Abstract
Ixodes scapularis, commonly known as the deer tick, transmits a wide array of human and animal pathogens including Borrelia burgdorferi. Despite substantial advances in our understanding of immunity in model arthropods, including other disease vectors, precisely how I. scapularis immunity functions and influences persistence of invading pathogens remains largely unknown. This review provides a comprehensive analysis of the recently sequenced I. scapularis genome for the occurrence of immune-related genes and related pathways. We will also discuss the potential influence of immunity-related genes on the persistence of tick-borne pathogens with an emphasis on the Lyme disease pathogen B. burgdorferi. Further enhancement of our knowledge of tick immune responses is critical to understanding the molecular basis of the persistence of tick-borne pathogens and development of novel interventions against the relevant infections.
Introduction
Although several hundred tick species are known to exist (Jongejan and Uilenberg, ), only a handful transmit human diseases. Ixodes scapularis is one of the predominant tick species that spread a wide array of serious human and animal pathogens, including Borrelia burgdorferi, which causes Lyme borreliosis (Burgdorfer et al., ; Anderson, ). Our understanding of arthropod innate immune responses, primarily involving the fruit fly and mosquito, has advanced over the past decades (Vilmos and Kurucz, 1998). However, our knowledge of tick immune responses, especially the occurrence of immune-related genes, pathways, and specifically how these components respond to invading pathogens remains under-explored. Notably, many pathogens that persist in and transmit through ticks are evolutionarily distinct and possess unique structures (Hajdusek et al., ). For example, key pattern recognition molecules (PAMPs), such as peptidoglycan (PG) and lipopolysaccharides (LPS), are structurally different or completely absent, respectively, in major tick-borne pathogens, such as in B. burgdorferi (Schleifer and Kandler, 1972; Takayama et al., 1987; Fraser et al., ). Thus, the wealth of knowledge generated in other model arthropods, especially regarding the genesis of host immune responses against classical Gram-positive or Gram-negative bacterial pathogens, might not be readily applicable for tick-borne pathogens, like B. burgdorferi. The primary goal of this review is to present a general overview of tick immune components, as gathered from the sequenced genome and published data, and discuss their potential for modulating infection, with a focus on a major tick-borne pathogen, B. burgdorferi. A better understanding of the I. scapularis immune response to invading pathogens could contribute to the development of new strategies that interfere with relevant pathogen persistence and transmission.
While a number of studies detailed characterization of I. scapularis proteins, predominantly salivary gland proteins, that influence immunity and pathogen persistence in the vertebrate hosts (Wikel, 1996; Das et al., ; Gillespie et al., ; Narasimhan et al., , , ; Hovius et al., ; Dai et al., ; Pal and Fikrig, ; Kung et al., ), relatively limited information is available on how tick proteins shape vector immunity and influence pathogen persistence. In order to generate a list of tick immune genes and related pathways, we sought to perform a comprehensive analysis of the recently sequenced I. scapularis genome data that are available through several publicly accessible databases (Hill and Wikel, ; Pagel Van Zee et al., ). To accomplish this, we initially searched the National Institute of Allergy and Infectious Diseases Bioinformatics Resource Center (www.vectorbase.org) for annotated I. scapularis immune-related genes. In addition, we also reviewed the relevant literature to identify additional innate immune genes, including those discovered in related tick species (Rudenko et al., 2005) or in fruit fly, mosquito, and mammalian genomes (Sonenshine, 1993; Hoffmann et al., ; Dimopoulos et al., ; Christophides et al., ; Hoffmann and Reichhart, ; Janeway and Medzhitov, ; Govind and Nehm, ; Osta et al., ; Saul, 2004; Tanji and Ip, 2005; Dong et al., ; Ferrandon et al., ; Tanji et al., 2007; Jaworski et al., ; Kopacek et al., ; Yassine and Osta, 2010; Valanne et al., 2011). The latter information was then used to search for possible Ixodes orthologs via BLASTP against the VectorBase database. In total, 234 genes were identified and categorized into one of the following nine major immune pathways or components (number of unique genes): gut-microbe homeostasis (17), agglutination (37), leucine-rich repeat (LRR) proteins (21), proteases (33), coagulation (11), non-self recognition and signal transduction via Toll, IMD, and JAK-STAT pathways (55), free radical defense (13), phagocytosis (33), and anti-microbial peptides (14). These genes are listed in Tables 1–9; unless stated otherwise, all annotations are based on the VectorBase database. We recognize that although our list might not be comprehensive as there might be additional published data inadvertently overlooked in our literature/database searches or yet-to-be identified genes involved in tick immune defense, we believe that it still represents the majority of genes that are potentially involved in the tick immune response. In the following sections, occurrence of these components and pathways are systematically discussed for their occurrence in the tick genome; we also highlighted their potential influence on the persistence and transmission of tick-borne pathogens like B. burgdorferi.
Table 1
| Annotation | Accession number |
|---|---|
| Dual oxidase | ISCW007865 |
| Phospholipid-hydroperoxide glutathione peroxidase, putative | ISCW019584 |
| Phospholipid-hydroperoxide glutathione peroxidase, putative | ISCW022517 |
| Glutathione peroxidase, putative | ISCW020571 |
| Peroxidase | ISCW017070 |
| Peroxidase | ISCW022537 |
| Glutathione peroxidase, putative | ISCW008495 |
| Oxidase/peroxidase, putative | ISCW002528 |
| Phospholipid-hydroperoxide glutathione peroxidase, putative | ISCW015098 |
| Oxidase/peroxidase, putative | ISCW017368 |
| Oxidase/peroxidase, putative | ISCW005828 |
| Peroxidase | ISCW024650 |
| Glutathione peroxidase, putative | ISCW020569 |
| Oxidase/peroxidase, putative | ISCW018825 |
| Peroxidase | ISCW013159 |
| Thioredoxin peroxidase, putative | ISCW013767 |
| Glutathione peroxidase, putative | ISCW001759 |
Gut-microbe homeostasis.
Table 2
| Annotation | Accession number |
|---|---|
| Ferritin | ISCW015079 |
| Beta-galactosidase | ISCW000651 |
| Ubiquitin associated domain containing protein | ISCW023764 |
| Chitin bindin peritrophin A | ISCW006076 |
| Beta-galactosidase precursor | ISCWOI9676 |
| galectin, putative | ISCW008553 |
| Manose binding ER-golgi comparment lectin | ISCW016179 |
| Ixoderin precursor | ISCW002664 |
| Ixoderin precursor | ISCW022063 |
| Ixoderin B | ISCW013797 |
| Ixoderin B | ISCW003711 |
| Hemelipoglycoprotein precursor | ISCW012423 |
| Ferritin | ISCW023334 |
| galectin, putative | ISCW020268 |
| Beta-galactosidase | ISCW019681 |
| Beta-galactosidase precursor | ISCW019677 |
| Beta-galactosidase precursor | ISCW019679 |
| Beta-galactosidase precursor | ISCW0l6637 |
| Hemelipoglycoprotein precursor | ISCW024299 |
| fatty acyl-CoA elongase, putative | ISCW010899 |
| Galectin | ISCW020268 |
| Ixoderin Precursor | ISCW024686 |
| Hemelipoglycoprotein precursor | ISCW0l2424 |
| Sodium/proton exchanger | ISCW008652 |
| C-Type Lectin, Putative | ISCW010467 |
| Ixoderin Precursor | ISCW013746 |
| Double sized immunoglobulin g binding protein A | ISCW021766 |
| Galectin | ISCW008553 |
| Hemelipoglycoprotein precursor | ISCW021704 |
| Beta-galactosidase precursor | ISCW019678 |
| Lectin, Putative | ISCW012623 |
| Galectin | ISCW020586 |
| Hemelipoglycoprotein precursor | ISCW014675 |
| Hemelipoglycoprotein precursor | ISCW021709 |
| Ixoderin precursor | ISCW012248 |
| Ubiquitin associated and SH3 domain containing protein B | ISCW02l035 |
| Galectin, putative | ISCW020586 |
Agglutination.
Table 3
| Annotation | Accession number |
|---|---|
| Lumicans | ISCW001027 |
| LRR (in flii) interacting protein | ISCW016609 |
| Lumicans | ISCW005645 |
| F-Box/LRR protein, putative | ISCW000110 |
| F-Box/LRR protein, putative | ISCW010598 |
| F-Box/LRR protein, putative | ISCW010597 |
| F-Box/LRR protein, putative | ISCW010599 |
| LRR protein, putative | ISCW008095 |
| LRR protein | ISCW014626 |
| F-Box/LRR protein, putative | ISCW010347 |
| F-Box/LRR protein, putative | ISCW005273 |
| LRR and NACHT domain containing protein | ISCW004678 |
| LRR and NACHT domain containing protein | ISCW001292 |
| LRR protein | ISCW012038 |
| F-Box/LRR protein, putative | ISCW016452 |
| F-Box/LRR protein, putative | ISCW018961 |
| F-Box/LRR protein, putative | ISCW013925 |
| LRR containing G-protein coupled receptor | ISCW015788 |
| F-Box/LRR protein, putative | ISCW018134 |
| F-Box/LRR protein, putative | ISCW008236 |
| LRR protein, putative | ISCW003174 |
Leucine-rich repeat (LRR) proteins.
Table 4
| Annotation | Accession number |
|---|---|
| Serpin 4 precursor | ISCW023622 |
| Serpin 2 precursor | ISCW010422 |
| Serpin 2 precursor | ISCW018607 |
| Serpin 1 precursor | ISCW023618 |
| Serpin 7 precursor | ISCW024109 |
| PAP associated domain containing protein | ISCW014870 |
| Serpin 7 precursor | ISCW009616 |
| Serine proteinase inhibitor serpin-3 | ISCW015204 |
| Heparan sulfate 2-O sulfotransferase, putative | ISCW000208 |
| Secreted salivary gland peptide | ISCW023621 |
| Serpin | ISCW016489 |
| Hypothetical protein | ISCW017929 |
| Secreted salivary gland peptide | ISCW023620 |
| Serpin 4 precursor | ISCW023623 |
| Protein disulfide isomerase 1 | ISCW002080 |
| Alkaline phosphatase | ISCW023785 |
| Alkaline phosphatase | ISCW003801 |
| Alkaline phosphatase | ISCW004677 |
| Hypothetical protein | ISCW021544 |
| Zinc metalloprotease | ISCW008637 |
| Zinc metalloprotease | ISCW005798 |
| Zinc metalloprotease | ISCW005687 |
| Zinc metalloprotease | ISCW005854 |
| Serpin 8 precursor | ISCW014652 |
| Serpin | ISCW014100 |
| Zinc metalloprotease | ISCW012815 |
| Conserved hypothetical protein | ISCW006169 |
| Serpin 8 precursor | ISCW015349 |
| Zinc metalloprotease | ISCW021286 |
| Serpin 2 precursor | ISCW021417 |
| Serpin 2 precursor | ISCW014779 |
| Secreted serine protease | ISCW014551 |
| Alkaline phosphatase | ISCW000162 |
Proteases/Protease inhibitors.
Table 5
| Annotation | Accession number |
|---|---|
| Proclotting enzyme precursor | ISCW013112 |
| Thrombin inhibitor | ISCW000427 |
| Proclotting enzyme precursor | ISCW000320 |
| Proclotting enzyme precursor | ISCW011206 |
| Proclotting enzyme precursor | ISCW001322 |
| Keratinocyte transglutaminase | ISCW019475 |
| Proclotting enzyme precursor | ISCW011961 |
| Proclotting enzyme precursor | ISCW003779 |
| Proclotting enzyme precursor | ISCW010999 |
| Prostate-specific transglutaminase | ISCW009303 |
| Prostate-specific transglutaminase | ISCW011739 |
Coagulation.
Table 6
| Annotation | Accession number |
|---|---|
| Regulator of ubiqutin pathway, putative | ISCW015648 |
| NF-kappaB inhibitor IkappaB, putative | ISCW007030 |
| Peptidoglycan recognition receptor protein | ISCW022212 |
| Embryonic polarity dorsal, putative | ISCW000140 |
| Ankyrin repeat-containing protein | ISCW018861 |
| Peptidoglycan recognition receptor protein | ISCW024175 |
| Netrin receptor DSCAM | ISCW016844 |
| Netrin receptor DSCAM | ISCW016100 |
| Caspase, apoptotic cysteine protease, putative | ISCW003039 |
| Netrin receptor DSCAM | ISCW020406 |
| Peptidoglycan recognition receptor protein | ISCW004389 |
| Netrin receptor DSCAM | ISCW022828 |
| Scavenger receptor class B | ISCW003371 |
| Scavenger receptor class B | ISCW010934 |
| Scavenger receptor class B | ISCW002412 |
| Netrin receptor DSCAM | ISCW003295 |
| UBX domain-containing protein, putative | ISCW011870 |
| NF-kappaB inhibitor IkappaB, putative | ISCW019520 |
| Nuclear factor nf-kappa-B P105 subunit, putative | ISCW018935 |
| Peptidoglycan recognition receptor protein | ISCW024689 |
| N-CAM Ig domain containing protein | ISCW022144 |
| Toll | ISCW018193 |
| Secreted protein, putative | ISCW021005 |
| Secreted protein, putative | ISCW024521 |
| Toll | ISCW018363 |
| Serine-threonine protein kinase, plant-type, putative | ISCW001463 |
| Toll | ISCW004495 |
| Toll | ISCW020989 |
| Spatzle | ISCW022569 |
| Fibrinogen | ISCW009412 |
| Tartan protein, putative | ISCW016292 |
| Secreted protein, putative | ISCW024389 |
| Toll | ISCW007724 |
| Toll | ISCW007726 |
| Myd88, putative | ISCW008802 |
| Fibrinogen | ISCW009412 |
| Toll | ISCW009512 |
| Toll | ISCW022740 |
| Serine/threonine protein kinase | ISCW020049 |
| Toll | ISCW017724 |
| Tartan protein, putative | ISCW021508 |
| Kekkon 1, putative | ISCW018006 |
| Toll | ISCW020221 |
| Tolkin | ISCW022120 |
| Membrane glycoprotein LIG-1, putative | ISCW005558 |
| Slit Protein | ISCW018651 |
| Toll | ISCW008289 |
| Adenylate cyclase | ISCW012040 |
| Toll | ISCW006897 |
| Fibrinogen | ISCW024309 |
| Toll | ISCW007727 |
| Spatzle | ISCW022732 |
| Fibrinogen | ISCW001478 |
| JAK | ISCW016158 |
| STAT 3 | ISCW005692 |
Non-self recognition (Toll, IMD, and JAK-STAT pathways).
Table 7
| Annotation | Accession number |
|---|---|
| Manganese superoxide dismutase | ISCW016585 |
| Superoxide dismutase | ISCW015027 |
| Manganese superoxide dismutase | ISCW016737 |
| Superoxide dismutase Cu-Zn | ISCW012382 |
| Nitric oxide synthase interacting protein, putative | ISCW017590 |
| Superoxide dismutase | ISCW018077 |
| Superoxide dismutase | ISCW024422 |
| Cu2+/Zn2+ superoxide dismutase SODI | ISCW011852 |
| Manganese superoxide dismutase | ISCW012767 |
| Superoxide dismutase Cu-Zn | ISCW008219 |
| Ras responsive element binding protein | ISCW009132 |
| Decarboxylase | ISCW021675 |
| Nitric oxide synthase | ISCW018074 |
Free radical defense.
Table 8
| Annotation | Accession number |
|---|---|
| Integrin beta-3 | ISCW024103 |
| Cadherin- repeats domain containing protein | ISCW013741 |
| Rho GTPase activating protein | ISCW015851 |
| Protocadherin fat | ISCW017319 |
| Thioester containing protein | ISCW020822 |
| Cadherin | ISCW005817 |
| Rho GTPase activating protein | ISCW015201 |
| Protocadherin beta-6 | ISCW016805 |
| Integrin alpha-ps | ISCW005672 |
| GTPase Rho | ISCW004349 |
| Rho guanine nucleotide exchange factor | ISCW014238 |
| GTPase Rho | ISCW004348 |
| Protocadherin fat | ISCW016765 |
| Rho GTPase activating protein RICH2 | ISCW003282 |
| Integrin alpha | ISCW003186 |
| Integrin beta-3 | ISCW010037 |
| GTPase Rho | ISCW006741 |
| Rho GTPase activating protein | ISCW003559 |
| Integrin beta subunit | ISCW008948 |
| p116 Rho-interacting protein | ISCW007121 |
| Integrin alpha repeat domain containing protein | ISCW019648 |
| Rho GTPase activating protein | ISCW018998 |
| Rho guanine exchange factor | ISCW008875 |
| Rho | ISCW002009 |
| Integrin alpha-ps | ISCW022321 |
| Rho GTPase activating protein | ISCW019271 |
| GTPase Rho | ISCW018929 |
| Rho GTPase activating protein | ISCW001560 |
| Rho GDP dissociation inhibitor | ISCW020878 |
| Rho associated kinase | ISCW011682 |
| GTPase Rho | ISCW015794 |
| Integrin beta subunit | ISCW002553 |
| Integrin alpha | ISCW003185 |
Phagocytosis.
Table 9
| Annotation | Accession number |
|---|---|
| Putative secreted salivary gland peptide | ISCW005928 |
| Secreted protein, putative | ISCW018425 |
| Secreted salivary gland peptide | ISCW002695 |
| TAK 1 putative | ISCW009364 |
| Secreted salivary gland peptide | ISCW001310 |
| Beta transducin Trp-Asp domain containing protein | ISCW014204 |
| Map kinase activating death domain protein | ISCW017494 |
| Secreted salivary gland peptide | ISCW018541 |
| Defensin | ISCW022102 |
| Preprodefensin putative | ISCW016747 |
| Secreted salivary gland peptide | ISCW002331 |
| Secreted salivary gland peptide | ISCW016466 |
| Secreted salivary gland peptide | AAV63544* |
| Arsenite-resistance protein | ISCW011320 |
Antimicrobial peptides.
Based on annotation in NCBI database (http://www.ncbi.nlm.nih.gov).
I. scapularis genome
The I. scapularis genome is relatively large, approximately 2.1 Gb in size and contains nearly 70% repetitive DNA (Ullmann et al., 2005). Recently it was completely sequenced by the I. scapularis genome project - a partnership between a number of tick research communities and institutions (Hill and Wikel, ; Pagel Van Zee et al., ). Toward the end of 2008, sequencing centers announced the annotation and release of the whole genome sequence data (IscaW1, 2008; GenBank accession ABJB010000000). The sequence data were derived from purified genomic DNA preparations isolated from an in-bred tick colony and sequenced to approximately 6-fold coverage using a combined whole genome shotgun and clone-based approach. The genome information are organized and displayed by a bioinformatics resource center focused on invertebrate vectors of human disease called VectorBase (www.vectorbase.org), which is funded by the National Institute of Allergy and Infectious Diseases, National Institutes of Health. The I. scapularis gene counts included 20,486 high confidence protein-coding genes, 316 non-coding genes and 20,771 transcripts. While the most recent release (IscaW1.3; 2014) reported no modifications of protein-coding loci, it incorporated a new prediction for 285 non-coding RNAs.
Immunity-related gene/pathways in I. scapularis
Gut microbe homeostasis
Gut microbiota serve a critically important function in shaping host immunity in a number of organisms, including model arthropods (Dillon and Dillon, ; Round and Mazmanian, 2009; Hooper et al., ; Buchon et al., ; Kamada et al., ; Schuijt et al., 2013). Characterization of gut microbiota in ticks, including I. scapularis, as well as their influence on the persistence of tick-borne pathogens like B. burgdorferi has been a focus of a number of recent studies (Clay et al., ; Carpi et al., ; Narasimhan et al., ). As many of these gut microbes play a beneficial role in the physiology of the host, the immune system therefore must be able to differentiate between commensal microbes and pathogenic microorganisms (Macpherson and Harris, ). While mechanisms that contribute to the microbial surveillance and pathogen elimination while tolerating the indigenous microbiota remain obscure in ticks, these are well-researched in many arthropods, particularly in D. melanogaster (Buchon et al., ). Studies have established that immune reactivity within the fly gut ensures preservation of beneficial and dietary microorganisms, while mounting robust immune responses to eradicate pathogens (Buchon et al., ). There are at least two models of fly immunity for sensing and preserving beneficial bacterial associations while eliminating potentially damaging ones (Lazzaro and Rolff, ). The first occurs by recognition of non-self molecules (invading microbes), while the second involves the recognition of “danger” signals that are released by damaged host cells. However, it is also likely that they work together to maintain effective gut microbe homeostasis. Recent studies suggest that dual oxidase (DUOX) and peroxidases enzymes play a key role in this process (Kim and Lee, ). While a number of other regulatory molecules may participate in gut homeostasis, we classified 17 different genes within the I. scapularis genome to this pathway, including a single dual oxidase (DUOX) and several peroxidase proteins (Table 1).
Additional studies have recently detailed how DUOX plays an essential role in gut mucosal immunity and homeostasis (Bae et al., ; Deken et al., ). DUOX, a member of the nicotinamide adenine dinucleotide phosphate (NADPH) oxidase NOX family (Geiszt and Leto, ), has previously been shown to be a key source of local microbicidal reactive oxygen species (ROS) production within the fly gut (Kim and Lee, ). Targeted depletion of DUOX in flies has resulted in the overproduction of commensal gut bacteria and renders the flies susceptible to infection (Buchon et al., ; Kim and Lee, ). As originally discovered in Caenorhabditis elegans (Edens et al., ), in addition to ROS generation, DUOX is also implicated for catalysis of protein cross-linking that contributes to maintenance of gut microbiota in Anopheles gambiae (Kumar et al., ). In mosquitoes, DUOX, along with a specific heme-peroxidase, catalyzes the formation of an acellular molecular barrier, termed dityrosine network (DTN), which forms in the luminal space along the gut epithelial layer during feeding (Kumar et al., ). The DTN decreases the gut permeability to various immune elicitors protecting the gut microbiota, both commensal and pathogenic species. Another recent study revealed that an ovarian dual oxidase is essential for insect eggshell hardening through the production of H2O2,which ultimately promotes protein cross-linking (Dias et al., ). Further studies on how DUOX and peroxidase systems maintain gut microbiota in I. scapularis could give novel insight into how pathogens that are transmitted through ticks are able to evade the immune system and persist within the vector.
Agglutination
Agglutination, the biological phenomenon by which cells or particles clump together, has been described within various tick species (Uhlir et al., 1996; Kibuka-Sebitosi, ). A group of carbohydrate-binding proteins called lectins (Grubhoffer et al., , ), which are often produced in a tissue specific manner within arthropods, especially in the gut, hemocytes, or fat bodies, could be key mediators of the process (Grubhoffer et al., , ). Agglutination of pathogens by lectins, which also function as host recognition receptors for pathogen-associated molecular patterns (Dam and Brewer, ), has been reported in many arthropod vectors, including mosquitoes and tsetse flies, where they play an important role in the pathogen-host relationship (Abubakar et al., , ; Barreau et al., ; James, ). While lectins can function as signaling factors for the maturation of the African trypanosome or as lytic factors (Abubakar et al., , ), in mosquitoes they act as agonists of the development of malarial parasites within the vector (Barreau et al., ; James, ) While tick lectins, particularly those in hard ticks (Ixodidae), have not been studied as extensively as other arthropod lectins, previous reviews summarized available information on lectins of I. ricinus (Grubhoffer and Jindrak, ; Grubhoffer et al., ). Since most lectins isolated from arthropods are the ones from the hemocoel, studies have focused on their localization or hemagglutinating activity in the hemolymph (Sonenshine, 1993; Kuhn et al., ). In I. ricinus, this activity was characterized as Ca2+ dependent binding activity (Grubhoffer et al., ). A 85 kDa lectin produced by the granular hemocytes and basal laminae surrounding the hemocoel was identified to have a strong binding affinity for sialic acid (Grubhoffer et al., ). This immunoreactivity supports the idea that lectins may function as a recognition molecule of the immune system in ticks, implying that they could influence the persistence of tick-borne pathogens like B. burgdorferi. In fact, the hemocytes in I. ricinus can also phagocytize B. burgdorferi through the coiling method, which has previously been though to be a lectin-mediated process (Grubhoffer and Jindrak, ). Specifically, two agglutinins/lectins were isolated from the gut, one 65 kDa and the other 37 kDa in size; the former was shown to be the main agglutinin with a binding affinity for mucin, while the latter protein was found to have a strong affinity for a specific glucan (Grubhoffer and Jindrak, ; Grubhoffer et al., ). It is also suggested that a gut agglutinin has the potential to bind LPS that in cooperation with other digestive enzymes thought to affect the persistence of Gram-negative bacteria and spirochetes that pass through the gut lumen (Uhlir et al., 1996; Grubhoffer et al., ). In addition to hemolymph and gut, lectin activities are also documented in the salivary gland; a 70 kDa protein has been identified as being responsible for the hemagglutinating activity in this organ (Grubhoffer et al., ). It is thus possible that lectin or a related protein in the salivary glands could influence pathogen transmission. In fact, a tick mannose-binding lectin inhibitor that is produced in the salivary glands has been shown to interfere with the human lectin complement cascade, significantly impacting the transmission and survival of B. burgdorferi (Schuijt et al., 2011). Taken together, it is likely that lectins could play a role in the immunity of I. scapularis, which encodes for at least 37 lectins or related proteins (Table 2).
Leucine-rich repeat proteins
LRR have previously been shown to occur in more than 2000 proteins throughout the plant and animal kingdom, including Toll-like receptors, and are thought to play an essential role in host defense (Boman and Hultmark, ; Kobe and Kajava, ; Bell et al., ; Enkhbayar et al., ). LRR proteins typically contain 20–29 amino acid residues (with repeats ranging from 2 to 42) that are involved in protein-protein interactions with diverse cellular locations and functions. While the biological significance of LRR containing proteins in ticks remains unknown, notably, the I. scapularis genome encodes at least 22 potential LRR proteins (Table 3). Unlike in ticks, the roles of LRR proteins in the immunity of other arthropods, including blood-meal seeking arthropods, however, are relatively well-characterized (Povelones et al., 2009, ). For example, in Anopheles gambiae, LRR-containing proteins, such as LRIM1 and APL1C, have been identified as a potent antagonist of malarial parasites, limiting Plasmodium infection by activating a complement-like system (Fraiture et al., ; Povelones et al., 2009, ; Baxter et al., ). In Manduca sexta, an LRR-containing protein, termed leureptin, is shown to bind lipopolysaccharide and is involved in hemocyte responses to bacterial infection (Zhu et al., 2010). Further studies into how tick LRR-containing proteins contribute to vector immunity and influence pathogen persistence are warranted.
Proteases/protease inhibitors
A number of immune cascades that serve to recognize and control invading pathogens are dependent on the activity of specific proteases or protease inhibitors (Janeway and Medzhitov, ; Sojka et al., 2011). Proteases, specifically serine proteases, have previously been shown to be a key regulating molecule for several of these immune response pathways, including coagulation, antimicrobial peptide synthesis, and melanization of pathogens (Gorman and Paskewitz, ; Janeway and Medzhitov, ; Jiravanichpaisal et al., ). Such serine protease-dependent cellular response, for example, as demonstrated for coagulation in the horseshoe crab, manifests through the rapid activation of immune pathways in response to pathogen detection (Hoffmann et al., ; Fujita, ). Activation of this pathway has been shown to be controlled by three serine proteases: factor C, factor B, and a pro-clotting enzyme (Tokunaga et al., 1987). When LPS is present, clotting factors that are stored within hemocytes are readily released into the hemolymph, which ultimately results in the immobilization of the invading pathogen.
Protease inhibitors also control a variety of proteolytic pathways and are known to play an important role in arthropod immunity (Kanost, ). A group of serine protease inhibitors, termed serpins, have been the focus of many recent studies that demonstrate the critical contribution of these proteins to the regulation of inflammation, blood coagulation, and complement activation in mammals (Kanost, ). Serpins are also shown to contribute to immunity and physiology in arthropods, as shown in mosquitoes (Gulley et al., ) and flies (Reichhart et al., 2011). A detailed characterization of serpins in ticks, including I. scapularis, has been reported by Mulenga et al. (Mulenga et al., ). These authors reported the presence of at least 45 serpin genes within the I. scapularis genome, interestingly, most of which are differentially expressed in the gut and salivary glands of unfed and partially fed ticks (Mulenga et al., ). It is speculated that ticks could utilize some of these serpins to manipulate host defense to facilitate tick feeding and subsequent disease transmission, although the precise role of serpins in the physiology and immunity within the tick vector awaits further investigation. More recently, a novel serpin, termed IRS-2, was described in I. ricinus (Chmelar et al., ). IRS-2 was shown to inhibit cathepsin G and chymase, thereby inhibiting host inflammation and platelet aggregation. This particular protein was also thought to act as a modulator of vascular permeability. Although whether serpins play a role in host microbe interactions remains unknown, studies also explored their potential as target antigens for development of a tick vaccine (Muleng et al., ).
Coagulation
Injury as well as the presence of microbes in arthropods could result in the induction of two major proteolytic pathways - coagulation and melanization (Theopold et al., 2004). Key enzymes for these processes that cross-link the clot or induce a proteolytic pathway similar to the vertebrate clotting cascade include transglutaminase and phenoloxidase, respectively. Studies in the horseshoe crab have provided a breakthrough in our understanding of the coagulation pathway in arthropods (Theopold et al., 2004). This pathway is characterized by a rapid sequence of highly localized serine proteases and culminates in the generation of thrombin; the process is tightly regulated to ensure excessive clot formation does not occur (Crawley et al., ). The I. scapularis genome encodes for at least 11 genes that may be part of the coagulation pathway (Table 5), although precisely how this pathway controls wound healing or affects microbial survival remains unknown. Notably, while the I. scapularis genome lacks genes related to the melanization (phenoloxidase) pathway, phenol oxidase activity was detected in the hemolymph of the soft ticks, Ornithodoros moubata (Kadota et al., ).
Non-self recognition and signal transduction pathways (Toll, IMD, and JAK-STAT)
Three major pathways, namely Toll, immune deficiency (IMD), and Janus kinase (JAK)- signaling transducer and activator of transcription (STAT) pathways, contribute to the activation of the immune response within arthropods, as previously detailed (Belvin and Anderson, ; De Gregorio et al., ; Hoffmann and Reichhart, ; Govind and Nehm, ; Lemaitre, ; Rawlings et al., 2004; Kaneko and Silverman, ; Tanji and Ip, 2005; Zambon et al., 2005; Tanji et al., 2007; Xi et al., 2008; Souza-Neto et al., 2009; Valanne et al., 2011; Liu et al., ). Notably, the I. scapularis genome encodes many representative genes from all three pathways (Figure 1). While Toll pathways are activated in the presence of bacterial, viral, and fungal pathogens, the IMD pathway is induced by Gram-negative bacteria. The arthropod JAK-STAT pathway, analogous to a cytokine-signaling pathway in mammals (Shuai et al., 1993), has also previously been shown to be activated in the presence of bacterial or protozoan pathogens (Buchon et al., ; Gupta et al., ; Liu et al., ). The Toll pathway is most extensively studied in Drosophila, which encodes nine Toll receptors (Valanne et al., 2011). Cell wall components in Gram-positive bacteria stimulate this pathway, whereas the precise fungal component that induces specific Tolls is not well-defined. In both cases, stimulation of the Toll pathway causes cleavage of the protein Spätzle, which eventually leads to the activation of NF-κ B transcription factor family members Dif and Dorsal, which are homologous to mammalian c-Rel and RelA, resulting in the production of different antimicrobial peptides (AMPs) (Irving et al., ; Christophides et al., ; Hetru et al., ). Specifically, research in Drosophila has shown that Gram-positive bacteria induce the Toll pathway, leading to the generation of Toll-specific AMPs, such as drosomycin (Zhang and Zhu, 2009). While roles of Toll pathways in I. scapularis remain obscure, we list at least 33 genes that potentially belong to this pathway (Table 6). The IMD pathway, on the other hand, is activated by the peptidoglycan molecules present on the surface of Gram-negative bacteria that are recognized by host cells via peptidoglycan recognition receptors (PGRP) (Ferrandon et al., ). This recognition leads to the activation of an adaptor protein and further downstream signaling molecules, such as transcription factor Relish, a compound Rel-Ank protein homologous to mammalian p100 and p105, ultimately resulting in the production of AMPs (Matova and Anderson, ; Ferrandon et al., ). Although the tick genome encodes at least 20 potential genes from this pathway (Table 6), similar to Toll, how the IMD pathway affects Gram-negative pathogens, including B. burgdorferi is unknown. A critical and common aspect in the response of both pathways is the ability to induce a specific AMP to combat microbial infections through the recognition of non-self. Interestingly, it is also thought that these two pathways can work synergistically to activate the expression of the same AMP (Tanji et al., 2007).
Figure 1
Free radical defense
Free radicals, such as ROS, which include superoxide radicals (O·2), hydroxyl radicals (·OH), and other compounds, are able to react with biomolecules and cause damage to DNA, proteins, and lipids, playing as critical role in cell signaling (Thannickal and Fanburg, 2000). While ROS are important in arthropod development (Owusu-Ansah and Banerjee,
A family of superoxide dismutases (SOD) that catalyze the conversion of these free radicals to non-toxic O2 and less toxic hydrogen peroxide (H2O2) are responsible for destroying any free radicals generated in the hosts. Glutathione-S-transferases (GST) also detoxify stress-causing agents, including toxic oxygen free radical species (Sharma et al., 2004). The genes encoding GSTs are shown to be induced in model arthropods upon oxidative stress and microbial challenge, including in ticks infected with B. burgdorferi (Rudenko et al., 2005). Despite these studies, how different free radicals or SOD detoxification systems play roles in pathogen persistence or clearance within I. scapularis, which encodes at least 13 genes of this pathway (Table 7), remains uncharacterized.
Phagocytosis
Cells recognize, bind, and ingest relatively large particles in phagocytosis (Walters and Papadimitriou, 1978). This process is considered a major evolutionarily conserved cellular immune response in arthropods, mostly studied in model insects (Sideri et al., 2008), and is mediated by hemocytes, also known as blood cells, which are primarily present in the hemolymph as well as infrequently exist within various organs. Phagocytosis of microbes plays a critical role in arthropod defense, as blocking of phagocytosis in Drosophila mutants significantly impairs the flies' ability to survive subsequent bacterial infection (Elrod-Erickson et al.,
Anti-microbial peptides
The production of AMPs, a hallmark of systemic humoral immune responses, is an important aspect of host defense in arthropods (Bulet et al.,
Among effector molecules of innate immune defense, AMPs are relatively well-studied in ticks, which likely generate classical AMPs in the gut and hemocoel (Hynes et al.,
Concluding remarks
I. scapularis ticks are known to transmit a diverse set of disease agents ranging from bacterial to protozoans to viruses. A number of studies explored the immunomodulatory activities of tick saliva or components of the salivary gland in mammalian hosts or how these activities benefit tick-transmitted pathogens (Hovius et al.,
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Statements
Acknowledgments
We are thankful to Faith Kung and Brian Backstedt for their sincere help with the bioinformatics analysis. The study was supported by funding from the National Institutes of Health (AI080615).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Summary
Keywords
ticks, Ixodes scapularis, Borrelia burgdorferi, immunity-related genes, innate response, genomics
Citation
Smith AA and Pal U (2014) Immunity-related genes in Ixodes scapularis—perspectives from genome information. Front. Cell. Infect. Microbiol. 4:116. doi: 10.3389/fcimb.2014.00116
Received
14 May 2014
Accepted
05 August 2014
Published
22 August 2014
Volume
4 - 2014
Edited by
Tanja Petnicki-Ocwieja, Tufts University School of Medicine and Tufts Medical Center, USA
Reviewed by
Janakiram Seshu, The University of Texas at San Antonio, USA; Yongqun “Oliver” He, University of Michigan Medical School, USA
Copyright
© 2014 Smith and Pal.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Utpal Pal, Department of Veterinary Medicine, University of Maryland, Building 795, Room 1341, 8075 Greenmead Drive, College Park, MD 20742, USA e-mail: upal@umd.edu
This article was submitted to the journal Frontiers in Cellular and Infection Microbiology.
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