致病岛及其分泌系统

致病岛是指细菌染色体上一段具有典型结构特征的基因簇,主要编码与细菌的毒力及代谢等功能相关的产物。病原菌必须要有一套高效的分泌系统才能将致病因子分泌到细菌表面或转运出细胞,并尽可能进入宿主细胞。现在已经发现了至少5套不同的蛋白分泌系统。本文就致病岛及其分泌系统的相关研究进展作一综述。     

The molecular basis of infectious diseases: pathogenicity islands and other mobile genetic elements. A review

Bacterial genomes generally consist of stable regions termed core genome, and variable regions that form the so-called flexible gene pool. The flexible part is composed of bacteriophages, plasmids, transposons as well as unstable large regions that have been termed genomic islands. Genomic islands encoding virulence factors of pathogenic bacteria have been designated "pathogenicity islands". Pathogenicity islands were first discovered in uropathogenic Escherichia coli and presently more than 30 bacterial species carrying pathogenicity islands have been described. This review summarises the current knowledge on bacterial genomic islands and their general features, and discusses their putative role in the evolution of microbes in the light of genomics of pathogenic bacteria.     

Pathogenicity islands of virulent bacteria: structure, function and impact on microbial evolution

Virulence genes of pathogenic bacteria, which code for toxins, adhesins, invasins or other virulence factors, may be located on transmissible genetic elements such as transposons, plasmids or bacteriophages. In addition, such genes may be part of particular regions on the bacterial chromosome, termed‘pathogenicity islands’(Pais). Pathogenicity islands are found in Gram-negative as well as in Gram-positive bacteria. They are present in the genome of pathogenic strains of a given species but absent or only rarely present in those of non-pathogenic variants of the same or related species. They comprise large DNA regions (up to 200 kb of DNA) and often carry more than one virulence gene, the G+C contents of which often differ from those of the remaining bacterial genome. In most cases, Pais are flanked by specific DNA sequences, such as direct repeats or insertion sequence (IS) elements. In addition, Pais of certain bacteria (e.g. uropathogenic Escherichia coli, Yersinia spp., Helicobacter pylori) have the tendency to delete with high frequencies or may undergo duplications and amplifications. Pais are often associated with tRNA loci, which may represent target sites for the chromosomal integration of these elements. Bacteriophage attachment sites and cryptic genes on Pais, which are homologous to phage integrase genes, plasmid origins of replication or IS elements, indicate that these particular genetic elements were previously able to spread among bacterial populations by horizontal gene transfer, a process known to contribute to microbial evolution.     

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.     

Photorhabdus: towards a functional genomic analysis of a symbiont and pathogen

Pathogenicity and symbiosis are central to bacteria-host interactions. Although several human pathogens have been subjected to functional genomic analysis, we still understand little about bacteria-invertebrate interactions despite their ecological prevalence. Advances in our knowledge of this area are often hindered by the difficulty of isolating and working with invertebrate pathogenic bacteria and their hosts. Here we review studies on pathogenicity and symbiosis in an insect pathogenic bacterium Photorhabdus and its entomopathogenic nematode vector and model insect hosts. Whilst switching between these hosts, Photorhabdus changes from a state of symbiosis with its nematode vector to one of pathogenicity towards its new insect host and both the bacteria and the nematode then cooperatively exploit the dying insect. We examine candidate genes involved in symbiosis and pathogenicity, their secretion and expression patterns in culture and in the host, and begin to dissect the extent of their genetic coregulation. We describe the presence of several large genomic islands, putatively involved in pathogenicity or symbiosis, within the otherwise Yersinia-like backbone of the Photorhabdus genome. Finally, we examine the emerging comparative genomics of the Photorhabdus group and begin to describe the interrelationship between anti-invertebrate virulence factors and those used against vertebrates.     

PIPS: pathogenicity island prediction software

The adaptability of pathogenic bacteria to hosts is influenced by the genomic plasticity of the bacteria, which can be increased by such mechanisms as horizontal gene transfer. Pathogenicity islands play a major role in this type of gene transfer because they are large, horizontally acquired regions that harbor clusters of virulence genes that mediate the adhesion, colonization, invasion, immune system evasion, and toxigenic properties of the acceptor organism. Currently, pathogenicity islands are mainly identified in silico based on various characteristic features: (1) deviations in codon usage, G+C content or dinucleotide frequency and (2) insertion sequences and/or tRNA genetic flanking regions together with transposase coding genes. Several computational techniques for identifying pathogenicity islands exist. However, most of these techniques are only directed at the detection of horizontally transferred genes and/or the absence of certain genomic regions of the pathogenic bacterium in closely related non-pathogenic species. Here, we present a novel software suite designed for the prediction of pathogenicity islands (pathogenicity island prediction software, or PIPS). In contrast to other existing tools, our approach is capable of utilizing multiple features for pathogenicity island detection in an integrative manner. We show that PIPS provides better accuracy than other available software packages. As an example, we used PIPS to study the veterinary pathogen Corynebacterium pseudotuberculosis, in which we identified seven putative pathogenicity islands.     

A computational approach for identifying pathogenicity islands in prokaryotic genomes

Background  

Pathogenicity islands (PAIs), distinct genomic segments of pathogens encoding virulence factors, represent a subgroup of genomic islands (GIs) that have been acquired by horizontal gene transfer event. Up to now, computational approaches for identifying PAIs have been focused on the detection of genomic regions which only differ from the rest of the genome in their base composition and codon usage. These approaches often lead to the identification of genomic islands, rather than PAIs.     

细菌中基因组岛的转移与调控机制研究进展

基因水平转移可导致细菌不同种属间个体DNA的交换,从而使细菌对环境的适应性增强,是细菌进化的重要途径之一。基因组岛是基因水平转移的重要载体,可移动的基因组岛能够整合到宿主的染色体上,并在特定的条件下切除,进而通过转化、接合或转导等方式转移到新的宿主中。基因组岛具有多种生物学功能,如抗生素抗性、致病性、异源物质降解、重金属抗性等。基因组岛的转移造成可变基因在不同种属细菌间的广泛传播,例如毒力和耐药基因的传播导致了多重耐药细菌的产生,威胁人类健康。基因组岛由整合酶介导转移,同时在转移的过程受到多种不同转录因子的调控。本文对细菌中基因组岛的结构特点、转移和调控机制以及预测等方面进行了综述,并最终阐明基因组岛的转移及其调控机制是遏制基因组岛传播的重要策略。     

Genomic islands and the evolution of catabolic pathways in bacteria

Genes for the degradation of organic pollutants have usually been allocated to plasmid DNAs in bacteria or considered non-mobile when detected in the chromosome. New discoveries have shown that catabolic genes can also be part of so-called integrative and conjugative elements (ICElands), a group of mobile DNA elements also known as genomic islands and conjugative transposons. One such ICEland is the clc element for chlorobenzoate and chlorocatechol degradation in Pseudomonas sp. strain B13. Genome comparisons and genetic data on integrase functioning reveal that the clc element and several other unclassified ICElands belong to a group of elements with conserved features. The clc element is unique among them in carrying the genetic information for several degradation pathways, whereas the others give evidence for pathogenicity functions. Many more such elements may exist, bridging the gap between pathogenicity and degradation functions.     

Comparative overview of the genomic and genetic differences between the pathogenic Neisseria strains and species

The availability of complete genome sequences from multiple pathogenic Neisseria strains and species has enabled a comprehensive survey of the genomic and genetic differences occurring within these species. In this review, we describe the chromosomal rearrangements that have occurred, and the genomic islands and prophages that have been identified in the various genomes. We also describe instances where specific genes are present or absent, other instances where specific genes have been inactivated, and situations where there is variation in the version of a gene that is present. We also provide an overview of mosaic genes present in these genomes, and describe the variation systems that allow the expression of particular genes to be switched ON or OFF. We have also described the presence and location of mobile non-coding elements in the various genomes. Finally, we have reviewed the incidence and properties of various extra-chromosomal elements found within these species. The overall impression is one of genomic variability and instability, resulting in increased functional flexibility within these species.     

病原菌毒力岛研究进展

毒力岛作为基因组岛的一种亚类,是细菌染色体上具有特定结构和功能特征的可移动基因大片段,经基因水平转移（转导、接合或转化）获得,可使细菌基因组进化在短期内发生“量的飞跃”,直接或间接增强细菌的生态适应性,与病原菌的致病性密切相关。毒力岛存在于多种动植物病原细菌中,对于细菌的毒力变异、遗传进化甚至新病原亚种形成有重要意义。简要综述了病原菌毒力岛的研究进展,介绍了毒力岛的结构、功能特征及其在病原菌进化中作用。     

Pathogenicity islands: a molecular toolbox for bacterial virulence

Pathogenicity islands (PAIs) are distinct genetic elements on the chromosomes of a large number of bacterial pathogens. PAIs encode various virulence factors and are normally absent from non-pathogenic strains of the same or closely related species. PAIs are considered to be a subclass of genomic islands that are acquired by horizontal gene transfer via transduction, conjugation and transformation, and provide 'quantum leaps' in microbial evolution. Data based on numerous sequenced bacterial genomes demonstrate that PAIs are present in a wide range of both gram-positive and gram-negative bacterial pathogens of humans, animals and plants. Recent research focused on PAIs has not only led to the identification of many novel virulence factors used by these species during infection of their respective hosts, but also dramatically changed our way of thinking about the evolution of bacterial virulence.     

Heteromeric transposase elements: generators of genomic islands across diverse bacteria

Horizontally acquired genetic information in bacterial chromosomes accumulates in blocks termed genomic islands. Tn7‐like transposons form genomic islands at a programmed insertion site in bacterial chromosomes, attTn7. Transposition involves five transposon‐encoded genes (tnsABCDE) including an atypical heteromeric transposase. One transposase subunit, TnsB, is from the large family of bacterial transposases, the second, TnsA, is related to endonucleases. A regulator protein, TnsC, functions with different target site selecting proteins to recognize different targets. TnsD directs transposition into attTn7, while TnsE encourages horizontal transmission by targeting mobile plasmids. Recent work suggests that distantly related elements with heteromeric transposases exist with alternate targeting pathways that also facilitate the formation of genomic islands. Tn6230 and related elements can be found at a single position in a gene of unknown function (yhiN) in various bacteria as well as in mobile plasmids. Another group we term Tn6022‐like elements form pathogenicity islands in the Acinetobacter baumannii comM gene. We find that Tn6022‐like elements also appear to have an uncharacterized mechanism for provoking internal transposition and deletion events that serve as a conduit for evolving new elements. As a group, heteromeric transposase elements utilize diverse target site selection mechanisms adapted to the spread and rearrangement of genomic islands.     

The selC-associated SHI-2 pathogenicity island of Shigella flexneri

Pathogenicity islands are chromosomal gene clusters, often located adjacent to tRNA genes, that encode virulence factors present in pathogenic organisms but absent or sporadically found in related non-pathogenic species. The selC tRNA locus is the site of integration of different pathogenicity islands in uropathogenic Escherichia coli, enterohaemorrhagic E. coli and Salmonella enterica. We show here that the selC locus of Shigella flexneri, the aetiological agent of bacterial dysentery, also contains a pathogenicity island. This pathogenicity island, designated SHI-2 (Shigella island 2), occupies 23.8 kb downstream of selC and contains genes encoding the aerobactin iron acquisition siderophore system, colicin V immunity and several novel proteins. Remnants of multiple mobile genetic elements are present in SHI-2. SHI-2-hybridizing sequences were detected in all S. flexneri strains tested and parts of the island were also found in other Shigella species. SHI-2 may allow Shigella survival in stressful environments, such as those encountered during infection.     

Mobilization of the Vibrio pathogenicity island between Vibrio cholerae isolates mediated by CP-T1 generalized transduction

Pathogenicity islands are large chromosomal regions encoding virulence genes that were acquired by horizontal gene transfer and are found in a wide range of pathogenic bacteria. In toxigenic Vibrio cholerae isolates the receptor for the cholera toxin encoding filamentous phage CTXphi, the toxin-coregulated pilus, is part of the Vibrio pathogenicity island (VPI). In this paper, we show that the VPI can be transferred between O1 serogroup strains, the predominant cause of epidemic cholera, via a generalized transducing phage CP-T1.     

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.     

Genomic island excisions in Bordetella petrii

Background  

Among the members of the genus Bordetella B. petrii is unique, since it is the only species isolated from the environment, while the pathogenic Bordetellae are obligately associated with host organisms. Another feature distinguishing B. petrii from the other sequenced Bordetellae is the presence of a large number of mobile genetic elements including several large genomic regions with typical characteristics of genomic islands collectively known as integrative and conjugative elements (ICEs). These elements mainly encode accessory metabolic factors enabling this bacterium to grow on a large repertoire of aromatic compounds.     

DNA methylation of mobile genetic elements in human cancers

Mobile genetic elements are responsible for half of the human genome, creating the host genomic instability or variability through several mechanisms. Two types of abnormal DNA methylation in the genome, hypomethylation and hypermethylation, are associated with cancer progression. Genomic hypermethylation has been most often observed on the CpG islands around gene promoter regions in cancer cells. In contrast, hypomethylation has been observed on mobile genetic elements in the cancer cells. It is recently considered that the hypomethylation of mobile genetic elements may play a biological role in cancer cells along with the DNA hypermethylation on CpG islands. Growing evidence has indicated that mobile genetic elements could be associated with the cancer initiation and progression through the hypomethylation. Here we review the recent progress on the relationship between DNA methylation and mobile genetic elements, focusing on the hypomethylation of LINE-1 and HERV elements in various human cancers and suggest that DNA hypomethylation of mobile genetic elements could have potential to be a new cancer therapy target in the future.     

Evolution in Quantum Leaps: Multiple Combinatorial Transfers of HPI and Other Genetic Modules in Enterobacteriaceae

Horizontal gene transfer is a key step in the evolution of Enterobacteriaceae. By acquiring virulence determinants of foreign origin, commensals can evolve into pathogens. In Enterobacteriaceae, horizontal transfer of these virulence determinants is largely dependent on transfer by plasmids, phages, genomic islands (GIs) and genomic modules (GMs). The High Pathogenicity Island (HPI) is a GI encoding virulence genes that can be transferred between different Enterobacteriaceae. We investigated the HPI because it was present in an Enterobacter hormaechei outbreak strain (EHOS). Genome sequence analysis showed that the EHOS contained an integration site for mobile elements and harbored two GIs and three putative GMs, including a new variant of the HPI (HPI-ICEEh1). We demonstrate, for the first time, that combinatorial transfers of GIs and GMs between Enterobacter cloacae complex isolates must have occurred. Furthermore, the excision and circularization of several combinations of the GIs and GMs was demonstrated. Because of its flexibility, the multiple integration site of mobile DNA can be considered an integration hotspot (IHS) that increases the genomic plasticity of the bacterium. Multiple combinatorial transfers of diverse combinations of the HPI and other genomic elements among Enterobacteriaceae may accelerate the generation of new pathogenic strains.     

Prediction of genomic islands in seven human pathogens using the Z-Island method

We adopted the method of Zhang and Zhang (the Z-Island method) to identify genomic islands in seven human pathogens, analyzing their chromosomal DNA sequences. The Z-Island method is a theoretical method for predicting genomic islands in bacterial genomes; it consists of determination of the cumulative GC profile and computation of codon usage bias. Thirty-one genomic islands were found in seven pathogens using this method. Further analysis demonstrated that most have the known conserved features; this increases the probability that they are real genomic islands. Eleven genomic islands were found to code for products involved in causing disease (virulence factors) or in resistance to antibiotics (resistance factors). This finding could be useful for research on the pathogenicity of these bacteria and helpful in the treatment of the diseases that they cause. In a comparison of the distribution of mobility elements in genomic islands predicted by different methods, the Z-Island method gave lower false-positive rates. The Z-Island method was found to detect more known genomic islands than the two methods that we compared it with, SIGI-HMM and IslandPick. Furthermore, it maintained a better balance between specificity and sensitivity. The only inconvenience is that the steps for finding genomic islands by the Z-Island method are semi-automatic.