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Screening of leaf extraction and storage conditions for eco-metabolomics studies.
Lang, Jakob; Ramos, Sergio E; Smohunova, Marharyta; Bigler, Laurent; Schuman, Meredith C.
  • Lang J; Department of Geography University of Zurich Zurich Switzerland.
  • Ramos SE; Department of Chemistry University of Zurich Zurich Switzerland.
  • Smohunova M; Department of Geography University of Zurich Zurich Switzerland.
  • Bigler L; Department of Chemistry University of Zurich Zurich Switzerland.
  • Schuman MC; Department of Geography University of Zurich Zurich Switzerland.
Plant Direct ; 8(4): e578, 2024 Apr.
Article en En | MEDLINE | ID: mdl-38601948
ABSTRACT
Mass spectrometry-based plant metabolomics is frequently used to identify novel natural products or study the effect of specific treatments on a plant's metabolism. Reliable sample handling is required to avoid artifacts, which is why most protocols mandate shock freezing of plant tissue in liquid nitrogen and an uninterrupted cooling chain. However, the logistical challenges of this approach make it infeasible for many ecological studies. Especially for research in the tropics, permanent cooling poses a challenge, which is why many of those studies use dried leaf tissue instead. We screened a total of 10 extraction and storage approaches for plant metabolites extracted from maize leaf tissue across two cropping seasons to develop a methodology for agroecological studies in logistically challenging tropical locations. All methods were evaluated based on changes in the metabolite profile across a 2-month storage period at different temperatures with the goal of reproducing the metabolite profile of the living plant as closely as possible. We show that our newly developed on-site liquid-liquid extraction protocol provides a good compromise between sample replicability, extraction efficiency, material logistics, and metabolite profile stability. We further discuss alternative methods which showed promising results and feasibility of on-site sample handling for field studies.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2024 Tipo del documento: Article