Enzyme Kinetics for Complex System Enables Accurate Determination of Specificity Constants of Numerous Substrates in a Mixture by Proteomics Platform

An Investigation of the Secretome Composition of Coriolopsis trogii Mafic-2001 and the Optimization of the Mafic-2001 Enzyme Cocktail to Enhance the Saccharification Efficacy of Chinese Distillers' Grains

The efficient degradation of lignocellulose is essential for valorizing agricultural waste and reducing environmental pollution. An efficient degradation process requires an enzyme cocktail capable of comprehensively deconstructing lignocellulosic components. In this study, the secretome of Coriolopsis trogii Mafic-2001 induced by rice straw was examined, and the enzymatic composition and reaction conditions of Coriolopsis trogii were optimized. Mafic-2001 secreted an enzyme cocktail that included ligninolytic enzymes, cellulases, and hemicellulases. However, the relative abundances of endoglucanase (EG) and β-glucosidase (βG) were only 64.37% and 10.69%, respectively, compared with the relative abundance of cellobiohydrolase, which indicated a critical bottleneck in degradation efficiency. To overcome this limitation, the recombinant enzymes rEG1 and rβG1 were expressed in Pichia pastoris X-33. A functionally enhanced enzyme cocktail (rEG1-rβG1-Mafic-2001 = 0.05:0.09:0.86) was developed via a mixture design to achieve a reducing sugar yield of 2.77 mg/mL from Chinese distillers' grains (CDGs). Structural analyses revealed that the optimized enzyme cocktail disrupted the reticulated fiber architecture of CDGs and attenuated the characteristic Fourier-transform infrared spectroscopy peaks of lignin, cellulose, and hemicellulose. This study elucidates the synergistic lignocellulose deconstruction mechanism of Mafic-2001 and establishes a precision enzyme-supplementation strategy for efficient CDG bioconversion, providing a scalable platform for the valorization of lignocellulosic biomass.

Phosphoproteomic Approaches for Identifying Phosphatase and Kinase Substrates

Protein phosphorylation is a ubiquitous post-translational modification controlled by the opposing activities of protein kinases and phosphatases, which regulate diverse biological processes in all kingdoms of life. One of the key challenges to a complete understanding of phosphoregulatory networks is the unambiguous identification of kinase and phosphatase substrates. Liquid chromatography-coupled mass spectrometry (LC-MS/MS) and associated phosphoproteomic tools enable global surveys of phosphoproteome changes in response to signaling events or perturbation of phosphoregulatory network components. Despite the power of LC-MS/MS, it is still challenging to directly link kinases and phosphatases to specific substrate phosphorylation sites in many experiments. Here, we survey common LC-MS/MS-based phosphoproteomic workflows for identifying protein kinase and phosphatase substrates, noting key advantages and limitations of each. We conclude by discussing the value of inducible degradation technologies coupled with phosphoproteomics as a new approach that overcomes some limitations of current methods for substrate identification of kinases, phosphatases, and other regulatory enzymes.

Guardian of cobamide diversity: Probing the role of CobT in lower ligand activation in the biosynthesis of vitamin B12 and other cobamide cofactors

Enzymes catalyze a wide variety of reactions with exquisite precision under crowded conditions within cellular environments. When encountered with a choice of small molecules in their vicinity, even though most enzymes continue to be specific about the substrate they pick, some others are able to accept a range of substrates and subsequently produce a variety of products. The biosynthesis of Vitamin B₁₂, an essential nutrient required by humans involves a multi-substrate α-phosphoribosyltransferase enzyme CobT that activates the lower ligand of B₁₂. Vitamin B₁₂ is a member of the cobamide family of cofactors which share a common tetrapyrrolic corrin scaffold with a centrally coordinated cobalt ion, and an upper and a lower ligand. The structural difference between B₁₂ and other cobamides mainly arises from variations in the lower ligand, which is attached to the activated corrin ring by CobT and other downstream enzymes. In this chapter, we describe the steps involved in identifying and reconstituting the activity of new CobT homologs by deriving lessons from those previously characterized. We then highlight biochemical techniques to study the unique properties of these homologs. Finally, we describe a pairwise substrate competition assay to rank CobT substrate preference, a general method that can be applied for the study of other multi-substrate enzymes. Overall, the analysis with CobT provides insights into the range of cobamides that can be synthesized by an organism or a community, complementing efforts to predict cobamide diversity from complex metagenomic data.

Phosphatase and Kinase Substrate Specificity Profiling with Pooled Synthetic Peptides and Mass Spectrometry

Reversible phosphorylation is a pervasive regulatory event in cellular physiology controlled by reciprocal actions of protein kinases and phosphatases. Determining the inherent substrate specificity of kinases and phosphatases is essential for understanding their cellular roles. Synthetic peptides have long served as substrate proxies for defining intrinsic kinase and phosphatase specificities. Here, we describe a high throughput protocol to simultaneously measure specificity constants (k_cat/K_M) of many synthetic peptide substrates in a single pool using label-free quantitative mass spectrometry. The generation of specificity constants from a single pooled reaction provides a rigorous and rapid comparison of substrate variants to help define an enzyme's specificity. Equally applicable to kinases and phosphatases, as well as other enzyme classes, the protocol consists of three general steps: (1) reaction of enzyme with pooled peptide substrates, each ideally with a unique mass and at concentrations well below K_M, (2) analysis of reaction products using liquid chromatography-coupled mass spectrometry (LC-MS), and (3) automated extraction and integration of elution peaks for each substrate/product pair. We incorporate an ionization correction strategy allowing direct calculation of reaction progress, and subsequently k_cat/K_M, from substrate and product peak areas in a single sample, obviating the need for stable isotope labeling. Peptide consumption is minimal, and high peptide purity and accurate concentrations are not required. Access to a high-resolution LC-MS system is the only nonstandard equipment need. We present an analysis pipeline consisting entirely of established open-source software tools, and demonstrate proof of principle with the highly selective cell cycle phosphatase Cdc14 from Saccharomyces cerevisiae.

Hierarchical Reactivity of Enzyme-Mediated Phosphorus Recycling from Organic Mixtures by Aspergillus niger Phytase

Biological recycling of inorganic phosphorus (P_i) from organic phosphorus (P_o) compounds by phosphatase-type enzymes, including phytases, is an important contributor to the pool of bioavailable P to plants and microorganisms. However, studies of mixed-substrate reactions with these enzymes are lacking. Here, we explore the reactivity of a phytase extract from the fungus Aspergillus niger toward a heterogeneous mixture containing, in addition to phytate, different structures of environmentally relevant P_o compounds such as ribonucleotides and sugar phosphates. Using a high-resolution liquid chromatography-mass spectrometry method to monitor simultaneously the parent P_o compounds and their by-products, we captured sequential substrate-specific evolution of P_i from the mixture, with faster hydrolysis of multiphosphorylated compounds (phytate, diphosphorylated sugars, and di- and tri-phosphorylated ribonucleotides) than hydrolysis of monophosphorylated compounds (monophosphorylated sugars and monophosphorylated ribonucleotides). The interaction mechanisms and energies revealed by molecular docking simulations of each P_o compound within the enzyme's active site explained the substrate hierarchy observed experimentally. Specifically, the favorable orientation for binding of the negatively charged phosphate moieties with respect to the positive potential surface of the active site was important. Collectively, our findings provide mechanistic insights about the broad but hierarchical role of phytase-type enzymes in P_i recycling from the heterogeneous assembly of P_o compounds in agricultural soils or wastes.

Conservation of Cdc14 phosphatase specificity in plant fungal pathogens: implications for antifungal development

Cdc14 protein phosphatases play an important role in plant infection by several fungal pathogens. This and other properties of Cdc14 enzymes make them an intriguing target for development of new antifungal crop treatments. Active site architecture and substrate specificity of Cdc14 from the model fungus Saccharomyces cerevisiae (ScCdc14) are well-defined and unique among characterized phosphatases. Cdc14 appears absent from some model plants. However, the extent of conservation of Cdc14 sequence, structure, and specificity in fungal plant pathogens is unknown. We addressed this by performing a comprehensive phylogenetic analysis of the Cdc14 family and comparing the conservation of active site structure and specificity among a sampling of plant pathogen Cdc14 homologs. We show that Cdc14 was lost in the common ancestor of angiosperm plants but is ubiquitous in ascomycete and basidiomycete fungi. The unique substrate specificity of ScCdc14 was invariant in homologs from eight diverse species of dikarya, suggesting it is conserved across the lineage. A synthetic substrate mimetic inhibited diverse fungal Cdc14 homologs with similar low µM Ki values, but had little effect on related phosphatases. Our results justify future exploration of Cdc14 as a broad spectrum antifungal target for plant protection.

In Silico Identification of Antimicrobial Peptides in the Proteomes of Goat and Sheep Milk and Feta Cheese

Milk and dairy products are a major functional food group of growing scientific and commercial interest due to their nutritional value and bioactive "load". A major fraction of the latter is attributed to milk's rich protein content and its biofunctional peptides that occur naturally during digestion. On the basis of the identified proteome datasets of milk whey from sheep and goat breeds in Greece and feta cheese obtained during previous work, we applied an in silico workflow to predict and characterise the antimicrobial peptide content of these proteomes. We utilised existing tools for predicting peptide sequences with antimicrobial traits complemented by in silico protein cleavage modelling to identify frequently occurring antimicrobial peptides (AMPs) in the gastrointestinal (GI) tract in humans. The peptides of interest were finally assessed for their stability with respect to their susceptibility to cleavage by endogenous proteases expressed along the intestinal part of the GI tract and ranked with respect to both their antimicrobial and stability scores.

Distributive enzyme binding controlled by local RNA context results in 3' to 5' directional processing of dicistronic tRNA precursors by Escherichia coli ribonuclease P

RNA processing by ribonucleases and RNA modifying enzymes often involves sequential reactions of the same enzyme on a single precursor transcript. In Escherichia coli, processing of polycistronic tRNA precursors involves separation into individual pre-tRNAs by one of several ribonucleases followed by 5′ end maturation by ribonuclease P. A notable exception are valine and lysine tRNAs encoded by three polycistronic precursors that follow a recently discovered pathway involving initial 3′ to 5′ directional processing by RNase P. Here, we show that the dicistronic precursor containing tRNA^valV and tRNA^valW undergoes accurate and efficient 3′ to 5′ directional processing by RNase P in vitro. Kinetic analyses reveal a distributive mechanism involving dissociation of the enzyme between the two cleavage steps. Directional processing is maintained despite swapping or duplicating the two tRNAs consistent with inhibition of processing by 3′ trailer sequences. Structure-function studies identify a stem–loop in 5′ leader of tRNA^valV that inhibits RNase P cleavage and further enforces directional processing. The results demonstrate that directional processing is an intrinsic property of RNase P and show how RNA sequence and structure context can modulate reaction rates in order to direct precursors along specific pathways.

Investigating the Relationship between the Substrates' Consumption and Their Abundances in a Complex Enzymatic System

The enzymatic process involving the incubation of a library of substrates with an enzyme is the key step for a few important experiments for bioanalytical chemistry including proteomics analysis, enzymatic labeling, substrate screening, etc. The relationship between the substrates' consumption and their abundances in a complex enzymatic system with a huge number of coexisting substrates of different abundances was not well-known. In this study, we have demonstrated theoretically and experimentally that the priority of substrate consumption depended on their specificity constants but not abundances. We derived the expression between the fractions of the substrates consumed (p_i) and their specificity constants. Using the enzymatic system of five synthetic peptide substrates of trypsin, we validated through 24 experiments that the ln(1 - p_i) values of competing substrates have linear correlation with their specificity constants, and thus, the priority of substrate depletion has no relation with their abundances. Using a state of the art quantitative proteomics approach, we found that the ln(1 - p_i) values of 144 competing substrates between any two of four experiments have a linear relationship and the prioritization of substrates can be achieved by sorting their consumption rates in the experiment. This study will improve our understanding of the enzymatic kinetics in the complex system and will benefit the design of enzymatic analytical approaches.