| Literature DB >> 28439499 |
José de la Fuente1,2, Sandra Antunes3, Sarah Bonnet4, Alejandro Cabezas-Cruz4,5,6, Ana G Domingos3, Agustín Estrada-Peña7, Nicholas Johnson8,9, Katherine M Kocan2, Karen L Mansfield8,10, Ard M Nijhof11, Anna Papa12, Nataliia Rudenko5, Margarita Villar1, Pilar Alberdi1, Alessandra Torina13, Nieves Ayllón1, Marie Vancova5, Maryna Golovchenko5, Libor Grubhoffer5,6, Santo Caracappa13, Anthony R Fooks8,10, Christian Gortazar1, Ryan O M Rego5,6.
Abstract
Ticks and the pathogens they transmit constitute a growing burden for human and animal health worldwide. Vector competence is a component of vectorial capacity and depends on genetic determinants affecting the ability of a vector to transmit a pathogen. These determinants affect traits such as tick-host-pathogen and susceptibility to pathogen infection. Therefore, the elucidation of the mechanisms involved in tick-pathogen interactions that affect vector competence is essential for the identification of molecular drivers for tick-borne diseases. In this review, we provide a comprehensive overview of tick-pathogen molecular interactions for bacteria, viruses, and protozoa affecting human and animal health. Additionally, the impact of tick microbiome on these interactions was considered. Results show that different pathogens evolved similar strategies such as manipulation of the immune response to infect vectors and facilitate multiplication and transmission. Furthermore, some of these strategies may be used by pathogens to infect both tick and mammalian hosts. Identification of interactions that promote tick survival, spread, and pathogen transmission provides the opportunity to disrupt these interactions and lead to a reduction in tick burden and the prevalence of tick-borne diseases. Targeting some of the similar mechanisms used by the pathogens for infection and transmission by ticks may assist in development of preventative strategies against multiple tick-borne diseases.Entities:
Keywords: Anaplasma; Babesia; Borrelia; flavivirus; immunology; microbiome; tick; vaccine
Mesh:
Year: 2017 PMID: 28439499 PMCID: PMC5383669 DOI: 10.3389/fcimb.2017.00114
Source DB: PubMed Journal: Front Cell Infect Microbiol ISSN: 2235-2988 Impact factor: 5.293
Figure 1Model organisms: tick-borne pathogens that constitute a growing burden for human and animal health. The pathogens covered in this review include bacteria (A. phagocytophilum and B. burgdorferi), viruses (Crimean-Congo hemorrhagic fever virus, tick-borne encephalitis virus), and protozoa (Babesia spp.) transmitted by hard ticks (Ixodidae). The most prevalent diseases caused by these pathogens, main tick vectors, and disease distribution worldwide is shown in the figure.
Viruses transmitted by ticks of medical or veterinary importance.
| Alkhurma hemorrhagic fever virus (AHFV) | Humans | Saudi Arabia | ||
| African swine fever virus (ASFV) | Pigs | Africa | ||
| Colorado tick fever virus (CTFV) | Humans | North America | ||
| Crimean-Congo haemorrhagic fever virus (CCHFV) | Humans | Africa/Asia/Southern Europe | ||
| Kyasanur Forrest virus (KFV) | Humans | India | ||
| Louping ill virus (LIV) | Sheep/Grouse | British Isles | ||
| Nairobi sheep disease virus (NSDV) | Sheep | Africa | ||
| Omsk Hemorrhagic fever virus (OHFV) | Humans | Asia | ||
| Powassan virus (POWV) | Humans | North America/Russia | ||
| Tick-borne encephalitis virus (TBEV) | Humans | Europe/Asia |
Table adapted from Labuda and Nuttall (.
Figure 2Tick-pathogen molecular interactions. (A) A. phagocytophilum (B) B. burgdorferi s.l., (C) TBEV, and (D) B. bovis/B. bigemina activate mechanisms (panel 1) and manipulate tick protective responses and other biological processes in order to facilitate infection (panel 2), while ticks respond to limit pathogen infection and preserve feeding fitness and vector competence for survival of both ticks and pathogens (panel 3). MG, midgut; HE, hemocyte; SG, salivary gland; MSPs, major surface proteins; HSPs, heat shock proteins; ER, endoplasmic reticulum.
Figure 3Possible impact of tick microbiome on pathogen transmission. Tick microbiome may affect pathogen transmission either directly via nutrient competition or induced/reduced immunity, or indirectly by affecting tick populations (viability, reproduction) or fitness (affecting host-seeking success). MG, midgut; SG, salivary gland; OV, ovaries.
Figure 4Pathogens inhibit vector cell apoptosis by different mechanisms. After infection of tick salivary glands, A. phagocytophilum inhibit apoptosis by decreasing the expression of the pro-apoptotic genes coding for proteins such as ASK1 and Porin. Porin down-regulation is associated with the inhibition of mitochondrial Cyt c release (Ayllón et al., 2015a). In contrast, A. phagocytophilum infection does not affect Bcl-2 levels, probably because this protein but not Porin is essential for tick feeding (Ayllón et al., 2015a). A. phagocytophilum also induces ER stress in tick cells which play a role in reducing the levels of MKK that inhibits apoptosis (Villar et al., 2015a). Another interesting mechanism of A. phagocytophilum to inhibit apoptosis is the manipulation of glucose metabolism by reducing the levels of PEPCK (Villar et al., 2015a). The capacity of A. phagocytophilum to downregulate gene expression in neutrophils was associated with HDAC1 recruitment to the promoters of target genes by the ankyrin repeat protein AnkA (Garcia-Garcia et al., 2009a,b; Rennoll-Bankert et al., 2015). Tick HDAC1 is overrepresented in A. phagocytophilum-infected salivary glands and chemical inhibition of this protein decreases A. phagocytophilum burden in tick cells (Cabezas-Cruz et al., 2016). Infection of tick cells with flaviviruses results in the up-regulation of genes such as hsp70 that inhibit apoptosis (Mansfield et al., 2017). N, Nucleus; M, Mitochondria; ER, Endoplasmic Reticulum; Cyt c, Cytochrome c; ASK1, Apoptosis signal-regulating kinase 1; MKK, Mitogen-activated Protein Kinase; HDAC1, Histone Deacetylase 1; AnkA, Ankyrin A; PEPCK, Phosphoenolpyruvate Carboxykinase; FOXO, Forkhead box O; Hid, Head involution defective; JNK, Jun amino-terminal kinases; Casp, caspases. The molecules and processes represented in green are up-regulated, while those represented in red are down-regulated in response to infection. The activity of the molecules represented in blue varies in response to infection.
| Host range | Ticks with a wide host range such as |
| Number of hosts | The potential transmission of pathogens could be limited when considering the host contact rate of 1- and 2- host ticks vs. 3-host ticks. This effect may however be partially annulled by the phenomenon of transovarial passage, when pathogens are passaged from the female to her eggs and offspring, which can subsequently infect new hosts. Argasid ticks of which the nymphs and adults take several blood meals, have a high host contact rate and could theoretically acquire or transmit pathogens from and to multiple hosts. |
| Midgut infection and escape barrier | The pathogen needs to pass through the midgut to reach the salivary glands and be transmitted with tick saliva, and for migration of some pathogens to the ovaries to allow transovarial pathogen passage. Mechanisms to pass the midgut infection barrier may depend on the presence and structure of specific surface receptors, such as TROSPA, to which OspA from |
| Innate immune response | Pathogens need to overcome tick defense mechanisms, such as the phagocytosis of microbes by hemocytes, antimicrobial peptides and RNA interference, in order to be transmitted with tick saliva (Hajdušek et al., |
| Salivary gland infection and escape barrier | Pathogens must cross into the salivary glands for transmission with saliva during feeding, but little is known about the molecular mechanisms behind this entry. Once inside the salivary glands, the pathogen has to be released into the saliva stream to be transmitted. For example, |
| Pathogen strains | Differences between pathogen strains to infect and be transmitted by ticks have been widely reported (e.g., Kleiboeker et al., |
| Tick microbiome-pathogen interactions | Microbiome play an essential role in various aspects of the arthropods life cycle and there is an increasing interest to elucidate arthropod-microbiome interactions. Perturbation of the microbiome caused changes in the integrity of the peritrophic membrane and may affect pathogen infection (Narasimhan et al., |
| Cross-Immunity interference | Competition between microorganisms within the tick may affect vector competence. Ticks infected with one |
| Abiotic factors | Abiotic factors such as temperature and relative humidity not only have a direct effect on tick development, questing activity and longevity, but temperature may also modulate pathogen development and survival in ticks (Shih et al., |