Differential metabolomic responses of PAMP-triggered immunity and effector-triggered immunity in Arabidopsis suspension cells

Misra, Biswapriya B.; Armas, Evaldo de; Chen, Sixue

doi:10.1007/s11306-016-0984-y

Cited by 16 publications

(15 citation statements)

References 76 publications

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“…Furthermore, through our global translatome analysis, we discovered novel regulators and metabolic pathways involved in RPS2-mediated ETI. Although these metabolic pathways have been suggested to play a role in plant defense by many studies based on cDNA array, RNA-seq, and/or metabolic profiling (Scheideler et al, 2002;Ward et al, 2010;Aliferis et al, 2014;Misra et al, 2016;Schwachtje et al, 2018), our discovery provides a strong piece of evidence that plants actively control biosynthetic pathways for phenylalanine and phenylalanine-derived compounds at both transcriptional and translational levels to activate the ETI defense program.…”

Section: Discussionmentioning

confidence: 93%

Translational Regulation of Metabolic Dynamics during Effector-Triggered Immunity

et al. 2020

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Recent studies have shown that global translational reprogramming is an early activation event in patterntriggered immunity, when plants recognize microbe-associated molecular patterns. However, it is not fully known whether translational regulation also occurs in subsequent immune responses, such as effectortriggered immunity (ETI). In this study, we performed genome-wide ribosome profiling in Arabidopsis upon RPS2-mediated ETI activation and discovered that specific groups of genes were translationally regulated, mostly in coordination with transcription. These genes encode enzymes involved in aromatic amino acid, phenylpropanoid, camalexin, and sphingolipid metabolism. The functional significance of these components in ETI was confirmed by genetic and biochemical analyses. Our findings provide new insights into diverse translational regulation of plant immune responses and demonstrate that translational coordination of metabolic gene expression is an important strategy for ETI.

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Section: Discussionmentioning

confidence: 93%

Translational Regulation of Metabolic Dynamics during Effector-Triggered Immunity

et al. 2020

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“…S2 ). To identify responsive metabolites, we imposed a threshold of p value ≤0.05 in Student’s t test and at least 20% in fold change 38 , 39 . For these analyses, each treatment sample, i.e., ABA 2 min, ABA 15 min, ABA 60 min, and EtOH 15 min was compared to the 0 min sample.…”

Section: Resultsmentioning

confidence: 99%

“…After normalization against the chlorpropamide peak area (internal standard), peak areas were log2 transformed for statistical analysis between sample groups. A p value ≤0.05 (Student’s t test) together with at least 20% change in normalized MS peak area were used as criteria to define metabolic features with significant changes between samples 38 , 39 . MS/MS spectra of peaks present in at least four replicates of 0 min (control) sample and those peaks showing significant changes upon ABA treatment were exported from PeakView TM software (AB Sciex Pte Ltd., USA).…”

Section: Methodsmentioning

confidence: 99%

Metabolic Signatures in Response to Abscisic Acid (ABA) Treatment in Brassica napus Guard Cells Revealed by Metabolomics

Zhu

Assmann

2017

Sci Rep

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Drought can severely damage crops, resulting in major yield losses. During drought, vascular land plants conserve water via stomatal closure. Each stomate is bordered by a pair of guard cells that shrink in response to drought and the associated hormone abscisic acid (ABA). The activation of complex intracellular signaling networks underlies these responses. Therefore, analysis of guard cell metabolites is fundamental for elucidation of guard cell signaling pathways. Brassica napus is an important oilseed crop for human consumption and biodiesel production. Here, non-targeted metabolomics utilizing gas chromatography mass spectrometry (GC-MS/MS) and liquid chromatography mass spectrometry (LC-MS/MS) were employed for the first time to identify metabolic signatures in response to ABA in B. napus guard cell protoplasts. Metabolome profiling identified 390 distinct metabolites in B. napus guard cells, falling into diverse classes. Of these, 77 metabolites, comprising both primary and secondary metabolites were found to be significantly ABA responsive, including carbohydrates, fatty acids, glucosinolates, and flavonoids. Selected secondary metabolites, sinigrin, quercetin, campesterol, and sitosterol, were confirmed to regulate stomatal closure in Arabidopsis thaliana, B. napus or both species. Information derived from metabolite datasets can provide a blueprint for improvement of water use efficiency and drought tolerance in crops.

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“…For univariant analysis of differentially accumulated metabolites under Mg deficiency, a double filtering procedure with t -test and fold change was used. We set up a threshold of p -value < 0.05 in Student's t -test and more than 20% in fold change (|log2FC| > 0.26) for metabolites to be considered “responsive” (Misra et al, 2016 ; Zhu and Assmann, 2017 ). Furthermore, responsive features with p -value < 0.001 and fold change over 50% (|log2FC| > 0.59) were considered “very significant” changes (Table S1 ).…”

Section: Resultsmentioning

confidence: 99%

Metabolomics Reveals Distinct Carbon and Nitrogen Metabolic Responses to Magnesium Deficiency in Leaves and Roots of Soybean [Glycine max (Linn.) Merr.]

et al. 2017

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Magnesium (Mg) deficiency, a widespread yet overlooked problem in agriculture, has been reported to retard plant growth and development, through affecting key metabolic pathways. However, the metabolic responses of plant to Mg deficiency is still not fully understood. Here we report a metabolomic study to evaluate the metabolic responses to Mg deficiency in soybean leaves and roots. Hydroponic grown soybean were exposed to Mg starvation for 4 and 8 days, respectively. Metabolic changes in the first mature trifoliolate leaves and roots were quantified by conducting GC-TOF-MS based metabolomic analysis. Principal component analysis (PCA) showed that Mg deficient plants became distinguishable from controls at 4 days after stress (DAS) at metabolic level, and were clearly discriminated at 8 DAS. Mg deficiency could cause large metabolite alterations on carbon and nitrogen metabolism. At 8 DAS, carbon allocation from shoot to root is decreased by Mg deficiency. Remarkably, most amino acids (such as phenylalanine, asparagine, leucine, isoleucine, glycine, glutamine, and serine) showed pronounced accumulation in the leaves, while most organic acids (including pyruvic acid, citric acid, 2-keto-glutaric acid, succinic acid, fumaric acid, and malic acid) were significantly decreased in the roots. Our study shows that the carbon and nitrogen metabolic responses are distinct in leaves and roots under Mg deficiency.

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Differential metabolomic responses of PAMP-triggered immunity and effector-triggered immunity in Arabidopsis suspension cells

Cited by 16 publications

References 76 publications

Translational Regulation of Metabolic Dynamics during Effector-Triggered Immunity

Translational Regulation of Metabolic Dynamics during Effector-Triggered Immunity

Metabolic Signatures in Response to Abscisic Acid (ABA) Treatment in Brassica napus Guard Cells Revealed by Metabolomics

Metabolomics Reveals Distinct Carbon and Nitrogen Metabolic Responses to Magnesium Deficiency in Leaves and Roots of Soybean [Glycine max (Linn.) Merr.]

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