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At least 73 records · Page 4Linked to original sources
PubMed2005

Genomics of clostridial pathogens: implication of extrachromosomal elements in pathogenicity.

The recently decoded genomes of the major clostridial toxin-producing pathogens Clostridium perfringens, Clostridium tetani, Clostridium botulinum and Clostridium difficile have provided a huge amount of new sequence data. Recent studies have focused on the identification and investigation of pathogenic determinants and the regulatory events governing their expression. The sequence data revealed also the genomic background of virulence genes, as well as the contribution of extrachromosomal elements to a pathogenic phenotype. This has generated new insights in clostridial pathogenesis - and will continue to do so in the future - and has deepened our understanding of the anaerobic lifestyle of clostridial species.

Clostridioides difficile↗
PubMed2025

Bayesian Inference of Pathogen Phylogeography using the Structured Coalescent Model.

Over the past decade, pathogen genome sequencing has become well established as a powerful approach to study infectious disease epidemiology. In particular, when multiple genomes are available from several geographical locations, comparing them is informative about the relative size of the local pathogen populations as well as past migration rates and events between locations. The structured coalescent model has a long history of being used as the underlying process for such phylogeographic analysis. However, the computational cost of using this model does not scale well to the large number of genomes frequently analysed in pathogen genomic epidemiology studies. Several approximations of the structured coalescent model have been proposed, but their effects are difficult to predict. Here we show how the exact structured coalescent model can be used to analyse a precomputed dated phylogeny, in order to perform Bayesian inference on the past migration history, the effective population sizes in each location, and the directed migration rates from any location to another. We describe an efficient reversible jump Markov Chain Monte Carlo scheme which is implemented in a new R package StructCoalescent. We use simulations to demonstrate the scalability and correctness of our method and to compare it with existing software. We also applied our new method to several state-of-the-art datasets on the population structure of real pathogens to showcase the relevance of our method to current data scales and research questions.

Bayes Theorem↗
PubMed2006

Genomic island identification in Vibrio vulnificus reveals significant genome plasticity in this human pathogen.

UNLABELLED: Genomic islands (GIs) are large chromosomal regions present in a subset of bacterial strains that increase the fitness of the organism under specific conditions. We compared the complete genome sequences of two Vibrio vulnificus strains YJ016 and CMCP6 and identified 14 regions (ranging in size from 14 to 117 kb), which had the characteristics of GIs. Bioinformatic analysis of these 14 GI regions identified the presence of phage-like integrase genes, aberrant GC content and genome signature (dinucleotide frequency) within each GI compared with the core genome indicating that these regions were acquired from an anomalous source. We examined the distribution of the nine GIs from strain YJ016 among 27 V. vulnificus isolates and found that most GIs were absent from the majority of these isolates. The chromosomal insertion sites of three GIs were adjacent to tRNA sites, which contained novel horizontally acquired DNA in all six available sequenced Vibrionaceae genomes. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Adaptation, Physiological↗
PubMed2006

Genome characterization, analysis of virulence and transformation of Microbacterium nematophilum, a coryneform pathogen of the nematode Caenorhabditis elegans.

A coryneform bacterium designated Microbacterium nematophilum has previously been reported to act as a pathogen for Caenorhabditis elegans. This bacterium is able to colonize the rectum of infected worms and cause localized swelling, constipation and slowed growth. Additional isolates and analysis of this bacterium are described here. Tests of pathogenicity on other Caenorhabditis nematodes show that M. nematophilum infection is lethal to most species in the genus, in contrast to its relatively mild effects on C. elegans. The size and geometry of the pathogen genome have been determined as a closed circular molecule of 2.85 Mb with high G+C content. Bacteria also harbor a 55 kb plasmid, pMN1, which is largely composed of a lysogenic bacteriophage genome. Mutagenesis experiments have yielded stable avirulent mutants of M. nematophilum. As a first step towards molecular genetic analysis, methods for low-efficiency transformation of M. nematophilum have been developed.

Actinomycetales↗
PubMed2004

Extensive genomic diversity in pathogenic Escherichia coli and Shigella Strains revealed by comparative genomic hybridization microarray.

Escherichia coli, including the closely related genus Shigella, is a highly diverse species in terms of genome structure. Comparative genomic hybridization (CGH) microarray analysis was used to compare the gene content of E. coli K-12 with the gene contents of pathogenic strains. Missing genes in a pathogen were detected on a microarray slide spotted with 4,071 open reading frames (ORFs) of W3110, a commonly used wild-type K-12 strain. For 22 strains subjected to the CGH microarray analyses 1,424 ORFs were found to be absent in at least one strain. The common backbone of the E. coli genome was estimated to contain about 2,800 ORFs. The mosaic distribution of absent regions indicated that the genomes of pathogenic strains were highly diversified because of insertions and deletions. Prophages, cell envelope genes, transporter genes, and regulator genes in the K-12 genome often were not present in pathogens. The gene contents of the strains tested were recognized as a matrix for a neighbor-joining analysis. The phylogenic tree obtained was consistent with the results of previous studies. However, unique relationships between enteroinvasive strains and Shigella, uropathogenic, and some enteropathogenic strains were suggested by the results of this study. The data demonstrated that the CGH microarray technique is useful not only for genomic comparisons but also for phylogenic analysis of E. coli at the strain level.

Bacterial Proteins↗
PubMed2005

Insights into genome plasticity and pathogenicity of the plant pathogenic bacterium Xanthomonas campestris pv. vesicatoria revealed by the complete genome sequence.

The gram-negative plant-pathogenic bacterium Xanthomonas campestris pv. vesicatoria is the causative agent of bacterial spot disease in pepper and tomato plants, which leads to economically important yield losses. This pathosystem has become a well-established model for studying bacterial infection strategies. Here, we present the whole-genome sequence of the pepper-pathogenic Xanthomonas campestris pv. vesicatoria strain 85-10, which comprises a 5.17-Mb circular chromosome and four plasmids. The genome has a high G+C content (64.75%) and signatures of extensive genome plasticity. Whole-genome comparisons revealed a gene order similar to both Xanthomonas axonopodis pv. citri and Xanthomonas campestris pv. campestris and a structure completely different from Xanthomonas oryzae pv. oryzae. A total of 548 coding sequences (12.2%) are unique to X. campestris pv. vesicatoria. In addition to a type III secretion system, which is essential for pathogenicity, the genome of strain 85-10 encodes all other types of protein secretion systems described so far in gram-negative bacteria. Remarkably, one of the putative type IV secretion systems encoded on the largest plasmid is similar to the Icm/Dot systems of the human pathogens Legionella pneumophila and Coxiella burnetii. Comparisons with other completely sequenced plant pathogens predicted six novel type III effector proteins and several other virulence factors, including adhesins, cell wall-degrading enzymes, and extracellular polysaccharides.

Adhesins, Bacterial↗
PubMed2003

Genome sequencing and comparative genomics of tropical disease pathogens.

The sequencing of eukaryotic genomes has lagged behind sequencing of organisms in the other domains of life, archae and bacteria, primarily due to their greater size and complexity. With recent advances in high-throughput technologies such as robotics and improved computational resources, the number of eukaryotic genome sequencing projects has increased significantly. Among these are a number of sequencing projects of tropical pathogens of medical and veterinary importance, many of which are responsible for causing widespread morbidity and mortality in peoples of developing countries. Uncovering the complete gene complement of these organisms is proving to be of immense value in the development of novel methods of parasite control, such as antiparasitic drugs and vaccines, as well as the development of new diagnostic tools. Combining pathogen genome sequences with the host and vector genome sequences is promising to be a robust method for the identification of host-pathogen interactions. Finally, comparative sequencing of related species, especially of organisms used as model systems in the study of the disease, is beginning to realize its potential in the identification of genes, and the evolutionary forces that shape the genes, that are involved in evasion of the host immune response.

Animals↗
PubMed2025

Incorporating Epidemiological Data into the Genomic Analysis of Partially Sampled Infectious Disease Outbreaks.

Pathogen genomic data are increasingly being used to investigate transmission dynamics in infectious disease outbreaks. Combining genomic data with epidemiological data should substantially increase our understanding of outbreaks, but this is highly challenging when the outbreak under study is only partially sampled, so that both genomic and epidemiological data are missing for intermediate links in the transmission chains. Here, we present a new dynamic programming algorithm to perform this task efficiently. We implement this methodology into the well-established TransPhylo framework to reconstruct partially sampled outbreaks using a combination of genomic and epidemiological data. We use simulated datasets to show that including epidemiological data can improve the accuracy of the inferred transmission links compared with inference based on genomic data only. This also allows us to estimate parameters specific to the epidemiological data (such as transmission rates between particular groups), which would otherwise not be possible. We then apply these methods to two real-world examples. First, we use genomic data from an outbreak of tuberculosis in Argentina, for which data was also available on the HIV status of sampled individuals, in order to investigate the role of HIV coinfection in the spread of this tuberculosis outbreak. Second, we use genomic and geographical data from the 2003 epidemic of avian influenza H7N7 in the Netherlands to reconstruct its spatial epidemiology. In both cases, we show that incorporating epidemiological data into the genomic analysis allows us to investigate the role of epidemiological properties in the spread of infectious diseases.

Humans↗
PubMed2000

[Genome analysis of pathogenic bacteria--a review].

The whole genome information on pathogenic bacteria opened a new era of medical microbiology. Bacteria have a variety of strategies to survive in human body against host defense. Bacteria colonizing on the mucous cell surface and proliferate extracellularly have developed a number of paralogs of surface proteins for antigenic variation, while bacteria which proliferate intracellularly have acquired genes for invasion and anti-active oxygen. The obligate intracellular parasites, Rickettsiae and Chlamydiae, have developed a distinct energy metabolism depending on the intracellular localization; Rickettsia prowazekii has TCA cycle and oxidative phosphorylation to proliferate in the cytoplasm, while Chlamydiae have a glycolytic pathway and substrate-level phosphorylation to multiply within an organella called inclusion bodies.

Antigenic Variation↗
PubMed2005

Screening the whole genome of a pathogen in vivo for individual protective antigens.

We report the results of a general protocol that was used to screen the whole genome of Chlamydophila abortus, type strain B577 (formerly Chlamydia psittaci strain B577), in a mouse pneumonia model. Genetic immunization was used to functionally test the genes of C. abortus as vaccines in a mouse challenge system. Nine gene fragments were isolated that conferred protection, with five protecting as effectively as the live-vaccine positive control. Bioinformatics approaches were unable to reconstruct isolation of these antigens. These results suggest that pathogen genomes can be functionally screened for vaccine candidate antigens in a mouse model to reveal new classes of vaccine candidate antigens that may have therapeutic efficacy across host species, disease manifestations, and delivery platforms.

Animals↗
PubMed2002

Sample sequencing of a selected region of the genome of Erwinia carotovora subsp. atroseptica reveals candidate phytopathogenicity genes and allows comparison with Escherichia coli.

Genome sequencing is making a profound impact on microbiology. Currently, however, only one plant pathogen genome sequence is publicly available and no genome-sequencing project has been initiated for any species of the genus Erwinia, which includes several important plant pathogens. This paper describes a targeted sample sequencing approach to study the genome of Erwinia carotovora subsp. atroseptica (Eca), a major soft-rot pathogen of potato. A large insert DNA (approx. 115 kb) library of Eca was constructed using a bacterial artificial chromosome (BAC) vector. Hybridization and end-sequence data revealed two overlapping BAC clones that span an entire hrp gene cluster. Random subcloning and one-fold sequence coverage (>200 kb) across these BACs identified 25 (89%) of 28 hrp genes predicted from the orthologous hrp cluster of Erwinia amylovora. Regions flanking the hrp cluster contained orthologues of known or putative pathogenicity operons from other Erwinia species, including dspEF (E. amylovora), hecAB and pecSM (E. chrysanthemi), sequences similar to genes from the plant pathogen Xylella fastidiosa, including haemagglutinin-like genes, and sequences similar to genes involved in rhizobacterium-plant interactions. Approximately 10% of the sequences showed strongest nucleotide similarities to genes in the closely related model bacterium and animal pathogen Escherichia coli. However, the positions of some of these genes were different in the two genomes. Approximately 30% of sequences showed no significant similarity to any database entries. A physical map was made across the genomic region spanning the hrp cluster by hybridization to the BAC library and to digested BAC clones, and by PCR between sequence contigs. A multiple genome coverage BAC library and one-fold sample sequencing are an effective combination for extracting useful information from important regions of the Eca genome, providing a wealth of candidate novel pathogenicity genes for functional analyses. Other genomic regions could be similarly targeted.

Chromosomes, Artificial, Bacterial↗
PubMed2004

Chips with everything: DNA microarrays in infectious diseases.

Two developments are set to revolutionise research in and clinical management of infectious diseases. First, the completion of the human genome project together with the sequencing of many pathogen genomes, and second, the development of microarray technology. This review explains the principles underlying DNA microarrays and highlights the uses to which they are being put to investigate the molecular basis of infectious diseases. Pathogen studies enable identification of both known and novel organisms, understanding of genetic evolution, and investigation of determinants of pathogenicity. Host studies show the complexities of development and activation of both innate and adaptive immunity. Host-pathogen studies allow global analysis of gene expression during pathogenesis. Microarray technology will accelerate our understanding of the complex genetic processes underlying the interaction between microorganisms and the host, with consequent improvements in the diagnosis, treatment, and prevention of infectious diseases.

Animals↗
PubMed2026

Genomic Medicine Sweden: Advancing precision medicine at the national level.

High-throughput sequencing has transformed clinical diagnostics of rare diseases (RD), cancer and infectious diseases by enabling the identification of disease-causing genetic alterations and facilitating individualised treatment and care. In response to these advances, Genomic Medicine Sweden (GMS) was established in 2017 as a national collaborative effort to accelerate implementation of genomics-based precision medicine within Sweden's regionally organized, publicly funded healthcare system. GMS brings together the seven university healthcare regions and their associated medical faculties, in collaboration with healthcare regions across Sweden, Science for Life Laboratory, patient organizations, industry and governmental agencies. Activities are coordinated through national disease-specific expert groups, supported by cross-cutting functions in bioinformatics, health economics, ethics, education and patient engagement. At the operational level, seven Genomic Medicine Centres, embedded at university hospitals, develop and deliver harmonised genomic diagnostics nationwide. The National Genomics Platform provides secure infrastructure for large-scale data storage, analysis, and national and international data sharing. Following initial project-based funding, GMS now receives long-term governmental support. This review describes the national implementation of genomic-based precision diagnostics, discusses challenges and lessons learnt, and highlights key milestones across disease areas, including whole-genome sequencing in RD and paediatric cancer, comprehensive genomic profiling of haematological malignancies and solid tumours, pathogen genomics in microbiology, pharmacogenomic testing and emerging applications of polygenic risk scores in complex diseases. Collectively, these efforts have contributed to more than 500,000 genomic tests being performed within Swedish healthcare between 2017 and 2025. Finally, we outline future diagnostic needs and priority areas to ensure sustainable, scalable and equitable access to precision medicine.

Precision Medicine↗
PubMed2002

Genomic mining type III secretion system effectors in Pseudomonas syringae yields new picks for all TTSS prospectors.

Many bacterial pathogens of plants and animals use a type III secretion system (TTSS) to deliver virulence effector proteins into host cells. Because effectors are heterogeneous in sequence and function, there has not been a systematic way to identify the genes encoding them in pathogen genomes, and our current inventories are probably incomplete. A pre-closure draft sequence of Pseudomonas syringae pv. tomato DC3000, a pathogen of tomato and Arabidopsis, has recently supported five complementary studies which, collectively, identify 36 TTSS-secreted proteins and many more candidate effectors in this strain. These studies demonstrate the advantages of combining experimental and computational approaches, and they yield new insights into TTSS effectors and virulence regulation in P. syringae, potential effector targeting signals in all TTSS-dependent pathogens, and strategies for finding TTSS effectors in other bacteria that have sequenced genomes.

Arabidopsis↗
PubMed2004

Comparison of the genome of the oral pathogen Treponema denticola with other spirochete genomes.

We present the complete 2,843,201-bp genome sequence of Treponema denticola (ATCC 35405) an oral spirochete associated with periodontal disease. Analysis of the T. denticola genome reveals factors mediating coaggregation, cell signaling, stress protection, and other competitive and cooperative measures, consistent with its pathogenic nature and lifestyle within the mixed-species environment of subgingival dental plaque. Comparisons with previously sequenced spirochete genomes revealed specific factors contributing to differences and similarities in spirochete physiology as well as pathogenic potential. The T. denticola genome is considerably larger in size than the genome of the related syphilis-causing spirochete Treponema pallidum. The differences in gene content appear to be attributable to a combination of three phenomena: genome reduction, lineage-specific expansions, and horizontal gene transfer. Genes lost due to reductive evolution appear to be largely involved in metabolism and transport, whereas some of the genes that have arisen due to lineage-specific expansions are implicated in various pathogenic interactions, and genes acquired via horizontal gene transfer are largely phage-related or of unknown function.

ATP-Binding Cassette Transporters↗
PubMed2025

Accounting for contact tracing in epidemiological birth-death models.

Phylodynamics bridges the gap between classical epidemiology and pathogen genome sequence data by estimating epidemiological parameters from time-scaled pathogen phylogenetic trees. The models used in phylodynamics typically assume that the sampling procedure is independent between infected individuals. However, this assumption does not hold for many epidemics, in particular for such sexually transmitted infections as HIV-1, for which contact tracing schemes are included in health policies of many countries. We extended phylodynamic multi-type birth-death (MTBD) models with contact tracing (CT), and developed a simulator to generate trees under MTBD and MTBD-CT models. We proposed a non-parametric test for detecting contact tracing in pathogen phylogenetic trees. Its application to simulated data showed that it is both highly specific and sensitive. For the simplest representative of the MTBD-CT family, the BD-CT(1) model, where only the last contact can be notified, we solved the differential equations and proposed a closed form solution for the likelihood function. We implemented a maximum-likelihood program, which estimates the BD-CT(1) model parameters and their confidence intervals from phylogenetic trees. It performed accurate parameter inference on BD and BD-CT(1) simulated data, and detected contact tracing in HIV-1 B epidemics in Zurich and the UK. Importantly, we showed that not accounting for contact tracing when it is present, leads to bias in parameter estimation with the BD model (overestimation of the becoming-non-infectious rate). This bias is also present, but greatly reduced, when the BD-CT(1) model is used on data where multiple contacts can be notified. Our CT test, MTBD-CT tree simulator and BD-CT(1) parameter estimator are freely available at GitHub (evolbioinfo/treesimulator and evolbioinfo/bdct).

Contact Tracing↗
PubMed2004

The changing field of vaccine development in the genomics era.

An improved understanding of the human immune system and the genetic make-up of pathogens, together with advances in instrumentation and bioinformatics, have provided new insights into the variation of immune responses to vaccines within the human population. Pathogen variation and the diversity of the immune system components within the human population make the design of universal vaccines difficult. New subunit vaccines that target immunologically similar subgroups of the human population and representative pathogen variants are emerging from research that combines immunomics, pathogen genomics, and high-throughput instrumentation.

Genome, Human↗