Plant Science

Protein isolation combined with two-dimensional electrophoresis (2-DE) is a powerful technique for analyzing complex protein mixtures, enabling the simultaneous separation of thousands of proteins. This method involves two distinct steps: isoelectric focusing (IEF), which separates proteins based on their isoelectric points (pI), and sodium dodecyl sulfate–polyacrylamide gel electrophoresis (SDS-PAGE), which separates proteins by their relative molecular weights. However, the success of 2-DE is highly dependent on the quality of the starting material. Isolating proteins from plant mature roots is challenging due to interfering compounds and a thick, lignin-rich cell wall. Bacterial proteins and metabolites further complicate extraction in legumes, which form symbiotic relationships with bacteria. Endogenous proteases can degrade proteins, and microbial contaminants may co-purify with plant proteins. Therefore, comparing extraction methods is essential to minimize contaminants, maximize yield, and preserve protein integrity. In this study, we compare two protein isolation techniques for lupine roots and optimize a protein precipitation protocol to enhance the yield for downstream proteomic analyses. The effectiveness of each method was evaluated based on the quality and resolution of 2-DE gel images. The optimized protocol provides a reliable platform for comparative proteomics and functional studies of lupine root responses to stress, e.g., drought or salinity, and symbiotic interactions with bacteria.

Rhamnogalacturonan-II (RG-II) is one of the least studied domains of pectin, primarily due to its low abundance, the lack of reliable antibodies, and the complexity of its structure. The present study builds upon existing protocols and procedures used to analyse RG-II in tissues where it is more abundant, combining and adapting them for the isolation of RG-II from Arabidopsis seed mucilage—a structure previously thought to lack RG-II. By applying these adapted methods, we first confirmed the presence of RG-II in seed mucilage and subsequently succeeded in isolating it from a tissue where it is typically present in low abundance, thereby enabling future studies on this previously overlooked component.

Phospholipids are major structural and regulatory elements of biological membranes and are involved in many different cellular and physiological processes. In this protocol, we provide an easy, cost-effective, and efficient method to obtain an overview of the phospholipid composition using high-performance thin layer chromatography (HPTLC). While the currently known phospholipid separation methods based on HPTLC display co-migration of certain lipid classes, the method we describe here allows the separation of all phospholipid classes, including anionic phospholipids in plant samples. This protocol combines elements of the classical Vitiello and Touchstone solvent systems to optimize phospholipid separation in a scaled pattern. Here, we provide a full characterization of this method, including statistical analyses of the retention factor of each phospholipid to show the robustness of the method and its efficiency in separating all phospholipid classes of a biological sample.

Plants rely on metabolite regulation of proteins to control their metabolism and adapt to environmental changes, but studying these complex interaction networks remains challenging. The proteome integral solubility alteration (PISA) assay, a high-throughput chemoproteomic technique, was originally developed for mammalian systems to investigate drug targets. PISA detects changes in protein stability upon interaction with small molecules, quantified through LC–MS. Here, we present an adapted PISA protocol for Arabidopsis thaliana chloroplasts to identify potential protein interactions with ascorbate. Chloroplasts are extracted using a linear Percoll gradient, treated with multiple ascorbate concentrations, and subjected to heat-induced protein denaturation. Soluble proteins are extracted via ultracentrifugation, and proteome-wide stability changes are quantified using multiplexed LC–MS. We provide instructions for deconvolution of LC–MS spectra and statistical analysis using freely available software. This protocol enables unbiased screening of protein regulation by small molecules in plants without requiring prior knowledge of interaction partners, chemical probe design, or genetic modifications.

Membranes are very complex and dynamic structures that are essential for plant cellular functions and whose lipidic composition can be influenced by numerous factors. Anionic phospholipids, which include phosphatidylserine, phosphatidic acid, phosphatidylinositol, and phosphoinositides are key components of these membranes as they are involved in plant cell signaling and as even slight modifications in their quantities may largely impact the cell metabolism. However, the presence of these compounds in low amounts, as well as their poor stability during analysis by mass spectrometry, make their study very complicated. In addition, the precise quantification of all anionic phospholipid species is not possible by lipid separation using thin-layer chromatography followed by the analysis of their fatty acyl chains by gas chromatography. Here, we describe a straightforward strategy for the extraction and semi-quantification of all anionic phospholipid species from plant samples. Our method is based on the derivatization of the anionic phospholipids, and more especially on their methylation using trimethylsilyldiazomethane, followed by analysis by high-performance liquid chromatography coupled with a triple quadrupole mass spectrometer. This approach allows largely improving the sensitivity of the analysis of anionic phospholipids from plant samples, which will help to gain deeper insights into the functions and dynamics of these key parts of plant cellular signaling.

Starch is a carbohydrate widely used in the plant kingdom as a fuel for different physiological processes. While different techniques are available for the quantification of starch stored in seeds and bark tissues, they have hardly been used to quantify starch content in developing flower buds, where starch has been reported to accumulate in different reproductive organs. Here, we detail a quantitative enzymatic method to measure starch concentration in developing flower primordia in sweet cherry (Prunus avium L.). First, starch is enzymatically hydrolyzed to D-glucose, which was then quantified by an enzyme-coupled assay involving hexokinase (HK) and glucose-6-phosphate dehydrogenase (G6PD) and spectrophotometric quantification of NADH absorbance at 340 nm. This method is a sensitive, rapid, and affordable protocol specifically optimized for tiny flower buds with low starch content. The technique is revealed to successfully determine starch content in non-freshly harvested samples—frozen and stored at -20 °C or stored in fixatives—allowing a temporal separation of sampling and quantification and making the protocol suitable for high-throughput experimental designs in different fields of plant research.

Glyphosate (GLY) is a widely used herbicide that can induce oxidative stress in microalgae and other non-target organisms. The quantification of GLY in surface water is a difficult task, especially in trace-level concentrations, due to its high polarity and susceptibility to biotic and abiotic degradation. Several analytical methods have been developed for GLY quantification. Most of them use high-performance liquid chromatography (HPLC) coupled with detection by mass spectrometry (MS) and include a derivatization step to decrease the polarity of the herbicide to improve detection. This protocol describes an adaptation of an existing protocol for the quantification of GLY and its metabolite aminomethylphosphonic acid (AMPA) in a water-based microalgae culture medium using ultra-high-pressure liquid chromatography (UHPLC) coupled with fluorescence detection (FLR). The principal advantage of this protocol compared with other analytical methods that employ HPLC–MS is its low cost and accessibility since it does not require an MS detector nor radioactively labeled analytical standards. Ascorbic acid (AH^-) is one of the most important hydrosoluble non-enzymatic antioxidants in eukaryotic cells and plays a key role in many metabolic pathways of critical importance in plants and algae. In this protocol, we also describe an adaptation of a previously published protocol to quantify AH^- in blood samples to be used in microalgal cells exposed to GLY and GLY-based herbicides. The sample preparation procedure for this last protocol is fast, easy, and does not require expensive equipment. It uses an HPLC system coupled with an electrochemical detector (EC) for AH^- quantification but may be adapted to be used with a UV-Vis detector.

Plant proteases participate in a wide variety of biological processes, including development, growth, and defense. To date, numerous proteases have been functionally identified through genetic studies. However, redundancy among certain proteases can obscure their roles, as single-gene loss-of-function mutants often exhibit no discernible phenotype, limiting identification through genetic approaches. Here, we describe an efficient system for the identification of target proteases that cleave specific substrates in the Arabidopsis apoplastic fluid. The method involves using Arabidopsis-submerged culture medium, which contains apoplastic proteases, followed by native two-dimensional electrophoresis. Gel fractionation and an in-gel peptide cleavage assay with a fluorescence-quenching peptide substrate are then used to detect specific proteolytic activity. The active fraction is then subjected to mass spectrometry–based proteomics to identify the protease of interest. This method allows for the efficient and comprehensive identification of proteases with specific substrate cleavage activities in the apoplast.

Cannabis (Cannabis sativa L.) derivatives are of great importance in the medical, cosmetic, and pharmaceutical industries. This relevance is mainly due to the active principles (cannabinoids) found mainly in the trichomes of the female inflorescences. One of the most commonly used methods to propagate cannabis is by vegetative stem cuttings. This low-cost technique produces genetically uniform plants, ensuring consistent growth rates and cannabinoid production. The extraction of cannabinoids and other active compounds from the resin of the flowers is the main limitation of cannabis processing. Here, we describe a step-by-step protocol for propagating female cannabis plants from vegetative stem cuttings, inducing flower development, and obtaining high-quality cannabinoid-enriched resin.

Cucumber (Cucumis sativus) trichomes play a critical role in resisting external biological and abiotic stresses. Glandular trichomes are particularly significant as they serve as sites for the synthesis and secretion of secondary metabolites, while non-glandular trichomes are pivotal for determining the appearance quality of cucumbers. However, current methods for separating trichomes encounter challenges such as low efficiency and insufficient accuracy, limiting their applicability in multi-omics sequencing studies. This protocol introduces an efficient system designed for the precise separation of glandular and non-glandular trichomes from cucumber fruit. The process begins with the pre-cooling of sorbitol buffer or ethanol solution and the RNA-free treatment of laboratory supplies, followed by sterilization and pre-cooling. After filling glass bottles with pre-cooling buffer and glass beads, cucumber ovaries are then placed in the glass bottles and the trichome is harvested by bead-beating method. The separation process involves sequential filtration through various steel sieves and centrifugation to separate trichomes. The separated trichomes obtained from this method are well-suited for subsequent multi-omics sequencing analyses. This protocol achieved high precision in separating glandular and non-glandular trichomes, significantly enhancing the efficiency of separation and sample collection processes. This advancement not only addresses existing limitations but also facilitates comprehensive studies aimed at exploring the genetic and biochemical diversity present within cucumber trichomes, thereby opening avenues for broader agricultural and biological research applications.