| Literature DB >> 35982691 |
Zhaorong Mi1,2, Yingying Ma1,2, Pinlin Liu1,2, Haoyi Zhang1,2, Lu Zhang1,2, Wenqing Jia1,2, Xiaopei Zhu1,2, Yanli Wang1,2, Chan Zhang3, Lin Du1,2, Xilin Li1,2, Haitao Chen1,2, Tao Han1,2, Huichao Liu1,2.
Abstract
Metabolomics is an effective tool to test the response of plants to environmental stress; however, the relationships between metabolites and biological endpoints remained obscure in response to drought stress. Carex breviculmis is widely used in forage production, turf management, and landscape application and it is particularly resistant to drought stress. We investigated the metabolomic responses of C. breviculmis to drought stress by imposing a 22-day natural soil water loss. The results showed that water-deficit restrained plant growth, reducing plant height, leaf fresh weight, and total weight, however, increasing soluble protein content and malondialdehyde content. In total, 129 differential metabolites in the leaves were detected between drought and control using the Ultrahigh Performance Liquid Chromatography-Mass Spectrometer (UPLC-MS) method. Drought enhanced most of the primary and secondary metabolites in the differential metabolites. Almost all the sugars, amino acids, organic acids, phytohormones, nucleotides, phenylpropanoids and polyketides in the differential metabolites were negatively correlated with plant height and leaf fresh weight, while they were positively correlated with soluble protein content and malondialdehyde content. Metabolic pathway analysis showed that drought stress significantly affected aminoacyl-tRNA biosynthesis, TCA cycling, starch and sucrose metabolism. Our study is the first statement on metabolomic responses to drought stress in the drought-enduring plant C. breviculmis. According to the result, the coordination between diverse metabolic pathways in C. breviculmis enables the plant to adapt to a drought environment. This study will provide a systematic framework for explaining the metabolic plasticity and drought tolerance mechanisms of C. breviculmis under drought stress.Entities:
Keywords: Carex breviculmis; TCA cycle; amino acid; biological endpoint; drought stress; metabolic profiling
Year: 2022 PMID: 35982691 PMCID: PMC9380063 DOI: 10.3389/fpls.2022.945441
Source DB: PubMed Journal: Front Plant Sci ISSN: 1664-462X Impact factor: 6.627
Figure 1Growth characters of Carex breviculmis. (A) Plant height. (B) Crown breadth. (C) Leaf length. (D) Leaf width. (E) Fresh weight. (F) Dry weight. Asterisk (*) denotes a significant difference at p < 0.05. Vertical bars indicate standard error (n = 4).
Figure 2The MDA content, Proline content, Soluble protein content and SOD activity of C. breviculmis. (A) MDA. (B) Proline. (C) Soluble protein. (D) SOD activity. Asterisk (*) denotes a significant difference at p < 0.05. Vertical bars indicate standard error (n = 4).
Figure 3Heatmap clustering of the relative contents of the 129 differential metabolites of C. breviculmis. Each row represents a metabolite and each column represents a sample. The warmer color indicates higher content and the colder color denotes lower content.
Figure 4Relationships between the differential metabolite changes and biological endpoints of C. breviculmis induced by drought stress. (A) Plant height as the biological endpoint. (B) Leaf fresh weight as the biological endpoint. (C) Soluble protein content as the biological endpoint. (D) MDA as the biological endpoint. The red and blue circles represent active and passive coefficients, respectively. The sizes of the circles represent the variable importance projection (VIP) values.
Figure 5Top 20 metabolic pathways of C. breviculmis affected by drought stress via pathway analysis from differential metabolites. The pathway impact is computed from the pathway topological analysis and represented via the circle size. The p values obtained from pathway enrichment analysis showed both by the x-axis (−log10) and color.
Figure 6Effects of drought stress on the central metabolic pathways of C. breviculmis. The metabolites in the red or blue text were the differential metabolites detected in the present work. The words in the red/blue represent up-regulation/down-regulation of metabolites under drought treatments, respectively. Arrows with full/dotted lines denote the direct/indirect reactions, respectively.