Proteomics

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Lipids associated with plant systemic acquired resistance, identified by metabolomics approach in an Arabidopsis thaliana model


ABSTRACT: Background. Systemic acquired resistance (SAR) in plants protects against a wide variety of pathogens. Numerous studies in recent decades have focused on induction of SAR, but its molecular mechanism remains largely unknown. Methods. We used a metabolomics approach based on ultra-high-performance liquid chromatographic (UPLC) and mass spectrometric (MS) techniques to identify SAR-related lipid metabolites in an Arabidopsis thaliana model. Multiple statistical analyses were applied for identification of differentially accumulated metabolites. Results. Numerous lipids were implicated as potential factors in plant basal resistance and SAR; these include species of phosphatidic acid (PA), monogalactosyldiacylglycerol (MGDG), phosphatidylcholine (PC), phosphatidylethanolamine (PE), and triacylglycerol (TG). Conclusions. Our findings indicate that lipids accumulated in both local leaves induced for SAR and in systemic leaves during SAR, while others only accumulate in local SAR-induced leaves or in systemic leaves during SAR. These findings will facilitate future studies of molecular basis of SAR

ORGANISM(S): Arabidopsis Thaliana

SUBMITTER: Xuan Huang  

PROVIDER: PXD027990 | iProX | Wed Aug 18 00:00:00 BST 2021

REPOSITORIES: iProX

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Publications

Lipids associated with plant-bacteria interaction identified using a metabolomics approach in an <i>Arabidopsis thaliana</i> model.

Song Jian-Bo JB   Huang Rui-Ke RK   Guo Miao-Jie MJ   Zhou Qian Q   Guo Rui R   Zhang Shu-Yuan SY   Yao Jing-Wen JW   Bai Ya-Ni YN   Huang Xuan X  

PeerJ 20220427


<h4>Background</h4>Systemic acquired resistance (SAR) protects plants against a wide variety of pathogens. In recent decades, numerous studies have focused on the induction of SAR, but its molecular mechanisms remain largely unknown.<h4>Methods</h4>We used a metabolomics approach based on ultra-high-performance liquid chromatographic (UPLC) and mass spectrometric (MS) techniques to identify SAR-related lipid metabolites in an <i>Arabidopsis thaliana</i> model. Multiple statistical analyses were  ...[more]

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