Paraquat(1,1’-dimethyl-4,4’-bipyridinium dichloride,PQ)has been widely used as a broad spectrum nonselective herbicide in agriculture for decades(Baldwin et al.,1968).Plants absorb PQ from their environment and tran...Paraquat(1,1’-dimethyl-4,4’-bipyridinium dichloride,PQ)has been widely used as a broad spectrum nonselective herbicide in agriculture for decades(Baldwin et al.,1968).Plants absorb PQ from their environment and transport to the chloroplasts,the site of its action where it competes for electrons from photosystem I(PSI)and cyclically generates superoxide that is converted to H2O2by superoxide dismutases(SODs),resultantly accumulating a large amount of reactive oxygen species(ROS)and thereby killing plants(Farrington et al.,1973).展开更多
Plants produce a variety of metabolites that are essential for plant growth and human health.To fully understand the diversity of metabolites in certain plants,lots of methods have been developed for metabolites detec...Plants produce a variety of metabolites that are essential for plant growth and human health.To fully understand the diversity of metabolites in certain plants,lots of methods have been developed for metabolites detection and data processing.In the data-processing procedure,how to effectively reduce false-positive peaks,analyze large-scale metabolic data,and annotate plant metabolites remains challenging.In this review,we introduce and discuss some prominent methods that could be exploited to solve these problems,including a five-step filtering method for reducing false-positive signals in LC-MS analysis,QPMASS for analyzing ultra-large GC-MS data,and MetDNA for annotating metabolites.The main applications of plant metabolomics in species discrimination,metabolic pathway dissection,population genetic studies,and some other aspects are also highlighted.To further promote the development of plant metabolomics,more effective and integrated methods/platforms for metabolite detection and comprehensive databases for metabolite identification are highly needed.With the improvement of these technologies and the development of genomics and transcriptomics,plant metabolomics will be widely used in many fields.展开更多
基金supported by the National Natural Science Foundation of China(31770273)。
文摘Paraquat(1,1’-dimethyl-4,4’-bipyridinium dichloride,PQ)has been widely used as a broad spectrum nonselective herbicide in agriculture for decades(Baldwin et al.,1968).Plants absorb PQ from their environment and transport to the chloroplasts,the site of its action where it competes for electrons from photosystem I(PSI)and cyclically generates superoxide that is converted to H2O2by superoxide dismutases(SODs),resultantly accumulating a large amount of reactive oxygen species(ROS)and thereby killing plants(Farrington et al.,1973).
基金supported by the Strategic Priority Research Program of the Chinese Academy of Sciences(XDB27010202)the National Natural Science Foundation of China(31920103003)the National Key Research and Development Program of China(2016YFD0100904).
文摘Plants produce a variety of metabolites that are essential for plant growth and human health.To fully understand the diversity of metabolites in certain plants,lots of methods have been developed for metabolites detection and data processing.In the data-processing procedure,how to effectively reduce false-positive peaks,analyze large-scale metabolic data,and annotate plant metabolites remains challenging.In this review,we introduce and discuss some prominent methods that could be exploited to solve these problems,including a five-step filtering method for reducing false-positive signals in LC-MS analysis,QPMASS for analyzing ultra-large GC-MS data,and MetDNA for annotating metabolites.The main applications of plant metabolomics in species discrimination,metabolic pathway dissection,population genetic studies,and some other aspects are also highlighted.To further promote the development of plant metabolomics,more effective and integrated methods/platforms for metabolite detection and comprehensive databases for metabolite identification are highly needed.With the improvement of these technologies and the development of genomics and transcriptomics,plant metabolomics will be widely used in many fields.
