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作 者:Xiujie LIU Kai HUANG Chengcai CHU
机构地区:[1]Guangdong Laboratory for Lingnan Modern Agriculture,State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources,South China Agricultural University,Guangzhou 510642,China [2]Key Laboratory for Enhancing Resource Use Efficiency of Crops in South China,Ministry of Agriculture and Rural Affairs,Guangzhou 510642,China [3]Guangdong Key Laboratory of Plant Molecular Breeding,South China Agricultural University,Guangzhou 510642,China.
出 处:《Frontiers of Agricultural Science and Engineering》2025年第1期3-15,共13页农业科学与工程前沿(英文版)
基 金:supported by International Partnership Program of Chinese Academy of Sciences(153E11KYSB20190059);G2P Project of Ministry of Science and Technology(2020YFE0202300);Guangdong Basic and Applied Basic Research Foundation(2023A1515110406)。
摘 要:Plant roots are crucial for nitrogen uptake.To efficiently acquire N,root system architecture(RSA),which includes the length and quantity of primary roots,lateral roots and root hairs,is dynamically regulated by the surrounding N status.For crops,an ideotype RSA characterized by enhanced plasticity to meet various N demands under fluctuating N conditions is fundamental for high N utilization and subsequent yield.Therefore,exploring the genetic basis of N-dependent RSA,especially in crops,is of great significance.This review summarizes how plants sense both local and systemic N signals and transduce them to downstream pathways.Additionally,it presents the current understanding of genetic basis of N-dependent root plasticity in Arabidopsis and major crops.Also,to fully understand the mechanisms underlying N-dependent root morphogenesis and effectively identify loci associated with an ideotype RSA in crops,more attention should be paid to non-destructive,in situ phenotyping of root traits,cell-type-specific exploration of gene functions,and crosstalk between root architecture,environment and management in the future.
关 键 词:NITROGEN nitrogen signals PHYTOHORMONES prospectives root system architecture
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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