scholarly journals A Mating Procedure for Genetic Transfer of Integrative and Conjugative Elements (ICEs) of Streptococci and Enterococci

2021 ◽  
Vol 4 (3) ◽  
pp. 59
Author(s):  
Francesco Iannelli ◽  
Francesco Santoro ◽  
Valeria Fox ◽  
Gianni Pozzi
Keyword(s):  
Sequence Data ◽  
Bacterial Species ◽  
Bacterial Genome ◽  
Conjugative Transfer ◽  
Bacterial Genomes ◽  
Genetic Elements ◽  
Integrative And Conjugative Elements ◽  
Solid Media ◽  
Donor Cells

DNA sequencing of whole bacterial genomes has revealed that the entire set of mobile genes (mobilome) represents as much as 25% of the bacterial genome. Despite the huge availability of sequence data, the functional analysis of the mobile genetic elements (MGEs) is rarely reported. Therefore, established laboratory protocols are needed to investigate the biology of this important part of the bacterial genome. Conjugation is a mechanism of horizontal gene transfer which allows the exchange of MGEs among strains of the same or different bacterial species. In streptococci and enterococci, integrative and conjugative elements (ICEs) represent a large part of the mobilome. Here, we describe an efficient and easy-to-perform plate mating protocol for in vitro conjugative transfer of ICEs in streptococci (Streptococcus pneumoniae, Streptococcus agalactiae, Streptococcus gordonii, Streptococcus pyogenes), Enterococcus faecalis, and Bacillus subtilis. Conjugative transfer is carried out on solid media and selection of transconjugants is performed with a multilayer plating. This protocol allows the transfer of large genetic elements with a size up to 81 kb, and a transfer frequency up to 6.7 × 10−3 transconjugants/donor cells.

scholarly journals Assembly and transfer of tripartite integrative and conjugative genetic elements

2016 ◽  
Vol 113 (43) ◽  
pp. 12268-12273 ◽  
Author(s):  
Timothy L. Haskett ◽  
Jason J. Terpolilli ◽  
Amanuel Bekuma ◽  
Graham W. O’Hara ◽  
John T. Sullivan ◽  
...  
Keyword(s):  
Genomic Islands ◽  
Conjugative Transfer ◽  
Bacterial Genomes ◽  
Genetic Elements ◽  
Integrative And Conjugative Elements ◽  
Mesorhizobium Ciceri ◽  
Bacterial Chromosomes ◽  
Western Australian ◽  
Genome Comparisons

Integrative and conjugative elements (ICEs) are ubiquitous mobile genetic elements present as “genomic islands” within bacterial chromosomes. Symbiosis islands are ICEs that convert nonsymbiotic mesorhizobia into symbionts of legumes. Here we report the discovery of symbiosis ICEs that exist as three separate chromosomal regions when integrated in their hosts, but through recombination assemble as a single circular ICE for conjugative transfer. Whole-genome comparisons revealed exconjugants derived from nonsymbiotic mesorhizobia received three separate chromosomal regions from the donorMesorhizobium ciceriWSM1271. The three regions were each bordered by two nonhomologous integrase attachment (att) sites, which together comprised three homologous pairs ofattLandattRsites. Sequential recombination between eachattLandattRpair produced correspondingattPandattBsites and joined the three fragments to produce a single circular ICE, ICEMcSym1271. A plasmid carrying the threeattPsites was used to recreate the process of tripartite ICE integration and to confirm the role of integrase genesintS,intM, andintGin this process. Nine additional tripartite ICEs were identified in diverse mesorhizobia and transfer was demonstrated for three of them. The transfer of tripartite ICEs to nonsymbiotic mesorhizobia explains the evolution of competitive but suboptimal N2-fixing strains found in Western Australian soils. The unheralded existence of tripartite ICEs raises the possibility that multipartite elements reside in other organisms, but have been overlooked because of their unusual biology. These discoveries reveal mechanisms by which integrases dramatically manipulate bacterial genomes to allow cotransfer of disparate chromosomal regions.

scholarly journals Consistent Metagenome-Derived Metrics Verify and Delineate Bacterial Species Boundaries

mSystems ◽  
2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Matthew R. Olm ◽  
Alexander Crits-Christoph ◽  
Spencer Diamond ◽  
Adi Lavy ◽  
Paula B. Matheus Carnevali ◽  
...  
Keyword(s):  
Bacterial Diversity ◽  
Ribosomal Proteins ◽  
Large Scale ◽  
Bacterial Species ◽  
Bacterial Genome ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Species Discrimination ◽  
Bacterial Genomes ◽  
Discrimination Power

ABSTRACT Longstanding questions relate to the existence of naturally distinct bacterial species and genetic approaches to distinguish them. Bacterial genomes in public databases form distinct groups, but these databases are subject to isolation and deposition biases. To avoid these biases, we compared 5,203 bacterial genomes from 1,457 environmental metagenomic samples to test for distinct clouds of diversity and evaluated metrics that could be used to define the species boundary. Bacterial genomes from the human gut, soil, and the ocean all exhibited gaps in whole-genome average nucleotide identities (ANI) near the previously suggested species threshold of 95% ANI. While genome-wide ratios of nonsynonymous and synonymous nucleotide differences (dN/dS) decrease until ANI values approach ∼98%, two methods for estimating homologous recombination approached zero at ∼95% ANI, supporting breakdown of recombination due to sequence divergence as a species-forming force. We evaluated 107 genome-based metrics for their ability to distinguish species when full genomes are not recovered. Full-length 16S rRNA genes were least useful, in part because they were underrecovered from metagenomes. However, many ribosomal proteins displayed both high metagenomic recoverability and species discrimination power. Taken together, our results verify the existence of sequence-discrete microbial species in metagenome-derived genomes and highlight the usefulness of ribosomal genes for gene-level species discrimination. IMPORTANCE There is controversy about whether bacterial diversity is clustered into distinct species groups or exists as a continuum. To address this issue, we analyzed bacterial genome databases and reports from several previous large-scale environment studies and identified clear discrete groups of species-level bacterial diversity in all cases. Genetic analysis further revealed that quasi-sexual reproduction via horizontal gene transfer is likely a key evolutionary force that maintains bacterial species integrity. We next benchmarked over 100 metrics to distinguish these bacterial species from each other and identified several genes encoding ribosomal proteins with high species discrimination power. Overall, the results from this study provide best practices for bacterial species delineation based on genome content and insight into the nature of bacterial species population genetics.

scholarly journals Bactopia: a flexible pipeline for complete analysis of bacterial genomes

2020 ◽  
Author(s):  
Robert A. Petit ◽  
Timothy D. Read
Keyword(s):  
Standard Procedure ◽  
Bacterial Species ◽  
Bacterial Genome ◽  
Complete Analysis ◽  
Comparative Genomic ◽  
Bacterial Genomes ◽  
Analysis Pipeline ◽  
Genomic Analyses ◽  
Conserved Genes ◽  
Downstream Analysis

AbstractSequencing of bacterial genomes using Illumina technology has become such a standard procedure that often data are generated faster than can be conveniently analyzed. We created a new series of pipelines called Bactopia, built using Nextflow workflow software, to provide efficient comparative genomic analyses for bacterial species or genera. Bactopia consists of a dataset setup step (Bactopia Datasets; BaDs) where a series of customizable datasets are created for the species of interest; the Bactopia Analysis Pipeline (BaAP), which performs quality control, genome assembly and several other functions based on the available datasets and outputs the processed data to a structured directory format; and a series of Bactopia Tools (BaTs) that perform specific post-processing on some or all of the processed data. BaTs include pan-genome analysis, computing average nucleotide identity between samples, extracting and profiling the 16S genes and taxonomic classification using highly conserved genes. It is expected that the number of BaTs will increase to fill specific applications in the future. As a demonstration, we performed an analysis of 1,664 public Lactobacillus genomes, focusing on L. crispatus, a species that is a common part of the human vaginal microbiome. Bactopia is an open source system that can scale from projects as small as one bacterial genome to thousands that allows for great flexibility in choosing comparison datasets and options for downstream analysis. Bactopia code can be accessed at https://www.github.com/bactopia/bactopia.

scholarly journals A Universal, Genomewide GuideFinder for CRISPR/Cas9 Targeting in Microbial Genomes

mSphere ◽  
2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Michelle Spoto ◽  
Changhui Guan ◽  
Elizabeth Fleming ◽  
Julia Oh
Keyword(s):  
Gene Function ◽  
Large Scale ◽  
Essential Gene ◽  
Bacterial Species ◽  
Bacterial Genome ◽  
Model Organisms ◽  
Design Parameters ◽  
Bacterial Genomes ◽  
Wide Range ◽  
User Friendly

ABSTRACT The CRISPR/Cas system has significant potential to facilitate gene editing in a variety of bacterial species. CRISPR interference (CRISPRi) and CRISPR activation (CRISPRa) represent modifications of the CRISPR/Cas9 system utilizing a catalytically inactive Cas9 protein for transcription repression and activation, respectively. While CRISPRi and CRISPRa have tremendous potential to systematically investigate gene function in bacteria, few programs are specifically tailored to identify guides in draft bacterial genomes genomewide. Furthermore, few programs offer open-source code with flexible design parameters for bacterial targeting. To address these limitations, we created GuideFinder, a customizable, user-friendly program that can design guides for any annotated bacterial genome. GuideFinder designs guides from NGG protospacer-adjacent motif (PAM) sites for any number of genes by the use of an annotated genome and FASTA file input by the user. Guides are filtered according to user-defined design parameters and removed if they contain any off-target matches. Iteration with lowered parameter thresholds allows the program to design guides for genes that did not produce guides with the more stringent parameters, one of several features unique to GuideFinder. GuideFinder can also identify paired guides for targeting multiplicity, whose validity we tested experimentally. GuideFinder has been tested on a variety of diverse bacterial genomes, finding guides for 95% of genes on average. Moreover, guides designed by the program are functionally useful—focusing on CRISPRi as a potential application—as demonstrated by essential gene knockdown in two staphylococcal species. Through the large-scale generation of guides, this open-access software will improve accessibility to CRISPR/Cas studies of a variety of bacterial species. IMPORTANCE With the explosion in our understanding of human and environmental microbial diversity, corresponding efforts to understand gene function in these organisms are strongly needed. CRISPR/Cas9 technology has revolutionized interrogation of gene function in a wide variety of model organisms. Efficient CRISPR guide design is required for systematic gene targeting. However, existing tools are not adapted for the broad needs of microbial targeting, which include extraordinary species and subspecies genetic diversity, the overwhelming majority of which is characterized by draft genomes. In addition, flexibility in guide design parameters is important to consider the wide range of factors that can affect guide efficacy, many of which can be species and strain specific. We designed GuideFinder, a customizable, user-friendly program that addresses the limitations of existing software and that can design guides for any annotated bacterial genome with numerous features that facilitate guide design in a wide variety of microorganisms.

scholarly journals Molecular insights into the genome dynamics and interactions between core and acquired genomes ofVibrio cholerae

2020 ◽  
Vol 117 (38) ◽  
pp. 23762-23773
Author(s):  
Archana Pant ◽  
Satyabrata Bag ◽  
Bipasa Saha ◽  
Jyoti Verma ◽  
Pawan Kumar ◽  
...  
Keyword(s):  
Bacterial Species ◽  
Bacterial Genome ◽  
Genomic Islands ◽  
Host Bacterium ◽  
Metabolic Functions ◽  
Bipartite Genome ◽  
Ctx Prophage ◽  
Integrative Conjugative Elements

Bacterial species are hosts to horizontally acquired mobile genetic elements (MGEs), which encode virulence, toxin, antimicrobial resistance, and other metabolic functions. The bipartite genome ofVibrio choleraeharbors sporadic and conserved MGEs that contribute in the disease development and survival of the pathogens. For a comprehensive understanding of dynamics of MGEs in the bacterial genome, we engineered the genome ofV. choleraeand examined in vitro and in vivo stability of genomic islands (GIs), integrative conjugative elements (ICEs), and prophages. Recombinant vectors carrying the integration module of these GIs, ICE and CTXΦ, helped us to understand the efficiency of integrations of MGEs in theV. choleraechromosome. We have deleted more than 250 acquired genes from 6 different loci in theV. choleraechromosome and showed contribution of CTX prophage in the essentiality of SOS response master regulator LexA, which is otherwise not essential for viability in other bacteria, includingEscherichia coli. In addition, we observed that the core genome-encoded RecA helps CTXΦ to bypassV. choleraeimmunity and allow it to replicate in the host bacterium in the presence of similar prophage in the chromosome. Finally, our proteomics analysis reveals the importance of MGEs in modulating the levels of cellular proteome. This study engineered the genome ofV. choleraeto remove all of the GIs, ICEs, and prophages and revealed important interactions between core and acquired genomes.

scholarly journals Novel metrics for quantifying bacterial genome composition skews

2017 ◽  
Author(s):  
Lena M. Joesch-Cohen ◽  
Max Robinson ◽  
Neda Jabbari ◽  
Christopher Lausted ◽  
Gustavo Glusman
Keyword(s):  
Gene Annotation ◽  
Bacterial Species ◽  
Bacterial Genome ◽  
Gc Content ◽  
Bacterial Genomes ◽  
Genome Composition ◽  
Single Genome ◽  
A Genome ◽  
Dna Strands ◽  
Interactive Visualizations

AbstractBackgroundBacterial genomes have characteristic compositional skews, which are differences in nucleotide frequency between the leading and lagging DNA strands across a segment of a genome. It is thought that these strand asymmetries arise as a result of mutational biases and selective constraints, particularly for energy efficiency. Analysis of compositional skews in a diverse set of bacteria provides a comparative context in which mutational and selective environmental constraints can be studied. These analyses typically require finished and well-annotated genomic sequences.ResultsWe present three novel metrics for examining genome composition skews; all three metrics can be computed for unfinished or partially-annotated genomes. The first two metrics, (dot-skew and cross-skew) depend on sequence and gene annotation of a single genome, while the third metric (residual skew) highlights unusual genomes by subtracting a GC content-based model of a library of genome sequences. We applied these metrics to all 7738 available bacterial genomes, including partial drafts, and identified outlier species. A number of these outliers (i.e., Borrelia, Ehrlichia, Kinetoplastibacterium, and Phytoplasma) display similar skew patterns despite only distant phylogenetic relationship. While unrelated, some of the outlier bacterial species share lifestyle characteristics, in particular intracellularity and biosynthetic dependence on their hosts.ConclusionsOur novel metrics appear to reflect the effects of biosynthetic constraints and adaptations to life within one or more hosts on genome composition. We provide results for each analyzed genome, software and interactive visualizations at http://db.systemsbiology.net/gestalt/skew_metrics.

scholarly journals The extent of carbapenemase-encoding genes in public genome sequences

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11000
Author(s):  
Ingmar Janse ◽  
Rick Beeloo ◽  
Arno Swart ◽  
Michael Visser ◽  
Leo Schouls ◽  
...  
Keyword(s):  
Resistance Genes ◽  
Host Species ◽  
Bacterial Species ◽  
Antibiotic Resistance Gene ◽  
Bacterial Genome ◽  
Companion Animals ◽  
Health Concern ◽  
Genome Sequences ◽  
Genetic Elements ◽  
Encoding Genes

Genome sequences provide information on the genetic elements present in an organism, and currently there are databases containing hundreds of thousands of bacterial genome sequences. These repositories allow for mining patterns concerning antibiotic resistance gene occurrence in both pathogenic and non-pathogenic bacteria in e.g. natural or animal environments, and link these to relevant metadata such as bacterial host species, country and year of isolation, and co-occurrence with other resistance genes. In addition, the advances in the prediction of mobile genetic elements, and discerning chromosomal from plasmid DNA, broadens our view on the mechanism mediating dissemination. In this study we utilize the vast amount of data in the public database PATRIC to investigate the dissemination of carbapenemase-encoding genes (CEGs), the emergence and spread of which is considered a grave public health concern. Based on publicly available genome sequences from PATRIC and manually curated CEG sequences from the beta lactam database, we found 7,964 bacterial genomes, belonging to at least 70 distinct species, that carry in total 9,892 CEGs, amongst which blaNDM, blaOXA, blaVIM, blaIMP and blaKPC. We were able to distinguish between chromosomally located resistance genes (4,137; 42%) and plasmid-located resistance genes (5,753; 58%). We found that a large proportion of the identified CEGs were identical, i.e. displayed 100% nucleotide similarity in multiple bacterial species (8,361 out of 9,892 genes; 85%). For example, the New Delhi metallo-beta-lactamase NDM-1 was found in 42 distinct bacterial species, and present in seven different environments. Our data show the extent of carbapenem-resistance far beyond the canonical species Acetinobacter baumannii, Klebsiella pneumoniae or Pseudomonas aeruginosa. These types of data complement previous systematic reviews, in which carbapenem-resistant Enterobacteriaceae were found in wildlife, livestock and companion animals. Considering the widespread distribution of CEGs, we see a need for comprehensive surveillance and transmission studies covering more host species and environments, akin to previous extensive surveys that focused on extended spectrum beta-lactamases. This may help to fully appreciate the spread of CEGs and improve the understanding of mechanisms underlying transmission, which could lead to interventions minimizing transmission to humans.

scholarly journals Characterization of N-Linked Protein Glycosylation in Helicobacter pullorum

2010 ◽  
Vol 192 (19) ◽  
pp. 5228-5236 ◽  
Author(s):  
Adrian J. Jervis ◽  
Rebecca Langdon ◽  
Paul Hitchen ◽  
Andrew J. Lawson ◽  
Alison Wood ◽  
...  
Keyword(s):  
Campylobacter Jejuni ◽  
Sequence Data ◽  
Bacterial Species ◽  
Laser Desorption ◽  
Maldi Mass Spectrometry ◽  
Protein Glycosylation ◽  
Laser Desorption Ionization ◽  
Key Enzyme

ABSTRACT The first bacterial N-linked glycosylation system was discovered in Campylobacter jejuni, and the key enzyme involved in the coupling of glycan to asparagine residues within the acceptor sequon of the glycoprotein is the oligosaccharyltransferase PglB. Emerging genome sequence data have revealed that pglB orthologues are present in a subset of species from the Deltaproteobacteria and Epsilonproteobacteria, including three Helicobacter species: H. pullorum, H. canadensis, and H. winghamensis. In contrast to C. jejuni, in which a single pglB gene is located within a larger gene cluster encoding the enzymes required for the biosynthesis of the N-linked glycan, these Helicobacter species contain two unrelated pglB genes (pglB1 and pglB2), neither of which is located within a larger locus involved in protein glycosylation. In complementation experiments, the H. pullorum PglB1 protein, but not PglB2, was able to transfer C. jejuni N-linked glycan onto an acceptor protein in Escherichia coli. Analysis of the characterized C. jejuni N-glycosylation system with an in vitro oligosaccharyltransferase assay followed by matrix-assisted laser desorption ionization (MALDI) mass spectrometry demonstrated the utility of this approach, and when applied to H. pullorum, PglB1-dependent N glycosylation with a linear pentasaccharide was observed. This reaction required an acidic residue at the −2 position of the N-glycosylation sequon, as for C. jejuni. Attempted insertional knockout mutagenesis of the H. pullorum pglB2 gene was unsuccessful, suggesting that it is essential. These first data on N-linked glycosylation in a second bacterial species demonstrate the similarities to, and fundamental differences from, the well-studied C. jejuni system.

scholarly journals Bactopia: a Flexible Pipeline for Complete Analysis of Bacterial Genomes

mSystems ◽  
2020 ◽  
Vol 5 (4) ◽  
Author(s):  
Robert A. Petit ◽  
Timothy D. Read
Keyword(s):  
Open Source ◽  
Genome Analysis ◽  
Bacterial Species ◽  
Bacterial Genome ◽  
Complete Analysis ◽  
Comparative Genomic ◽  
Data Sets ◽  
Bacterial Genomes ◽  
Data Set ◽  
Content Type

ABSTRACT Sequencing of bacterial genomes using Illumina technology has become such a standard procedure that often data are generated faster than can be conveniently analyzed. We created a new series of pipelines called Bactopia, built using Nextflow workflow software, to provide efficient comparative genomic analyses for bacterial species or genera. Bactopia consists of a data set setup step (Bactopia Data Sets [BaDs]), which creates a series of customizable data sets for the species of interest, the Bactopia Analysis Pipeline (BaAP), which performs quality control, genome assembly, and several other functions based on the available data sets and outputs the processed data to a structured directory format, and a series of Bactopia Tools (BaTs) that perform specific postprocessing on some or all of the processed data. BaTs include pan-genome analysis, computing average nucleotide identity between samples, extracting and profiling the 16S genes, and taxonomic classification using highly conserved genes. It is expected that the number of BaTs will increase to fill specific applications in the future. As a demonstration, we performed an analysis of 1,664 public Lactobacillus genomes, focusing on Lactobacillus crispatus, a species that is a common part of the human vaginal microbiome. Bactopia is an open source system that can scale from projects as small as one bacterial genome to ones including thousands of genomes and that allows for great flexibility in choosing comparison data sets and options for downstream analysis. Bactopia code can be accessed at https://www.github.com/bactopia/bactopia. IMPORTANCE It is now relatively easy to obtain a high-quality draft genome sequence of a bacterium, but bioinformatic analysis requires organization and optimization of multiple open source software tools. We present Bactopia, a pipeline for bacterial genome analysis, as an option for processing bacterial genome data. Bactopia also automates downloading of data from multiple public sources and species-specific customization. Because the pipeline is written in the Nextflow language, analyses can be scaled from individual genomes on a local computer to thousands of genomes using cloud resources. As a usage example, we processed 1,664 Lactobacillus genomes from public sources and used comparative analysis workflows (Bactopia Tools) to identify and analyze members of the L. crispatus species.

scholarly journals Tracking the Taxonomy of the GenusBifidobacteriumBased on a Phylogenomic Approach

2017 ◽  
Vol 84 (4) ◽  
Author(s):  
Gabriele Andrea Lugli ◽  
Christian Milani ◽  
Sabrina Duranti ◽  
Leonardo Mancabelli ◽  
Marta Mangifesta ◽  
...  
Keyword(s):  
New Technologies ◽  
Bacterial Species ◽  
Bacterial Genome ◽  
Bacterial Taxonomy ◽  
Genome Sequences ◽  
Content Type ◽  
Complete Bacterial Genome ◽  
Novel Taxa

ABSTRACTFor decades, bacterial taxonomy has been based onin vitromolecular biology techniques and comparison of molecular marker sequences to measure the degree of genetic similarity and deduce phylogenetic relatedness of novel bacterial species to reference microbial taxa. Due to the advent of the genomic era, access to complete bacterial genome contents has become easier, thereby presenting the opportunity to precisely investigate the overall genetic diversity of microorganisms. Here, we describe a high-accuracy phylogenomic approach to assess the taxonomy of members of the genusBifidobacteriumand identify apparent misclassifications in current bifidobacterial taxonomy. The developed method was validated by the classification of seven novel taxa belonging to the genusBifidobacteriumby employing their overall genetic content. The results of this study demonstrate the potential of this whole-genome approach to become the gold standard for phylogenomics-based taxonomic classification of bacteria.IMPORTANCENowadays, next-generation sequencing has given access to genome sequences of the currently known bacterial taxa. The public databases constructed by means of these new technologies allowed comparison of genome sequences between microorganisms, providing information to perform genomic, phylogenomic, and evolutionary analyses. In order to avoid misclassifications in the taxonomy of novel bacterial isolates, new (bifido)bacterial taxons should be validated with a phylogenomic assessment like the approach presented here.

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