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DNA microarray-based genome comparison of a pathogenic and a nonpathogenic strain of Xylella fastidiosa delineates genes important for bacterial virulence.

Xylella fastidiosa is a phytopathogenic bacterium that causes serious diseases in a wide range of economically important crops. Despite extensive comparative analyses of genome sequences of Xylella pathogenic strains from different plant hosts, nonpathogenic strains have not been studied. In this report, we show that X. fastidiosa strain J1a12, associated with citrus variegated chlorosis (CVC), is nonpathogenic when injected into citrus and tobacco plants. Furthermore, a DNA microarray-based comparison of J1a12 with 9a5c, a CVC strain that is highly pathogenic and had its genome completely sequenced, revealed that 14 coding sequences of strain 9a5c are absent or highly divergent in strain J1a12. Among them, we found an arginase and a fimbrial adhesin precursor of type III pilus, which were confirmed to be absent in the nonpathogenic strain by PCR and DNA sequencing. The absence of arginase can be correlated to the inability of J1a12 to multiply in host plants. This enzyme has been recently shown to act as a bacterial survival mechanism by down-regulating host nitric oxide production. The lack of the adhesin precursor gene is in accordance with the less aggregated phenotype observed for J1a12 cells growing in vitro. Thus, the absence of both genes can be associated with the failure of the J1a12 strain to establish and spread in citrus and tobacco plants. These results provide the first detailed comparison between a nonpathogenic strain and a pathogenic strain of X. fastidiosa, constituting an important step towards understanding the molecular basis of the disease.

Adhesins, Bacterial↗

Ectopic gene conversions in four Escherichia coli genomes: increased recombination in pathogenic strains.

We characterized the ectopic gene conversions in the genomes of the K-12 MG1655, O157:H7 Sakai, O157:H7 EDL933, and CFT073 strains of E coli. Compared to the three pathogenic strains, the K-12 strain has a much smaller number of gene families, its gene families contain fewer genes, and gene conversions are less frequent. Whereas the three pathogenic strains have gene conversions covering hundreds of nucleotides when their flanking regions have as little as 50% similarity, flanking region similarity of at least 94% on both sides of the converted region is required to observe conversions of more than 87 nucleotides in the K-12 strain. Recombination is therefore more frequent and requires less sequence similarity in the three pathogenic strains than in K-12. This higher recombination level might be due to mutations in some of their mismatch-repair genes. In contrast with the gene conversions present in the yeast genome, the gene conversions found in the E. coli genomes do not occur more frequently between duplicated genes that are close to one another than between duplicated genes that are far apart and are randomly distributed along the length of the genes. In E. coli, gene conversions are not more frequent near the origin of replication. However, they do occur more frequently near the terminus of replication of the Sakai genome, where multigene family members are more abundant. This suggests that, in E. coli, gene conversions occur randomly between genes located in different chromosomal locations or located on different copies of the multiple chromosomes found in E. coli cells.

Amino Acid Substitution↗

Variation in genome organization of the plant pathogenic fungus Colletotrichum lindemuthianum.

The genome structure of Colletotrichum lindemuthianum in a set of diverse isolates was investigated using a combination of physical and molecular approaches. Flow cytometric measurement of genome size revealed significant variation between strains, with the smallest genome representing 59% of the largest. Southern-blot profiles of a cloned fungal telomere revealed a total chromosome number varying from 9 to 12. Chromosome separations using pulsed-field gel electrophoresis (PFGE) showed that these chromosomes belong to two distinct size classes: a variable number of small (< 2.5 Mb) polymorphic chromosomes and a set of unresolved chromosomes larger than 7 Mb. Two dispersed repeat elements were shown to cluster on distinct polymorphic minichromosomes. Single-copy flanking sequences from these repeat-containing clones specifically marked distinct small chromosomes. These markers were absent in some strains, indicating that part of the observed variability in genome organization may be explained by the presence or absence, in a given strain, of dispensable genomic regions and/or chromosomes.

Ascomycota↗

In silico identification of potential therapeutic targets in the human pathogen Helicobacter pylori.

Availability of genome sequences of pathogens has provided a tremendous amount of information that can be useful in drug target and vaccine target identification. One of the recently adopted strategies is based on a subtractive genomics approach, in which the subtraction dataset between the host and pathogen genome provides information for a set of genes that are likely to be essential to the pathogen but absent in the host. This approach has been used successfully in recent times to identify essential genes in Pseudomonas aeruginosa. We have used the same methodology to analyse the whole genome sequence of the human gastric pathogen Helicobacter pylori. Our analysis revealed that out of the 1590 coding sequences of the pathogen, 40 represent essential genes that have no human homolog. We have further analysed these 40 genes by the protein sequence databases to list some 10 genes whose products are possibly exposed on the pathogen surface. This preliminary work reported here identifies a small subset of the Helicobacter proteome that might be investigated further for identifying potential drug and vaccine targets in this pathogen.

Anti-Bacterial Agents↗

Differences in genomic DNA sequences between pathogenic and nonpathogenic isolates of Entamoeba histolytica identified by polymerase chain reaction.

A lambda gt11 cDNA library was constructed from the poly(A)+ RNA of trophozoites of Entamoeba histolytica HM-1:IMSS strain. The library was immunologically screened with monoclonal antibody 4G6, which is specific for the 30,000-Mr antigen of pathogenic isolates. A 0.7-kb clone was isolated, and its nucleotide sequence was determined. To examine whether this gene was specific for pathogenic isolates, a polymerase chain reaction was performed by using four sets of primers and the genomic DNA of pathogenic and nonpathogenic isolates as templates. Amplified DNAs were detected not only in pathogenic isolates but also in nonpathogenic isolates. However, when sequences of amplified DNA of these isolates were compared, minor differences were observed. By considering the presence or absence of recognition sites of some endonucleases, it was possible to distinguish between the pathogenic and nonpathogenic isolates. When various isolates with different zymodemes were examined by polymerase chain reaction and enzyme digestion, the results of typing were entirely in accord with those of zymodeme analysis. These results indicate that there is dimorphism in the genomic DNA coding the 30,000-Mr antigen of E. histolytica and that the combined use of the polymerase chain reaction and enzyme digestion is a useful strategy for identification of species and determination of pathogenicity.

Amino Acid Sequence↗

Detecting anomalous gene clusters and pathogenicity islands in diverse bacterial genomes.

A gene in a genome is defined as putative alien (pA) if its codon usage difference from the average gene exceeds a high threshold and codon usage differences from ribosomal protein genes, chaperone genes and protein-synthesis-processing factors are also high. pA gene clusters in bacterial genomes are relevant for detecting genomic islands (GIs), including pathogenicity islands (PAIs). Four other analyses appropriate to this task are G+C genome variation (the standard method); genomic signature divergences (dinucleotide bias); extremes of codon bias; and anomalies of amino acid usage. For example, the cagA domain of Helicobacter pylori is highly deviant in its genome signature and codon bias from the rest of the genome. Using these methods we can detect two potential PAIs in the Neisseria meningitidis genome, which contain hemagglutinin and/or hemolysin-related genes. Additionally, G+C variation and genome signature differences of the Mycobacterium tuberculosis genome indicate two pA gene clusters.

Bacteria↗

Pathogenicity islands and the evolution of microbes.

Virulence factors of pathogenic bacteria (adhesins, toxins, invasins, protein secretion systems, iron uptake systems, and others) may be encoded by particular regions of the prokaryotic genome termed pathogenicity islands. Pathogenicity islands were first described in human pathogens of the species Escherichia coli, but have recently been found in the genomes of various pathogens of humans, animals, and plants. Pathogenicity islands comprise large genomic regions [10-200 kilobases (kb) in size] that are present on the genomes of pathogenic strains but absent from the genomes of nonpathogenic members of the same or related species. The finding that the G+C content of pathogenicity islands often differs from that of the rest of the genome, the presence of direct repeats at their ends, the association of pathogenicity islands with transfer RNA genes, the presence of integrase determinants and other mobility loci, and their genetic instability argue for the generation of pathogenicity islands by horizontal gene transfer, a process that is well known to contribute to microbial evolution. In this article we review these and other aspects of pathogenicity islands and discuss the concept that they represent a subclass of genomic islands. Genomic islands are present in the majority of genomes of pathogenic as well as nonpathogenic bacteria and may encode accessory functions which have been previously spread among bacterial populations.

Bacteria↗

Pharmacogenomics and infectious diseases: impact on drug response and applications to disease management.

The impact of pharmacogenomics on the prevention, diagnosis, and treatment of infectious diseases is discussed. The application of pharmacogenomics to infectious diseases requires consideration of the genomes of both the pathogen and the host. The pathogen's genome may be used for antigen identification, to identify infecting organisms, and to determine antimicrobial resistance. Diagnostic tool development and vaccine design can be aided by knowing which portions of a pathogen are important antigenic determinants. The unique genetic makeup of a pathogen can facilitate its identification as an augmentation to the traditional culture. Important genes conferring resistance to antibiotics can be detected, and this information can be used to choose appropriate antibiotic therapy. The genome of the host may reveal susceptibility genes and new drug targets that may be used in the treatment of infectious diseases. Thus far, polymorphisms in genes of the host immune system have been associated with susceptibility to infections and response to treatment. Examples of these findings will be described. Pharmacogenomics has the potential to revolutionize the prevention, diagnosis, and treatment of infectious diseases.

Adolescent↗

Genomic insights into preantibiotic osteomyelitis pathogens and their link to current resistant hospital strains.

OBJECTIVES: Osteomyelitis is a severe bone infection that was frequently fatal before the introduction of antibiotics and remains a significant healthcare burden today. Staphylococcus aureus is the most common cause, alongside other hospital-acquired pathogens. Despite their clinical importance, the evolutionary history of these bacteria remains poorly understood. We investigated historical osteomyelitis specimens to identify causative pathogens and characterise their genomes, virulence and antimicrobial resistance (AMR). METHODS: Seven osteomyelitis-affected bones from adults dating to 19th-20th century Germany were analysed using ancient DNA (aDNA) approaches. After sequencing and screening, candidate pathogens were prioritised based on authentic aDNA damage patterns, established association with osteomyelitis and exclusion as environmental contaminants. Identified species were characterised by phylogenetics, multilocus sequence typing and virulence/AMR profiling. RESULTS: In four patients, we detected authentic aDNA from Acinetobacter baumannii, S. aureus or Streptococcus pyogenes. Detected taxa in the remaining three patients did not fulfil the criteria for further analysis. Two patients carried A. baumannii genomes clustering closely with modern avian and freshwater isolates. Both harboured virulence genes, alongside intrinsic efflux pumps and &#x3b2;-lactamases. One patient carried an S. aureus strain belonging to the globally disseminated clonal complex 30, responsible for outbreaks since the 1950s. Molecular dating indicated that this strain diverged from the wider lineage around 1800, placing it among the earliest members of this group. It encoded multiple virulence genes, but no methicillin resistance genes. The fourth patient carried an S. pyogenes strain related to modern epidemic lineages from North America, encoding conserved virulence factors, but no AMR genes. CONCLUSIONS: These specimens provide a window into the evolution of osteomyelitis pathogens. Although modern developments such as widespread antibiotic use have intensified the global resistance crisis, our findings indicate that the genetic foundations for pathogenicity and resistance were already present more than 100 years ago.

Ancient DNA↗

Ecological fitness, genomic islands and bacterial pathogenicity. A Darwinian view of the evolution of microbes.

The compositions of bacterial genomes can be changed rapidly and dramatically through a variety of processes including horizontal gene transfer. This form of change is key to bacterial evolution, as it leads to 'evolution in quantum leaps'. Horizontal gene transfer entails the incorporation of genetic elements transferred from another organism-perhaps in an earlier generation-directly into the genome, where they form 'genomic islands', i.e. blocks of DNA with signatures of mobile genetic elements. Genomic islands whose functions increase bacterial fitness, either directly or indirectly, have most likely been positively selected and can be termed 'fitness islands'. Fitness islands can be divided into several subtypes: 'ecological islands' in environmental bacteria and 'saprophytic islands', 'symbiosis islands' or 'pathogenicity islands' (PAIs) in microorganisms that interact with living hosts. Here we discuss ways in which PAIs contribute to the pathogenic potency of bacteria, and the idea that genetic entities similar to genomic islands may also be present in the genomes of eukaryotes.

Bacteria↗

Compositional similarities between the human immunodeficiency virus and surface antigens of pathogens.

The genome of the human immunodeficiency virus (HIV) is rich in A but not U and deficient in C but not G. This asymmetric nucleotide bias is the major factor in determining the unusual composition of HIV proteins. In this report, we have identified the cellular genes in the GenBank database that are compositionally similar to HIV in order to further understand the significance of the nucleotide bias of the viral genome. A total of 101 genes in the bacterial and invertebrate subdivisions of the database were found to have a base composition that is similar to the composition of the HIV genome. The identified cellular sequences represent a discrete subset of the database since 81 of the 101 entries code for antigens from pathogens and nearly all of these organisms infect humans. The amino acid compositions of these surface antigens are also similar to the unusual composition of HIV proteins, which are deficient in proline and rich in lysine and other polar residues encoded by A-rich codons. The similarities between the HIV proteins and the immunodominant antigens from other pathogens may indicate a common pathogenic strategy for the promotion of immune dysregulation.

Animals↗

The National Microbial Pathogen Database Resource (NMPDR): a genomics platform based on subsystem annotation.

The National Microbial Pathogen Data Resource (NMPDR) (http://www.nmpdr.org) is a National Institute of Allergy and Infections Disease (NIAID)-funded Bioinformatics Resource Center that supports research in selected Category B pathogens. NMPDR contains the complete genomes of approximately 50 strains of pathogenic bacteria that are the focus of our curators, as well as >400 other genomes that provide a broad context for comparative analysis across the three phylogenetic Domains. NMPDR integrates complete, public genomes with expertly curated biological subsystems to provide the most consistent genome annotations. Subsystems are sets of functional roles related by a biologically meaningful organizing principle, which are built over large collections of genomes; they provide researchers with consistent functional assignments in a biologically structured context. Investigators can browse subsystems and reactions to develop accurate reconstructions of the metabolic networks of any sequenced organism. NMPDR provides a comprehensive bioinformatics platform, with tools and viewers for genome analysis. Results of precomputed gene clustering analyses can be retrieved in tabular or graphic format with one-click tools. NMPDR tools include Signature Genes, which finds the set of genes in common or that differentiates two groups of organisms. Essentiality data collated from genome-wide studies have been curated. Drug target identification and high-throughput, in silico, compound screening are in development.

Bacteria↗

The Wolbachia genome of Brugia malayi: endosymbiont evolution within a human pathogenic nematode.

Complete genome DNA sequence and analysis is presented for Wolbachia, the obligate alpha-proteobacterial endosymbiont required for fertility and survival of the human filarial parasitic nematode Brugia malayi. Although, quantitatively, the genome is even more degraded than those of closely related Rickettsia species, Wolbachia has retained more intact metabolic pathways. The ability to provide riboflavin, flavin adenine dinucleotide, heme, and nucleotides is likely to be Wolbachia's principal contribution to the mutualistic relationship, whereas the host nematode likely supplies amino acids required for Wolbachia growth. Genome comparison of the Wolbachia endosymbiont of B. malayi (wBm) with the Wolbachia endosymbiont of Drosophila melanogaster (wMel) shows that they share similar metabolic trends, although their genomes show a high degree of genome shuffling. In contrast to wMel, wBm contains no prophage and has a reduced level of repeated DNA. Both Wolbachia have lost a considerable number of membrane biogenesis genes that apparently make them unable to synthesize lipid A, the usual component of proteobacterial membranes. However, differences in their peptidoglycan structures may reflect the mutualistic lifestyle of wBm in contrast to the parasitic lifestyle of wMel. The smaller genome size of wBm, relative to wMel, may reflect the loss of genes required for infecting host cells and avoiding host defense systems. Analysis of this first sequenced endosymbiont genome from a filarial nematode provides insight into endosymbiont evolution and additionally provides new potential targets for elimination of cutaneous and lymphatic human filarial disease.

Animals↗

Pathogen evolution in vivo: genome dynamics of two isolates obtained 9 years apart from a duodenal ulcer patient infected with a single Helicobacter pylori strain.

The survival and microevolution of Helicobacter pylori strains in the niches of the stomach after eradication therapy have largely been unexplored. We analyzed genomic signatures for two successive isolates obtained 9 years apart from a duodenal ulcer patient who underwent eradication therapy for H. pylori. These isolates were genotyped based on 50 different parameters involving three different fingerprinting approaches and several evolutionarily significant and virulence-associated landmarks in the genome, including nine informative gene loci, the cag pathogenicity island and its right junction, members of the plasticity region cluster, and vacA and iceA alleles. Our observations reveal that the two isolates were derived from the same strain that colonized the patient for almost a decade and were almost identical. Microevolution, however, was observed in the cagA gene and its right junction, the vacA m1 allele, and a member of the plasticity region cluster (JHP926). These results suggest that H. pylori has a great ability to survive and reemerge as a microevolved strain posteradication, thereby hinting at the requirement for follow-up of patients after therapy.

Antigens, Bacterial↗

First draft genome sequence of the emerging sexually transmitted dermatophyte Trichophyton mentagrophytes genotype VII.

Trichophyton mentagrophytes ITS-genotype VII (TMVII) is a globally emerging sexually transmitted dermatophyte causing severe skin infections characterised by painful, pustular lesions on the face, public area, genitalia, and trunk. To inform the prevention efforts, we present the first draft genomes of four TMVII isolates obtained from patients in the United Kingdom diagnosed between 2021 and 2025. We performed whole-genome sequencing and phylogenetic analysis based on single-nucleotide polymorphisms. We analysed the genetic relatedness of four TMVII isolates collected from UK patients, two had travel links to Spain and the Middle East. Two further isolates, including T. mentagrophytes ITS-genotype I/II obtained from a canine infection in the United Kingdom in 2025 and Trichophyton indotineae were sequenced for contextual analysis. We confirm that the TMVII strains studied here represent a highly clonal population, distinct from both zoophilic T. mentagrophytes genotype I/II and anthropophilic T. indotineae.

Humans↗

Functional analysis of pathogenicity genes in a genomics world.

Genome-wide mutational and expression analyses have been performed in yeast and provide a model for large-scale analysis of gene function in filamentous fungi. The recent completion of the Neurospora crassa genome offers a resource for comparative analysis with plant pathogenic filamentous fungi. These advances have important implications for molecular genetic studies of pathogenicity genes.

Fungal Proteins↗

How to become a uropathogen: comparative genomic analysis of extraintestinal pathogenic Escherichia coli strains.

Uropathogenic Escherichia coli (UPEC) strain 536 (O6:K15:H31) is one of the model organisms of extraintestinal pathogenic E. coli (ExPEC). To analyze this strain's genetic basis of urovirulence, we sequenced the entire genome and compared the data with the genome sequence of UPEC strain CFT073 (O6:K2:H1) and to the available genomes of nonpathogenic E. coli strain MG1655 (K-12) and enterohemorrhagic E. coli. The genome of strain 536 is approximately 292 kb smaller than that of strain CFT073. Genomic differences between both UPEC are mainly restricted to large pathogenicity islands, parts of which are unique to strain 536 or CFT073. Genome comparison underlines that repeated insertions and deletions in certain parts of the genome contribute to genome evolution. Furthermore, 427 and 432 genes are only present in strain 536 or in both UPEC, respectively. The majority of the latter genes is encoded within smaller horizontally acquired DNA regions scattered all over the genome. Several of these genes are involved in increasing the pathogens' fitness and adaptability. Analysis of virulence-associated traits expressed in the two UPEC O6 strains, together with genome comparison, demonstrate the marked genetic and phenotypic variability among UPEC. The ability to accumulate and express a variety of virulence-associated genes distinguishes ExPEC from many commensals and forms the basis for the individual virulence potential of ExPEC. Accordingly, instead of a common virulence mechanism, different ways exist among ExPEC to cause disease.

Biological Evolution↗

Genome sequences of the honey bee pathogens Paenibacillus larvae and Ascosphaera apis.

Genome sequences offer a broad view of host-pathogen interactions at the systems biology level. With the completion of the sequence of the honey bee, interest in the relevant pathogens is heightened. Here we report the genome sequences of two of the major pathogens of honey bees, the bacterium Paenibacillus larvae (causative agent for American foulbrood disease) and the fungus Ascosphaera apis. (causative agent for chalkbrood disease). Ongoing efforts to characterize the genomes of these species can be used to understand and mitigate the effects of two important pathogens, and will provide a contrast with pathogenic, benign and freeliving relatives.

Animals↗