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Pathogenicity island

Pathogenicity islands () are discrete genomic regions, typically ranging from 10 to 200 kilobases in size, found in the chromosomes of and encoding clusters of factors such as toxins, adhesins, and systems that enable and development. These islands are characteristically absent in non-pathogenic strains of the same or closely related , distinguishing them as acquired elements that contribute to bacterial toward pathogenicity. often exhibit distinct compositional features from the core , including lower or higher G+C content (e.g., 35–60% compared to averages) and atypical codon usage, reflecting their horizontal transfer from foreign sources. They are frequently flanked by direct repeats (16–20 base pairs) and inserted near tRNA genes, with mobility facilitated by associated elements like integrases, transposases, and remnants, allowing integration, excision, and dissemination among . Acquired primarily through horizontal gene transfer mechanisms such as transduction by phages, conjugation, or transformation, PAIs represent a "molecular toolbox" for virulence, enabling pathogens to adapt to diverse hosts and environments in a single evolutionary event. Notable examples include the LEE (locus of enterocyte effacement) PAI in enteropathogenic Escherichia coli (35 kb), which encodes a type III secretion system for intestinal attachment and effacement lesions; the cag PAI in Helicobacter pylori (37–40 kb), responsible for injecting effectors into host cells via a type IV secretion system to promote gastric inflammation; and SPI-1 (Salmonella pathogenicity island-1, ~40 kb) in Salmonella enterica, facilitating invasion of host epithelial cells through a type III secretion apparatus. These structures not only drive the emergence of new pathogens but also exhibit instability, with deletion rates of 10⁻⁴ to 10⁻⁶ in some species like Yersinia pestis, potentially aiding survival under non-host conditions. Overall, PAIs underscore the role of genomic plasticity in bacterial pathogenesis, offering insights into therapeutic targets for disrupting virulence without affecting commensal bacteria.

Definition and History

Definition

Pathogenicity islands (PAIs) are discrete genomic regions, typically ranging from 10 to 200 kilobases (kb) in size, located within bacterial chromosomes or plasmids that encode clusters of genes essential for conferring pathogenic traits upon the host bacterium. These regions are acquired through (HGT) mechanisms and are characteristically absent from the genomes of nonpathogenic strains of the same or closely related species, distinguishing them as key contributors to bacterial . Unlike other types of genomic islands, such as metabolic islands that enhance utilization or islands that confer tolerance, PAIs are specifically dedicated to pathogenicity by encoding factors that facilitate , , and causation. This focused role on sets PAIs apart as a subclass of genomic islands, where the primary selective advantage lies in promoting rather than broader adaptive functions like or environmental resilience. PAIs are prevalent across diverse bacterial taxa, occurring in both Gram-negative and Gram-positive pathogens, and their integration contributes to the mosaic nature of bacterial genomes by introducing foreign DNA segments that enhance pathogenic potential. Common acquisition modes include phage-mediated , conjugation, and , which enable the horizontal dissemination of these clusters among bacterial populations.

Historical Discovery

The concept of pathogenicity islands emerged from observations in the 1980s of large, unstable chromosomal regions harboring clustered genes in bacterial pathogens. Early studies identified such genomic insertions in uropathogenic , where regions encoding toxins like the cytotoxic necrotizing factor (CNF) and fimbriae were noted for their instability and absence in non-pathogenic strains. Similar discoveries included the CTX phage in , a filamentous phage carrying genes, recognized as a horizontally acquired element contributing to by the mid-1980s. In species, iron acquisition systems like yersiniabactin were linked to large DNA segments in the mid-1990s, with the high-pathogenicity island (HPI) first described in 1996. The first PAI, designated PAI I of E. coli strain 536, was identified in 1989 as a 70 kb region encoding adhesins and hemolysin. The term "pathogenicity island" (PAI) was coined in 1990 by Jörg Hacker and colleagues during investigations of uropathogenic E. coli strain 536, where two large genomic regions (PAI I and PAI II) were found to encode multiple virulence factors, including hemolysins, adhesins, and toxins, and were absent from commensal E. coli. These islands were characterized by their large size (up to 200 kb), different GC content from the core genome, and association with tRNA loci, suggesting horizontal acquisition. Through the 1990s, the concept expanded with the identification of Salmonella pathogenicity islands (SPIs), starting with SPI-1 in the mid-1990s, which encodes a type III secretion system essential for invasion. A seminal 2000 review by Hacker and James B. Kaper formalized PAIs as genomic islands driving microbial evolution, emphasizing their role in virulence and sporadic distribution among pathogens. Post-2000 advancements in whole-genome sequencing accelerated PAI characterization, revealing multiple SPIs in (e.g., SPI-2 to SPI-5 in S. Typhi sequenced in 2001), which collectively enable systemic infection. The era highlighted PAIs' mobility via integrases and phages, with high-impact studies in the 2000s confirming their acquisition through . In the 2020s, next-generation sequencing (NGS) has uncovered PAIs in emerging pathogens, such as pathogenicity islands (LIPIs) in L. monocytogenes, aiding rapid identification in foodborne outbreaks. Early research focused predominantly on like E. coli and , with recognized later; for instance, staphylococcal pathogenicity islands (SaPIs) in , encoding superantigens and mobilized by helper phages, were detailed in the 2010s through functional genomic analyses. This shift broadened PAI studies to include diverse , underscoring their universal role in .

Structural and Genomic Characteristics

Key Properties

Pathogenicity islands (PAIs) exhibit distinct compositional biases that distinguish them from the core genome of their bacterial hosts, reflecting their acquisition through horizontal gene transfer. These include deviations in GC content, often differing by 5-10% from the surrounding genome (e.g., 41% in certain Escherichia coli PAIs compared to 51% in the core genome), atypical codon usage patterns indicative of foreign origin, and altered dinucleotide frequencies that deviate from expected values based on the host's sequence composition. In terms of size and gene density, PAIs typically span 10-200 kilobases and contain a high concentration of genes, often 20-50 per island with minimal intergenic regions, facilitating efficient encoding of clustered functions. For instance, the locus of enterocyte effacement (LEE) PAI in enteropathogenic E. coli encompasses approximately 35-43 kb with 41 open reading frames dedicated primarily to virulence-related processes. PAIs are frequently flanked by specific genomic elements that mark their boundaries and integration sites, such as tRNA genes (e.g., selC or leuX) and short direct repeats of 16-40 base pairs, which serve as signatures of insertion events. These flanking features, combined with associated mobility modules like integrases or transposons, underscore the islands' exogenous nature. Instability is a hallmark of PAIs, driven by cryptic mobility genes that promote frequent excision, deletion, or rearrangement, contributing to bacterial genomic plasticity; deletion rates can reach 10^{-3} per generation in some cases, such as the high-pathogenicity island (HPI) in Yersinia species. This instability often correlates with the presence of insertion sequences or phage-related elements within or adjacent to the island. Regarding location, are predominantly integrated into bacterial chromosomes, though they can also reside on plasmids or bacteriophages, with insertion often occurring at variable sites such as tRNA loci or skew switch points that exhibit replication bias. This variability allows to integrate without disrupting essential genes while enabling their dissemination across bacterial populations.

Mechanisms of Integration and Mobility

Pathogenicity islands (PAIs) are primarily acquired by through mechanisms, including phage-mediated lysogeny, conjugation via plasmids, and events. In phage-mediated acquisition, temperate bacteriophages integrate as s carrying genes, often using lambda-like integrases to facilitate lysogeny and subsequent for transfer. Conjugative plasmids contribute by mobilizing PAI-like elements through type IV secretion systems, while transposon-mediated jumps involve insertion sequences (IS elements) that enable excision and reintegration within the genome. These routes underscore the role of in PAI dissemination across bacterial populations. Integration of PAIs occurs preferentially at specific chromosomal sites, most commonly the 3' ends of tRNA or tmRNA genes, where conserved secondary structures promote site-specific recombination. This process is mediated by integrases, predominantly from the tyrosine recombinase family (e.g., lambda Int-like), which catalyze attP-attB site recombination, or less frequently serine integrases that form covalent bonds with DNA substrates. Direct repeats (DRs), typically 16-20 bp long, flank the integration site, enabling precise insertion and potential excision. Resolvase-mediated events, involving serine recombinases, further contribute to integration in some PAIs by resolving cointegrates during transposition. These mechanisms ensure stable incorporation while allowing for reversibility under certain conditions. Mobility within and between genomes is conferred by specific genetic elements encoded within PAIs. Conjugation-related tra genes, homologous to those in self-transmissible plasmids, facilitate intercellular transfer by assembling pore structures. IS elements and transposons promote intramolecular jumps and rearrangements, often amplifying instability. Excisionases, or recombination directionality factors (RDFs), work in concert with integrases to direct precise prophage-like excision, enabling reintegration or packaging into phage particles for . These elements collectively enable PAIs to act as dynamic modules in bacterial . PAI stability is maintained through flanking DRs that support accurate excision only under specific cues, preventing deleterious deletions, alongside counter-selection pressures in pathogenic niches where confers advantages. In non-pathogenic environments, the metabolic burden of virulence genes imposes counter-selection, favoring PAI loss at rates up to 10^{-3} per generation, often via between DRs or IS elements. Functional mobility genes can destabilize PAIs, but their repression in stable lineages enhances persistence. Certain PAIs, such as Genomic Island 1 (SGI1), harbor a class 1 facilitating cassette exchange of antibiotic resistance and genes. This mechanism allows modular adaptation, with integrase-mediated recombination enabling the capture and mobilization of gene cassettes, as observed in diverse clinical isolates. Such systems highlight the ongoing evolution of PAIs through cassette shuffling, distinct from classical phage or routes.

Virulence Functions

Encoded Virulence Factors

Pathogenicity islands (PAIs) encode a diverse of factors that enable to colonize hosts and evade defenses, primarily through genes clustered within these genomic regions. These factors include adhesins, such as fimbriae and pili, which facilitate bacterial attachment to host tissues; toxins, exemplified by Shiga-like toxins that disrupt cellular functions; secretion systems like Type III and Type VI, which deliver effectors directly into host cells; and effectors themselves, which modulate host immune responses or cytoskeletal dynamics. Such elements are often organized into multigenic operons, allowing coordinated expression of complete pathways. Beyond individual factors, frequently harbor gene clusters dedicated to iron acquisition systems, including biosynthesis and transport genes that scavenge host iron resources, and capsule biosynthesis operons that produce layers shielding from . Regulatory elements integrated within , such as two-component systems and quorum-sensing genes, fine-tune the expression of these components in response to environmental cues, ensuring timely activation during infection. For instance, pathogenicity island 1 (SPI-1) exemplifies a PAI encoding a and associated invasion machinery through such regulated operons.

Contribution to Pathogenesis

Pathogenicity islands (PAIs) encode factors that facilitate key stages of bacterial , including and , intracellular , and toxin-mediated tissue damage. During and , PAI-derived adhesins and invasins disrupt epithelial barriers, enabling bacterial attachment to mucosal surfaces and subsequent entry into tissues. For instance, type III secretion systems (T3SS) encoded by PAIs inject effectors that reorganize the actin cytoskeleton, promoting bacterial uptake by non-phagocytic cells. Intracellular is enhanced through mechanisms that evade , such as modifications to the Salmonella-containing that prevent fusion with lysosomes, allowing replication within cells. Toxin production from PAIs, including pore-forming hemolysins and genotoxins, induces , leading to and that aids bacterial dissemination. These contributions collectively transform avirulent strains into pathogens capable of establishing . PAIs also modulate immune responses to favor bacterial persistence. Effectors translocated via T3SS inhibit signaling pathways like , reducing pro-inflammatory production such as IL-8 and TNF-α, which dampens innate immunity and recruitment. Other PAI-encoded proteins alter profiles, promoting responses that suppress adaptive immunity and enable . In systemic infections, PAIs support niche adaptation by encoding iron acquisition systems that scavenge nutrients, while in toxin-producing scenarios, they enhance environmental persistence and damage. These interactions allow to subvert defenses, as seen in mechanisms that inhibit or promote formation for long-term survival. Clinically, PAI presence correlates with increased disease severity and epidemic potential, where loss or mutation of PAIs results in avirulent strains used in attenuated vaccines. For example, PAI instability can lead to reduced virulence in hypervirulent clones, impacting outbreak dynamics.

Examples

In Gram-Negative Bacteria

In Gram-negative bacteria, pathogenicity islands (PAIs) are prominent in pathogens such as Salmonella enterica, where at least five major islands (SPI-1 through SPI-5) have been identified, collectively spanning approximately 500 kb and encoding diverse virulence determinants essential for host colonization and survival. SPI-1, a 40 kb locus, facilitates bacterial invasion of intestinal epithelial cells through a type III secretion system (T3SS) regulated by the hilA master transcriptional activator, which coordinates the expression of effector proteins like SipA and SopE that trigger actin rearrangements in host cells. In contrast, SPI-2, approximately 49 kb in size, supports intracellular survival and systemic dissemination by encoding another T3SS that secretes effectors such as SifA and SseJ, enabling the formation and maintenance of a replicative niche within host macrophages. In uropathogenic Escherichia coli (UPEC) strains, such as the prototype isolate CFT073, PAIs contribute to urinary tract infections by harboring genes for toxin production and adhesion. PAI IICFT073, a 57 kb mosaic region integrated near a phenylalanyl-tRNA gene, includes the hlyCABD operon encoding α-hemolysin, a pore-forming toxin that lyses host erythrocytes and uroepithelial cells, promoting tissue damage and bacterial ascension to the kidneys. This island is prevalent in pyelonephritis-associated UPEC and enhances virulence by facilitating iron acquisition from lysed cells during infection. Vibrio cholerae, the causative agent of , exemplifies phage-derived PAIs that drive epidemic potential. The CTX phage integrates as a 4.9 kb island encoding the subunits ctxA and ctxB, which ADP-ribosylate Gsα to cause massive intestinal fluid secretion; this excises and propagates via a filamentous phage lifecycle, amplifying toxin dissemination in aquatic environments. Complementing this, the pathogenicity island-1 (VPI-1), a 39.5 kb integrative element flanked by direct repeats of a vasH homolog, encodes toxin-coregulated pili (TCP) via tcpA and tcpB, enabling formation and intestinal colonization as a critical early step in . In , a versatile opportunistic , pKLC102-like genomic islands promote acute infections through type III secretion effectors. These mobilizable islands, approximately 100 kb and integrated near tRNA genes, carry exoS and exoT, which encode bifunctional ADP-ribosyltransferases/guanosine exchange factors that disrupt host actin cytoskeleton, inhibit , and induce in lung epithelial cells during conditions like . Such islands exhibit high recombination rates, contributing to strain variability in clinical isolates.

In Gram-Positive Bacteria

In , pathogenicity islands (PAIs) often emphasize the production of potent exotoxins and superantigens that disrupt host immune responses and tissue integrity, differing from the more secretion-system-oriented islands in Gram-negative counterparts due to the thicker layer influencing toxin delivery. These genomic regions are typically integrated into the via phage-mediated mechanisms or stable loci, contributing to diseases ranging from skin infections to systemic toxemias. Key examples illustrate how such islands enhance in clinically significant pathogens. In Staphylococcus aureus, the SaPI (Staphylococcal Pathogenicity Island) family includes SaPIn1, SaPIn2, and SaPIn3, which are mobile elements approximately 15-16 kb in size that encode superantigens and exfoliative toxins. SaPIn1, integrating at the rsmA locus, carries genes for toxic shock syndrome toxin-1 (tst), enterotoxin C3 (sec3), and enterotoxin L (sel), enabling massive T-cell activation leading to toxic shock syndrome. SaPIn2 similarly integrates at rsmA and encodes enterotoxin B (seb) along with exfoliative toxin A (eta), promoting staphylococcal scalded skin syndrome through epidermal cleavage. SaPIn3, also ~15 kb, encodes multiple enterotoxins including G (seg), I (sei), M (sem), N (sen), and O (seo), as well as a bacteriocin and hyaluronate lyase, facilitating tissue invasion and immune evasion. These islands are mobilized by helper bacteriophages, such as phage 80α, underscoring their role in horizontal gene transfer among strains. Listeria monocytogenes harbors Listeria pathogenicity islands LIPI-1 and LIPI-2, each around 9-22 kb, which are critical for intracellular survival and host cell invasion. LIPI-1, stably integrated between the prs and orfX genes without obvious mobility elements, encodes listeriolysin O (hly), a pore-forming toxin essential for phagosomal escape, along with invasion-associated proteins like ActA (actA) for actin polymerization and phospholipases (plcA, plcB) regulated by PrfA. LIPI-2, approximately 22 kb and often acquired via phage integration from related species like L. ivanovii, includes sphingomyelinase (smcL) and internalin-like invasion proteins (i-inlF, i-inlE), enhancing epithelial cell entry in specific lineages such as serovar 4h. In , SPI-like chromosomal regions serve as pathogenicity islands encoding toxin genes associated with severe invasive diseases. These regions, often phage-integrated or part of ancient genomic islands, include the speG gene for G, a that mitogens T-cells and correlates with strains by amplifying storms and tissue destruction. Such islands, identified through sequencing of clinical isolates, also harbor M-protein genes (emm types) that antiphagocytic properties, distinguishing them as molecular switches for hypervirulence in group A streptococci. The Clostridium difficile PaLoc and CdiLoc represent toxin-centric pathogenicity islands pivotal to pseudomembranous colitis. PaLoc, a stable 19.6 kb locus inserted at sites like cdu1 or cdd1, encodes toxins A (tcdA, an enterotoxin causing fluid ) and B (tcdB, a cytotoxin disrupting ), flanked by regulatory genes tcdR (positive) and tcdC (negative). CdiLoc, a separate ~6.3 kb island for the binary toxin, includes cdtA and cdtB genes producing CDT-A and CDT-B subunits that ADP-ribosylate , enhancing ; in some hypervirulent strains like ribotype 027 variants, these are plasmid-borne, promoting dissemination beyond chromosomal integration.

Detection and Analysis

Computational Methods

Computational methods for detecting pathogenicity islands (PAIs) primarily rely on analyzing genomic sequences for anomalies indicative of , such as compositional biases and mobility elements. One widely used integrated platform is IslandViewer, which combines multiple algorithms to predict genomic islands, including PAIs, by integrating SIGI-HMM for detecting and IslandPath-DIMOB for identifying dinucleotide frequency deviations and mobility genes like tRNAs and integrases. SIGI-HMM employs a trained on ribosomal genes to score regions with atypical codon usage, flagging potential PAIs as those deviating significantly from the host genome's average. IslandPath-DIMOB further refines predictions by scanning for direct repeats and mobility-associated genes, such as integrases, which facilitate PAI insertion. Comparative genomics approaches complement sequence-based methods by identifying synteny disruptions where PAIs interrupt conserved gene order across related strains. Tools like IslandPick, part of IslandViewer, use bidirectional comparisons against closely related non-pathogenic genomes to detect regions absent in non-virulent relatives, highlighting PAI insertions. Alignment tools such as identify genomic rearrangements and breakpoints associated with PAIs, while visualization software like plots GC skew and content to reveal atypical regions often linked to acquired elements. For integrase-specific detection, PredictBias scans for phage integrase genes near tRNA loci, a common PAI integration site, using profile hidden Markov models to reduce false identifications. Machine learning techniques have advanced PAI prediction by integrating diverse features for more accurate boundary delineation. The PIPS software suite employs an integrative approach with on features like , dinucleotide bias, and presence to predict PAIs, outperforming single-method tools in benchmark tests on bacterial genomes. More recent developments include models that classify genomic segments using chi-square-tested features such as k-mer frequencies and transposase proximity, achieving higher precision in identifying islands amid core genomic regions. Neural network-based methods, such as , leverage convolutional networks pretrained on image data to detect compositional anomalies as "images" of genomic windows, improving sensitivity for small PAIs. Curated databases support these predictions by providing reference annotations for validation and training. PAIDB compiles experimentally verified and predicted from over 1,800 prokaryotic genomes, including details on associated genes and integration sites, enabling homology-based extension to new sequences. VFDB offers a comprehensive of bacterial factors, often encoded within , facilitating of predicted islands via searches against curated profiles. Integration with analyses, as in tools like Roary, allows comparative assessment of PAI distribution across strain collections, revealing accessory genome elements unique to pathogenic lineages. Despite these advances, computational PAI detection faces limitations, including false positives from essential genes with atypical composition or elements not linked to . Such errors arise particularly in highly variable genomes, where methods like SIGI-HMM may misclassify ribosomal clusters. Recent 2025 developments, such as DeepMobilome, apply to metagenomic reads for detecting (MGEs) in complex microbial communities, potentially aiding PAI identification by reducing false positives through context-aware MGE classification.

Experimental Methods

Pathogenicity islands (PAIs) are confirmed and characterized through targeted genetic manipulations that verify their genomic integration and functional contributions to bacterial . (PCR) amplification of PAI flanks, often targeting tRNA loci or direct repeats, enables precise delineation of island boundaries and detection in diverse strains; for example, PCR primers specific to the pathogenicity island 1 (SPI-1) and SPI-2 have been used to amplify and sequence these regions, confirming their G+C content deviations from the core . , including signature-tagged mutagenesis (STM), systematically disrupts PAI genes to generate loss-of-function mutants, revealing essential virulence roles; in , STM insertions within SPIs 1–5 identified over 40 genes critical for intestinal colonization and systemic spread, with mutants showing attenuated invasion in host models. Complementation assays, where mutated PAI genes are reintroduced via plasmids, restore phenotypes such as toxin secretion or host cell adhesion, as demonstrated in cag PAI mutants complemented for CagA translocation and IL-8 induction in gastric cells. Functional assays assess PAI-encoded factors' roles in pathogenesis through controlled infection models. In vitro invasion assays using epithelial cell lines, such as HeLa cells for SPI-1-dependent entry, quantify bacterial uptake by gentamicin protection; Salmonella strains with SPI-1 mutations exhibit over 90% reduced invasion compared to wild-type, highlighting type III secretion system (T3SS) effectors like SipA in actin remodeling. Animal models provide in vivo validation, with the mouse typhoid model evaluating SPI-2 contributions to intracellular survival and dissemination; SPI-2-deficient Salmonella Typhimurium mutants show 100-fold reduced spleen colonization in mice, underscoring SifA's role in Salmonella-induced filament formation within macrophages. These assays often integrate computational predictions to prioritize candidate PAIs for testing, ensuring empirical focus on high-confidence regions. Advanced sequencing and mapping techniques resolve PAI structures, particularly in repetitive genomic contexts. Long-read PacBio single-molecule real-time (SMRT) sequencing accurately assembles PAI sequences by spanning insertion sequences and direct repeats, as applied to uropathogenic papGII-containing islands, revealing 24-kb mobilizable elements with 200-fold enrichment in pathogenic strains. CRISPR-Cas9-based editing facilitates PAI excision by targeting flanking direct repeats or integrase sites, enabling clean deletion and phenotypic analysis; in , CRISPR-directed cleavage of a 100-kb PAI flanked by insertion sequences resulted in prophage-like excision, confirming mobility without off-target effects. Mobility studies employ assays to observe PAI transfer mechanisms, often mediated by phages or conjugative elements. Conjugation assays, using filter between donor and recipient strains, detect PAI dissemination via integrated plasmids; in , superantigen-carrying staphylococcal pathogenicity islands (SaPIs) transfer at frequencies up to 10^{-4} per donor, piggybacking on helper phages for broad-host-range mobility. Phage induction with triggers response-mediated excision and packaging of phage-inducible chromosomal islands (PICIs), quantifying transfer via plaque assays; in , induction of the VPI-2 PICI yields 10^6 transducing particles per milliliter, linking island mobilization to gene acquisition. Recent protocols from 2023–2025 integrate high-throughput for dynamic PAI analysis during . Single-cell sequencing (scRNA-seq) profiles heterogeneous PAI expression at the individual bacterial level within host tissues, revealing bistable SPI-1 transcription in -infected macrophages, where only 20–30% of cells express T3SS genes during early invasion. approaches, such as in intracellular , identify SPI-2 effectors modulating host metabolism; of SPI-2 mutants recovered from macrophages detected 4-fold upregulation of antioxidant enzymes like SodA in wild-type strains, attributing resistance to SseF-mediated endosomal remodeling. These methods provide granular insights into PAI regulation, complementing traditional techniques for therapeutic targeting.

Evolutionary Significance

Acquisition via Horizontal Gene Transfer

Pathogenicity islands (PAIs) are primarily acquired through (HGT) mechanisms that enable their dissemination across bacterial populations, often via specialized . Bacteriophages serve as key vectors, mediating the transfer of PAIs through , where viral particles package and deliver large DNA segments containing virulence gene clusters; for instance, in staphylococcal systems, phages like those in the SaPI family facilitate the mobilization of pathogenicity islands encoding superantigens. Plasmids contribute via conjugative transfer, utilizing type IV secretion systems to propagate PAIs or PAI-like elements that integrate into the chromosome, as seen in enterohemorrhagic Escherichia coli where virulence plasmids carry enterohemolysin genes alongside island components. Integrative conjugative elements (ICEs), also known as conjugative transposons, represent another major vector, integrating into the host genome and enabling self-transfer of PAIs through excision and conjugation, with examples including the high-pathogenicity island (HPI) in species that spreads via ICE-mediated mechanisms. The frequency of PAI acquisition via HGT is elevated in biofilms and polymicrobial environments, where close bacterial proximity and reduced barriers promote conjugation and rates up to several orders of magnitude higher than in planktonic states. In such settings, like host-associated microbiomes, polymicrobial interactions further facilitate and ICE transfer, enhancing PAI dissemination under selective pressures. However, barriers such as restriction-modification () systems limit HGT efficiency by cleaving incoming foreign DNA, acting as a primary defense that restricts PAI integration unless the donor and recipient share compatible RM profiles. Genomic evidence for PAI HGT includes phylogenetic incongruence, where PAI gene trees diverge from core genome phylogenies, indicating recent lateral acquisition rather than vertical ; this pattern is evident in analyses of diverse bacterial pathogens. Recent 2025 studies on have demonstrated inter-serovar transfer of genes like fliC and misL via phage-mediated , with viral sequences encoding these genes identified across 89,871 strains from multiple serovars, underscoring ongoing HGT dynamics. PAIs frequently co-acquire antibiotic resistance genes, forming composite elements that confer dual selective advantages and promote their spread under antimicrobial pressure; for example, in clinical E. coli isolates, PAIs integrate resistance cassettes alongside loci, driving HGT in antibiotic-exposed environments. Globally, PAI is markedly higher in clinical isolates compared to environmental ones, reflecting intensified HGT in host-pathogen interfaces, as observed in comparative genomic surveys of E. coli pathotypes where clinical strains harbor more PAI variants linked to and production.

Role in Bacterial Evolution and Adaptation

Pathogenicity islands (PAIs) serve as critical hotspots for gene innovation in bacterial genomes, facilitating the acquisition of novel virulence factors through horizontal gene transfer and enabling rapid evolutionary adaptation to new environments and hosts. For instance, in Yersinia species, the high-pathogenicity island (HPI) encodes a siderophore-dependent iron uptake system that enhances virulence and supports host jumps, such as from rodents to humans, by providing a selective advantage in iron-limited niches during infection. This mechanism underscores how PAIs drive speciation and diversification, as seen in Salmonella enterica, where over 24 SPIs acquired across millions of years have shaped host-specific traits, including invasion and survival capabilities that promote lineage divergence. Recombination events within PAIs often result in mosaic structures that generate hybrid virulence profiles, allowing bacteria to fine-tune pathogenicity while evading host defenses. In Vibrio cholerae, the Vibrio pathogenicity island-2 (VPI-2) exhibits a mosaic architecture formed by homologous recombination, integrating diverse cargo genes that enhance toxin production and environmental persistence, with similar patterns observed in intraspecies exchanges among natural isolates. Conversely, loss of PAIs in commensal strains, such as certain non-pathogenic Escherichia coli lineages, reflects evolutionary trade-offs where reduced virulence improves fitness in host microbiomes by minimizing immune activation costs. These dynamics highlight PAIs' role in genomic plasticity, where recombination not only spreads virulence but also contributes to the erosion of pathogenicity in non-host-adapted populations. Ecologically, bolster bacterial persistence in diverse niches, including zoonotic transmission and competition, by encoding traits like adhesins and metabolic modules that confer competitive edges. In , SPIs facilitate zoonotic spillover from animals to humans by enabling systemic infection and immune modulation across host barriers, while in plant pathogens like , GIs improve fitness through nutrient scavenging, indirectly aiding environmental reservoirs for human exposure. Within , PAIs-linked siderophores and provide advantages in resource competition, as evidenced in species where genomic islands correlate with dominance in polymicrobial communities. Recent 2024–2025 reviews emphasize PAIs' involvement in climate-driven pathogen emergence, particularly for Vibrio species in warming oceans, where temperature shifts expand ranges of PAI-bearing strains like V. parahaemolyticus, increasing outbreak risks through enhanced virulence gene expression under elevated salinities and temperatures. These islands also mediate co-evolution with host immunity, as in Yersinia where HPI variants adapt to mammalian immune pressures, fostering arms-race dynamics that propagate resistant lineages. Broader implications include PAIs' linkage to antibiotic resistance genes, driving pandemics like those of multidrug-resistant Klebsiella pneumoniae, where islands co-harbor virulence and resistance cassettes, accelerating global dissemination via HGT. Notably, gaps persist in understanding PAIs in non-pathogenic bacteria, where they may silently contribute to ecological resilience without overt virulence.

References

  1. [1]
    Pathogenicity Islands in Bacterial Pathogenesis - PubMed Central
    Pathogenicity Islands (PAI) are mobile genetic elements essential for virulence in bacterial pathogens, found in pathogenic but not non-pathogenic bacteria.
  2. [2]
    Pathogenicity islands: a molecular toolbox for bacterial virulence
    Aug 24, 2006 · Pathogenicity islands (PAIs) are distinct genetic elements on the chromosomes of a large number of bacterial pathogens.Pathogenicity islands · Acquisition of PAIs · Origin of PAIs · Contribution to virulence
  3. [3]
    Identifying Pathogenicity Islands in Bacterial Pathogenomics Using ...
    In this review, we will discuss various pathogenicity island-associated features and current computational approaches for the identification of PAIs.
  4. [4]
    Pathogenicity Islands in Bacterial Pathogenesis - ASM Journals
    Hacker and colleagues showed that deletion of a PAI led to a nonpathogenic phenotype of E. coli strain 536, and it has been suggested that such deletions are a ...
  5. [5]
    14.1C: Pathogenicity Islands and Virulence Factors
    Nov 23, 2024 · PAIs are transferred through horizontal gene transfer events such as transfer by a plasmid, phage, or conjugative transposon. PAIs carry genes ...
  6. [6]
    Identifying Pathogenicity Islands in Bacterial Pathogenomics Using ...
    Jan 13, 2014 · In this review, we will discuss various pathogenicity island-associated features and current computational approaches for the identification of PAIs.
  7. [7]
  8. [8]
  9. [9]
    Pathogenicity islands: a molecular toolbox for bacterial virulence
    PAIs encode various virulence factors and are normally absent from non-pathogenic strains of the same or closely related species.
  10. [10]
    The Role of Genomic Islands in the Pathogenicity and Evolution of ...
    ICEclc and its homologs represent integrative and mobilizable elements whose tightly regulated excision and transfer are driven by a specialized transcriptional ...
  11. [11]
  12. [12]
    Within-host evolution of bacterial pathogens during persistent ...
    Many bacterial pathogens can form persistent infections, providing an infectious reservoir, which allows for infection of new hosts.
  13. [13]
    Variation between Pathogenic Serovars within Salmonella ...
    At least five pathogenicity islands (SPI-1 to -5) have been found in a range of serovars of Salmonella enterica, with a further five islands with ...
  14. [14]
    Virulence potential of five major pathogenicity islands (SPI-1 to SPI ...
    Dec 19, 2009 · SPI-1 and SPI-2 are the two most important pathogenicity islands of Salmonella Enteritidis required for the colonisation of systemic sites in ...
  15. [15]
    Extensive mosaic structure revealed by the complete genome ...
    We present here the genome sequence of E. coli CFT073, a pathogenic strain isolated from the blood of a woman with acute pyelonephritis.
  16. [16]
    CTX phage of Vibrio cholerae: Genomics and applications
    Feb 29, 2020 · CTXϕ types, countries of origin, and the year of isolation of V. cholerae strains are shown in the right margin. Arrows and their directions ...
  17. [17]
    A Vibrio cholerae pathogenicity island associated with epidemic and ...
    The bacterial species Vibrio cholerae includes harmless aquatic strains as well as strains capable of causing epidemics and global pandemics of cholera.Missing: early | Show results with:early
  18. [18]
    Sequence Analysis of the Mobile Genome Island pKLC102 of ... - NIH
    The case of pKLC102 in P. aeruginosa clone C documents the intraclonal evolution of a genome island from a mobile ancestor via a reversibly integrated state.
  19. [19]
    The Accessory Genome of Pseudomonas aeruginosa - ASM Journals
    Dec 1, 2010 · pKLC102 was the first P. aeruginosa genomic island shown to be mobilizable, and it is now known to have an unusually high spontaneous ...
  20. [20]
    Genomic characterization of Vibrio cholerae isolated from clinical ...
    Jul 7, 2025 · Pathogenic potential of environmental Vibrio cholerae strains carrying genetic variants of the toxin-coregulated pilus pathogenicity island.
  21. [21]
    Comparative pan-genomic analysis reveals pathogenic ... - NIH
    Apr 10, 2025 · This study initially examines the infection characteristics of V. parahaemolyticus, and subsequently employs pan-genomic analysis to identify genes that ...
  22. [22]
    Vibrio cholerae endemic to the lower Rio Grande Delta segregate ...
    Jul 2, 2025 · Seven isolates were recovered from an urban segment of the Rio Grande and six from a rural segment where the river empties into the Gulf of Mexico.
  23. [23]
    IslandViewer: an integrated interface for computational identification ...
    IslandViewer is a web accessible application that provides the first user-friendly interface for obtaining precomputed GI predictions.2 Implementation · 2.1 Genome Data Source And... · 2.2 Genomic Island...
  24. [24]
    Islandviewer 4 - Genomic Island Prediction ... - pathogenomics.sfu.ca
    IslandViewer 4 | An integrated interface for computational identification and visualization of genomic islands.
  25. [25]
    Comparative Analysis of Genomic Island Prediction Tools - Frontiers
    Dec 11, 2018 · The goal of this study was to qualitatively and quantitatively evaluate extant genomic island predictors. We chose tools reported to produce significant ...
  26. [26]
    PIPS: Pathogenicity Island Prediction Software | PLOS One
    We developed software (PIPS) that accurately identifies pathogenicity islands; it is easy to install, which makes it accessible even to researchers with little ...<|separator|>
  27. [27]
    Genomic Island Prediction via Chi-Square Test and Random Forest ...
    May 24, 2021 · In this paper, we present a scheme to predict genomic islands using the chi-square test and random forest algorithm.
  28. [28]
    Identifying genomic islands with deep neural networks
    Jun 2, 2021 · We present a method (Shutter Island) that uses deep neural networks, previously trained on computer vision tasks, for the detection of genomic islands.
  29. [29]
    PAthogenisity Island DataBase (PAI DB)
    PAIDB is a web-based user-friendly resource and has been widely used for detecting PAIs in newly sequenced genomes and mining virulence genes from metagenome.
  30. [30]
    VFDB: Virulence Factors of Bacterial Pathogens
    The virulence factor database (VFDB) is an integrated and comprehensive online resource for curating information about virulence factors of bacterial pathogens.VFDB: database search · Escherichia · Staphylococcus
  31. [31]
    MTGIpick allows robust identification of genomic islands from a ...
    Dec 26, 2016 · IslandPick has been integrated into Islandviewer website, where pre-computed data sets of GIs can be downloaded [19, 20]. In addition, ...
  32. [32]
  33. [33]
    Signature tagged mutagenesis in the functional genetic analysis of ...
    A large proportion (n = 40) of the mutated genes were within Salmonella pathogenicity islands (SPIs 1–5). All of the mutants with a transposon insertion in SPI- ...
  34. [34]
    Regulation of Salmonella enterica pathogenicity island 1 (SPI‐1) by ...
    Dec 20, 2013 · Invasion assays in HeLa epithelial cells. HeLa human epithelial cells (ATCC CCL2) were grown in Dulbecco's modified Eagle medium (DMEM) ...
  35. [35]
    Salmonella enterica Serovar Typhimurium Pathogenicity Island 2 Is ...
    The prevailing view is that SPI1 is necessary for cell invasion and essential for intestinal disease, while SPI2 is required for intracellular survival and ...Missing: paper | Show results with:paper
  36. [36]
    Horizontally acquired papGII-containing pathogenicity islands ...
    Nov 24, 2020 · Twenty-four isolates (Supplementary Data 5) were additionally sequenced using single-molecule real-time (SMRT) technology (Pacific Biosciences).
  37. [37]
    CRISPR-based screening of genomic island excision events in ... - NIH
    Jun 15, 2015 · This study shows that CRISPR-Cas systems can be directed to target and delete genomic islands that are flanked by insertion-sequence elements ...
  38. [38]
    Dual pathogenicity island transfer by piggybacking lateral transduction
    Aug 3, 2023 · We report that superantigen-carrying staphylococcal pathogenicity islands (SaPIs) employ a related but more versatile and complex mechanism of gene transfer.
  39. [39]
    Bacteriophages benefit from mobilizing pathogenicity islands ...
    Aug 18, 2022 · Our results demonstrate that phages can mobilize PICI-encoded immunity systems to use them against other mobile genetic elements.Missing: review | Show results with:review
  40. [40]
    Single-Cell RNA Sequencing to Study Salmonella Infection
    Aug 11, 2022 · These methods have revealed new insights into S. Typhi infections and provided clues about heterogeneity in both host cells and bacteria.Missing: review | Show results with:review
  41. [41]
    Proteomics of intracellular Salmonella enterica reveals roles of ...
    Apr 22, 2019 · Proteomics of intracellular Salmonella enterica reveals roles of Salmonella pathogenicity island 2 in metabolism and antioxidant defense.
  42. [42]
    Phage-mediated horizontal gene transfer and its implications ... - NIH
    Apr 13, 2022 · Phage transduction is a type of HGT event in which a bacteriophage transfers non-viral DNA from one bacterial host cell to another.
  43. [43]
    Integrative and Conjugative Elements (ICEs): What They Do ... - NIH
    Once in a new host, these mobilizable genomic islands are capable of independently integrating into the chromosome.Missing: excisionases | Show results with:excisionases
  44. [44]
    Horizontal Gene Transfer of Antibiotic Resistance Genes in Biofilms
    ARGs can be rapidly transferred through horizontal gene transfer (HGT) which has been shown to occur more frequently in biofilms than in planktonic cultures.
  45. [45]
    The Complex Relationship between Virulence and Antibiotic ... - MDPI
    The majority of acquired antibiotic resistance is propagated through horizontal or lateral gene transfer between bacteria often due to the polymicrobial nature ...
  46. [46]
    Restriction-modification systems have shaped the evolution and ...
    Restriction-modification systems (R-M systems) are by far the most abundant bacterial defense system and therefore represent one of the key barriers to plasmid ...
  47. [47]
    The power of phylogenetic approaches to detect horizontally ...
    Mar 21, 2007 · Horizontal gene transfer plays an important role in evolution because it sometimes allows recipient lineages to adapt to new ecological niches.
  48. [48]
    Phage‐mediated horizontal transfer of Salmonella enterica ...
    May 20, 2025 · Phage-mediated horizontal transfer of virulence genes can enhance the transmission and pathogenicity of Salmonella enterica (S. enterica), ...Abstract · INTRODUCTION · RESULTS · DISCUSSION
  49. [49]
    Horizontal gene transfer contributes to virulence and antibiotic ...
    Oct 22, 2019 · Virulence factors and antibiotic-resistance genes (ARGs) can also be vertically transferred and spread via horizontal gene transfer (HGT) ...
  50. [50]
    Virulence Characteristics, Serotyping and Phylogenetic Typing of ...
    This study was performed to compare phylogeny, virulence factors, pathogenicity islands (PAIs), and pathotypes in- between clinical and environmental E. coli ...
  51. [51]
    The Yersinia high-pathogenicity island (HPI): evolutionary ... - PubMed
    The Yersinia high-pathogenicity island (HPI): evolutionary and functional aspects. Int J Med Microbiol. 2004 Sep;294(2-3):83-94.
  52. [52]
  53. [53]
  54. [54]
  55. [55]
  56. [56]
    High genomic diversity of Vibrio parahaemolyticus from ... - NIH
    Oct 27, 2025 · A clinical gastrointestinal isolate contained the pathogenicity island VPaI-ß, including the haemolysin toxin gene trh with the toxin displaying ...
  57. [57]
    Unveiling Genomic Islands Hosting Antibiotic Resistance Genes and ...
    Jul 15, 2025 · Both GIs carried the xerC integrase gene (Figure 6), a marker of horizontal transfer potential, consistent with their proposed role in ...
  58. [58]