Analysis Of Bacterial Genomes Research Articles

Massive analysis of 64,628 bacterial genomes to decipher water reservoir and origin of mobile colistin resistance genes: is there another role for these enzymes?

Since 2015, new worrying colistin resistance mechanism, mediated by mcr-1 gene has been reported worldwide along with eight newly described variants but their source(s) and reservoir(s) remain largely unexplored. Here, we conducted a massive bioinformatic analysis of bacterial genomes to investigate the reservoir and origin of mcr variants. We identified 13’658 MCR-1 homologous sequences in 494 bacterial genera. Moreover, analysis of 64’628 bacterial genomes (60 bacterial genera and 1’047 species) allows identifying a total of 6’651 significant positive hits (coverage >90% and similarity >50%) with the nine MCR variants from 39 bacterial genera and more than 1’050 species. A high number of MCR-1 was identified in Escherichia coli (n = 862). Interestingly, while almost all variants were identified in bacteria from different sources (i.e. human, animal, and environment), the last variant, MCR-9, was exclusively detected in bacteria from human. Although these variants could be identified in bacteria from human and animal sources, we found plenty MCR variants in unsuspected bacteria from environmental origin, especially from water sources. The ubiquitous presence of mcr variants in bacteria from water likely suggests another role in the biosphere of these enzymes as an unknown defense system against natural antimicrobial peptides and/or bacteriophage predation.

Colistin-resistant Klebsiella pneumoniae ST307 clone: Epidemiological, risk factors and massive molecular analysis of bacterial genomes linked to an outbreak in Marseille, France

Colistin-resistant Klebsiella pneumoniae ST307 clone: Epidemiological, risk factors and massive molecular analysis of bacterial genomes linked to an outbreak in Marseille, France

Rearrangement analysis of multiple bacterial genomes

BackgroundGenomes are subjected to rearrangements that change the orientation and ordering of genes during evolution. The most common rearrangements that occur in uni-chromosomal genomes are inversions (or reversals) to adapt to the changing environment. Since genome rearrangements are rarer than point mutations, gene order with sequence data can facilitate more robust phylogenetic reconstruction. Helicobacter pylori is a good model because of its unique evolution in niche environment.ResultsWe have developed a method to identify genome rearrangements by comparing almost-conserved genes among closely related strains. Orthologous gene clusters, rather than the gene sequences, are used to align the gene order so that comparison of large number of genomes becomes easier. Comparison of 72 Helicobacter pylori strains revealed shared as well as strain-specific reversals, some of which were found in different geographical locations.ConclusionDegree of genome rearrangements increases with time. Therefore, gene orders can be used to study the evolutionary relationship among species and strains. Multiple genome comparison helps to identify the strain-specific as well as shared reversals. Identification of the time course of rearrangements can provide insights into evolutionary events.

Division of labor in honey bee gut microbiota for plant polysaccharide digestion

Bees acquire carbohydrates from nectar and lipids; and amino acids from pollen, which also contains polysaccharides including cellulose, hemicellulose, and pectin. These potential energy sources could be degraded and fermented through microbial enzymatic activity, resulting in short chain fatty acids available to hosts. However, the contributions of individual microbiota members to polysaccharide digestion have remained unclear. Through analysis of bacterial isolate genomes and a metagenome of the honey bee gut microbiota, we identify that Bifidobacterium and Gilliamella are the principal degraders of hemicellulose and pectin. Both Bifidobacterium and Gilliamella show extensive strain-level diversity in gene repertoires linked to polysaccharide digestion. Strains from honey bees possess more such genes than strains from bumble bees. In Bifidobacterium, genes encoding carbohydrate-active enzymes are colocated within loci devoted to polysaccharide utilization, as in Bacteroides from the human gut. Carbohydrate-active enzyme-encoding gene expressions are up-regulated in response to particular hemicelluloses both in vitro and in vivo. Metabolomic analyses document that bees experimentally colonized by different strains generate distinctive gut metabolomic profiles, with enrichment for specific monosaccharides, corresponding to predictions from genomic data. The other 3 core gut species clusters (Snodgrassella and 2 Lactobacillus clusters) possess few or no genes for polysaccharide digestion. Together, these findings indicate that strain composition within individual hosts determines the metabolic capabilities and potentially affects host nutrition. Furthermore, the niche specialization revealed by our study may promote overall community stability in the gut microbiomes of bees.

Large scale enterohemorrhagic E coli population genomic analysis using whole genome typing reveals recombination clusters and potential drug target

Enterohemorrhagic Escherichia coli continues to be a significant public health risk. With the onset of next generation sequencing, whole genome sequences require a new paradigm of analysis relevant for epidemiology and drug discovery. A large-scale bacterial population genomic analysis was applied to 702 isolates of serotypes associated with EHEC resulting in five pangenome clusters. Serotype incongruence with pangenome types suggests recombination clusters. Core genome analysis was performed to determine the population wide distribution of sdiA as potential drug target. Protein modelling revealed nonsynonymous variants are notably absent in the ligand binding site for quorum sensing, indicating that population wide conservation of the sdiA ligand site can be targeted for potential prophylactic purposes. Applying pathotype-wide pangenomics as a guide for determining evolution of pharmacophore sites is a potential approach in drug discovery.

Advances in foodborne outbreak investigation and source tracking using whole genome sequencing

The progress in sequencing technology has revolutionized the fields of public health and food microbiology. Today, whole genome sequencing allows high-throughput analysis of entire bacterial genomes at affordable costs. Whole genome sequencing has become a daily routine process for surveillance of foodborne infectious diseases, outbreak investigation, and pathogen source tracking. Several studies on a variety of bacterial species have shown that whole genome sequence-based typing approaches are currently the most powerful typing tools. Whole genome sequencing allows the extraction of information on phylogenetic relatedness, antibiotic resistance, virulence-traits, serotype and multilocus sequence type of an isolate from a single analysis. The optimal typing resolution achievable by whole genome sequencing makes it possible to monitor even small genetic variations occurring in an outbreak strain during the course of an outbreak, making transmission events traceable. Whole genome sequencing allowed the creation of global databases based on standardized nomenclatures like the current multilocus sequence type databases. The benefit of global databases is the international exchange of data as a prerequisite for cross border outbreak investigation, strain tracking, and source identification in the global food chain. With further technological advancement, metagenomic approaches may provide future solutions, allowing complete pathogen detection and characterization directly from specimens.

MarTrack: A versatile toolbox of mariner transposon derivatives used for functional genetic analysis of bacterial genomes

The mariner transposon family of Himar1 has been widely used for the random mutagenesis of bacteria to generate single insertions into the chromosome. Here, a versatile toolbox of mariner transposon derivatives was generated and applied to the functional genomics investigation of fish pathogen Edwardsiella piscicida. In this study, we combined the merits of the random mutagenesis of mariner transposon and common efficient reporter marker genes or regulatory elements, mCherry, gfp, luxAB, lacZ, sacBR, and PBAD and antibiotic resistance cassettes to construct a series of derivative transposon vectors, pMmch, pMKGR, pMCGR, pMXKGR, pMLKGR, pMSGR, and pMPR, based on the initial transposon pMar2xT7. The function and effectiveness of the modified transposons were verified by introducing them into E. piscicida EIB202. Based on the toolbox, a transposon insertion mutant library containing approximately 3.0 × 105 distinct mutants was constructed to explore the upstream regulators of esrB, the master regulator of the type III and type VI secretion systems (T3/T6SS) in E. piscicida. Following analysis by Con-ARTIST, ETAE_3474, annotated as fabR and involved in fatty acid metabolism, was screened out and identified as a novel regulator mediating T3SS and T6SS expression. In addition, the fabR mutants displayed critical virulence attenuation in turbot. Due to the broad-range host compatibility of mariner transposons, the newly built transposon toolbox can be applied for functional genomics studies in various bacteria.

A Reverse Ecology Approach Based on a Biological Definition of Microbial Populations

Delineating ecologically meaningful populations among microbes is important for identifying their roles in environmental and host-associated microbiomes. Here, we introduce a metric of recent gene flow, which when applied to co-existing microbes, identifies congruent genetic and ecological units separated by strong gene flow discontinuities from their next of kin. We then develop a pipeline to identify genome regions within these units that show differential adaptation and allow mapping of populations onto environmental variables or host associations. Using this reverse ecology approach, we show that the human commensal bacterium Ruminococcus gnavus breaks up into sharply delineated populations that show different associations with health and disease. Defining populations by recent gene flow in this way will facilitate the analysis of bacterial and archaeal genomes using ecological and evolutionary theory developed for plants and animals, thus allowing for testing unifying principles across all biology.

Cano-wgMLST_BacCompare: A Bacterial Genome Analysis Platform for Epidemiological Investigation and Comparative Genomic Analysis.

With the decreasing cost of next-generation sequencing, whole-genome sequence-based bacterial genome comparisons are expected to become a mainstream process in the public health domain. Extended multilocus sequence typing (MLST) methods are becoming increasingly popular for use in comparing bacterial genetic relatedness in epidemiological investigations. Several extended MLST schemes based on biological signatures have been reported. Among them, whole-genome MLST (wgMLST) has gradually become one of the most widely used approaches for bacterial strain typing. In addition to using bacterial typing, many researchers aim to identify differences in the genes of compared strains. Because these differences might provide insights into critical bacterial functions, such as virulence and pathogenicity, researchers usually study these genes that differ between strains. Hence, we designed a web service tool based on wgMLST-constructed tree topology coupled with the feature selection method to create the “canonical wgMLST (cano-wgMLST) tree.” The genes that differ between strains are shown at each split of the tree, thereby directly providing information for performing a comparative genomic analysis for each strain pair. We demonstrated that this web service tool could be operated efficiently on two datasets consisting of 22 Campylobacter jejuni isolates and 59 S. Heidelberg isolates, respectively. We imposed this tool on a designated web server, cano-wgMLST_BacCompare, to enable users to create a wgMLST tree and canonical wgMLST tree automatically from their uploaded bacterial genomes for not only epidemiological investigation but also comparative genomic analysis. Additionally, detailed information on how to use this service is provided. The cano-wgMLST_BacCompare is available at http://baccompare.imst.nsysu.edu.tw.

Active sulfite oxidase domain of Salmonella enterica pathogenic protein small intestine invasive factor E (SiiE): a potential diagnostic target.

Serovars of Salmonella enterica are common food-borne bacterial pathogens. Salmonella typhi, which causes typhoid, is the most dangerous of them. Though detailed molecular pathogenesis studies reveal many virulence factors, inability to identify their biochemical functions hampers the development of diagnostic methods and therapeutic leads. Lack of quicker diagnosis is an impediment in starting early antibiotic treatment to reduce the severe morbidity and mortality in typhoid. In this study, employing bioinformatic prediction, biochemical analysis, and recombinantly cloning the active region, we show that extracellularly secreted virulence-associated protein, small intestinal invasion factor E (SiiE), possesses a sulfite oxidase (SO) domain that catalyzes the conversion of sodium sulfite to sodium sulfate using tungsten as the cofactor. This activity common to Salmonella enterica serovars seems to be specific to them from bioinformatic analysis of available bacterial genomes. Along with the ability of this large non-fimbrial adhesin of 600kDa binding to sialic acid on the host cells, this activity could aid in subverting the host defense mechanism by destroying sulfites released by the immune cells and colonize the host gastrointestinal epithelium. Being an extracellular enzyme, it could be an ideal candidate for developing diagnostics of S. enterica, particularly S. typhi.

TORMES: an automated pipeline for whole bacterial genome analysis.

The progress of High Throughput Sequencing (HTS) technologies and the reduction in the sequencing costs are such that Whole Genome Sequencing (WGS) could replace many traditional laboratory assays and procedures. Exploiting the volume of data produced by HTS platforms requires substantial computing skills and this is the main bottleneck in the implementation of WGS as a routine laboratory technique. The way in which the vast amount of results are presented to researchers and clinicians with no specialist knowledge of genome sequencing is also a significant issue. Here we present TORMES, a user-friendly pipeline for WGS analysis of bacteria from any origin generated by HTS on Illumina platforms. TORMES is designed for non-bioinformatician users, and automates the steps required for WGS analysis directly from the raw sequence data: sequence quality filtering, de novo assembly, draft genome ordering against a reference, genome annotation, multi-locus sequence typing (MLST), searching for antibiotic resistance and virulence genes, and pangenome comparisons. Once the analysis is finished, TORMES generates and interactive web-like report that can be opened in any web browser and shared and revised by researchers in a simple manner. TORMES can be run by using very simple commands and represent a quick an easy way to perform WGS analysis. TORMES is free available at https://github.com/nmquijada/tormes. Supplementary data are available at Bioinformatics online.

Bacterial genome sequencing and analysis: paving the way for a Switzerland-wide molecular epidemiological surveillance platform.

Facing multidrug resistant (MDR) bacterial pathogens is one of the most important challenges for our society. The spread of highly virulent and resistant pathogens can be described using molecular typing technologies; in particular, whole genome sequencing (WGS) data can be usedf or molecular typing purposes with high resolution. WGS data analysis can explain the spatiotemporal patterns of pathogen transmission. However, the transmission between compartments (human, animal, food, environment) is very complex. Interoperable and curated metadata are a key requirement for fully understanding this complexity. In addition, high quality sequence data are a key element between centres using WGS data for diagnostic and epidemiological applications. We aim to describe steps to improve WGS data analysis and to implement a molecular surveillance platform allowing integration of high resolution WGS typing data and epidemiological data.

Improving the quality and workflow of bacterial genome sequencing and analysis: paving the way for a Switzerland-wide molecular epidemiological surveillance platform.

Facing multidrug resistant (MDR) bacterial pathogens is one of the most important challenges for our society. The spread of highly virulent and resistant pathogens can be described using molecular typing technologies; in particular, whole genome sequencing (WGS) data can be used for molecular typing purposes with high resolution. WGS data analysis can explain the spatiotemporal patterns of pathogen transmission. However, the transmission between compartments (human, animal, food, environment) is very complex. Interoperable and curated metadata are a key requirement for fully understanding this complexity. In addition, high quality sequence data are a key element between centres using WGS data for diagnostic and epidemiological applications. We aim to describe steps to improve WGS data analysis and to implement a molecular surveillance platform allowing integration of high resolution WGS typing data and epidemiological data.

Fecal microbiota transplantation alleviates myocardial damage in myocarditis by restoring the microbiota composition.

Myocarditis can be caused by several infectious and noninfectious causes. Treatment for myocarditis is still a difficult task in clinical practice. The gut microbiota is related to cardiovascular diseases such as atherosclerosis and hypertension. However, little is known about the role of the gut microbiota in myocarditis. In our study, we tested the hypothesis that gut dysbiosis is associated with myocarditis. We focused on whether fecal microbiota transplantation (FMT) can be used as an effective treatment for myocarditis. We used an experimental autoimmune myocarditis (EAM) mouse model. Fecal samples were isolated from the control and EAM groups for bacterial genome analysis. We observed an increase in microbial richness and diversity in the myocarditis mice. These changes were accompanied by an increased Firmicutes/Bacteroidetes ratio. We also evaluated the efficacy of FMT for the treatment of myocarditis. EAM mouse guts were repopulated with fecal contents from an untreated male mouse donor. We found that myocardial injury was improved by diminished inflammatory infiltration, showing that IFN-γ gene expression in the heart tissue and CD4+IFN-γ+ cells in the spleen were decreased after FMT in EAM mice. We also found that FMT was able to rebalance the gut microbiota by restoring the Bacteroidetes population and reshaping the microbiota composition. Myocarditis is associated with gut microbiota dysbiosis and characterized by an increased F/B ratio. FMT treatment can rebalance the gut microbiota and attenuate myocarditis. Thus, FMT may be a potential therapeutic strategy for the treatment of myocarditis.

RETRACTED: MarTrack: A versatile toolbox of mariner transposon derivatives used for functional genetic analysis of bacterial genomes

The mariner transposon family of Himar1 has been widely used for the random mutagenesis of bacteria to generate single insertions into the chromosome. Here, a versatile toolbox of mariner transposon derivatives was generated and applied to the functional genomics investigation of fish pathogen Edwardsiella piscicida. In this study, we combined the merits of the random mutagenesis of mariner transposon and common efficient reporter marker genes or regulatory elements, mcherry, gfp, luxAB, lacZ, sacBR, and PBAD and antibiotic resistance cassettes to construct a series of derivative transposon vectors, pMmch, pMKGR, pMCGR, pMXKGR, pMLKGR, pMSGR, and pMPR, based on the initial transposon pMar2xT7. The function and effectiveness of the modified transposons were verified by introducing them into E. piscicida EIB202. Based on the toolbox, a transposon insertion mutant library containing approximately 3.0 × 105 separated mutants was constructed to explore the upstream regulators of esrB, the master regulator of the type III and type VI secretion systems (T3/T6SS) in E. piscicida. Following analysis by Con-ARTIST, ETAE_2184 (renamed as EsrR) was screened out and identified as a novel regulator mediating T3SS expression. In addition, the esrR mutants displayed critical virulence attenuation. Due to the broad-range host compatibility of mariner transposons, the newly built transposon toolbox can be broadly applied for functional genomics studies in various bacteria.

Salvage of the 5-deoxyribose byproduct of radical SAM enzymes

5-Deoxyribose is formed from 5′-deoxyadenosine, a toxic byproduct of radical S-adenosylmethionine (SAM) enzymes. The degradative fate of 5-deoxyribose is unknown. Here, we define a salvage pathway for 5-deoxyribose in bacteria, consisting of phosphorylation, isomerization, and aldol cleavage steps. Analysis of bacterial genomes uncovers widespread, unassigned three-gene clusters specifying a putative kinase, isomerase, and sugar phosphate aldolase. We show that the enzymes encoded by the Bacillus thuringiensis cluster, acting together in vitro, convert 5-deoxyribose successively to 5-deoxyribose 1-phosphate, 5-deoxyribulose 1-phosphate, and dihydroxyacetone phosphate plus acetaldehyde. Deleting the isomerase decreases the 5-deoxyribulose 1-phosphate pool size, and deleting either the isomerase or the aldolase increases susceptibility to 5-deoxyribose. The substrate preference of the aldolase is unique among family members, and the X-ray structure reveals an unusual manganese-dependent enzyme. This work defines a salvage pathway for 5-deoxyribose, a near-universal metabolite.

Clinical Manifestations and Bacterial Genomic Analysis of Group A Streptococcus Strains That Cause Pediatric Toxic Shock Syndrome.

We report here 18 cases of pediatric group A streptococcal toxic shock syndrome, associated clinical findings, and bacterial molecular genetic characteristics discovered through whole-genome sequencing. This comparative whole-genome sequencing revealed unique gene content (speK) and polymorphisms (dpiB) in emm87 group A Streptococcus, the relative contributions of which, in combination with the host response, in the development of streptococcal toxic shock syndrome remain to be elucidated.

Methodological considerations for the identification of choline and carnitine-degrading bacteria in the gut.

The bacterial formation of trimethylamine (TMA) has been linked to cardiovascular disease. This review focuses on the methods employed to investigate the identity of the bacteria responsible for the formation of TMA from dietary choline and carnitine in the human gut. Recent studies have revealed the metabolic pathways responsible for bacterial TMA production, primarily the anaerobic glycyl radical-containing, choline-TMA lyase, CutC and the aerobic carnitine monooxygenase, CntA. Identification of these enzymes has enabled bioinformatics approaches to screen both human-associated bacterial isolate genomes and whole gut metagenomes to determine which bacteria are responsible for TMA formation in the human gut. We centre on several key methodological aspects for identifying the TMA-producing bacteria and report how these pathways can be identified in human gut microbiota through bioinformatics analysis of available bacterial genomes and gut metagenomes.

Genome‐Mining in Pseudomonads Identifies a New Class of Small Molecules

Bioactive small molecules often play an important role in bacterial virulence. Identification and exploration of these molecules will help develop an understanding of new mechanisms for infection and potentially identify novel targets to inhibit virulence. Analysis of bacterial genomes identifies a large number of gene clusters that encode for small molecule‐synthesizing enzymes (biosynthetic gene clusters), many of which are unexplored. Through genetic manipulation of these clusters, we can discover their small molecule products and determine their biological roles.We have identified a biosynthetic gene cluster conserved in over 300 strains of Pseudomonads. Many of these strains engage in pathogenic or symbiotic relationships with a range of human, animal, and plant hosts. We have shown that deletions within this gene cluster, named the pseudomonas virulence factor (pvf), reduce fly infection by the pathogen Pseudomonas entomophila. In particular, the small molecule products of the pvf pathway are suggested to play a role in bacterial signaling and activation of virulence.Through overexpression of the pvf cluster in its native P. entomophila strain, we have discovered and characterized a number of small molecules that the pvf gene cluster is responsible for. These molecules include a class of pyrazine compounds, some of which are new to biology. We use fly infection and promoter‐reporter assays to determine the biological roles of these molecules in virulence and cell‐to‐cell signaling of P. entomophila. Pyrazines have been previously identified as volatiles in a number of bacteria, but their biological role and biosynthetic origins remain unknown.Our work provides novel insights into the biosynthesis of pyrazines. By characterizing the structures and functions of bioactive small molecules from pathogens, our work has the potential to develop an understanding for the production of these compounds and reveal novel and useful antimicrobial targets.Support or Funding InformationThis work was supported by the Burroughs Wellcome Fund Fellowship In Organic Chemistry and the University of North Carolina, Chapel Hill.This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal.

The PLUTO plastidial nucleobase transporter also transports the thiamin precursor hydroxymethylpyrimidine

In plants, the hydroxymethylpyrimidine (HMP) and thiazole precursors of thiamin are synthesized and coupled together to form thiamin in plastids. Mutants unable to form HMP can be rescued by exogenous HMP, implying the presence of HMP transporters in the plasma membrane and plastids. Analysis of bacterial genomes revealed a transporter gene that is chromosomally clustered with thiamin biosynthesis and salvage genes. Its closest Arabidopsis homolog, the plastidic nucleobase transporter (PLUTO), is co-expressed with several thiamin biosynthetic enzymes. Heterologous expression of PLUTO in Escherichia coli or Saccharomyces cerevisiae increased sensitivity to a toxic HMP analog, and disrupting PLUTO in an HMP-requiring Arabidopsis line reduced root growth at low HMP concentrations. These data implicate PLUTO in plastidial transport and salvage of HMP.