Record Details

Regulatory feedback response mechanisms to phosphate starvation in rice

NIPGR Digital Knowledge Repository (NDKR)

View Archive Info
 
 
Field Value
 
Title Regulatory feedback response mechanisms to phosphate starvation in rice
 
Creator Ajmera, Ishan
Shi, Jing
Giri, Jitender
Wu, Ping
Stekel, Dov J.
Lu, Chungui
Hodgman, T. Charlie
 
Subject Plant sciences
Statistics
Regulatory networks
Applied mathematics
Nonlinear dynamics
 
Description Accepted date: 24 November 2017
Phosphorus is a growth-limiting nutrient for plants. The growing scarcity of phosphate stocks threatens global food security. Phosphate-uptake regulation is so complex and incompletely known that attempts to improve phosphorus use efficiency have had extremely limited success. This study improves our understanding of the molecular mechanisms underlying phosphate uptake by investigating the transcriptional dynamics of two regulators: the Ubiquitin ligase PHO2 and the long non-coding RNA IPS1. Temporal measurements of RNA levels have been integrated into mechanistic mathematical models using advanced statistical techniques. Models based solely on current knowledge could not adequately explain the temporal expression profiles. Further modeling and bioinformatics analysis have led to the prediction of three regulatory features: the PHO2 protein mediates the degradation of its own transcriptional activator to maintain constant PHO2 mRNA levels; the binding affinity of the transcriptional activator of PHO2 is impaired by a phosphate-sensitive transcriptional repressor/inhibitor; and the extremely high levels of IPS1 and its rapid disappearance upon Pi re-supply are best explained by Pi-sensitive RNA protection. This work offers both new opportunities for plant phosphate research that will be essential for informing the development of phosphate efficient crop varieties, and a foundation for the development of models integrating phosphate with other stress responses.
We acknowledge input from Mudassar Iqbal, Jean-Louis Dinh and Mohammed
Cherkaoui Rbati (on parameter estimation), and Faraz Khan and Lu Jiang (on
laboratory procedures). This work was supported by the Biotechnology and Biological
Sciences Research Council [grant number BB/J020443/1], a Vice-Chancellor Research
Excellence Award (#598) and Building Experience/Skills Travel (BEST) Award from
University of Nottingham (UK) and Gen Foundation scholarship (to IA), and a
University of Nottingham/Zhejiang University collaborative project grant (to TCH and
CL).
 
Date 2018-01-29T08:06:52Z
2018-01-29T08:06:52Z
2018
 
Type Article
 
Identifier NPJ Systems Biology and Applications, 4: 4.
2056-7189
http://223.31.159.10:8080/jspui/handle/123456789/832
https://www.nature.com/articles/s41540-017-0041-0
10.1038/s41540-017-0041-0
 
Language en_US
 
Format application/pdf
 
Publisher Nature Publishing Group