Effect of salt stress in the regulation of anthocyanins and color of Hibiscus flowers by digital image analysis

The effect of salt stress (200 mM NaCl for 28 days) on physiological characteristics of Hibiscus rosa-sinensis, such as abscisic acid (ABA) content, electrolyte leakage, and photochemical efficiency in leaves, and its influence on biomass production, anthocyanin composition, and color expression of...

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Detalles Bibliográficos
Autores: Trivellini, Alice, Gordillo Arrobas, Belén, Rodríguez Pulido, Francisco José, Borghesi, Eva, Ferrante, Antonio, Vernieri, Paolo, Quijada Morín, Natalia, González-Miret Martín, María Lourdes, Heredia Mira, Francisco José
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2014
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/155848
Acceso en línea:https://hdl.handle.net/11441/155848
https://doi.org/10.1021/jf502444u
Access Level:acceso abierto
Palabra clave:Anthocyanins
Color
Hibiscus rosa-sinensis
Image analysis
Salt stress
Descripción
Sumario:The effect of salt stress (200 mM NaCl for 28 days) on physiological characteristics of Hibiscus rosa-sinensis, such as abscisic acid (ABA) content, electrolyte leakage, and photochemical efficiency in leaves, and its influence on biomass production, anthocyanin composition, and color expression of flowers were evaluated. Salinity significantly increased electrolyte leakage and ABA content in leaves and reduced the flower fresh weight. Chlorophyll fluorescence parameters were lower in salt stress condition, compared to control. Moreover, salt stress negatively affected the content of anthocyanins (mainly cyanidin-3-sophoroside), which resulted in a visually perceptible loss of color. The detailed anthocyanin composition monitored by HPLC-DAD-MS and the color variations by digital image analysis due to salt stress showed that the effect was more noticeable at the basal portion of petals. A forward stepwise multiple regression was performed for predicting the content of anthocyanins from appearance characteristics obtained by image analysis, reaching R-square values up to 0.90.