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Genes determining pathogenicity to pea are clustered on a supernumerary chromosome in the fungal plant pathogen Nectria haematococca.

Three genes that contribute to the ability of the fungus Nectria haematococca to cause disease on pea plants have been identified. These pea pathogenicity (PEP) genes are within 25 kb of each other and are located on a supernumerary chromosome. Altogether, the PEP gene cluster contains six transcriptional units that are expressed during infection of pea tissue. The biochemical function of only one of the genes is known with certainty. This gene, PDA1, encodes a specific cytochrome P450 that confers resistance to pisatin, an antibiotic produced by pea plants. The three new PEP genes, in addition to PDA1, can independently increase the ability of the fungus to cause lesions on pea when added to an isolate lacking the supernumerary chromosome. Based on predicted amino acid sequences, functions for two of these three genes are hypothesized. The deduced amino acid sequence of another transcribed portion of the PEP cluster, as well as four other open reading frames in the cluster, have a high degree of similarity to known fungal transposases. Several of the features of the PEP cluster -- a cluster of pathogenicity genes, the presence of transposable elements, and differences in codon usage and GC content from other portions of the genome -- are shared by pathogenicity islands in pathogenic bacteria of plants and animals.

Amino Acid Sequence↗

MITOMAP: a human mitochondrial genome database.

We have developed a comprehensive database (MITOMAP) for the human mitochondrial DNA (mtDNA), the first component of the human genome to be completely sequenced [Anderson et al. (1981) Nature 290, 457-465]. MITOMAP uses the mtDNA sequence as the unifying element for bringing together information on mitochondrial genome structure and function, pathogenic mutations and their clinical characteristics, population associated variation, and gene- gene interactions. As increasingly larger regions of the human genome are sequenced and characterized, the need for integrating such information will grow. Consequently, MITOMAP not only provides a valuable reference for the mitochondrial biologist, it may also provide a model for the development of information storage and retrieval systems for other components of the human genome.

Amino Acid Sequence↗

A physical map of the Mycoplasma genitalium genome.

We report the construction of a physical map of the genome of the human pathogen Mycoplasma genitalium through the use of pulse-field gel electrophoresis. The small size and relative simplicity of this genome permit the arrangement of restriction fragments without having to construct linking clones. The size of the genome has been calculated to be approximately 600 kb and several important genetic determinants have been assigned specific loci on the map.

Animals↗

Developing live Shigella vaccines using lambda Red recombineering.

Live attenuated Shigella vaccines have shown promise in inducing protective immune responses in human clinical trials and as carriers of heterologous antigens from other mucosal pathogens. In the past, construction of Shigella vaccine strains relied on classical allelic exchange systems to genetically engineer the bacterial genome. These systems require extensive in vitro engineering of long homologous sequences to create recombinant replication-defective plasmids or phage. Alternatively, the lambda red recombination system from bacteriophage facilitates recombination with as little as 40 bp of homologous DNA. The process, referred to as recombineering, typically uses an inducible lambda red operon on a temperature-sensitive plasmid and optimal transformation conditions to integrate linear antibiotic resistance cassettes flanked by homologous sequences into a bacterial genome. Recent advances in recombineering have enabled modification of genomic DNA from bacterial pathogens including Salmonella, Yersinia, enteropathogenic Escherichia coli, or enterohemorrhagic E. coli and Shigella. These advances in recombineering have been used to systematically delete virulence-associated genes from Shigella, creating a number of isogenic strains from multiple Shigella serotypes. These strains have been characterized for attenuation using both in vivo and in vitro assays. Based on this data, prototypic Shigella vaccine strains containing multiple deletions in virulence-associated genes have been generated.

Bacteriophage lambda↗

inGeno--an integrated genome and ortholog viewer for improved genome to genome comparisons.

BACKGROUND: Systematic genome comparisons are an important tool to reveal gene functions, pathogenic features, metabolic pathways and genome evolution in the era of post-genomics. Furthermore, such comparisons provide important clues for vaccines and drug development. Existing genome comparison software often lacks accurate information on orthologs, the function of similar genes identified and genome-wide reports and lists on specific functions. All these features and further analyses are provided here in the context of a modular software tool "inGeno" written in Java with Biojava subroutines. RESULTS: InGeno provides a user-friendly interactive visualization platform for sequence comparisons (comprehensive reciprocal protein--protein comparisons) between complete genome sequences and all associated annotations and features. The comparison data can be acquired from several different sequence analysis programs in flexible formats. Automatic dot-plot analysis includes output reduction, filtering, ortholog testing and linear regression, followed by smart clustering (local collinear blocks; LCBs) to reveal similar genome regions. Further, the system provides genome alignment and visualization editor, collinear relationships and strain-specific islands. Specific annotations and functions are parsed, recognized, clustered, logically concatenated and visualized and summarized in reports. CONCLUSION: As shown in this study, inGeno can be applied to study and compare in particular prokaryotic genomes against each other (gram positive and negative as well as close and more distantly related species) and has been proven to be sensitive and accurate. This modular software is user-friendly and easily accommodates new routines to meet specific user-defined requirements.

Base Sequence↗

Selection for unequal densities of sigma70 promoter-like signals in different regions of large bacterial genomes.

The evolutionary processes operating in the DNA regions that participate in the regulation of gene expression are poorly understood. In Escherichia coli, we have established a sequence pattern that distinguishes regulatory from nonregulatory regions. The density of promoter-like sequences, that could be recognizable by RNA polymerase and may function as potential promoters, is high within regulatory regions, in contrast to coding regions and regions located between convergently transcribed genes. Moreover, functional promoter sites identified experimentally are often found in the subregions of highest density of promoter-like signals, even when individual sites with higher binding affinity for RNA polymerase exist elsewhere within the regulatory region. In order to see the generality of this pattern, we have analyzed 43 additional genomes belonging to most established bacterial phyla. Differential densities between regulatory and nonregulatory regions are detectable in most of the analyzed genomes, with the exception of those that have evolved toward extreme genome reduction. Thus, presence of this pattern follows that of genes and other genomic features that require weak selection to be effective in order to persist. On this basis, we suggest that the loss of differential densities in the reduced genomes of host-restricted pathogens and symbionts is an outcome of the process of genome degradation resulting from the decreased efficiency of purifying selection in highly structured small populations. This implies that the differential distribution of promoter-like signals between regulatory and nonregulatory regions detected in large bacterial genomes confers a significant, although small, fitness advantage. This study paves the way for further identification of the specific types of selective constraints that affect the organization of regulatory regions and the overall distribution of promoter-like signals through more detailed comparative analyses among closely related bacterial genomes.

Amino Acid Motifs↗

The vlhA loci of Mycoplasma synoviae are confined to a restricted region of the genome.

Mycoplasma synoviae, a major pathogen of poultry, contains a single expressed, full-length vlhA gene encoding its haemagglutinin, and a large number of vlhA pseudogenes that can be recruited by multiple site-specific recombination events to generate chimaeric variants of the expressed gene. The position and distribution of the vlhA pseudogene regions, and their relationship with the expressed gene, have not been investigated. To determine the relationship between these regions, a physical map of the M. synoviae genome was constructed using the restriction endonucleases SmaI, I-CeuI, BsiWI, ApaI and XhoI and radiolabelled probes for rrnA, recA and tufA. A cloned fragment encoding the unique portion of the expressed vlhA gene and two PCR products containing conserved regions of the ORF 3 and ORF 6 vlhA pseudogenes were used to locate the regions containing these genes on the map. The chromosome of M. synoviae was found to be 890.4 kb and the two rRNA operons were in the same orientation. Both the expressed vlhA gene and the vlhA pseudogenes were confined to the same 114 kb region of the chromosome. These findings indicate that, unlike Mycoplasma gallisepticum, in which the vlhA genes are located in several loci around the chromosome and in which antigenic variation is generated by alternating transcription of over 40 translationally competent genes, M. synoviae has all of the vlhA sequences clustered together, suggesting that close proximity is needed to facilitate the site-specific recombinations used to generate diversity in the expressed vlhA gene.

Animals↗

Evolutionary genetics of Carpodacus mexicanus, a recently colonized host of a bacterial pathogen, Mycoplasma gallisepticum.

We present molecular data documenting how introduction to the eastern United States and an epizootic involving a bacterial pathogen has affected the genetic diversity of house finches, a cardueline songbird. Population bottlenecks during introduction can cause loss of genetic variation and may negatively affect a population's ability to adapt to novel stressors such as disease. Although a genome-wide survey using Amplified Fragment Length Polymorphism (AFLP) markers suggests little loss of genetic diversity in introduced populations, an epizootic of bacterial Mycoplasma has nonetheless caused dramatic declines in the eastern US population. Sequence analysis of a candidate gene for pathogen resistance in the Major Histocompatibity Complex (MHC) in pre- and post-epizootic population samples reveals allele frequency shifts since introduction of the pathogen, but similar shifts are also observed in control populations not exposed to the bacteria, and in a neutral non-coding locus. Expression studies using a novel subtractive hybridization approach indicate decreased expression of the class II MHC locus upon exposure to Mycoplasma, a pattern also seen in MHC class I loci in mice infected with cytomegalovirus and consistent with manipulation of the finch immune system by Mycoplasma. These results will be further expanded using experimental studies as well as examination of evolution of the pathogen genome itself.

Adaptation, Physiological↗

Evolution of antigen drift/switching: continuously evading pathogens.

Following infection to a host, some pathogens repeatedly alter their antigen expression, and thereby escape the immune defense (antigen drift/switching). This paper examines the evolutionarily stable mutation rate of pathogens which maximizes the stationary pathogen density in a host. Assumptions are: (i) most mutations are deleterious but a minor fraction, p, of mutations can contribute to the alternation of antigenic property of the pathogen; and. (ii) potential antigen types can be indexed in a one-dimensional lattice (the stepping-stone model). The model reveals that: (a) if the mutation rate is higher than a threshold mu(c) = R0/(1-p), where R0 is the per capita growth rate of pathogen before the immune system is activated, pathogens cannot maintain themselves because too many progeny are lost by lethal mutations; (b) if the mutation rate lies between zero and mu(c), the system converges to a traveling wave of antigen variants with a constant wave speed; (c) the evolutionarily stable mutation rate microESS is unexpectedly high: more than 0.25 per genome per replication even if most mutations are lethal. Hence more than a fourth of progeny are born defective in the evolutionarily stable state; (d) the microESS is even higher if multiple infections by pathogens are common. The paper also studies the evolutionarily stable mutation rate if every mutant antigen belongs to a different type (the infinite allele model), and the evolution of antigen switching between a finite number of antigen variants stored in the pathogen genome.

Alleles↗

Analysis of the products of genes encompassed by the theoretically predicted pathogenicity islands of Mycobacterium tuberculosis and Mycobacterium bovis.

Sequencing of the genomes of Mycobacterium tuberculosis and Mycobacterium bovis provides a unique opportunity to study the biology of these pathogens on the genomic level. The computational detection of anomalous gene clusters such as those encompassed by pathogenicity islands allows for a narrowing of the study into well-defined groups of genes. Pathogenicity islands of M. tuberculosis (strains H37Rv and CDC1551) as well as M. bovis genomes comprise a group of genes encoding proteins that have been shown to be of immunological importance. The cross-genomic comparison (M. tuberculosis vs M. bovis) resulted in the elucidation of unique proteins in M. tuberculosis. These proteins may play a significant role in the host recognition process.

Computational Biology↗

Identification of Cryptococcus neoformans temperature-regulated genes with a genomic-DNA microarray.

The ability to survive and proliferate at 37 degrees C is an essential virulence attribute of pathogenic microorganisms. A partial-genome microarray was used to profile gene expression in the human-pathogenic fungus Cryptococcus neoformans during growth at 37 degrees C. Genes with orthologs involved in stress responses were induced during growth at 37 degrees C, suggesting that a conserved transcriptional program is used by C. neoformans to alter gene expression during stressful conditions. A gene encoding the transcription factor homolog Mga2 was induced at 37 degrees C and found to be important for high-temperature growth. Genes encoding fatty acid biosynthetic enzymes were identified as potential targets of Mga2, suggesting that membrane remodeling is an important component of adaptation to high growth temperatures. mga2Delta mutants were extremely sensitive to the ergosterol synthesis inhibitor fluconazole, indicating a coordination of the synthesis of membrane component precursors. Unexpectedly, genes involved in amino acid and pyrimidine biosynthesis were repressed at 37 degrees C, but components of these pathways were found to be required for high-temperature growth. Our findings demonstrate the utility of even partial-genome microarrays for delineating regulatory cascades that contribute to microbial pathogenesis.

Cryptococcus neoformans↗

MITOMAP: an update on the status of the human mitochondrial genome database.

We have continued to develop MITOMAP, a comprehensive database for the human mitochondrial DNA (mtDNA). MITOMAP uses the mtDNA sequence as the unifying element for bringing together information on mitochondrial genome structure and function, pathogenic mutations and their clinical characteristics, population associated variation and gene-gene interactions. As increasingly larger regions of the human genome are sequenced and characterized, the need for integrating such information will grow. Consequently, MITOMAP not only provides a valuable reference for the mitochondrial biologist, it will also provide a model for the development of comprehensive, multi-media information storage and retrieval systems for other components of the human genome. This paper is an update of the changes which have occurred to MITOMAP over the past year.

Base Sequence↗

Tracing the evolution and genomic dynamics of mating-type loci in Cryptococcus pathogens and closely related species.

Sexual reproduction in basidiomycete fungi is governed by MAT loci (P/R and HD), which exhibit remarkable evolutionary plasticity, characterized by expansions, rearrangements, and gene losses often associated with mating system transitions. The sister genera Cryptococcus and Kwoniella provide a powerful framework for studying MAT loci evolution owing to their diverse reproductive strategies and distinct architectures, spanning bipolar and tetrapolar systems with either linked or unlinked MAT loci. Building on recent comparative genomic analyses, we generated additional chromosome-level assemblies, uncovering distinct trajectories shaping MAT loci organization. Contrasting with the small-scale expansions and gene acquisitions observed in Kwoniella, our analyses revealed independent expansions of the P/R locus in tetrapolar Cryptococcus, possibly driven by pheromone gene duplications. Notably, these expansions coincided with a pronounced GC-content reduction best explained by reduced GC-biased gene conversion following recombination suppression, rather than relaxed codon usage selection. Diverse modes of MAT locus linkage were also identified, including three previously unrecognized transitions: one resulting in a pseudobipolar arrangement and two leading to bipolarity. All three transitions involved translocations. In the pseudobipolar configuration, the P/R and HD loci remained on the same chromosome but genetically unlinked, whereas the bipolar transitions additionally featured rearrangements that fused the two loci into a nonrecombining region. Mating assays confirmed a sexual cycle in C. decagattii, demonstrating its ability to undergo mating and sporulation. Progeny analysis in K. mangrovensis revealed substantial ploidy variation and aneuploidy, likely stemming from haploid-diploid mating, yet evidence of recombination and loss of heterozygosity indicates that meiotic exchange occurs despite irregular chromosome segregation. Our findings underscore the importance of continued diversity sampling and provide further evidence for convergent evolution of fused MAT loci in basidiomycetes, offering new insights into the genetic and chromosomal changes driving reproductive transitions.

MAT genes↗

Evolution of genomic content in the stepwise emergence of Escherichia coli O157:H7.

Genome comparisons have demonstrated that dramatic genetic change often underlies the emergence of new bacterial pathogens. Evolutionary analysis of Escherichia coli O157:H7, a pathogen that has emerged as a worldwide public health threat in the past two decades, has posited that this toxin-producing pathogen evolved in a series of steps from O55:H7, a recent ancestor of a nontoxigenic pathogenic clone associated with infantile diarrhea. We used comparative genomic hybridization with 50-mer oligonucleotide microarrays containing probes from both pathogenic and nonpathogenic genomes to infer when genes were acquired and lost. Many ancillary virulence genes identified in the O157 genome were already present in an O55:H7-like progenitor, with 27 of 33 genomic islands of >5 kb and specific for O157:H7 (O islands) that were acquired intact before the split from this immediate ancestor. Most (85%) of variably absent or present genes are part of prophages or phage-like elements. Divergence in gene content among these closely related strains was approximately 140 times greater than divergence at the nucleotide sequence level. A >100-kb region around the O-antigen gene cluster contained highly divergent sequences and also appears to be duplicated in its entirety in one lineage, suggesting that the whole region was cotransferred in the antigenic shift from O55 to O157. The beta-glucuronidase-positive O157 variants, although phylogenetically closest to the Sakai strain, were divergent for multiple adherence factors. These observations suggest that, in addition to gains and losses of phage elements, O157:H7 genomes are rapidly diverging and radiating into new niches as the pathogen disseminates.

Chromosome Mapping↗

Unique physiological and pathogenic features of Leptospira interrogans revealed by whole-genome sequencing.

Leptospirosis is a widely spread disease of global concern. Infection causes flu-like episodes with frequent severe renal and hepatic damage, such as haemorrhage and jaundice. In more severe cases, massive pulmonary haemorrhages, including fatal sudden haemoptysis, can occur. Here we report the complete genomic sequence of a representative virulent serovar type strain (Lai) of Leptospira interrogans serogroup Icterohaemorrhagiae consisting of a 4.33-megabase large chromosome and a 359-kilobase small chromosome, with a total of 4,768 predicted genes. In terms of the genetic determinants of physiological characteristics, the facultatively parasitic L. interrogans differs extensively from two other strictly parasitic pathogenic spirochaetes, Treponema pallidum and Borrelia burgdorferi, although similarities exist in the genes that govern their unique morphological features. A comprehensive analysis of the L. interrogans genes for chemotaxis/motility and lipopolysaccharide synthesis provides a basis for in-depth studies of virulence and pathogenesis. The discovery of a series of genes possibly related to adhesion, invasion and the haematological changes that characterize leptospirosis has provided clues about how an environmental organism might evolve into an important human pathogen.

Bacterial Adhesion↗

Describing ancient horizontal gene transfers at the nucleotide and gene levels by comparative pathogenicity island genometrics.

MOTIVATION: Lateral gene transfer is a major mechanism contributing to bacterial genome dynamics and pathovar emergence via pathogenicity island (PAI) spreading. However, since few of these genomic exchanges are experimentally reproducible, it is difficult to establish evolutionary scenarios for the successive PAI transmissions between bacterial genera. Methods initially developed at the gene and/or nucleotide level for genomics, i.e. comparisons of concatenated sequences, ortholog frequency, gene order or dinucleotide usage, were combined and applied here to homologous PAIs: we call this approach comparative PAI genometrics. RESULTS: YAPI, a Yersinia PAI, and related islands were compared with measure evolutionary relationships between related modules. Through use of our genometric approach designed for tracking codon usage adaptation and gene phylogeny, an ancient inter-genus PAI transfer was oriented for the first time by characterizing the genomic environment in which the ancestral island emerged and its subsequent transfers to other bacterial genera.

Chromosome Mapping↗

NextVir: Enabling classification of tumor-causing viruses with genomic foundation models.

MOTIVATION: Oncoviruses, pathogens known to cause or increase the risk of cancer, include both common viruses such as human papillomaviruses and rarer pathogens such as human T-lymphotropic viruses. Computational methods for detecting viral DNA from data acquired by modern DNA sequencing technologies have enabled studies of the association between oncoviruses and cancers. Those studies are rendered particularly challenging when multiple species of oncovirus are present in a tumor sample. In such scenarios, merely detecting the presence of a sequencing read of viral origin is insufficiently informative-instead, a more precise characterization of the viral content in the sample is required. RESULTS: We address this need with NextVir, to our knowledge the first multi-class viral classification framework that adapts genomic foundation models to detecting and classifying sequencing reads of oncoviral origin. Specifically, NextVir explores several foundation models-DNABERT-S, Nucelotide Transformer, and HyenaDNA-and efficiently fine-tunes them to enable accurate identification of the sequencing reads' origin. The results demonstrate superior performance of the proposed framework over existing deep learning methods and suggest downstream potential for foundational models in genomics.

Humans↗

The Yersinia high-pathogenicity island (HPI): evolutionary and functional aspects.

The high-pathogenicity island (HPI) is a genomic island essential for the mouse-virulence phenotype in Yersinia and indispensable for pathogenicity of Yersinia and certain pathotypes of Escherichia coli. In contrast to most genomic islands, the HPI is a functional island widely disseminated among members of the family of Enterobacteriaceae. The HPI-encoded phage P4-like integrase together with excisionase and recombination sites make up the genetic mobility module of the island, while the siderophore yersiniabactin biosynthesis and uptake system comprises its functional part with respect to fitness and pathogenicity. The HPI-integrase promotes integration of the island into attB sites represented by three to four asn tDNAs in Yersinia pestis and E. coli. An additional enzyme, excisionase, is essential for efficient excision of the HPI from the initial site of integration. Furthermore a unique type of HPI has been characterized in the E. coli strain ECOR31 carrying a functional conjugative mating pair formation (Mpf) and a DNA-processing system, both of which are characteristic of integrative and conjugative elements (ICE). A model of conjugative transfer for the dissemination of HPIs is proposed in which the excised HPI is mobilized to a new recipient either trapped by a transmissive asn tDNA-carrying plasmid or autonomously as an ICE named ICEEcl.

Animals↗