Melatonin: A Multifunctional Molecule That Triggers Defense Responses against High Light and Nitrogen Starvation Stress in Haematococcus pluvialis

2018 ◽  
Vol 66 (29) ◽  
pp. 7701-7711 ◽  
Author(s):  
Wei Ding ◽  
Yongteng Zhao ◽  
Jun-Wei Xu ◽  
Peng Zhao ◽  
Tao Li ◽  
...  
2002 ◽  
Vol 38 (2) ◽  
pp. 325-331 ◽  
Author(s):  
Mirash Zhekisheva ◽  
Sammy Boussiba ◽  
Inna Khozin‐Goldberg ◽  
Aliza Zarka ◽  
Zvi Cohen

2015 ◽  
Vol 12 ◽  
pp. 170-181 ◽  
Author(s):  
Luca Scibilia ◽  
Laura Girolomoni ◽  
Silvia Berteotti ◽  
Alessandro Alboresi ◽  
Matteo Ballottari

2020 ◽  
Vol 50 ◽  
pp. 101991 ◽  
Author(s):  
Xiaodan Wang ◽  
Yanan Song ◽  
Baoling Liu ◽  
Wei Hang ◽  
Renjian Li ◽  
...  

2014 ◽  
Vol 289 (44) ◽  
pp. 30387-30403 ◽  
Author(s):  
Lee Recht ◽  
Nadine Töpfer ◽  
Albert Batushansky ◽  
Noga Sikron ◽  
Yves Gibon ◽  
...  

The green alga Hematococcus pluvialis accumulates large amounts of the antioxidant astaxanthin under inductive stress conditions, such as nitrogen starvation. The response to nitrogen starvation and high light leads to the accumulation of carbohydrates and fatty acids as well as increased activity of the tricarboxylic acid cycle. Although the behavior of individual pathways has been well investigated, little is known about the systemic effects of the stress response mechanism. Here we present time-resolved metabolite, enzyme activity, and physiological data that capture the metabolic response of H. pluvialis under nitrogen starvation and high light. The data were integrated into a putative genome-scale model of the green alga to in silico test hypotheses of underlying carbon partitioning. The model-based hypothesis testing reinforces the involvement of starch degradation to support fatty acid synthesis in the later stages of the stress response. In addition, our findings support a possible mechanism for the involvement of the increased activity of the tricarboxylic acid cycle in carbon repartitioning. Finally, the in vitro experiments and the in silico modeling presented here emphasize the predictive power of large scale integrative approaches to pinpoint metabolic adjustment to changing environments.


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