Molecular survey of arthropod-borne pathogens in ticks obtained from Japanese wildcats

Tateno, Morihiro; Sunahara, Ayano; Nakanishi, Nozomi; Izawa, Masako; Matsuo, Tomohide; Setoguchi, Asuka; Endo, Yasuyuki

doi:10.1016/j.ttbdis.2015.01.009

Cited by 32 publications

(28 citation statements)

References 34 publications

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“…Anaplasma bovis was additionally detected in blood from Tsushima leopard cats ( Prionailurus bengalensis euptilurus ) from Japan [ 20 ], in the same leopard cat subspecies from Korea [ 21 ] and in one Haemaphysalis longicornis nymph obtained from an Iriomote (leopard) cat ( P. bengalensis iriomotensis ) from Japan. Curiously, this last nymph was also found positive to H. felis [ 22 ].…”

Section: Discussionmentioning

confidence: 99%

Molecular detection of Anaplasma bovis, Ehrlichia canis and Hepatozoon felis in cats from Luanda, Angola

et al. 2018

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BackgroundMolecular identification of tick-borne pathogen infection in cats from Africa is scarce. The presence of bacterial (Anaplasma and Ehrlichia) and protozoal (Babesia and Hepatozoon) agents was investigated in blood samples from 102 domestic cats from Luanda, Angola, by polymerase chain reaction and DNA sequencing.ResultsThree cats (2.9%) were found infected with Ehrlichia canis, three (2.9%) with Hepatozoon felis and one (1.0%) with Anaplasma bovis. The prevalence of infections with one single agent was 4.9%, and that of infection with two agents (i.e. E. canis and H. felis) was 1.0%. In total, six cats (5.9%) were found infected with at least one of the detected tick-borne agents.ConclusionsThis is the first report of A. bovis, E. canis and H. felis in cats from Angola. To the best of our knowledge, A. bovis is also being reported for the first time in domestic cats outside of Japan. Cats are at a low to moderate risk of being infected with tick-borne agents in Luanda.Electronic supplementary materialThe online version of this article (10.1186/s13071-018-2767-y) contains supplementary material, which is available to authorized users.

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Section: Discussionmentioning

confidence: 99%

Molecular detection of Anaplasma bovis, Ehrlichia canis and Hepatozoon felis in cats from Luanda, Angola

et al. 2018

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“…With increased interest in tick-borne diseases, surveillance of ticks from reptiles, mammals, birds, and vegetation has led to the identification of known and yet to be described pathogens belonging to genera of Ehrlichia , Anaplasma , Bartonella , Borrelia , Babesia and Rickettsia , in addition to viruses [10, 18–20, 30–36]. Rickettsia akari , a mite-borne pathogen isolated from a rodent, was first reported in Korea in 1957 [37, 38].…”

Section: Discussionmentioning

confidence: 99%

Molecular detection of Rickettsia species in ticks collected from the southwestern provinces of the Republic of Korea

et al. 2017

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BackgroundRickettsiae constitute a group of arthropod-borne, Gram-negative, obligate intracellular bacteria that are the causative agents of diseases ranging from mild to life threatening that impact on medical and veterinary health worldwide.MethodsA total of 6,484 ticks were collected by tick drag from June-October 2013 in the southwestern provinces of the Republic of Korea (ROK) (Jeollanam, n = 3,995; Jeollabuk, n = 680; Chungcheongnam, n = 1,478; and Chungcheongbuk, n = 331). Ticks were sorted into 311 pools according to species, collection site, and stage of development. DNA preparations of tick pools were assayed for rickettsiae by 17 kDa antigen gene and ompA nested PCR (nPCR) assays and the resulting amplicons sequenced to determine the identity and prevalence of spotted fever group rickettsiae (SFGR).Results Haemaphysalis longicornis (4,471; 52 adults, 123 nymphs and 4,296 larvae) were the most commonly collected ticks, followed by Haemaphysalis flava (1,582; 28 adults, 263 nymphs and 1,291 larvae), and Ixodes nipponensis (431; 25 adults, 5 nymphs and 401 larvae). The minimum field infection rate/100 ticks (assuming 1 positive tick/pool) was 0.93% for the 17 kDa antigen gene and 0.82% for the ompA nPCR assays. The partial 17 kDa antigen and ompA gene sequences from positive pools of H. longicornis were similar to: Rickettsia sp. HI550 (99.4–100%), Rickettsia sp. FUJ98 (99.3–100%), Rickettsia sp. HIR/D91 (99.3–100%), and R. japonica (99.7%). One sequence of the partial 17 kDa antigen gene for H. flava was similar to Rickettsia sp. 17kd-005 (99.7%), while seven sequences of the 17 kDa antigen gene obtained from I. nipponensis ticks were similar to R. monacensis IrR/Munich (98.7–100%) and Rickettsia sp. IRS3 (98.9%).ConclusionsSFG rickettsiae were detected in three species of ixodid ticks collected in the southwestern provinces of the ROK during 2013. A number of rickettsiae have been recently reported from ticks in Korea, some of which were identified as medically important. Results from this study and previous reports demonstrate the need to conduct longitudinal investigations to identify tick-borne rickettsiae and better understand their geographical distributions and potential impact on medical and veterinary health, in addition to risk communication and development of rickettsial disease prevention strategies.

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“…Tick-to-human transmission is the primary route by which people are infected with SFTSV, and Haemaphysalis longicornis (H. longicornis) ticks act as the main transmission vector [8][9][10]. H. longicornis is native to East Asia and has established populations in the Australasian and Western Pacific Regions [11][12][13]. Very recently, this tick species has been reported in the United States, first observed to infest the sheep in New Jersey and then identified in seven states and the suburb of New York City [14,15].…”

Section: Introductionmentioning

confidence: 99%

Mapping the global potential transmission hotspots for severe fever with thrombocytopenia syndrome by machine learning methods

Miao

Dai

Zhao

et al. 2020

Emerging Microbes & Infections

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Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease with increasing spread. Currently SFTS transmission has expanded beyond Asian countries, however, with definitive global extents and risk patterns remained obscure. Here we established an exhaustive database that included globally reported locations of human SFTS cases and the competent vector, Haemaphysalis longicornis (H. longicornis), as well as the explanatory environmental variables, based on which, the potential geographic range of H. longicornis and risk areas for SFTS were mapped by applying two machine learning methods. Ten predictors were identified contributing to global distribution for H. longicornis with relative contribution ≥1%. Outside contemporary known distribution, we predict high receptivity to H. longicornis across two continents, including northeastern USA, New Zealand, parts of Australia, and several Pacific islands. Eight key drivers of SFTS cases occurrence were identified, including elevation, predicted probability of H. longicornis presence, two temperature-related factors, two precipitation-related factors, the richness of mammals and percentage coverage of water bodies. The globally model-predicted risk map of human SFTS occurrence was created and validated effective for discriminating the actual affected and unaffected areas (median predictive probability 0.74 vs. 0.04, P < 0.001) in three countries with reported cases outside China. The high-risk areas (probability ≥50%) were predicted mainly in east-central China, most parts of the Korean peninsula and southern Japan, and northern New Zealand. Our findings highlight areas where an intensive vigilance for potential SFTS spread or invasion events should be advocated, owing to their high receptibility to H. longicornis distribution.

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Molecular survey of arthropod-borne pathogens in ticks obtained from Japanese wildcats

Cited by 32 publications

References 34 publications

Molecular detection of Anaplasma bovis, Ehrlichia canis and Hepatozoon felis in cats from Luanda, Angola

Molecular detection of Anaplasma bovis, Ehrlichia canis and Hepatozoon felis in cats from Luanda, Angola

Molecular detection of Rickettsia species in ticks collected from the southwestern provinces of the Republic of Korea

Mapping the global potential transmission hotspots for severe fever with thrombocytopenia syndrome by machine learning methods

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