2023
DOI: 10.1016/j.molp.2022.09.007
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Metabolomics-centered mining of plant metabolic diversity and function: Past decade and future perspectives

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Cited by 63 publications
(39 citation statements)
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“…Establishing the molecular mechanisms underlying 5M2NP’s toxicity and function as a defense regulator is an exciting prospect of this work. More generally, knowledge of the full functional repertoire of plant secondary metabolites will help to understand their ecology and evolution and lead to better applications for sustainable agriculture (Shen et al, 2023; Weng et al, 2021).…”
Section: Discussionmentioning
confidence: 99%
“…Establishing the molecular mechanisms underlying 5M2NP’s toxicity and function as a defense regulator is an exciting prospect of this work. More generally, knowledge of the full functional repertoire of plant secondary metabolites will help to understand their ecology and evolution and lead to better applications for sustainable agriculture (Shen et al, 2023; Weng et al, 2021).…”
Section: Discussionmentioning
confidence: 99%
“…The important role of metabolites and the factors governing metabolic variations among plants provides an insight to understand plant physiology and biology for better crop improvement in terms of yield and quality (Hong et al, 2016; Nakabayashi & Saito, 2015; Shen et al, 2023). Proteomics and metabolomics are both based on three technologies: fractionation to simplify complex mixtures; mass spectrometry (MS) of individual peptides and metabolites for their identification and quantification and bioinformatics analyses of observed data to corelate with genomic or metabolite databases (Singh et al, 2016).…”
Section: Omics Perspective Of Potassium Use Efficiency In Plantsmentioning
confidence: 99%
“…Thousands of metabolites can be detected in plant tissues using mass spectrometry. Metabolomics is a research discipline that integrates the capabilities of several types of research including analytical chemistry, statistics and biochemistry [ 8 ]. Metabolomics analysis involves the detection and quantification of metabolites with mass spectrometry or nuclear magnetic resonance, and integrates the resulting data with multivariate statistical techniques [ 9 , 10 ].…”
Section: Introductionmentioning
confidence: 99%