessio Aprile ◽  
Carsten T. Müller ◽  
...  
2021 ◽  
pp. 1-17
Author(s):  
Chau Thi Thu Nguyen ◽  
Ji Hyun Lee ◽  
Phu Tri Tran

BACKGROUND: The sweetness of highbush blueberries is a sensory quality standard for consumers. Changes in metabolites and expression of associated genes induce variation in the sensory quality of blueberries. OBJECTIVE: This work investigated the ripening mechanism of blueberries by measuring changes in organic acids and sugar content as well as the gene expression levels associated with sugar accumulation, such as β amylase, invertase, sucrose phosphate synthase, and tonoplast monosaccharide transporter genes, before and after harvesting. METHODS: We used three different blueberry cultivars (Duke, Sierra, and Elizabeth) that we harvested at two ripening stages in a randomized complete block design and then kept at room temperature or 4°C for 7 days. The organic acids and sugar content were measured via HPLC, and gene expression levels were analyzed by qPCR. RESULTS: Cultivars, ripening stage, and storage conditions affected the synthesis of sugars and degradation of organic acids to determine the sweetness in blueberries and the expression of tagged genes and analyses of compounds involved in the metabolic mechanism. CONCLUSIONS: The results provide insights into the mechanism underlying the ripening and the postharvest quality. This study may support the selection of suitable blueberry cultivars that meet customer demand.


2019 ◽  
Vol 10 ◽  
Author(s):  
Stefan Petrasch ◽  
Christian J. Silva ◽  
Saskia D. Mesquida-Pesci ◽  
Karina Gallegos ◽  
Casper van den Abeele ◽  
...  

Metabolites ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 152 ◽  
Author(s):  
Anastasiya Kuhalskaya ◽  
Micha Wijesingha Ahchige ◽  
Leonardo Perez de Souza ◽  
José Vallarino ◽  
Yariv Brotman ◽  
...  

Metabolic correlation networks have been used in several instances to obtain a deeper insight into the complexity of plant metabolism as a whole. In tomato (Solanum lycopersicum), metabolites have a major influence on taste and overall fruit quality traits. Previously a broad spectrum of metabolic and phenotypic traits has been described using a Solanum pennellii introgression-lines (ILs) population. To obtain insights into tomato fruit metabolism, we performed metabolic network analysis from existing data, covering a wide range of metabolic traits, including lipophilic and volatile compounds, for the first time. We provide a comprehensive fruit correlation network and show how primary, secondary, lipophilic, and volatile compounds connect to each other and how the individual metabolic classes are linked to yield-related phenotypic traits. Results revealed a high connectivity within and between different classes of lipophilic compounds, as well as between lipophilic and secondary metabolites. We focused on lipid metabolism and generated a gene-expression network with lipophilic metabolites to identify new putative lipid-related genes. Metabolite–transcript correlation analysis revealed key putative genes involved in lipid biosynthesis pathways. The overall results will help to deepen our understanding of tomato metabolism and provide candidate genes for transgenic approaches toward improving nutritional qualities in tomato.


2020 ◽  
Vol 144 (9) ◽  
pp. 797-805
Author(s):  
Shirin Roohigohar ◽  
Peter J. Prentis ◽  
Anthony R. Clarke

2018 ◽  
Vol 21 (1) ◽  
pp. 36-49 ◽  
Author(s):  
Maya Cherfaoui ◽  
Teresa Cecchi ◽  
Sonia Keciri ◽  
Lilya Boudriche

1999 ◽  
Vol 18 (6) ◽  
pp. 589-600 ◽  
Author(s):  
Hicham Zegzouti ◽  
Brian Jones ◽  
Pierre Frasse ◽  
Christel Marty ◽  
Beatrice Maitre ◽  
...  

Planta ◽  
2009 ◽  
Vol 231 (3) ◽  
pp. 755-765 ◽  
Author(s):  
Valentina Calvenzani ◽  
Moira Martinelli ◽  
Valerio Lazzeri ◽  
Deborah Giuntini ◽  
Chiara Dall’Asta ◽  
...  

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