4.7 Review

Nitric oxide signalling in plant nanobiology: current status and perspectives

期刊

JOURNAL OF EXPERIMENTAL BOTANY
卷 72, 期 3, 页码 928-940

出版社

OXFORD UNIV PRESS
DOI: 10.1093/jxb/eraa470

关键词

Carbon nanotubes; chitosan nanoparticles; metal oxide nanoparticles; nanobiology; nanosensor; nitric oxide; nitric oxide-releasing nanoparticles; plants

资金

  1. National Research, Development and Innovation Office [NKFI-8, K129511, NKIFH PD 131589]
  2. Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences [BO/00751/16/8]

向作者/读者索取更多资源

Plant nanobiology research provides a scientific basis for the agricultural use of nanoparticles, showing that nanomaterials can stimulate endogenous NO synthesis and signaling in plants and also have stress-alleviating effects. Evaluating the effects of NO-releasing NPs on plants has recently begun, and the development of an NP-based nanosensor for NO detection in plants offers new perspectives for basic research and plant health evaluation in agriculture.
Plant nanobiology as a novel research field provides a scientific basis for the agricultural use of nanoparticles (NPs). Plants respond to the presence of nanomaterials by synthesizing signal molecules, such as the multifunctional gaseous nitric oxide (NO). Several reports have described the effects of different nanomaterials (primarily chitosan NPs, metal oxide NPs, and carbon nanotubes) on endogenous NO synthesis and signalling in different plant species. Other works have demonstrated the ameliorating effect of exogenous NO donor (primarily sodium nitroprusside) treatments on NP-induced stress. NO-releasing NPs are preferred alternatives to chemical NO donors, and evaluating their effects on plants has recently begun. Previous studies clearly indicate that endogenous NO production in the presence of nanomaterials or NO levels increased by exogenous treatments (NO-releasing NPs or chemical NO donors) exerts growth-promoting and stress-ameliorating effects in plants. Furthermore, an NP-based nanosensor for NO detection in plants has been developed, providing a new and excellent perspective for basic research and also for the evaluation of plants' health status in agriculture.

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