Sailing in complex nutrient signaling networks:Where I am,where to go,and how to go?  

作　　者：Zhenzhen Zhang Zhaochen Zhong Yan Xiong 

机构地区：[1]College of Life Sciences,Fujian Agriculture and Forestry University,Fuzhou 350002,China [2]Haixia Institute of Science and Technology,Synthetic Biology Center,Fujian Agriculture and Forestry University,Fuzhou 350002,China

出　　处：《Molecular Plant》2023年第10期1635-1660,共26页分子植物（英文版）

基　　金：supported by the National Natural Science Foundation of China(grant nos.32230012 to Y.X.and 32300311 to Z.Zhong);the funding from Fujian Agriculture and Forestry University(to Y.X.).

摘　　要：To ensure survival and promote growth,sessile plants have developed intricate internal signaling networks tailored in diverse cells and organs with both shared and specialized functions that respond to various internal and external cues.A fascinating question arises:how can a plant cell or organ diagnose the spatial and temporal information it is experiencing to know“where I am,”and then is able to make the accurate specific responses to decide“where to go”and“how to go,”despite the absence of neuronal systems found in mammals.Drawing inspiration from recent comprehensive investigations into diverse nutrient signaling pathways in plants,this review focuses on the interactive nutrient signaling networks mediated by various nutrient sensors and transducers.We assess and illustrate examples of how cells and organs exhibit specific responses to changing spatial and temporal information within these interactive plant nutrient networks.In addition,we elucidate the underlying mechanisms by which plants employ posttranslational modification codes to integrate different upstream nutrient signals,thereby conferring response specificities to the signaling hub proteins.Furthermore,we discuss recent breakthrough studies that demonstrate the potential of modulating nutrient sensing and signaling as promising strategies to enhance crop yield,even with reduced fertilizer application.

关 键 词：nutrient sensing target of rapamycin glucose nitrogen sensor CROSSTALK PHOSPHORYLATION 

分 类 号：Q94[生物学—植物学]