scholarly journals Molecular and Phylogenetic Analysis of Tick-Borne Pathogens in Ticks Parasitizing Native Korean Goats (Capra hircus coreanae) in South Korea

Pathogens ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 71 ◽  
Author(s):  
Min-Goo Seo ◽  
Oh-Deog Kwon ◽  
Dongmi Kwak

Tick-borne pathogens (TBPs) are considered zoonotic re-emerging pathogens, with ticks playing important roles in their transmission and ecology. Previous studies in South Korea have examined TBPs residing in ticks; however, there is no phylogenetic information on TBPs in ticks parasitizing native Korean goat (NKG; Capra hircus coreanae). The present study assessed the prevalence, risk factors, and co-infectivity of TBPs in ticks parasitizing NKGs. In total, 107 hard ticks, including Haemaphysalis longicornis, Ixodes nipponensis, and Haemaphysalis flava, were obtained from NKGs in South Korea between 2016 and 2019. In 40 tested tick pools, genes for four TBPs, namely Coxiella-like endosymbiont (CLE, 5.0%), Candidatus Rickettsia longicornii (45.0%), Anaplasma bovis (2.5%), and Theileria luwenshuni (5.0%) were detected. Ehrlichia, Bartonella spp., and severe fever with thrombocytopenia syndrome virus were not detected. To our knowledge, this is the first study to report CLE and T. luwenshuni in H. flava ticks in South Korea. Considering the high prevalence of Candidatus R. longicornii in ticks parasitizing NKGs, there is a possibility of its transmission from ticks to animals and humans. NKG ticks might be maintenance hosts for TBPs, and we recommend evaluation of the potential public health threat posed by TBP-infected ticks.


2019 ◽  
Vol 56 (4) ◽  
pp. 1139-1144 ◽  
Author(s):  
Minhyung Jung ◽  
Jung-Wook Kho ◽  
Wook-Gyo Lee ◽  
Jong Yul Roh ◽  
Doo-Hyung Lee

Abstract The seasonal abundance of Haemaphysalis longicornis Neumann and H. flava Neumann (Acari: Ixodidae) was monitored from 2015 through 2017 in Gyeonggi-do, South Korea. The hard ticks were surveyed monthly using CO2 bait traps from April to November and flagging from July to September in a coniferous forest, a deciduous forest, shrubs, and a grassland vegetation types. Haemaphysalis longicornis and H. flava were most abundant in the grassland and shrubs, which yielded over 50% of the total number of ticks in all 3 yr. Furthermore, H. longicornis comprised up to 90% of the ticks collected. Generally, peaks of nymph, adult, and larva numbers were observed from April to June, from June to July, and from August to September, respectively. Half of the ticks were pooled and tested for the presence of the SFTS virus with negative results.





2020 ◽  
Vol 8 (5) ◽  
pp. 649
Author(s):  
Min-Goo Seo ◽  
Oh-Deog Kwon ◽  
Dongmi Kwak

Lyme borreliosis is one of the most prevalent tick-borne infectious zoonotic diseases caused by spirochetes of the Borrelia burgdorferi sensu lato group. The present study assessed the risk factors and prevalence of Lyme borreliosis in ticks parasitizing domestic and wild animals. A total of 589 ticks (329 tick pools) collected from animals were identified as Haemaphysalis longicornis, (85.7%), H. flava (10.0%), and Ixodes nipponensis (4.3%) using morphological and molecular methods in South Korea. In this study, the 5S–23S gene sequences of B. afzelii (6/329, 1.8%) were detected in ticks taken from mammals, including ticks from horses (2/147 pools, 1.4%), wild boar (1/19 pools, 5.3%), native Korean goats (NKG, 2/34 pools, 5.9%), and Korean water deer (1/129 pools, 0.8%). Unfortunately, ospA, pyrG, and flagellin genes were not able to be amplified in the present study. To our knowledge, our results are the first inclusive data available for B. afzelii circulation in several tick species taken from NKG, horses, and wild boar in South Korea. We believe that the current findings extend our knowledge of the distribution and possible vector spectrum of Borrelia spp. We recommend continuous evaluation of the potential public health threat posed by Borrelia infected ticks.



2014 ◽  
Vol 5 (6) ◽  
pp. 975-977 ◽  
Author(s):  
Sun-Whan Park ◽  
Bong Gu Song ◽  
E-Hyun Shin ◽  
Seok-Min Yun ◽  
Myung-Guk Han ◽  
...  


2021 ◽  
Vol 9 (8) ◽  
pp. 1630
Author(s):  
Min-Goo Seo ◽  
Byung-Eon Noh ◽  
Hak Seon Lee ◽  
Tae-Kyu Kim ◽  
Bong-Goo Song ◽  
...  

Since 2010, the Korea Disease Control and Prevention Agency has established centers at 16 locations to monitor disease vectors and pathogens. Here, we examined tick populations to understand the geographical and temporal distribution of severe fever with thrombocytopenia syndrome virus (SFTSV) vectors in 2020. From April to November, 63,376 ticks were collected from traps to monitor tick populations, with a trap index of 41.3. Tick incidence varied from April to October, with population peaks observed for nymphs in May, adults in July, and larvae in September. The predominant tick species were Haemaphysalis longicornis, Haemaphysalis spp., H. flava, Ixodes spp., Amblyomma testudinarium, and Ixodes nipponensis. Approximately 50% of the collected ticks were pooled into 2973 groups to detect the rate of SFTSV infection in ticks. The minimum infection rate (MIR) of SFTSV was 0.2%, and Andong had the highest MIR for SFTSV (4.0%). The B3 genotype was the most prevalent (52.2%) followed by B2 (28.6%), B5 (15.9%), B4 (1.6%), and B6 (1.6%). We identified widely distributed tick species and a high degree of diversity in SFTSV strains in ticks from different geographical regions. The results may provide a basis for future epidemiological studies and risk assessments for tick-borne diseases.



2014 ◽  
Vol 20 (11) ◽  
pp. 1880-1882 ◽  
Author(s):  
Sun-Whan Park ◽  
Myung-Guk Han ◽  
Seok-Min Yun ◽  
Chan Park ◽  
Won-Ja Lee ◽  
...  
Keyword(s):  


2020 ◽  
Author(s):  
Jixu Li ◽  
Shuang Zhang ◽  
Wanfeng Liang ◽  
Shaowei Zhao ◽  
Hao Wang ◽  
...  

Abstract BackgroundYanbian is located at the junction between China, Russia, and North Korea. We aimed to determine the species distribution and pathogens carried by ticks in Yanbian.MethodsA total of 2673 unattached ticks were collected from eight counties and cities in Yanbian and classified morphologically. Candidatus Rickettsia tarasevichiae (CRT), spotted fever group Rickettsia (SFGR), severe fever thrombocytopenia syndrome virus (SFTSV), Theileria, and other pathogens were detected using polymerase chain reaction (PCR) and real-time quantitative polymerase chain reaction followed by phylogenetic and genotypic analyses.ResultsAccording to the morphological classification, the main tick species in Yanbian were Haemaphysalis longicornis, Ixodes persulcatus, Dermacentor silvarum, Haemaphysalis japonica, and Haemaphysalis concinna. Candidatus Rickettsia tarasevichiae, spotted fever group Rickettsia, severe fever thrombocytopenia syndrome virus, and Theileria orientalis were detected in H. longicornis, Candidatus Rickettsia tarasevichiae, spotted fever group Rickettsia, and severe fever thrombocytopenia syndrome virus were detected in I. persulcatus, H. japonica, and D. silvarum, but only severe fever thrombocytopenia syndrome virus was detected in H. concinna. Mixed infection with Candidatus Rickettsia tarasevichiae and severe fever thrombocytopenia syndrome virus was found in I. persulcatus and H. japonica. The gene sequences of all tested pathogens exhibited 95.7%–100% homology with sequences registered in GenBank. Phylogenetic analysis showed that different spotted fever group Rickettsia and severe fever thrombocytopenia syndrome virus genotypes were closely related to the Korean strains. We provide the first evidence for the presence of the spotted fever group Rickettsia genotypes of Candidatus Rickettsia longicornii, ompA, ompB, sca4, and rrs, in Haemaphysalis longicornis in Yanbian. ConclusionsThese results provide epidemiological data to support the prevention and control of ticks and tick-borne diseases in the border areas of China, North Korea, and Russia.



2013 ◽  
Vol 19 (11) ◽  
Author(s):  
Kye-Hyung Kim ◽  
Jongyoun Yi ◽  
Gayeon Kim ◽  
Su Jin Choi ◽  
Kang Il Jun ◽  
...  
Keyword(s):  


Virology ◽  
2019 ◽  
Vol 529 ◽  
pp. 234-245 ◽  
Author(s):  
Ling’En Yang ◽  
Zihan Zhao ◽  
Guobin Hou ◽  
Chang Zhang ◽  
Jun Liu ◽  
...  


2019 ◽  
Vol 34 (5) ◽  
pp. 501-507 ◽  
Author(s):  
Min-Ah Yu ◽  
Kwang-Min Yu ◽  
Su-Jin Park ◽  
Young-Il Kim ◽  
Norbert John Robles ◽  
...  
Keyword(s):  


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