Martin Schäfer

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About Martin Schäfer:

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SEEK ID: https://data.chembiosys.de/people/57

Location: Germany

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Joined: 23rd Mar 2015

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Are Plant Defenses Chemicals Commonly Sequestered and Metabolized by their Herbivores to Function as Infochemicals in Higher Trophic Level Interactions in Nature?

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Organisms: Nicotiana attenuata, Manduca sexta, Geocoris pallens

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Max-Planck-Institut für Chemische Ökologie

Country: Germany

City: Jena

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Mind the mushroom: natural product biosynthetic genes and enzymes of Basidiomycota.

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Covering: up to September 2020 Mushroom-forming fungi of the division Basidiomycota have traditionally been recognised as prolific producers of structurally diverse and often bioactive secondary …

Authors: M. Gressler, N. A. Lohr, T. Schafer, S. Lawrinowitz, P. S. Seibold, D. Hoffmeister

Date Published: 28th Apr 2021

Publication Type: Journal

PubMed ID: 33404035

Citation: Nat Prod Rep. 2021 Apr 28;38(4):702-722. doi: 10.1039/d0np00077a.

Created: 10th May 2021 at 14:01

NaMYB8 regulates distinct, optimally distributed herbivore defense traits.

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When herbivores attack, plants specifically reconfigure their metabolism. Herbivory on the wild tobacco Nicotiana attenuata strongly induces the R2R3 MYB transcriptional activator MYB8, which was …

Authors: M. Schafer, C. Brutting, S. Xu, Z. Ling, A. Steppuhn, I. T. Baldwin, M. C. Schuman

Date Published: 27th Aug 2017

Publication Type: Not specified

PubMed ID: 28843024

Citation: J Integr Plant Biol. 2017 Aug 26. doi: 10.1111/jipb.12593.

Created: 23rd Nov 2017 at 09:09

High-throughput quantification of more than 100 primary- and secondary-metabolites, and phytohormones by a single solid-phase extraction based sample preparation with analysis by UHPLC-HESI-MS/MS

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BACKGROUND: Plant metabolites are commonly functionally classified, as defense- or growth-related phytohormones, primary and specialized metabolites, and so forth. Analytical procedures for the … quantifications of these metabolites are challenging because the metabolites can vary over several orders of magnitude in concentrations in the same tissues and have very different chemical characteristics. Plants clearly adjust their metabolism to respond to their prevailing circumstances in very sophisticated ways that blur the boundaries among these functional or chemically defined classifications. But if plant biologists want to better understand the processes that are important for a plant's adaptation to its environment, procedures are needed that can provide simultaneous quantifications of the large range of metabolites that have the potential to play central roles in these adjustments in a cost and time effective way and with a low sample consumption. RESULTS: Here we present a method that combines well-established methods for the targeted analysis of phytohormones, including jasmonates, salicylic acid, abscisic acid, gibberellins, auxins and cytokinins, and extends it to the analysis of inducible and constitutive defense compounds, as well as the primary metabolites involved in the biosynthesis of specialized metabolites and responsible for nutritional quality (e.g., sugars and amino acids). The method is based on a single extraction of 10-100 mg of tissue and allows a broad quantitative screening of metabolites optimized by their chemical characteristics and concentrations, thereby providing a high throughput analysis unbiased by the putative functional attributes of the metabolites. The tissues of Nicotiana attenuata which accumulate high levels of nicotine and diterpene glycosides, provide a challenging matrix that thwarts quantitative analysis; the analysis of various tissues of this plant are used to illustrate the robustness of the procedure. CONCLUSIONS: The method described has the potential to unravel various, until now overlooked interactions among different sectors of plant metabolism in a high throughput manner. Additionally, the method could be particularly beneficial as screening method in forward genetic approaches, as well as for the investigation of plants from natural populations that likely differ in metabolic traits.

Authors: , C. Brutting, , M. Kallenbach

Date Published: 31st May 2016

Publication Type: Not specified

PubMed ID: 27239220

Citation:

Created: 20th Oct 2016 at 13:18, Last updated: 9th Feb 2023 at 08:34

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