Functional Annotation Analytics of Bacillus Genomes Reveals Stress Responsive Acetate Utilization and Sulfate Uptake in the Biotechnologically Relevant Bacillus megaterium

Insights into Functions of Universal Stress Proteins Encoded by Genomes of Gastric Cancer Pathogen Helicobacter pylori and Related Bacteria

The genes that encode the universal stress protein (USP) family domain (pfam00582) aid the survival of bacteria in specific host or habitat-induced stress conditions. Genome sequencing revealed that the genome of Helicobacter pylori, a gastric cancer pathogen, typically contains one USP gene, while related helicobacters have one or two distinct USP genes. However, insights into the functions of Helicobacteraceae (Helicobacter and Wolinella) USP genes are still limited to inferences from large-scale genome sequencing. Thus, we have combined bioinformatics and visual analytics approaches to conduct a more comprehensive data investigation of a set of 1045 universal stress protein sequences encoded in 1014 genomes including 785 Helicobacter pylori genomes. The study generated a representative set of 183 USP sequences consisting of 180 Helicobacter sequences, two Wolinella succinogenes sequences, and a sequence from a related campylobacteria. We used the amino acid residues and positions of the 12 possible functional sites in 1030 sequences to identify 25 functional sites patterns for guiding studies on functional interactions of Helicobacteraceae USPs with ATP and other molecules. Genomic context searches and analysis identified USP genes of gastric and enterohepatic helicobacters that are adjacent or in operons with genes for proteins responsive to DNA-damaging oxidative stress (ATP-dependent proteases: ClpS and ClpA); and DNA uptake proteins (natural competence for transformation proteins: ComB6, ComB7, ComB8, ComB9, ComB10, ComBE, and conjugative transfer signal peptidase TraF). Since transcriptomic evidence indicates that oxidative stress and the presence of virulence-associated genes regulate the transcription of H. pylori USP gene, we recommend further research on Helicobacter USP genes and their neighboring genes in oxidative stress response and virulence of helicobacters. To facilitate the reuse of data and research, we produced interactive analytics resources of a dataset composed of values for variables including phylogeography of H. pylori strains, protein sequence features, and gene neighborhood.

Bacterial Sirtuins Overview: An Open Niche to Explore

Sirtuins are deacetylase enzymes widely distributed in all domains of life. Although for decades they have been related only to histones deacetylation in eukaryotic organisms, today they are considered global regulators in both prokaryotes and eukaryotes. Despite the important role of sirtuins in humans, the knowledge about bacterial sirtuins is still limited. Several proteomics studies have shown that bacterial sirtuins deacetylate a large number of lysines in vivo, although the effect that this deacetylation causes in most of them remains unknown. To date, only the regulation of a few bacterial sirtuin substrates has been characterized, being their metabolic roles widely distributed: carbon and nitrogen metabolism, DNA transcription, protein translation, or virulence. One of the most current topics on acetylation and deacetylation focuses on studying stoichiometry using quantitative LC-MS/MS. The results suggest that prokaryotic sirtuins deacetylate at low stoichiometry sites, although more studies are needed to know if it is a common characteristic of bacterial sirtuins and its biological significance. Unlike eukaryotic organisms, bacteria usually have one or few sirtuins, which have been reported to have closer phylogenetic similarity with the human Sirt5 than with any other human sirtuin. In this work, in addition to carrying out an in-depth review of the role of bacterial sirtuins in their physiology, a phylogenetic study has been performed that reveals the evolutionary differences between sirtuins of different bacterial species and even between homologous sirtuins.

Bioinformatics Investigations of Universal Stress Proteins from Mercury-Methylating Desulfovibrionaceae

The presence of methylmercury in aquatic environments and marine food sources is of global concern. The chemical reaction for the addition of a methyl group to inorganic mercury occurs in diverse bacterial taxonomic groups including the Gram-negative, sulfate-reducing Desulfovibrionaceae family that inhabit extreme aquatic environments. The availability of whole-genome sequence datasets for members of the Desulfovibrionaceae presents opportunities to understand the microbial mechanisms that contribute to methylmercury production in extreme aquatic environments. We have applied bioinformatics resources and developed visual analytics resources to categorize a collection of 719 putative universal stress protein (USP) sequences predicted from 93 genomes of Desulfovibrionaceae. We have focused our bioinformatics investigations on protein sequence analytics by developing interactive visualizations to categorize Desulfovibrionaceae universal stress proteins by protein domain composition and functionally important amino acids. We identified 651 Desulfovibrionaceae universal stress protein sequences, of which 488 sequences had only one USP domain and 163 had two USP domains. The 488 single USP domain sequences were further categorized into 340 sequences with ATP-binding motif and 148 sequences without ATP-binding motif. The 163 double USP domain sequences were categorized into (1) both USP domains with ATP-binding motif (3 sequences); (2) both USP domains without ATP-binding motif (138 sequences); and (3) one USP domain with ATP-binding motif (21 sequences). We developed visual analytics resources to facilitate the investigation of these categories of datasets in the presence or absence of the mercury-methylating gene pair (hgcAB). Future research could utilize these functional categories to investigate the participation of universal stress proteins in the bacterial cellular uptake of inorganic mercury and methylmercury production, especially in anaerobic aquatic environments.

Twenty-Five Years of Investigating the Universal Stress Protein: Function, Structure, and Applications

Since the initial discovery of universal stress protein A (UspA) 25 years ago, remarkable advances in molecular and biochemical technologies have revolutionized our understanding of biology. Many studies using these technologies have focused on characterization of the uspA gene and Usp-type proteins. These studies have identified the conservation of Usp-like proteins across bacteria, archaea, plants, and even some invertebrate animals. Regulation of these proteins under diverse stresses has been associated with different stress-response genes including spoT and relA in the stringent response and the dosR two-component signaling pathways. These and other foundational studies suggest Usps serve regulatory and protective roles to enable adaptation and survival under external stresses. Despite these foundational studies, many bacterial species have multiple paralogs of genes encoding these proteins and ablation of the genes does not provide a distinct phenotype. This outcome has limited our understanding of the biochemical functions of these proteins. Here, we summarize the current knowledge of Usps in general and UspA in particular across different genera as well as conclusions about their functions from seminal studies in diverse organisms. Our objective has been to organize the foundational studies in this field to identify the significant impediments to further understanding of Usp functions at the molecular level. We propose ideas and experimental approaches that may overcome these impediments and drive future development of molecular approaches to understand and target Usps as central regulators of stress adaptation and survival. Despite the fact that the full functions of Usps are still not known, creative many applications have already been proposed, tested, and used. The complementary approaches of basic research and applications, along with new technology and analytic tools, may yield the elusive yet critical functions of universal stress proteins in diverse systems.

Genomic Evidence for Bacterial Determinants Influencing Obesity Development

Obesity is a major global public health problem requiring multifaceted interventional approaches including dietary interventions with probiotic bacteria. High-throughput genome sequencing of microbial communities in the mammalian gastrointestinal system continues to present diverse protein function information to understand the bacterial determinants that influence obesity development. The goal of the research reported in this article was to identify biological processes in probiotic bacteria that could influence the mechanisms for the extraction of energy from diet in the human gastrointestinal system. Our research strategy of combining bioinformatics and visual analytics methods was based on the identification of operon gene arrangements in genomes of Lactobacillus species and Akkermansiamuciniphila that include at least a gene for a universal stress protein. The two major findings from this research study are related to Lactobacillus plantarum and Akkermansia muciniphila bacteria species which are associated with weight-loss. The first finding is that Lactobacillus plantarum strains have a two-gene operon that encodes a universal stress protein for stress response and the membrane translocator protein (TSPO), known to function in mitochondrial fatty acid oxidation in humans. The second finding is the presence of a three-gene operon in Akkermansia muciniphila that includes a gene whose human mitochondrial homolog is associated with waist-hip ratio and fat distribution. From a public health perspective, elucidation of the bacterial determinants influencing obesity will help in educating the public on optimal probiotic use for anti-obesity effects.

Evaluative profiling of arsenic sensing and regulatory systems in the human microbiome project genomes

The influence of environmental chemicals including arsenic, a type 1 carcinogen, on the composition and function of the human-associated microbiota is of significance in human health and disease. We have developed a suite of bioinformatics and visual analytics methods to evaluate the availability (presence or absence) and abundance of functional annotations in a microbial genome for seven Pfam protein families: As(III)-responsive transcriptional repressor (ArsR), anion-transporting ATPase (ArsA), arsenical pump membrane protein (ArsB), arsenate reductase (ArsC), arsenical resistance operon transacting repressor (ArsD), water/glycerol transport protein (aquaporins), and universal stress protein (USP). These genes encode function for sensing and/or regulating arsenic content in the bacterial cell. The evaluative profiling strategy was applied to 3,274 genomes from which 62 genomes from 18 genera were identified to contain genes for the seven protein families. Our list included 12 genomes in the Human Microbiome Project (HMP) from the following genera: Citrobacter, Escherichia, Lactobacillus, Providencia, Rhodococcus, and Staphylococcus. Gene neighborhood analysis of the arsenic resistance operon in the genome of Bacteroides thetaiotaomicron VPI-5482, a human gut symbiont, revealed the adjacent arrangement of genes for arsenite binding/transfer (ArsD) and cytochrome c biosynthesis (DsbD_2). Visual analytics facilitated evaluation of protein annotations in 367 genomes in the phylum Bacteroidetes identified multiple genomes in which genes for ArsD and DsbD_2 were adjacently arranged. Cytochrome c, produced by a posttranslational process, consists of heme-containing proteins important for cellular energy production and signaling. Further research is desired to elucidate arsenic resistance and arsenic-mediated cellular energy production in the Bacteroidetes.

Application of Hybrid Functional Groups to Predict ATP Binding Proteins

The ATP binding proteins exist as a hybrid of proteins with Walker A motif and universal stress proteins (USPs) having an alternative motif for binding ATP. There is an urgent need to find a reliable and comprehensive hybrid predictor for ATP binding proteins using whole sequence information. In this paper the open source LIBSVM toolbox was used to build a classifier at 10-fold cross-validation. The best hybrid model was the combination of amino acid and dipeptide composition with an accuracy of 84.57% and Mathews correlation coefficient (MCC) value of 0.693. This classifier proves to be better than many classical ATP binding protein predictors. The general trend observed is that combinations of descriptors performed better and improved the overall performances of individual descriptors, particularly when combined with amino acid composition. The work developed a comprehensive model for predicting ATP binding proteins irrespective of their functional motifs. This model provides a high probability of success for molecular biologists in predicting and selecting diverse groups of ATP binding proteins irrespective of their functional motifs.