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Rosenwaser, S.

Publications and source records attributed to Rosenwaser, S..

2 recordsLinked to original sources

Dark-induced inactivation of the carbon assimilation process requires a water water cycle driven oxidative burst

Chloroplast metabolism is constantly fine-tuned by light availability through the perception and transmission of reductive and oxidative signals that activate or deactivate distinct metabolic enzymes. The reducing power originating from the photosynthetic electron transport chain has been shown to fuel the redox regulatory network, linking electron transport to the reductive activation of photosynthetic enzymes. However, the source of the oxidizing equivalents required to reverse photosynthetic enzyme activation and drive them toward an oxidized, inactive state has not yet been experimentally demonstrated. Here, we resolve redox dynamics associated with carbon assimilation inactivation by combining time-resolved redox imaging during the light-to-dark transition (LDT) with gas-exchange-based measurements. Dark-induced inactivation of carbon assimilation proved oxygen-dependent and coincided with an oxygen-dependent oxidative burst triggered during the LDT. This oxidative burst was suppressed under conditions that blocked electron transport to PSI or in plants in which PSI was photoinactivated. Notably, pgr5 and pgrl1ab mutants exhibited attenuated oxidative bursts and suppressed LDT-associated carbon assimilation inactivation, demonstrating that PGR5/PGRL1-dependent activity is required to generate the oxidative burst that drives CBC inactivation during LDT. These results establish a direct mechanistic link between oxygen- and PSI-dependent oxidative bursts and the inhibition of photosynthesis and mark the water-water cycle (WWC) as the primary source of the transient accumulation of oxidative equivalents that drive inactivation of Calvin-Benson cycle enzymes in darkness.

plant biology↗

Whole-Plant Physiological Identification and Quantification of Disease Progression

Visual estimates of plant symptoms are traditionally used to quantify disease severity. Yet, the methodologies used to assess these phenotypes are often subjective and do not allow tracking of disease progression from very early stages. Here, we hypothesized that quantitative analysis of whole-plant physiological vital functions can be used to objectively determine plant health, providing a more sensitive way to detect disease. We studied the tomato wilt that is caused by Fusarium oxysporum f. sp. lycopersici. Physiological performance of infected and non-infected tomato plants was compared using a whole-plant pot-based lysimeter functional-phenotyping system in a semi-environmentally controlled greenhouse. Water-balance traits of the plants were measured continuously and simultaneously in a quantitative manner. Infected plants exhibited early reductions in transpiration and biomass gain, which preceded visual disease symptoms. These changes in transpiration proved to be effective quantitative indicators for assessing both plant susceptibility to infection and virulence of the fungus. Physiological changes linked to fungal outgrowth and toxin release contributed to reduced hydraulic conductance during initial infection stages. The functional-phenotyping method objectively captures early-stage disease progression, advancing plant disease research and management. This approach emphasizes the potential of quantitative whole-plant physiological analysis over traditional visual estimates for understanding and detecting plant diseases.

plant biology↗