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iSeq 100 for metagenomic pathogen screening in ticks

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dc.contributor.author김주영-
dc.contributor.author용태순-
dc.contributor.author이명희-
dc.contributor.author용태순-
dc.contributor.author이명희-
dc.date.accessioned2021-09-29T02:08:39Z-
dc.date.available2021-09-29T02:08:39Z-
dc.date.issued2021-06-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/184734-
dc.description.abstractBackground: Ticks are blood-sucking ectoparasites that play a pivotal role in the transmission of various pathogens to humans and animals. In Korea, Haemaphysalis longicornis is the predominant tick species and is recognized as the vector of pathogens causing various diseases such as babesiosis, borreliosis, rickettsiosis, and severe fever with thrombocytopenia syndrome. Methods: In this study, the targeted high-throughput sequencing of the 16S rRNA V4 region was performed using the state-of-the-art sequencing instrument, iSeq 100, to screen bacterial pathogens in H. longicornis, and the findings were compared with those using conventional PCR with specific primers. Microbiome analyses were performed with EzBioCloud, a commercially available ChunLab bioinformatics cloud platform. ANOVA-Like Differential Expression tool (ALDEx2) was used for differential abundance analysis. Results: Rickettsia spp. were detected in 16 out of 37 samples using iSeq 100, and this was confirmed using a PCR assay. In the phylogenetic analysis using gltA and ompA sequences of the detected Rickettsia, the highest sequence similarity was found with 'Candidatus Rickettsia jingxinensis' isolate Xian-Hl-79, 'Ca. R. jingxinensis' isolate F18, and 'Ca. R. longicornii' isolate ROK-HL727. In the microbiome study, Coxiella AB001519, a known tick symbiont, was detected in all 37 tick samples. Actinomycetospora chiangmaiensis was more abundant in Rickettsia-positive samples than in Rickettsia-negative samples. Conclusions: In this study, iSeq 100 was used to investigate the microbiome of H. longicornis, and the potentially pathogenic Rickettsia strain was detected in 16 out of 37 ticks. We believe that this approach will aid in large-scale pathogen screening of arthropods to be used in vector-borne disease control programs.-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherBioMed Central-
dc.relation.isPartOfPARASITES & VECTORS-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleiSeq 100 for metagenomic pathogen screening in ticks-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Environmental Medical Biology (환경의생물학교실)-
dc.contributor.googleauthorJu Yeong Kim-
dc.contributor.googleauthorMyung-Hee Yi-
dc.contributor.googleauthorAlghurabi Areej Sabri Mahdi-
dc.contributor.googleauthorTai-Soon Yong-
dc.identifier.doi10.1186/s13071-021-04852-w-
dc.contributor.localIdA00937-
dc.contributor.localIdA02424-
dc.contributor.localIdA02761-
dc.contributor.localIdA02424-
dc.contributor.localIdA02761-
dc.relation.journalcodeJ03638-
dc.identifier.eissn1756-3305-
dc.identifier.pmid34187542-
dc.subject.keywordHaemaphysalis longicornis-
dc.subject.keywordNext generation sequencing-
dc.subject.keywordRickettsia-
dc.subject.keywordVector-borne disease-
dc.subject.keywordiSeq 100-
dc.contributor.alternativeNameKim, Ju Young-
dc.contributor.affiliatedAuthor김주영-
dc.contributor.affiliatedAuthor용태순-
dc.contributor.affiliatedAuthor이명희-
dc.contributor.affiliatedAuthor용태순-
dc.contributor.affiliatedAuthor이명희-
dc.citation.volume14-
dc.citation.number1-
dc.citation.startPage346-
dc.identifier.bibliographicCitationPARASITES & VECTORS, Vol.14(1) : 346, 2021-06-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Environmental Medical Biology (환경의생물학교실) > 1. Journal Papers

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