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1H NMR metabolomics analysis of oil palm stem tissue infected by Ganoderma boninense based on field severity Indices.
Pancoro, Adi; Karima, Elfina; Apriyanto, Ardha; Effendi, Yunus.
Afiliación
  • Pancoro A; School of Life Sciences and Technology, Bandung Institute of Technology, Bandung, 40132, Indonesia. adi@sith.itb.ac.id.
  • Karima E; School of Life Sciences and Technology, Bandung Institute of Technology, Bandung, 40132, Indonesia.
  • Apriyanto A; Astra Agro Lestari Tbk, Research and Development, Jakarta, 13920, Indonesia.
  • Effendi Y; Biological Science Department, Al-Azhar Indonesia University, Jakarta, 12110, Indonesia.
Sci Rep ; 12(1): 21087, 2022 12 06.
Article en En | MEDLINE | ID: mdl-36473892
ABSTRACT
Basal stem rot disease (BSR) caused by G. boninense affects most oil palm plants in Southeast Asia. This disease can be fatal to palm oil production. BSR shows no signs on the tree in the early stages of infection. Therefore, it is essential to find an approach that can detect BSR disease in oil palm, especially at any level of disease severity in the field. This study aims to identify biomarkers of BSR disease in oil palm stem tissue based on various disease severity indices in the field using 1H NMR-based metabolomics analysis. The crude extract of oil palm stem tissue with four disease severity indices was analyzed by 1H NMR metabolomics. Approximately 90 metabolites from oil palm stem tissue were identified.Twenty of these were identified as metabolites that significantly differentiated the four disease severity indices. These metabolites include the organic acid group, the carbohydrate group, the organoheterocyclic compound group, and the benzoid group. In addition, different tentative biomarkers for different disease severity indices were also identified. These tentative biomarkers consist of groups of organic acids, carbohydrates, organoheterocyclic compounds, nitrogenous organic compounds, and benzene. There are five pathways in oil palm that are potentially affected by BSR disease.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Metabolómica Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article País de afiliación: Indonesia

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Metabolómica Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article País de afiliación: Indonesia