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

dc.contributor.authorKhasapane, Ntelekwane G.
dc.contributor.authorNkhebenyane, Jane S.
dc.contributor.authorKwenda, Stanford
dc.contributor.authorKhumalo, Zamantungwa Thobeka Happiness
dc.contributor.authorMtshali, Phillip S.
dc.contributor.authorTaioe, Moeti O.
dc.contributor.authorThekisoe, Oriel M.M.
dc.date.accessioned2021-12-08T12:55:10Z
dc.date.available2021-12-08T12:55:10Z
dc.date.issued2021
dc.description.abstractMastitis 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.departmentVeterinary Tropical Diseasesen_ZA
dc.description.librarianpm2021en_ZA
dc.description.sponsorshipCentral University of Technology Innovation fund and the National Research Foundation (NRF).en_ZA
dc.description.urihttps://www.degruyter.com/view/j/biolen_ZA
dc.identifier.citationKhasapane, 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.issn2391-5412 (online)
dc.identifier.other10.1515/biol-2021-0080
dc.identifier.urihttp://hdl.handle.net/2263/82999
dc.language.isoenen_ZA
dc.publisherDe Gruyter Openen_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.subjectMicrobiotaen_ZA
dc.subjectMastitisen_ZA
dc.subject16S ribosomal RNAen_ZA
dc.subjectDNA sequencingen_ZA
dc.subjectMicrobial milk compositionen_ZA
dc.subjectSubclinical mastitis (SCM)en_ZA
dc.subject.otherVeterinary science articles SDG-01en_ZA
dc.subject.otherVeterinary science articles SDG-02en_ZA
dc.subject.otherSDG-02: Zero hunger
dc.subject.otherSDG-01: No poverty
dc.titleApplication of culture, PCR, and PacBio sequencing for determination of microbial composition of milk from subclinical mastitis dairy cows of smallholder farmsen_ZA
dc.typeArticleen_ZA

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Khasapane_Application_2021.pdf
Size:
1.14 MB
Format:
Adobe Portable Document Format
Description:
Article

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: