Adaptation of hydroxymethylbutenyl diphosphate reductase enables volatile isoprenoid production

Volatile isoprenoids produced by plants are emitted in vast quantities into the atmosphere, with substantial effects on global carbon cycling. Yet, the molecular mechanisms regulating the balance between volatile and non-volatile isoprenoid production remain unknown. Isoprenoids are synthesised via sequential condensation of isopentenyl pyrophosphate (IPP) to dimethylallyl pyrophosphate (DMAPP), with volatile isoprenoids containing fewer isopentenyl subunits. The DMAPP:IPP ratio could affect the balance between volatile and non-volatile isoprenoids, but the plastidic DMAPP:IPP ratio is generally believed to be similar across different species. Here we demonstrate that the ratio of DMAPP:IPP produced by hydroxymethylbutenyl diphosphate reductase (HDR/IspH), the final step of the plastidic isoprenoid production pathway, is not fixed. Instead, this ratio varies greatly across HDRs from phylogenetically distinct plants, correlating with isoprenoid production patterns. Our findings suggest that adaptation of HDR plays a previously unrecognised role in determining in vivo carbon availability for isoprenoid emissions, directly shaping global biosphere-atmosphere interactions

Analysis of glyphosate and aminomethylphosphonic acid in leaves from Coffea arabica using high performance liquid chromatography with quadrupole mass spectrometry detection

Glyphosate is a commonly applied herbicide in coffee plantations. Because of its non-selective mode of action it can damage the crop exposed through spray drift. Therefore, it is of interest to study glyphosate fate in coffee plants. The aim of this study was to develop an analytical method for accurate and precise quantification of glyphosate and its main metabolite aminomethylphosphonic acid (AMPA) at trace levels in coffee leaves using liquid chromatography with single-quadrupole mass spectrometry detection. The method is based on a two-step solid phase extraction (SPE) with an intermediate derivatization reaction using 9-fluorenylmethylchloroformate (FMOC). An isotope dilution method was used to account for matrix effects and to enhance the confidence in analyte identification. The limit of quantification (LOQ) for glyphosate and AMPA in coffee leaves was 41 and 111 μg kg−1 dry weight, respectively. For the method optimization a design of experiments (DOE) approach was used. The sample clean-up procedure can be simplified for the analysis of less challenging matrices, for laboratories having a tandem mass spectrometry detector and for cases in which quantification limits above 0.1 mg kg−1 are acceptable, which is often the case for glyphosate. The method is robust, possesses high identification confidence, while being suitable for most commercial and academic laboratories. All leaf samples from five coffee fields analyzed (n=21) contained glyphosate, while AMPA was absent. The simplified clean-up procedure was successfully validated for coffee leaves, rice, black beans and river water.Danish Council for Independent Research-Natural Sciences/[09 066373]/FNU/DinamarcaUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias Básicas::Centro en Investigación en Contaminación Ambiental (CICA

Analysing intracellular isoprenoid metabolites in diverse prokaryotic and eukaryotic microbes

Isoprenoids, also known as terpenes or terpenoids, are a very large and diverse group of natural compounds. These compounds fulfil a myriad of critical roles in biology as well as having a wide range of industrial uses. Isoprenoids are produced via two chemically distinct metabolic pathways, the mevalonate (MVA) pathway and the methylerythritol phosphate (MEP) pathway. Downstream of these two pathways is the shared prenyl phosphate pathway. Because of their importance in both basic physiology and industrial biotechnology, extraction, identification, and quantification of isoprenoid pathway intermediates is an important protocol. Here we describe methods for extraction and analysis of intracellular metabolites from the MVA, MEP, and prenyl phosphate pathways for five key model microbes: the yeast Saccharomyces cerevisiae, the bacterium Escherichia coli, the diatom Phaeodactylum tricornutum, the green algae Chlamydomonas reinhardtii, and the cyanobacterium Synechocystis sp. PCC 6803. These methods also detect several central carbon intermediates. These protocols will likely work effectively, or be readily adaptable, to a variety of related microorganisms and metabolic pathways.</p