Application of culture, PCR, and PacBio sequencing for determination of microbial composition of milk from subclinical mastitis dairy cows of smallholder farms

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dc.contributor.author Khasapane, Ntelekwane G.
dc.contributor.author Nkhebenyane, Jane S.
dc.contributor.author Kwenda, Stanford
dc.contributor.author Khumalo, Zamantungwa Thobeka Happiness
dc.contributor.author Mtshali, Phillip S.
dc.contributor.author Taioe, Moeti O.
dc.contributor.author Thekisoe, Oriel M.M.
dc.date.accessioned 2021-12-08T12:55:10Z
dc.date.available 2021-12-08T12:55:10Z
dc.date.issued 2021
dc.description.abstract Mastitis is a cow disease usually signalized by irritation, swelling, and soreness of the udder. It is characterized by physical, chemical, and biological changes in the udder and milk. The aim of this study was to detect and characterize pathogens causing subclinical mastitis (SCM) from the milk of dairy cows of small-scale farmers through culture and molecular techniques. Milk was collected from 32 cows belonging to 8 small-scale farmers around Harrismith District, South Africa. The results showed that screening of SCM by California mastitis test and somatic cell counts (SCC) was 21.87 and 25%, respectively. Culture methods revealed the presence of Staphylococcus aureus at 93% followed by Streptococci spp. and Escherichia coli at 36.4 and 13.3%, respectively. The PCR could only detect E. coli, while single-molecule real-time sequencing showed a total of 2 phyla, 5 families, 7 genera, and 131 species. Clostridiaceae was the most abundant family, while Romboutsia was the most abundant genus followed by Turicibacter spp. The present study has documented the occurrence of SCM causing pathogens in milk collected from cows of small-scale farmers in Harrismith, indicating that SCM may be present at higher levels than expected. en_ZA
dc.description.department Veterinary Tropical Diseases en_ZA
dc.description.librarian pm2021 en_ZA
dc.description.sponsorship Central University of Technology Innovation fund and the National Research Foundation (NRF). en_ZA
dc.description.uri https://www.degruyter.com/view/j/biol en_ZA
dc.identifier.citation Khasapane, N.G., Nkhebenyane, J.S., Kwenda, S. et al. 2020, 'Application of culture, PCR, and PacBio sequencing for determination of microbial composition of milk from subclinical mastitis dairy cows of smallholder farms', Open Life Sciences, vol. 16, pp. 800–808. en_ZA
dc.identifier.issn 2391-5412 (online)
dc.identifier.other 10.1515/biol-2021-0080
dc.identifier.uri http://hdl.handle.net/2263/82999
dc.language.iso en en_ZA
dc.publisher De Gruyter Open en_ZA
dc.rights © 2021 Ntelekwane G. Khasapane et al., published by De Gruyter. This work is licensed under the Creative Commons Attribution 4.0 International License. en_ZA
dc.subject Microbiota en_ZA
dc.subject Mastitis en_ZA
dc.subject 16S ribosomal RNA en_ZA
dc.subject DNA sequencing en_ZA
dc.subject Microbial milk composition en_ZA
dc.subject Subclinical mastitis (SCM) en_ZA
dc.subject.other Veterinary science articles SDG-01 en_ZA
dc.subject.other Veterinary science articles SDG-02 en_ZA
dc.subject.other SDG-02: Zero hunger
dc.subject.other SDG-01: No poverty
dc.title Application of culture, PCR, and PacBio sequencing for determination of microbial composition of milk from subclinical mastitis dairy cows of smallholder farms en_ZA
dc.type Article en_ZA


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