dc.contributor.author |
Khoza, Bongekile Lungile
|
|
dc.contributor.author |
Byaruhanga, Charles
|
|
dc.contributor.author |
Makgabo, Marcus
|
|
dc.contributor.author |
Nyangiwe, Nkululeko
|
|
dc.contributor.author |
Mnisi, Themba
|
|
dc.contributor.author |
Nxumalo, Samukelo
|
|
dc.contributor.author |
Oosthuizen, Marinda
|
|
dc.contributor.author |
Mnisi, Zamantungwa T.H.
|
|
dc.date.accessioned |
2024-11-04T13:01:22Z |
|
dc.date.available |
2024-11-04T13:01:22Z |
|
dc.date.issued |
2024-05 |
|
dc.description |
DATA 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.abstract |
INTRODUCTION: 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.department |
Veterinary Tropical Diseases |
en_US |
dc.description.sdg |
SDG-03:Good heatlh and well-being |
en_US |
dc.description.sdg |
SDG-15:Life on land |
en_US |
dc.description.sponsorship |
The National Research Foundation of South Africa. |
en_US |
dc.description.uri |
https://www.frontiersin.org/journals/tropical-diseases |
en_US |
dc.identifier.citation |
Khoza, 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.issn |
2673-7515 (online) |
|
dc.identifier.other |
10.3389/fitd.2024.1399364 |
|
dc.identifier.uri |
http://hdl.handle.net/2263/98921 |
|
dc.language.iso |
en |
en_US |
dc.publisher |
Frontiers Media |
en_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.subject |
PacBio |
en_US |
dc.subject |
Anaplasma |
en_US |
dc.subject |
Bergville |
en_US |
dc.subject |
Harrismith |
en_US |
dc.subject |
Phuthaditjhaba |
en_US |
dc.subject |
Ticks |
en_US |
dc.subject |
16S rRNA |
en_US |
dc.subject |
SDG-03: Good health and well-being |
en_US |
dc.subject |
SDG-15: Life on land |
en_US |
dc.subject |
South Africa (SA) |
en_US |
dc.title |
Tick distribution and comparative analysis of bovine blood microbiome in two provinces of South Africa using 16S rRNA PacBio sequencing approach |
en_US |
dc.type |
Article |
en_US |