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Metabolic profiles of peanut (Arachis hypogaea L.) in response to Puccinia arachidis fungal infection
Background Puccinia arachidis fungus causes rust disease in the peanut plants (Arachis hypogaea L.), which leads to high yield loss. Metabolomic profiling of Arachis hypogaea was performed to identify the pathogen-induced production of metabolites involved in the defense mechanism of peanut plants....
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10591357/ https://www.ncbi.nlm.nih.gov/pubmed/37872498 http://dx.doi.org/10.1186/s12864-023-09725-3 |
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author | Rathod, Visha Rathod, Khyati Tomar, Rukam S. Tatamiya, Ritisha Hamid, Rasmieh Jacob, Feba Munshi, Nasreen Shakil |
author_facet | Rathod, Visha Rathod, Khyati Tomar, Rukam S. Tatamiya, Ritisha Hamid, Rasmieh Jacob, Feba Munshi, Nasreen Shakil |
author_sort | Rathod, Visha |
collection | PubMed |
description | Background Puccinia arachidis fungus causes rust disease in the peanut plants (Arachis hypogaea L.), which leads to high yield loss. Metabolomic profiling of Arachis hypogaea was performed to identify the pathogen-induced production of metabolites involved in the defense mechanism of peanut plants. In this study, two peanut genotypes, one susceptible (JL-24) and one resistant (GPBD-4) were inoculated with Puccinia arachidis fungal pathogen. The metabolic response was assessed at the control stage (0 day without inoculation), 2 DAI (Day after inoculation), 4 DAI and 6 DAI by Gas Chromatography-Mass Spectrometry (GC-MS). Results About 61 metabolites were identified by NIST library, comprising sugars, phenols, fatty acids, carboxylic acids and sugar alcohols. Sugars and fatty acids were predominant in leaf extracts compared to other metabolites. Concentration of different metabolites such as salicylic acid, mannitol, flavonoid, 9,12-octadecadienoic acid, linolenic acid and glucopyranoside were higher in resistant genotype than in susceptible genotype during infection. Systemic acquired resistance (SAR) and hypersensitive reaction (HR) components such as oxalic acid was elevated in resistant genotype during pathogen infection. Partial least square-discriminant analysis (PLS-DA) was applied to GC-MS data for revealing metabolites profile between resistant and susceptible genotype during infection. Conclusion The phenol content and oxidative enzyme activity i.e. catalase, peroxidase and polyphenol oxidase were found to be very high at 4 DAI in resistant genotype (p-value < 0.01). This metabolic approach provides information about bioactive plant metabolites and their application in crop protection and marker-assisted plant breeding. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09725-3. |
format | Online Article Text |
id | pubmed-10591357 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105913572023-10-24 Metabolic profiles of peanut (Arachis hypogaea L.) in response to Puccinia arachidis fungal infection Rathod, Visha Rathod, Khyati Tomar, Rukam S. Tatamiya, Ritisha Hamid, Rasmieh Jacob, Feba Munshi, Nasreen Shakil BMC Genomics Research Background Puccinia arachidis fungus causes rust disease in the peanut plants (Arachis hypogaea L.), which leads to high yield loss. Metabolomic profiling of Arachis hypogaea was performed to identify the pathogen-induced production of metabolites involved in the defense mechanism of peanut plants. In this study, two peanut genotypes, one susceptible (JL-24) and one resistant (GPBD-4) were inoculated with Puccinia arachidis fungal pathogen. The metabolic response was assessed at the control stage (0 day without inoculation), 2 DAI (Day after inoculation), 4 DAI and 6 DAI by Gas Chromatography-Mass Spectrometry (GC-MS). Results About 61 metabolites were identified by NIST library, comprising sugars, phenols, fatty acids, carboxylic acids and sugar alcohols. Sugars and fatty acids were predominant in leaf extracts compared to other metabolites. Concentration of different metabolites such as salicylic acid, mannitol, flavonoid, 9,12-octadecadienoic acid, linolenic acid and glucopyranoside were higher in resistant genotype than in susceptible genotype during infection. Systemic acquired resistance (SAR) and hypersensitive reaction (HR) components such as oxalic acid was elevated in resistant genotype during pathogen infection. Partial least square-discriminant analysis (PLS-DA) was applied to GC-MS data for revealing metabolites profile between resistant and susceptible genotype during infection. Conclusion The phenol content and oxidative enzyme activity i.e. catalase, peroxidase and polyphenol oxidase were found to be very high at 4 DAI in resistant genotype (p-value < 0.01). This metabolic approach provides information about bioactive plant metabolites and their application in crop protection and marker-assisted plant breeding. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09725-3. BioMed Central 2023-10-23 /pmc/articles/PMC10591357/ /pubmed/37872498 http://dx.doi.org/10.1186/s12864-023-09725-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Rathod, Visha Rathod, Khyati Tomar, Rukam S. Tatamiya, Ritisha Hamid, Rasmieh Jacob, Feba Munshi, Nasreen Shakil Metabolic profiles of peanut (Arachis hypogaea L.) in response to Puccinia arachidis fungal infection |
title | Metabolic profiles of peanut (Arachis hypogaea L.) in response to Puccinia arachidis fungal infection |
title_full | Metabolic profiles of peanut (Arachis hypogaea L.) in response to Puccinia arachidis fungal infection |
title_fullStr | Metabolic profiles of peanut (Arachis hypogaea L.) in response to Puccinia arachidis fungal infection |
title_full_unstemmed | Metabolic profiles of peanut (Arachis hypogaea L.) in response to Puccinia arachidis fungal infection |
title_short | Metabolic profiles of peanut (Arachis hypogaea L.) in response to Puccinia arachidis fungal infection |
title_sort | metabolic profiles of peanut (arachis hypogaea l.) in response to puccinia arachidis fungal infection |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10591357/ https://www.ncbi.nlm.nih.gov/pubmed/37872498 http://dx.doi.org/10.1186/s12864-023-09725-3 |
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