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iSeq 100 for metagenomic pathogen screening in ticks

BACKGROUND: 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, bor...

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Autores principales: Kim, Ju Yeong, Yi, Myung-hee, Mahdi, Alghurabi Areej Sabri, Yong, Tai-Soon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8244152/
https://www.ncbi.nlm.nih.gov/pubmed/34187542
http://dx.doi.org/10.1186/s13071-021-04852-w
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author Kim, Ju Yeong
Yi, Myung-hee
Mahdi, Alghurabi Areej Sabri
Yong, Tai-Soon
author_facet Kim, Ju Yeong
Yi, Myung-hee
Mahdi, Alghurabi Areej Sabri
Yong, Tai-Soon
author_sort Kim, Ju Yeong
collection PubMed
description BACKGROUND: 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. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13071-021-04852-w.
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spelling pubmed-82441522021-06-30 iSeq 100 for metagenomic pathogen screening in ticks Kim, Ju Yeong Yi, Myung-hee Mahdi, Alghurabi Areej Sabri Yong, Tai-Soon Parasit Vectors Research BACKGROUND: 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. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13071-021-04852-w. BioMed Central 2021-06-29 /pmc/articles/PMC8244152/ /pubmed/34187542 http://dx.doi.org/10.1186/s13071-021-04852-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Kim, Ju Yeong
Yi, Myung-hee
Mahdi, Alghurabi Areej Sabri
Yong, Tai-Soon
iSeq 100 for metagenomic pathogen screening in ticks
title iSeq 100 for metagenomic pathogen screening in ticks
title_full iSeq 100 for metagenomic pathogen screening in ticks
title_fullStr iSeq 100 for metagenomic pathogen screening in ticks
title_full_unstemmed iSeq 100 for metagenomic pathogen screening in ticks
title_short iSeq 100 for metagenomic pathogen screening in ticks
title_sort iseq 100 for metagenomic pathogen screening in ticks
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8244152/
https://www.ncbi.nlm.nih.gov/pubmed/34187542
http://dx.doi.org/10.1186/s13071-021-04852-w
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