Tick distribution and comparative analysis of bovine blood microbiome in two provinces of South Africa using 16S rRNA PacBio sequencing approach

dc.contributor.authorKhoza, Bongekile Lungile
dc.contributor.authorByaruhanga, Charles
dc.contributor.authorMakgabo, Marcus
dc.contributor.authorNyangiwe, Nkululeko
dc.contributor.authorMnisi, Themba
dc.contributor.authorNxumalo, Samukelo
dc.contributor.authorOosthuizen, Marinda C.
dc.contributor.authorMnisi, Zamantungwa Thobeka Happiness
dc.date.accessioned2024-11-04T13:01:22Z
dc.date.available2024-11-04T13:01:22Z
dc.date.issued2024-05
dc.descriptionDATA AVAILABITY STATEMENT: The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: https://www.ncbi.nlm.nih.gov/ genbank/, PRJNA1031221.en_US
dc.description.abstractINTRODUCTION: Ticks are obligate ectoparasites recognized worldwide as major vectors of several disease-causing pathogens and are good indicators of disease distribution and epidemiology. Recent years have seen a growing concern regarding emerging and re-emerging of economically important tick-borne pathogens of livestock and humans worldwide. The overall objective of the study was to give an insight into current tick distribution and associated bacterial pathogens that may pose a threat to cattle in the sampled study sites. METHODS: A total of 150 cattle were randomly selected from three study sites, Harrismith and Phuthaditjhaba in Free State Province and Bergville in KwaZulu Natal Province, South Africa. Blood samples were collected from the cattle and DNA was subjected to the 16S rRNA gene microbiome sequencing on the circular consensus PacBio sequencing platform. Ticks were also collected from various predilection sites of the sampled animals. RESULTS: A total of eight tick species were identified and Rhipicephalus evertsi evertsi (79.4%) was the most abundant followed by R. appendiculatus (11.7%), R. afranicus (2.6%), R. simus (2.6%), Hyalomma rufipes (1.2%), R. decoloratus (1.0%), H. truncatum (0.7%) and R. microplus (0.7%). The bacterial microbiome sequence analysis revealed up to 16 phyla and 30 classes in the three study sites. Proteobacteria was the most dominant bacterial phyla with a relative abundance of 67.2% (Bergville), 73.8% (Harrismith) and 84.8% (Phuthaditjhaba), followed by Firmicutes at 9.6% (Phuthaditjhaba), 18.9% (Bergville) and 19.6% (Harrismith). CONCLUSION AND PERSPECTIVE: The Chao 1 index estimator revealed significant differences in the a-diversity of microbial communities among three study sites. This study expands the knowledge on tick fauna and microbial communities in the three study sites.en_US
dc.description.departmentVeterinary Tropical Diseasesen_US
dc.description.sdgSDG-03:Good heatlh and well-beingen_US
dc.description.sdgSDG-15:Life on landen_US
dc.description.sponsorshipThe National Research Foundation of South Africa.en_US
dc.description.urihttps://www.frontiersin.org/journals/tropical-diseasesen_US
dc.identifier.citationKhoza, B.L., Byaruhanga, C., Makgabo, S.M., Nyangiwe, N., Mnisi, T., Nxumalo, S., Oosthuizen, M.C. & Mnisi, Z.T.H. (2024) Tick distribution and comparative analysis of bovine blood microbiome in two provinces of South Africa using 16S rRNA PacBio sequencing approach. Frontiers in Tropical Diseases 5:1399364. doi: 10.3389/fitd.2024.1399364.en_US
dc.identifier.issn2673-7515 (online)
dc.identifier.other10.3389/fitd.2024.1399364
dc.identifier.urihttp://hdl.handle.net/2263/98921
dc.language.isoenen_US
dc.publisherFrontiers Mediaen_US
dc.rights© 2024 Khoza, Byaruhanga, Makgabo, Nyangiwe, Mnisi, Nxumalo, Oosthuizen and Mnisi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).en_US
dc.subjectPacBioen_US
dc.subjectAnaplasmaen_US
dc.subjectBergvilleen_US
dc.subjectHarrismithen_US
dc.subjectPhuthaditjhabaen_US
dc.subjectTicksen_US
dc.subject16S rRNAen_US
dc.subjectSDG-03: Good health and well-beingen_US
dc.subjectSDG-15: Life on landen_US
dc.subjectSouth Africa (SA)en_US
dc.titleTick distribution and comparative analysis of bovine blood microbiome in two provinces of South Africa using 16S rRNA PacBio sequencing approachen_US
dc.typeArticleen_US

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