Plant Science

Anthocyanins are specialized flavonoid pigments that play critical roles in plant coloration, photoprotection, and responses to environmental stress. Arabidopsis thaliana serves as a valuable genetic model for dissecting anthocyanin biosynthesis and regulatory networks. Conventional methods for anthocyanin quantification, such as crude spectrophotometric assays, often compromise pigment integrity, yield inconsistent results, and provide limited information on compound composition. Here, we describe a simple, reproducible, and high-fidelity protocol for the induction, extraction, quantification, and chromatographic profiling of anthocyanins in Arabidopsis thaliana seedlings. The workflow employs well-defined anthocyanin-inductive conditions (AIC), methanol/formic acid extraction, lyophilization for dry-weight normalization, and dual quantification via spectrophotometry and High-performance liquid chromatography with diode-array detection (HPLC-DAD) analysis. This protocol enables accurate comparison between wild-type and mutant genotypes, facilitating both mutant screening and metabolic pathway analysis. The approach minimizes pigment degradation, enhances reproducibility across replicates, and offers a robust tool for research in plant metabolism, stress physiology, and flavonoid biochemistry.

The plant cell wall is a dynamic and complex extracellular matrix that not only provides structural integrity and determines cell shape but also mediates intercellular communication. Among its major components, pectins play essential roles in cell adhesion, wall porosity, hydration, and flexibility. Rhamnogalacturonan-I (RG-I), a structurally diverse pectic polysaccharide, remains one of the least understood components of the plant cell wall. Its backbone is substituted with arabinan, galactan, and arabinogalactan side chains that vary in length, branching, and composition across tissues, species, and developmental stages. In addition, RG-I can undergo modifications such as backbone acetylation, further contributing to its structural complexity and functional diversity. To advance understanding of RG-I, we present a detailed method for isolating RG-I from the model plant Arabidopsis thaliana. Leveraging Arabidopsis as a model system provides major advantages owing to its well-characterized genome and powerful molecular toolkit, enabling deeper investigation into the roles of RG-I in plant development and responses to environmental stress. Our method consists of two major steps: an initial chemical extraction using oxalate, followed by endo-polygalacturonase (EPG) digestion to fragment the pectic domains. An advantage of this approach is that it produces a dry material that can be stored at room temperature without special handling and does not introduce chemicals that may interfere with downstream analyses. The purified RG-I can be used for detailed compositional and structural analyses, as well as for functional studies of enzymes involved in pectin biosynthesis, modification, and degradation. Although this protocol was developed for isolating RG-I from Arabidopsis rosette leaves, it is also applicable to other Arabidopsis organs and other plant species.

The protochlorophyllide (Pchlide) level is a crucial indicator of plant fitness. Precise quantification of Pchlide content is necessary not only in studies of flu-related mutants that over-accumulate Pchlide in the dark but also for research on plants suffering from environmental stresses. Due to its low content and interference of chlorophylls, quantitative determination of Pchlide content is a challenge. Here, we describe an optimized protocol for Pchlide extraction from Arabidopsis thaliana seedlings and subsequent analysis using high-performance liquid chromatography (HPLC) coupled with fluorescence detection. Divinyl-Protochlorophyllide (DV-Pchlide, the major form of Pchlide in plants) quantification is achieved by interpolating fluorescence peak areas against an experimentally derived standard curve. This protocol provides a reliable workflow for Pchlide quantification, facilitating the deciphering of the underlying mechanism of plant environmental resilience.

In plants, the apoplast contains a diverse set of proteins that underpin mechanisms for maintaining cell homeostasis, cell wall remodeling, cell signaling, and pathogen defense. Apoplast protein composition is highly regulated, primarily through the control of secretory traffic in response to endogenous and environmental factors. Dynamic changes in apoplast proteome facilitate plant survival in a changing climate. Even so, the apoplast proteome profiles in plants remain poorly characterized due to technological limitations. Recent progress in quantitative proteomics has significantly advanced the resolution of proteomic profiling in mammalian systems and has the potential for application in plant systems. In this protocol, we provide a detailed and efficient protocol for tandem mass tag (TMT)-based quantitative analysis of Arabidopsis thaliana secretory proteome to resolve dynamic changes in leaf apoplast proteome profiles. The protocol employs apoplast flush collection followed by protein cleaning using filter-aided sample preparation (FASP), protein digestion, TMT-labeling of peptides, and mass spectrometry (MS) analysis. Subsequent data analysis for peptide detection and quantification uses Proteome Discoverer software (PD) 3.0. Additionally, we have incorporated in silico–generated spectral libraries using PD 3.0, which enables rapid and efficient analysis of proteomic data. Our optimized protocol offers a robust framework for quantitative secretory proteomic analysis in plants, with potential applications in functional proteomics and the study of trafficking systems that impact plant growth, survival, and health.

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.