Hansenula polymorpha and Saccharomyces cerevisiae Pex5p's recognize different, independent peroxisomal targeting signals in alcohol oxidase

Good things come to those who bait: the peroxisomal docking complex

Peroxisomal integrity and function are highly dependent on its membrane and soluble (matrix) components. Matrix enzymes are imported post-translationally in a folded or even oligomeric state, via a still mysterious protein translocation mechanism. They are guided to peroxisomes via the Peroxisomal Targeting Signal (PTS) sequences which are recognized by specific cytosolic receptors, Pex5, Pex7 and Pex9. Subsequently, cargo-loaded receptors bind to the docking complex in an initial step, followed by channel formation, cargo-release, receptor-recycling and -quality control. The docking complexes of different species share Pex14 as their core component but differ in composition and oligomeric state of Pex14. Here we review and highlight the latest insights on the structure and function of the peroxisomal docking complex. We summarize differences between yeast and mammals and then we integrate this knowledge into our current understanding of the import machinery.

Unusual proteins in Giardia duodenalis and their role in survival

The capacity of the parasite Giardia duodenalis to perform complex functions with minimal amounts of proteins and organelles has attracted increasing numbers of scientists worldwide, trying to explain how this parasite adapts to internal and external changes to survive. One explanation could be that G. duodenalis evolved from a structurally complex ancestor by reductive evolution, resulting in adaptation to its parasitic lifestyle. Reductive evolution involves the loss of genes, organelles, and functions that commonly occur in many parasites, by which the host renders some structures and functions redundant. However, there is increasing data that Giardia possesses proteins able to perform more than one function. During recent decades, the concept of moonlighting was described for multitasking proteins, which involves only proteins with an extra independent function(s). In this chapter, we provide an overview of unusual proteins in Giardia that present multifunctional properties depending on the location and/or parasite requirement. We also discuss experimental evidence that may allow some giardial proteins to be classified as moonlighting proteins by examining the properties of moonlighting proteins in general. Up to date, Giardia does not seem to require the numerous redundant proteins present in other organisms to accomplish its normal functions, and thus this parasite may be an appropriate model for understanding different aspects of moonlighting proteins, which may be helpful in the design of drug targets.

Identification of Moonlighting Proteins in Genomes Using Text Mining Techniques

Moonlighting proteins is an emerging concept for considering protein functions, which indicate proteins with two or more independent and distinct functions. An increasing number of moonlighting proteins have been reported in the past years; however, a systematic study of the topic has been hindered because the secondary functions of proteins are usually found serendipitously by experiments. Toward systematic identification and study of moonlighting proteins, computational methods for identifying moonlighting proteins from several different information sources, database entries, literature, and large-scale omics data have been developed. In this study, an overview for finding moonlighting proteins is discussed. Then, the literature-mining method, DextMP, is applied to find new moonlighting proteins in three genomes, Arabidopsis thaliana, Caenorhabditis elegans, and Drosophila melanogaster. Potential moonlighting proteins identified by DextMP are further examined by a two-step manual literature checking procedure, which finally yielded 13 new moonlighting proteins. Identified moonlighting proteins are categorized into two classes based on the clarity of the distinctness of two functions of the proteins. A few cases of the identified moonlighting proteins are described in detail. Further direction for improving the DextMP algorithm is also discussed.

Metabolic construction strategies for direct methanol utilization in Saccharomyces cerevisiae

The aim of this study was to metabolically construct Saccharomyces cerevisiae for achievement of direct methanol utilization and value added product (mainly pyruvate) production. After successful integration of methanol oxidation pathway originated from Pichia pastoris into the chromosome of S. cerevisiae, the recombinant showed 1.04g/L consumption of methanol and 3.13% increase of cell growth (OD₆₀₀) when using methanol as the sole carbon source. Moreover, 0.26g/L of pyruvate was detected in the fermentation broth. The supplementation of 1g/L yeast extract could further improve cell growth with increase of 11.70% and methanol consumption to 2.35g/L. This represents the first genetically modified non-methylotrophic eukaryotic microbe for direct methanol utilization and would be of great value concerning the development of biotechnological processes.

MPFit: Computational Tool for Predicting Moonlighting Proteins

An increasing number of proteins have been found which are capable of performing two or more distinct functions. These proteins, known as moonlighting proteins, have drawn much attention recently as they may play critical roles in disease pathways and development. However, because moonlighting proteins are often found serendipitously, our understanding of moonlighting proteins is still quite limited. In order to lay the foundation for systematic moonlighting proteins studies, we developed MPFit, a software package for predicting moonlighting proteins from their omics features including protein-protein and gene interaction networks. Here, we describe and demonstrate the algorithm of MPFit, the idea behind it, and provide instruction for using the software.

Genome-scale prediction of moonlighting proteins using diverse protein association information

MOTIVATION

Moonlighting proteins (MPs) show multiple cellular functions within a single polypeptide chain. To understand the overall landscape of their functional diversity, it is important to establish a computational method that can identify MPs on a genome scale. Previously, we have systematically characterized MPs using functional and omics-scale information. In this work, we develop a computational prediction model for automatic identification of MPs using a diverse range of protein association information.

RESULTS

We incorporated a diverse range of protein association information to extract characteristic features of MPs, which range from gene ontology (GO), protein-protein interactions, gene expression, phylogenetic profiles, genetic interactions and network-based graph properties to protein structural properties, i.e. intrinsically disordered regions in the protein chain. Then, we used machine learning classifiers using the broad feature space for predicting MPs. Because many known MPs lack some proteomic features, we developed an imputation technique to fill such missing features. Results on the control dataset show that MPs can be predicted with over 98% accuracy when GO terms are available. Furthermore, using only the omics-based features the method can still identify MPs with over 75% accuracy. Last, we applied the method on three genomes: Saccharomyces cerevisiae, Caenorhabditis elegans and Homo sapiens, and found that about 2-10% of proteins in the genomes are potential MPs.

AVAILABILITY AND IMPLEMENTATION

Code available at http://kiharalab.org/MPprediction

CONTACT

dkihara@purdue.edu

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

Genome-scale identification and characterization of moonlighting proteins

BACKGROUND

Moonlighting proteins perform two or more cellular functions, which are selected based on various contexts including the cell type they are expressed, their oligomerization status, and the binding of different ligands at different sites. To understand overall landscape of their functional diversity, it is important to establish methods that can identify moonlighting proteins in a systematic fashion. Here, we have developed a computational framework to find moonlighting proteins on a genome scale and identified multiple proteomic characteristics of these proteins.

RESULTS

First, we analyzed Gene Ontology (GO) annotations of known moonlighting proteins. We found that the GO annotations of moonlighting proteins can be clustered into multiple groups reflecting their diverse functions. Then, by considering the observed GO term separations, we identified 33 novel moonlighting proteins in Escherichia coli and confirmed them by literature review. Next, we analyzed moonlighting proteins in terms of protein-protein interaction, gene expression, phylogenetic profile, and genetic interaction networks. We found that moonlighting proteins physically interact with a higher number of distinct functional classes of proteins than non-moonlighting ones and also found that most of the physically interacting partners of moonlighting proteins share the latter's primary functions. Interestingly, we also found that moonlighting proteins tend to interact with other moonlighting proteins. In terms of gene expression and phylogenetically related proteins, a weak trend was observed that moonlighting proteins interact with more functionally diverse proteins. Structural characteristics of moonlighting proteins, i.e. intrinsic disordered regions and ligand binding sites were also investigated.

CONCLUSION

Additional functions of moonlighting proteins are difficult to identify by experiments and these proteins also pose a significant challenge for computational function annotation. Our method enables identification of novel moonlighting proteins from current functional annotations in public databases. Moreover, we showed that potential moonlighting proteins without sufficient functional annotations can be identified by analyzing available omics-scale data. Our findings open up new possibilities for investigating the multi-functional nature of proteins at the systems level and for exploring the complex functional interplay of proteins in a cell.

REVIEWERS

This article was reviewed by Michael Galperin, Eugine Koonin, and Nick Grishin.

Lipid droplets and peroxisomes: key players in cellular lipid homeostasis or a matter of fat--store 'em up or burn 'em down

Lipid droplets (LDs) and peroxisomes are central players in cellular lipid homeostasis: some of their main functions are to control the metabolic flux and availability of fatty acids (LDs and peroxisomes) as well as of sterols (LDs). Both fatty acids and sterols serve multiple functions in the cell—as membrane stabilizers affecting membrane fluidity, as crucial structural elements of membrane-forming phospholipids and sphingolipids, as protein modifiers and signaling molecules, and last but not least, as a rich carbon and energy source. In addition, peroxisomes harbor enzymes of the malic acid shunt, which is indispensable to regenerate oxaloacetate for gluconeogenesis, thus allowing yeast cells to generate sugars from fatty acids or nonfermentable carbon sources. Therefore, failure of LD and peroxisome biogenesis and function are likely to lead to deregulated lipid fluxes and disrupted energy homeostasis with detrimental consequences for the cell. These pathological consequences of LD and peroxisome failure have indeed sparked great biomedical interest in understanding the biogenesis of these organelles, their functional roles in lipid homeostasis, interaction with cellular metabolism and other organelles, as well as their regulation, turnover, and inheritance. These questions are particularly burning in view of the pandemic development of lipid-associated disorders worldwide.

A potential role for an extracellular methanol oxidase secreted by Moniliophthora perniciosa in Witches' broom disease in cacao

The hemibiotrophic basidiomycete fungus Moniliophthora perniciosa, the causal agent of Witches' broom disease (WBD) in cacao, is able to grow on methanol as the sole carbon source. In plants, one of the main sources of methanol is the pectin present in the structure of cell walls. Pectin is composed of highly methylesterified chains of galacturonic acid. The hydrolysis between the methyl radicals and galacturonic acid in esterified pectin, mediated by a pectin methylesterase (PME), releases methanol, which may be decomposed by a methanol oxidase (MOX). The analysis of the M. pernciosa genome revealed putative mox and pme genes. Real-time quantitative RT-PCR performed with RNA from mycelia grown in the presence of methanol or pectin as the sole carbon source and with RNA from infected cacao seedlings in different stages of the progression of WBD indicate that the two genes are coregulated, suggesting that the fungus may be metabolizing the methanol released from pectin. Moreover, immunolocalization of homogalacturonan, the main pectic domain that constitutes the primary cell wall matrix, shows a reduction in the level of pectin methyl esterification in infected cacao seedlings. Although MOX has been classically classified as a peroxisomal enzyme, M. perniciosa presents an extracellular methanol oxidase. Its activity was detected in the fungus culture supernatants, and mass spectrometry analysis indicated the presence of this enzyme in the fungus secretome. Because M. pernciosa possesses all genes classically related to methanol metabolism, we propose a peroxisome-independent model for the utilization of methanol by this fungus, which begins with the extracellular oxidation of methanol derived from the demethylation of pectin and finishes in the cytosol.

Molecular basis of peroxisomal biogenesis disorders caused by defects in peroxisomal matrix protein import

Peroxisomal biogenesis disorders (PBDs) represent a spectrum of autosomal recessive metabolic disorders that are collectively characterized by abnormal peroxisome assembly and impaired peroxisomal function. The importance of this ubiquitous organelle for human health is highlighted by the fact that PBDs are multisystemic disorders that often cause death in early infancy. Peroxisomes contribute to central metabolic pathways. Most enzymes in the peroxisomal matrix are linked to lipid metabolism and detoxification of reactive oxygen species. Proper assembly of peroxisomes and thus also import of their enzymes relies on specific peroxisomal biogenesis factors, so called peroxins with PEX being the gene acronym. To date, 13 PEX genes are known to cause PBDs when mutated. Studies of the cellular and molecular defects in cells derived from PBD patients have significantly contributed to the understanding of the functional role of the corresponding peroxins in peroxisome assembly. In this review, we discuss recent data derived from both human cell culture as well as model organisms like yeasts and present an overview on the molecular mechanism underlying peroxisomal biogenesis disorders with emphasis on disorders caused by defects in the peroxisomal matrix protein import machinery.

Unraveling moonlighting functions with yeasts

This review considers the use of yeasts to study protein moonlighting functions. The cases discussed highlight the possibilities offered by the well-developed yeast genetics for the study of moonlighting mechanisms. The possibility to generate sets of mutants encoding different protein variants has allowed in some cases to map the regions that participate in the moonlighting function. We discuss cases of enzymes that moonlight in such different activities as control of transcription, assembly of multimeric proteins, stabilization of mitochondrial DNA or biosynthesis of CoA. The moonlighting role of an enzyme and its metabolic function seems to have evolved independently as indicated by the finding that a protein may moonlight in a yeast species but not in others. Yeasts may open ways to study possible evolutionary relationships among moonlighting proteins.

The moonlighting function of pyruvate carboxylase resides in the non-catalytic end of the TIM barrel

Pyruvate carboxylase is a highly conserved enzyme that functions in replenishing the tricarboxylic acid cycle with oxaloacetate. In the yeast Hansenulapolymorpha, the pyruvate carboxylase protein is also required for import and assembly of the peroxisomal enzyme alcohol oxidase. This additional role, which is unrelated to the enzyme activity, represents an example of a special form of multifunctionality called moonlighting. We have performed a detailed site-directed mutagenesis approach to elucidate which region(s) of H. polymorpha pyruvate carboxylase are involved in its second function. This resulted in the identification of three amino acids that are essential for the moonlighting function. Mutating these residues in a single mutant protein fully inactivated the moonlighting function, but not the enzyme activity of pyruvate carboxylase because the strain was prototrophic. A 3D homology model revealed that all three residues are positioned at the side of a TIM barrel where the N-terminal ends of the beta-strands are located. This is a novel observation as the TIM barrel proteins invariably are enzymes and have their catalytic side at the C-terminal end of the beta-sheets. Our finding implies that a TIM barrel fold can also fulfill a non-enzymatic function and that this function can reside at the N-terminal end of the barrel.

Moonlighting proteins: an intriguing mode of multitasking

Proteins are macromolecules, which perform a large variety of functions. Most of them have only a single function, but an increasing number of proteins are being identified as multifunctional. Moonlighting proteins form a special class of multifunctional proteins. They perform multiple autonomous and often unrelated functions without partitioning these functions into different domains of the protein. Striking examples are enzymes, which in addition to their catalytic function are involved in fully unrelated processes such as autophagy, protein transport or DNA maintenance. In this contribution we present an overview of our current knowledge of moonlighting proteins and discuss the significant implications for biomedical and fundamental research.

Engineering and analysis of a Saccharomyces cerevisiae strain that uses formaldehyde as an auxiliary substrate

We demonstrated that formaldehyde can be efficiently coutilized by an engineered Saccharomyces cerevisiae strain that expresses Hansenula polymorpha genes encoding formaldehyde dehydrogenase (FLD1) and formate dehydrogenase (FMD), in contrast to wild-type strains. Initial chemostat experiments showed that the engineered strain coutilized formaldehyde with glucose, but these mixed-substrate cultures failed to reach steady-state conditions and did not exhibit an increased biomass yield on glucose. Subsequent transcriptome analyses of chemostat cultures of the engineered strain, grown on glucose-formaldehyde mixtures, indicated that the presence of formaldehyde in the feed caused biotin limitations. Further transcriptome analysis demonstrated that this biotin inactivation was prevented by using separate formaldehyde and vitamin feeds. Using this approach, steady-state glucose-limited chemostat cultures were obtained that coutilized glucose and formaldehyde. Coutilization of formaldehyde under these conditions resulted in an enhanced biomass yield of the glucose-limited cultures. The biomass yield was quantitatively consistent with the use of formaldehyde as an auxiliary substrate that generates NADH and subsequently, via oxidative phosphorylation, ATP. On an electron pair basis, the biomass yield increase observed with formaldehyde was larger than that observed previously for formate, which is tentatively explained by different modes of formate and formaldehyde transport in S. cerevisiae.

PTS1-independent sorting of peroxisomal matrix proteins by Pex5p

Most peroxisomal matrix proteins contain a peroxisomal targeting signal 1 (PTS1) for sorting to the correct organelle. This signal is located at the extreme C-terminus and generally consists of only three amino acids. The PTS1 is recognized by the receptor protein Pex5p. Several examples have been reported of peroxisomal matrix proteins that are sorted to peroxisomes via Pex5p, but lack a typical PTS1 tripeptide. In this contribution we present an overview of these so-called non-PTS1 proteins and discuss the current knowledge of the molecular mechanisms involved in their sorting.

Molecular characterization of thePEX5 gene encoding peroxisomal targeting signal 1 receptor from the methylotrophic yeastPichia methanolica

In this study, we describe the molecular characterization of the PEX5 gene encoding the peroxisomal targeting signal 1 (PTS1) receptor from the methylotrophic yeast Pichia methanolica. The P. methanolica PEX5 (PmPEX5) gene contains a open reading frame corresponding to a gene product of 646 amino acid residues, and its deduced amino acid sequence shows a high similarity to those of Pex5ps from other methylotrophic yeasts. Like other Pex5ps, the PmPex5p possesses seven repeats of the TPR motif in the C-terminal region and three WXXXF/Y motifs. A strain with the disrupted PEX5 gene (pex5Delta) lost its ability to grow on peroxisome-inducible carbon sources, methanol and oleate, but grew normally on glucose and glycerol. Disruption of PmPEX5 caused a drastic decrease in peroxisomal enzyme activities and mislocalization of GFP-PTS1 and some peroxisomal methanol-metabolizing enzymes in the cytosol. Expression of the PmPEX5 gene was regulated by carbon sources, and it was strongly expressed by peroxisome-inducible carbon sources, especially methanol. Taken together, these findings show that PmPex5p has an essential physiological role in peroxisomal metabolism of P. methanolica, including methanol metabolism, and in peroxisomal localization and activation of methanol-metabolizing enzymes, e.g. AOD isozymes, DHAS and CTA.

Dynamic architecture of the peroxisomal import receptor Pex5p

The majority of peroxisomal matrix proteins are recognized by the import receptor Pex5p. The receptor is dynamic in terms of its overall architecture and association with the peroxisomal membrane. It participates in different protein complexes during the translocation of cargos from the cytosol to the peroxisomal matrix. Its sequence comprises two structurally and functionally autonomous parts. The N-terminal segment interacts with several peroxins that assemble into distinct protein complexes during cargo translocation. Despite evidence for alpha-helical binding motifs for some of these components (Pex13p, Pex14p) its overall appearance is that of a molten globule and folding/unfolding transitions may play a critical role in its function. In contrast, most of the C-terminal part of the receptor folds into a ring-like alpha-helical structure and binds folded and functionally intact peroxisomal targets that bear a C-terminal peroxisomal targeting signal type-1. Some of these targets also bind to secondary binding sites of the receptor.