Homologues Of Known Function Research Articles

Plasmepsin-like Aspartyl Proteases in Babesia.

Apicomplexan genomes encode multiple pepsin-family aspartyl proteases (APs) that phylogenetically cluster to six independent clades (A to F). Such diversification has been powered by the function-driven evolution of the ancestral apicomplexan AP gene and is associated with the adaptation of various apicomplexan species to different strategies of host infection and transmission through various invertebrate vectors. To estimate the potential roles of Babesia APs, we performed qRT-PCR-based expressional profiling of Babesia microti APs (BmASP2, 3, 5, 6), which revealed the dynamically changing mRNA levels and indicated the specific roles of individual BmASP isoenzymes throughout the life cycle of this parasite. To expand on the current knowledge on piroplasmid APs, we searched the EuPathDB and NCBI GenBank databases to identify and phylogenetically analyse the complete sets of APs encoded by the genomes of selected Babesia and Theileria species. Our results clearly determine the potential roles of identified APs by their phylogenetic relation to their homologues of known function—Plasmodium falciparum plasmepsins (PfPM I–X) and Toxoplasma gondii aspartyl proteases (TgASP1–7). Due to the analogies with plasmodial plasmepsins, piroplasmid APs represent valuable enzymatic targets that are druggable by small molecule inhibitors—candidate molecules for the yet-missing specific therapy for babesiosis.

NetQuilt: deep multispecies network-based protein function prediction using homology-informed network similarity.

MotivationTransferring knowledge between species is challenging: different species contain distinct proteomes and cellular architectures, which cause their proteins to carry out different functions via different interaction networks. Many approaches to protein functional annotation use sequence similarity to transfer knowledge between species. These approaches cannot produce accurate predictions for proteins without homologues of known function, as many functions require cellular context for meaningful prediction. To supply this context, network-based methods use protein-protein interaction (PPI) networks as a source of information for inferring protein function and have demonstrated promising results in function prediction. However, most of these methods are tied to a network for a single species, and many species lack biological networks.ResultsIn this work, we integrate sequence and network information across multiple species by computing IsoRank similarity scores to create a meta-network profile of the proteins of multiple species. We use this integrated multispecies meta-network as input to train a maxout neural network with Gene Ontology terms as target labels. Our multispecies approach takes advantage of more training examples, and consequently leads to significant improvements in function prediction performance compared to two network-based methods, a deep learning sequence-based method and the BLAST annotation method used in the Critial Assessment of Functional Annotation. We are able to demonstrate that our approach performs well even in cases where a species has no network information available: when an organism’s PPI network is left out we can use our multi-species method to make predictions for the left-out organism with good performance.Availability and implementationThe code is freely available at https://github.com/nowittynamesleft/NetQuilt. The data, including sequences, PPI networks and GO annotations are available at https://string-db.org/.Supplementary informationSupplementary data are available at Bioinformatics online.

Structural insights into WcbI, a novel polysaccharide-biosynthesis enzyme.

Capsular polysaccharides (CPSs) are protective structures on the surfaces of many Gram-negative bacteria. The principal CPS of the human pathogen and Tier 1 select agent Burkholderia pseudomallei consists of a linear repeat of --3)--2-O-acetyl-6-deoxy-β-d-manno-heptopyranose-(1-. This CPS is critical to the virulence of this emerging pathogen and represents a key target for the development of novel therapeutics. wcbI is one of several genes in the CPS biosynthetic cluster whose deletion leads to significant attenuation of the pathogen; unlike most others, it has no homologues of known function and no detectable sequence similarity to any protein with an extant structure. Here, the crystal structure of WcbI bound to its proposed product, coenzyme A, is reported at 1.38 Å resolution, solved using the halide-soak method with multiple anomalous dispersion. This structure reveals that WcbI incorporates a previously described 100-amino-acid subdomain into a novel, principally helical fold (310 amino acids). This fold adopts a cradle-like structure, with a deep binding pocket for CoA in the loop-rich cradle. Structural analysis and biophysical assays suggest that WcbI functions as an acetyltransferase enzyme, whilst biochemical tests suggest that another functional module might be required to assist its activity in forming the mature B. pseudomallei capsule.

FFPred 2.0: Improved Homology-Independent Prediction of Gene Ontology Terms for Eukaryotic Protein Sequences

To understand fully cell behaviour, biologists are making progress towards cataloguing the functional elements in the human genome and characterising their roles across a variety of tissues and conditions. Yet, functional information – either experimentally validated or computationally inferred by similarity – remains completely missing for approximately 30% of human proteins. FFPred was initially developed to bridge this gap by targeting sequences with distant or no homologues of known function and by exploiting clear patterns of intrinsic disorder associated with particular molecular activities and biological processes. Here, we present an updated and improved version, which builds on larger datasets of protein sequences and annotations, and uses updated component feature predictors as well as revised training procedures. FFPred 2.0 includes support vector regression models for the prediction of 442 Gene Ontology (GO) terms, which largely expand the coverage of the ontology and of the biological process category in particular. The GO term list mainly revolves around macromolecular interactions and their role in regulatory, signalling, developmental and metabolic processes. Benchmarking experiments on newly annotated proteins show that FFPred 2.0 provides more accurate functional assignments than its predecessor and the ProtFun server do; also, its assignments can complement information obtained using BLAST-based transfer of annotations, improving especially prediction in the biological process category. Furthermore, FFPred 2.0 can be used to annotate proteins belonging to several eukaryotic organisms with a limited decrease in prediction quality. We illustrate all these points through the use of both precision-recall plots and of the COGIC scores, which we recently proposed as an alternative numerical evaluation measure of function prediction accuracy.

A bacterial process for selenium nanosphere assembly

During selenate respiration by Thauera selenatis, the reduction of selenate results in the formation of intracellular selenium (Se) deposits that are ultimately secreted as Se nanospheres of approximately 150 nm in diameter. We report that the Se nanospheres are associated with a protein of approximately 95 kDa. Subsequent experiments to investigate the expression and secretion profile of this protein have demonstrated that it is up-regulated and secreted in response to increasing selenite concentrations. The protein was purified from Se nanospheres, and peptide fragments from a tryptic digest were used to identify the gene in the draft T. selenatis genome. A matched open reading frame was located, encoding a protein with a calculated mass of 94.5 kDa. N-terminal sequence analysis of the mature protein revealed no cleavable signal peptide, suggesting that the protein is exported directly from the cytoplasm. The protein has been called Se factor A (SefA), and homologues of known function have not been reported previously. The sefA gene was cloned and expressed in Escherichia coli, and the recombinant His-tagged SefA purified. In vivo experiments demonstrate that SefA forms larger (approximately 300 nm) Se nanospheres in E. coli when treated with selenite, and these are retained within the cell. In vitro assays demonstrate that the formation of Se nanospheres upon the reduction of selenite by glutathione are stabilized by the presence of SefA. The role of SefA in selenium nanosphere assembly has potential for exploitation in bionanomaterial fabrication.

Structure of the periplasmic stress response protein CpxP.

CpxP is a novel bacterial periplasmic protein with no homologues of known function. In gram-negative enteric bacteria, CpxP is thought to interact with the two-component sensor kinase, CpxA, to inhibit induction of the Cpx envelope stress response in the absence of protein misfolding. CpxP has also been shown to facilitate DegP-mediated proteolysis of misfolded proteins. Six mutations that negate the ability of CpxP to function as a signaling protein are localized in or near two conserved LTXXQ motifs that define a class of proteins with similarity to CpxP, Pfam PF07813. To gain insight into how these mutations might affect CpxP signaling and/or proteolytic adaptor functions, the crystal structure of CpxP from Escherichia coli was determined to 2.85-Å resolution. The structure revealed an antiparallel dimer of intertwined α-helices with a highly basic concave surface. Each protomer consists of a long, hooked and bent hairpin fold, with the conserved LTXXQ motifs forming two diverging turns at one end. Biochemical studies demonstrated that CpxP maintains a dimeric state but may undergo a slight structural adjustment in response to the inducing cue, alkaline pH. Three of the six previously characterized cpxP loss-of-function mutations, M59T, Q55P, and Q128H, likely result from a destabilization of the protein fold, whereas the R60Q, D61E, and D61V mutations may alter intermolecular interactions.

Profiling the Outer Membrane Proteome during Growth and Development of the Social Bacterium Myxococcus xanthus by Selective Biotinylation and Analyses of Outer Membrane Vesicles

Social behavior in the bacterium Myxococcus xanthus relies on contact-dependent activities involving cell-cell and cell-substratum interactions. To identify outer membrane proteins that have a role in these activities, we profiled the outer membrane proteome of growing and starving cells using two strategies. First, outer membrane proteins were enriched by biotinylation of intact cells using the reagent NHS (N-hydroxysuccinimide)-PEO(12) (polyethylene oxide)-biotin with subsequent membrane solubilization and affinity chromatography. Second, the proteome of outer membrane vesicles (OMV) was determined. Comparisons of detected proteins show that these methods have different detection profiles and together provide a comprehensive view of the outer membrane proteome. From 362 proteins identified, 274 (76%) were cell envelope proteins including 64 integral outer membrane proteins and 85 lipoproteins. The majority of these proteins were of unknown function. Among integral outer membrane proteins with homologues of known function, TonB-dependent transporters comprise the largest group. Our data suggest novel functions for these transporters. Among lipoproteins with homologues of known function, proteins with hydrolytic functions comprise the largest group. The luminal load of OMV was enriched for proteins with hydrolytic functions. Our data suggest that OMV have functions in predation and possibly in transfer of intercellular signaling molecules between cells.

English

Researches on archaeal microorganisms continue to excite the scientific community. Their unique adaptations that cater to hypersaline, hyperthermic, and hypothermic circumstances have incited research to manipulate those attributes for use in virtually every aspect of life. Adaptations in membrane, enzymes, and protein structures and components have potential applications in areas including electronics, agriculture, aquaculture, medicine, pharmaceuticals, food science, and nutrition. Although the time and effort required to new find archaeal homologues may be great, many believe that the economic and environmental benefits of such a breakthrough would be considerable enough to outweigh the challenges. An analysis of the archeal genome Aeropyrum pernix, showed that certain regions earlier thought to be ‘non-coding’ have significant sequence similarity to other protein sequences from archaea and other species. The available sequence analysis tools were used to identify a number of potential protein coding regions in these putative ‘non coding’ regions. We could identify 907 such regions and 282 of them apparently code for proteins present in archeal or other species. The remaining 625 regions are mostly start /stop conflicts. Of the 282 protein coding regions, only 64 code for proteins with homologues of known function. A good number of proteins show homology to proteins that are important for the survival of the organism. Hence these novel regions may be referred as homologues to coding regions. In addition Genome sequence collections should be regularly checked to improve gene prediction by sequence similarity and greater effort is required to make gene definitions consistent across related species.

Two-component regulator of Enterococcus faecalis cytolysin responds to quorum-sensing autoinduction

Bacteria of the genus Enterococcus are the main causes of highly antibiotic-resistant infections that are acquired in hospitals. Many clinical isolates of Enterococcus faecalis produce an exotoxin called cytolysin that contributes to bacterial virulence. In addition to its toxin activity, the cytolysin is bactericidal for nearly all Gram-positive organisms. An understanding of conditions that regulate cytolysin expression has advanced little since its initial description. Here we show that the products of two genes, cylR1 and cylR2, which lack homologues of known function, work together to repress transcription of cytolysin genes. Derepression occurs at a specific cell density when one of the cytolysin subunits reaches an extracellular threshold concentration. These observations form the basis of a model for the autoinduction of the cytolysin by a quorum-sensing mechanism involving a two-component regulatory system.

Quorum-sensing in Rhizobium.

Quorum-sensing signals are found in many species of legume-nodulating rhizobia. In a well-characterized strain of R. leguminosarum biovar viciae, a variety of autoinducers are synthesised, and all have been identified as N-acyl-homoserine lactones. One of these N-acyl-homoserine lactones, is N-(3-hydroxy-7-cis-tetradecenoyl)-L-homoserine lactone, previously known as small bacteriocin, which inhibits the growth of several R. leguminosarum strains. The cinRI locus is responsible for the production of small bacteriocin. CinR induces cinl in response to the AHL made by Cinl, thus forming a positive autoregulatory induction loop. A complex cascade of quorum-sensing loops was characterized, in which the cinMR locus appears to be the master control for three other AHL-dependent quorum-sensing control systems. These systems include the rail/raiR, trallyriR and rhiI/rhiR. Other rhizobial strains appear to share some of these quorum sensing loci, but not all loci are found in all strains. Small bacteriocin along with the other N-acyl-homoserine lactones produced by these three AHL-based control systems regulate (i) growth inhibition of sensitive strains, (ii) transfer of the symbiotic plasmid pRL1JI, and (iii) expression of the rhizosphere-expressed (rhi) genes that influence nodulation. Some of the genes regulated by these systems have been identified. While the functions of some, such as the trb operon regulated by triR are clear, several of the regulated genes have no homologues of known function. It is anticipated that several other genes regulated by these systems have yet to be identified. Therefore, despite the regulation of one of the most complex quorum-sensing cascade being understood, several of the functions regulated by the quorum-sensing genes remain to be elucidated.

Identification of the Human Methylmalonyl-CoA Racemase Gene Based on the Analysis of Prokaryotic Gene Arrangements: IMPLICATIONS FOR DECODING THE HUMAN GENOME

In this report, we identify the human DL-methylmalonyl-CoA racemase gene by analyzing prokaryotic gene arrangements and extrapolating the information obtained to human genes by homology searches. Sequence similarity searches were used to identify two groups of homologues that were frequently arranged with prokaryotic methylmalonyl-CoA mutase genes, and that were of unknown function. Both gene groups had homologues in the human genome. Because methylmalonyl-CoA mutases are involved in the metabolism of propionyl-CoA, we inferred that conserved neighbors of methylmalonyl-CoA mutase genes and their human homologues were also involved in this process. Subsequent biochemical studies confirmed this inference by showing that the prokaryotic gene PH0272 and its human homologue both encode DL-methylmalonyl-CoA racemases. To our knowledge this is the first report in which the function of a eukaryotic gene was determined based on the analysis of prokaryotic gene arrangements. Importantly, such analyses are rapid and may be generally applicable for the identification of human genes that lack homologues of known function or that have been misidentified on the basis of sequence similarity searches.

Immunoglobulin superfamily proteins in Caenorhabditis elegans

The predicted proteins of the genome of Caenorhabditis elegans were analysed by various sequence comparison methods to identify the repertoire of proteins that are members of the immunoglobulin superfamily (IgSF). The IgSF is one of the largest families of protein domain in this genome and likely to be one of the major families in other multicellular eukaryotes too. This is because members of the superfamily are involved in a variety of functions including cell-cell recognition, cell-surface receptors, muscle structure and, in higher organisms, the immune system. Sixty-four proteins with 488 I set IgSF domains were identified largely by using Hidden Markov models. The domain architectures of the protein products of these 64 genes are described. Twenty-one of these had been characterised previously. We show that another 25 are related to proteins of known function. The C. elegans IgSF proteins can be classified into five broad categories: muscle proteins, protein kinases and phosphatases, three categories of proteins involved in the development of the nervous system, leucine-rich repeat containing proteins and proteins without homologues of known function, of which there are 18. The 19 proteins involved in nervous system development that are not kinases or phosphatases are homologues of neuroglian, axonin, NCAM, wrapper, klingon, ICCR and nephrin or belong to the recently identified zig gene family. Out of the set of 64 genes, 22 are on the X chromosome. This study should be seen as an initial description of the IgSF repertoire in C. elegans, because the current gene definitions may contain a number of errors, especially in the case of long sequences, and there may be IgSF genes that have not yet been detected. However, the proteins described here do provide an overview of the bulk of the repertoire of immunoglobulin superfamily members in C. elegans, a framework for refinement and extension of the repertoire as gene and protein definitions improve, and the basis for investigations of their function and for comparisons with the repertoires of other organisms.

Novel coding regions in four complete archaeal genomes

In the process of analysing the four available complete archaeal genomes, we have noted that certain regions characterised as 'non-coding' exhibit significant sequence similarity to other protein sequences from Archaea and other species. Using established technology, we have identified a number of potential protein coding regions in these putative 'non-coding' regions. We have detected 524 such cases, of which 113 regions appear to code for proteins present in archaeal or other species, while the remaining 411 regions are mostly start/stop definition conflicts. Of the 113 protein coding regions, only 21 code for proteins with homologues of known function. The number of novel coding sequences identified herein amounts to 1. 5% of the total genome entries, while the conflicting cases represent an additional 5%. The observed differences between the four complete archaeal genomes seem to reflect disparate approaches to genome annotation. Genome sequence collections should be regularly checked to improve gene prediction by sequence similarity and greater effort is required to make gene definitions consistent across related species.