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。     

Transposon Tn7 is widespread in diverse bacteria and forms genomic islands

We find that relatives of the bacterial transposon Tn7 are widespread in disparate environments and phylogenetically diverse species. These elements form functionally diverse genomic islands at the specific site of Tn7 insertion adjacent to glmS. This work presents the first example of genomic island formation by a DDE type transposon.     

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.     

Patterns of cladogenesis in the venomous marine gastropod genus Conus from the Cape Verde islands

Isolated oceanic archipelagos are excellent model systems to study speciation, biogeography, and evolutionary factors underlying the generation of biological diversity. Despite the wealth of studies documenting insular speciation, few of them focused on marine organisms. Here, we reconstruct phylogenetic relationships among species of the marine venomous gastropod genus Conus from the Cape Verde archipelago. This small island chain located in the Central Atlantic hosts 10% of the worldwide species diversity of Conus. Analyses were based on mtDNA sequences, and a novel nuclear marker, a megalin-like protein, member of the low-density lipoprotein receptor gene family. The inferred phylogeny recovered two well-defined clades within Conus. One includes Cape Verde endemic species with larger shells, known as the "venulatus" complex together with C. pulcher from the Canary Islands. The other is composed of Cape Verde endemic and West Africa and Canary Island "small" shelled species. In both clades, nonendemic Conus were resolved as sister groups of the Cape Verde endemics, respectively. Our results indicate that the ancestors of "small" and "large" shelled lineages independently colonized Cape Verde. The resulting biogeographical pattern shows the grouping of most Cape Verde endemics in monophyletic island assemblages. Statistical tests supported a recent radiation event within the "small shell" clade. Using a molecular clock, we estimated that the colonization of the islands by the "small" shelled species occurred relatively close to the origin of the islands whereas the arrival of "large" shelled Conus is more recent. Our results suggest that the main factor responsible for species diversity in the archipelago may be allopatric speciation promoted by the reduced dispersal capacity of nonplanktonic lecithotrophic larvae.     

SIGI: score-based identification of genomic islands

Background  

Genomic islands can be observed in many microbial genomes. These stretches of DNA have a conspicuous composition with regard to sequence or encoded functions. Genomic islands are assumed to be frequently acquired via horizontal gene transfer. For the analysis of genome structure and the study of horizontal gene transfer, it is necessary to reliably identify and characterize these islands.     

Horizontally acquired genomic islands in the tubercle bacilli

Most mycobacteria are environmental species, causing disease only occasionally when they encounter a susceptible human or animal host. A few species, such as Mycobacterium tuberculosis and Mycobacterium avium, have acquired the ability to parasitize host macrophages during the course of evolution and have become major pathogens. Recent genetic studies in these two species have suggested that early episodes of horizontal transfer of genomic islands from surrounding environmental species might have contributed to the evolution towards this virulence phenotype, possibly by helping bacilli to persist in protozoa and, subsequently, in mammalian phagocytes. A better understanding of the function of the proteins encoded by these genomic islands in mycobacterial metabolism might help to define novel targets for the development of future antimicrobials.     

IslandPath: aiding detection of genomic islands in prokaryotes

Genomic islands (clusters of genes of potential horizontal origin in a prokaryotic genome) are frequently associated with a particular adaptation of a microbe that is of medical, agricultural or environmental importance, such as antibiotic resistance, pathogen virulence, or metal resistance. While many sequence features associated with such islands have been adopted separately in applications for analysis of genomic islands, including pathogenicity islands, there is no single application that integrates multiple features for island detection. IslandPath is a network service which incorporates multiple DNA signals and genome annotation features into a graphical display of a bacterial or archaeal genome, to aid the detection of genomic islands. AVAILABILITY: This application is available at http://www.pathogenomics.sfu.ca/islandpath and the source code is freely available, under GNU public licence, from the authors. SUPPLEMENTARY INFORMATION: An online help file, which includes analyses of the utility of IslandPath, can be found at http://www.pathogenomics.sfu.ca/islandpath/current/islandhelp.html     

Defining genomic islands and uropathogen-specific genes in uropathogenic Escherichia coli

Uropathogenic Escherichia coli (UPEC) strains are responsible for the majority of uncomplicated urinary tract infections, which can present clinically as cystitis or pyelonephritis. UPEC strain CFT073, isolated from the blood of a patient with acute pyelonephritis, was most cytotoxic and most virulent in mice among our strain collection. Based on the genome sequence of CFT073, microarrays were utilized in comparative genomic hybridization (CGH) analysis of a panel of uropathogenic and fecal/commensal E. coli isolates. Genomic DNA from seven UPEC (three pyelonephritis and four cystitis) isolates and three fecal/commensal strains, including K-12 MG1655, was hybridized to the CFT073 microarray. The CFT073 genome contains 5,379 genes; CGH analysis revealed that 2,820 (52.4%) of these genes were common to all 11 E. coli strains, yet only 173 UPEC-specific genes were found by CGH to be present in all UPEC strains but in none of the fecal/commensal strains. When the sequences of three additional sequenced UPEC strains (UTI89, 536, and F11) and a commensal strain (HS) were added to the analysis, 131 genes present in all UPEC strains but in no fecal/commensal strains were identified. Seven previously unrecognized genomic islands (>30 kb) were delineated by CGH in addition to the three known pathogenicity islands. These genomic islands comprise 672 kb of the 5,231-kb (12.8%) genome, demonstrating the importance of horizontal transfer for UPEC and the mosaic structure of the genome. UPEC strains contain a greater number of iron acquisition systems than do fecal/commensal strains, which is reflective of the adaptation to the iron-limiting urinary tract environment. Each strain displayed distinct differences in the number and type of known virulence factors. The large number of hypothetical genes in the CFT073 genome, especially those shown to be UPEC specific, strongly suggests that many urovirulence factors remain uncharacterized.     

GIST: Genomic island suite of tools for predicting genomic islands in genomic sequences

Genomic Islands (GIs) are genomic regions that are originally from other organisms, through a process known as Horizontal Gene Transfer (HGT). Detection of GIs plays a significant role in biomedical research since such align genomic regions usually contain important features, such as pathogenic genes. We have developed a use friendly graphic user interface, Genomic Island Suite of Tools (GIST), which is a platform for scientific users to predict GIs. This software package includes five commonly used tools, AlienHunter, IslandPath, Colombo SIGI-HMM, INDeGenIUS and Pai-Ida. It also includes an optimization program EGID that ensembles the result of existing tools for more accurate prediction. The tools in GIST can be used either separately or sequentially. GIST also includes a downloadable feature that facilitates collecting the input genomes automatically from the FTP server of the National Center for Biotechnology Information (NCBI). GIST was implemented in Java, and was compiled and executed on Linux/Unix operating systems. AVAILABILITY: The database is available for free at http://www5.esu.edu/cpsc/bioinfo/software/GIST.     

Detection of genomic islands via segmental genome heterogeneity

While the recognition of genomic islands can be a powerful mechanism for identifying genes that distinguish related bacteria, few methods have been developed to identify them specifically. Rather, identification of islands often begins with cataloging individual genes likely to have been recently introduced into the genome; regions with many putative alien genes are then examined for other features suggestive of recent acquisition of a large genomic region. When few phylogenetic relatives are available, the identification of alien genes relies on their atypical features relative to the bulk of the genes in the genome. The weakness of these ‘bottom–up’ approaches lies in the difficulty in identifying robustly those genes which are atypical, or phylogenetically restricted, due to recent foreign ancestry. Herein, we apply an alternative ‘top–down’ approach where bacterial genomes are recursively divided into progressively smaller regions, each with uniform composition. In this way, large chromosomal regions with atypical features are identified with high confidence due to the simultaneous analysis of multiple genes. This approach is based on a generalized divergence measure to quantify the compositional difference between segments in a hypothesis-testing framework. We tested the proposed genome island prediction algorithm on both artificial chimeric genomes and genuine bacterial genomes.     

Flexible genomic islands as drivers of genome evolution

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Phase variation and genomic architecture changes in Azospirillum

The plant growth-promoting rhizobacterium Azospirillum lipoferum 4B generates in vitro at high frequency a stable nonswimming phase variant designated 4V(I), which is distinguishable from the wild type by the differential absorption of dyes. The frequency of variants generated by a recA mutant of A. lipoferum 4B was increased up to 10-fold. The pleiotropic modifications characteristic of the phase variant are well documented, but the molecular processes involved are unknown. Here, the objective was to assess whether genomic rearrangements take place during phase variation of strain 4B. The random amplified polymorphic DNA (RAPD) profiles of strains 4B and 4V(I) differed. RAPD fragments observed only with the wild type were cloned, and three cosmids carrying the corresponding fragments were isolated. The three cosmids hybridized with a 750-kb plasmid and pulse-field gel electrophoresis analysis revealed that this replicon was missing in the 4V(I) genome. The same rearrangements took place during phase variation of 4BrecA. Large-scale genomic rearrangements during phase variation were demonstrated for two additional strains. In Azospirillum brasilense WN1, generation of stable variants was correlated with the disappearance of a replicon of 260 kb. For Azospirillum irakense KBC1, the variant was not stable and coincided with the formation of a new replicon, whereas the revertant recovered the parental genomic architecture. This study shows large-scale genomic rearrangements in Azospirillum strains and correlates them with phase variation.     

Comparative whole-genome hybridization reveals genomic islands in Brucella species

Brucella species are responsible for brucellosis, a worldwide zoonotic disease causing abortion in domestic animals and Malta fever in humans. Based on host preference, the genus is divided into six species. Brucella abortus, B. melitensis, and B. suis are pathogenic to humans, whereas B. ovis and B. neotomae are nonpathogenic to humans and B. canis human infections are rare. Limited genome diversity exists among Brucella species. Comparison of Brucella species whole genomes is, therefore, likely to identify factors responsible for differences in host preference and virulence restriction. To facilitate such studies, we used the complete genome sequence of B. melitensis 16M, the species highly pathogenic to humans, to construct a genomic microarray. Hybridization of labeled genomic DNA from Brucella species to this microarray revealed a total of 217 open reading frames (ORFs) altered in five Brucella species analyzed. These ORFs are often found in clusters (islands) in the 16M genome. Examination of the genomic context of these islands suggests that many are horizontally acquired. Deletions of genetic content identified in Brucella species are conserved in multiple strains of the same species, and genomic islands missing in a given species are often restricted to that particular species. These findings suggest that, whereas the loss or gain of genetic material may be related to the host range and virulence restriction of certain Brucella species for humans, independent mechanisms involving gene inactivation or altered expression of virulence determinants may also contribute to these differences.     

Sequence and functional analyses of Haemophilus spp. genomic islands

Background

A major part of horizontal gene transfer that contributes to the diversification and adaptation of bacteria is facilitated by genomic islands. The evolution of these islands is poorly understood. Some progress was made with the identification of a set of phylogenetically related genomic islands among the Proteobacteria, recognized from the investigation of the evolutionary origins of a Haemophilus influenzae antibiotic resistance island, namely ICEHin1056. More clarity comes from this comparative analysis of seven complete sequences of the ICEHin1056 genomic island subfamily.

Results

These genomic islands have core and accessory genes in approximately equal proportion, with none demonstrating recent acquisition from other islands. The number of variable sites within core genes is similar to that found in the host bacteria. Furthermore, the GC content of the core genes is similar to that of the host bacteria (38% to 40%). Most of the core gene content is formed by the syntenic type IV secretion system dependent conjugative module and replicative module. GC content and lack of variable sites indicate that the antibiotic resistance genes were acquired relatively recently. An analysis of conjugation efficiency and antibiotic susceptibility demonstrates that phenotypic expression of genomic island-borne genes differs between different hosts.

Conclusion

Genomic islands of the ICEHin1056 subfamily have a longstanding relationship with H. influenzae and H. parainfluenzae and are co-evolving as semi-autonomous genomes within the 'supragenomes' of their host species. They have promoted bacterial diversity and adaptation through becoming efficient vectors of antibiotic resistance by the recent acquisition of antibiotic resistance transposons.     

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.     

R-loop-dependent replication and genomic instability in bacteria

DNA replication, the faithful copying of genetic material, must be tightly regulated to produce daughter cells with intact copies of the chromosome(s). This regulated replication is initiated by binding of specific proteins at replication origins, such as DnaA to oriC in bacteria. However, unregulated replication can sometimes be initiated at other sites, which can threaten genomic stability. One of the first systems of unregulated replication to be described is the one activated in Escherichia coli mutants lacking RNase HI (rnhA). In fact, rnhA mutants can replicate their chromosomes in a DnaA- and oriC-independent process. Because this replication occurs in cells lacking RNase HI, it is proposed that RNA from R-loops is used as a DNA polymerase primer. Replication from R-loops has recently attracted increased attention due to the advent of DNA:RNA hybrid immunoprecipitation coupled with high-throughput DNA sequencing that revealed the high prevalence of R-loop formation in many organisms, and the demonstration that R-loops can severely threaten genomic stability. Although R-loops have been linked to genomic instability mostly via replication stress, evidence of their toxic effects via unregulated replication has also been presented. Replication from R-loops may also beneficially trigger stress-induced mutagenesis (SIM) that assists bacterial adaptation to stress. Here, we describe the cis- and trans-acting elements involved in R-loop-dependent replication in bacteria, with an emphasis on new data obtained with type 1A topoisomerase mutants and new available technologies. Furthermore, we discuss about the mechanism(s) by which R-loops can reshape the genome with both negative and positive outcomes.