First molecular identification of Cryptosporidium by 18S rRNA in goats and association with farm management in Terengganu
Objective: To identify the prevalence of Cryptosporidium from goats in three types of farm management systems in Terengganu, Malaysia and to determine the Cryptosporidium species infecting goats by using 18S rRNA. Methods: A total of 478 fecal samples were randomly collected from goats in three farm...
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Wolters Kluwer Medknow Publications
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ftdoajarticles:oai:doaj.org/article:c6aec0a5898f42ac91ff654e3caff3eb 2023-05-15T15:07:40+02:00 First molecular identification of Cryptosporidium by 18S rRNA in goats and association with farm management in Terengganu Afzan Mat Yusof Najat Hashim Muhammad Lokman Md Isa 2017-05-01T00:00:00Z https://doi.org/10.1016/j.apjtb.2017.01.008 https://doaj.org/article/c6aec0a5898f42ac91ff654e3caff3eb EN eng Wolters Kluwer Medknow Publications http://www.sciencedirect.com/science/article/pii/S2221169116307377 https://doaj.org/toc/2221-1691 2221-1691 doi:10.1016/j.apjtb.2017.01.008 https://doaj.org/article/c6aec0a5898f42ac91ff654e3caff3eb Asian Pacific Journal of Tropical Biomedicine, Vol 7, Iss 5, Pp 385-388 (2017) Cryptosporidium Goat 18S rRNA gene Nested PCR Terengganu Arctic medicine. Tropical medicine RC955-962 Biology (General) QH301-705.5 article 2017 ftdoajarticles https://doi.org/10.1016/j.apjtb.2017.01.008 2022-12-31T04:44:11Z Objective: To identify the prevalence of Cryptosporidium from goats in three types of farm management systems in Terengganu, Malaysia and to determine the Cryptosporidium species infecting goats by using 18S rRNA. Methods: A total of 478 fecal samples were randomly collected from goats in three farms; 199 samples were collected from intensive farm, 179 samples from semi-intensive farm and 100 samples from extensive farm. The samples were processed by using formol-ether concentration technique and stained by using modified Ziehl–Neelsen. Positive samples were performed by using nested PCR analysis by using 18S rRNA. Results: Out of 478 goats, 207 (43.3%) were found to be infected with Cryptosporidium. Goats reared under the intensive farm management system reported the highest prevalence of infection (49.7%), followed by intensive farm management system (41%) and the lowest prevalence was reported in the goats reared under semi-intensive management system (37.4%). Conclusions: The identified species found in goat was Cryptosporidium parvum. Future study on the zoonotic transmission of Cryptosporidium parvum in goats needs to be done in order to find the source of transmission of this parasite. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Asian Pacific Journal of Tropical Biomedicine 7 5 385 388 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Cryptosporidium Goat 18S rRNA gene Nested PCR Terengganu Arctic medicine. Tropical medicine RC955-962 Biology (General) QH301-705.5 |
spellingShingle |
Cryptosporidium Goat 18S rRNA gene Nested PCR Terengganu Arctic medicine. Tropical medicine RC955-962 Biology (General) QH301-705.5 Afzan Mat Yusof Najat Hashim Muhammad Lokman Md Isa First molecular identification of Cryptosporidium by 18S rRNA in goats and association with farm management in Terengganu |
topic_facet |
Cryptosporidium Goat 18S rRNA gene Nested PCR Terengganu Arctic medicine. Tropical medicine RC955-962 Biology (General) QH301-705.5 |
description |
Objective: To identify the prevalence of Cryptosporidium from goats in three types of farm management systems in Terengganu, Malaysia and to determine the Cryptosporidium species infecting goats by using 18S rRNA. Methods: A total of 478 fecal samples were randomly collected from goats in three farms; 199 samples were collected from intensive farm, 179 samples from semi-intensive farm and 100 samples from extensive farm. The samples were processed by using formol-ether concentration technique and stained by using modified Ziehl–Neelsen. Positive samples were performed by using nested PCR analysis by using 18S rRNA. Results: Out of 478 goats, 207 (43.3%) were found to be infected with Cryptosporidium. Goats reared under the intensive farm management system reported the highest prevalence of infection (49.7%), followed by intensive farm management system (41%) and the lowest prevalence was reported in the goats reared under semi-intensive management system (37.4%). Conclusions: The identified species found in goat was Cryptosporidium parvum. Future study on the zoonotic transmission of Cryptosporidium parvum in goats needs to be done in order to find the source of transmission of this parasite. |
format |
Article in Journal/Newspaper |
author |
Afzan Mat Yusof Najat Hashim Muhammad Lokman Md Isa |
author_facet |
Afzan Mat Yusof Najat Hashim Muhammad Lokman Md Isa |
author_sort |
Afzan Mat Yusof |
title |
First molecular identification of Cryptosporidium by 18S rRNA in goats and association with farm management in Terengganu |
title_short |
First molecular identification of Cryptosporidium by 18S rRNA in goats and association with farm management in Terengganu |
title_full |
First molecular identification of Cryptosporidium by 18S rRNA in goats and association with farm management in Terengganu |
title_fullStr |
First molecular identification of Cryptosporidium by 18S rRNA in goats and association with farm management in Terengganu |
title_full_unstemmed |
First molecular identification of Cryptosporidium by 18S rRNA in goats and association with farm management in Terengganu |
title_sort |
first molecular identification of cryptosporidium by 18s rrna in goats and association with farm management in terengganu |
publisher |
Wolters Kluwer Medknow Publications |
publishDate |
2017 |
url |
https://doi.org/10.1016/j.apjtb.2017.01.008 https://doaj.org/article/c6aec0a5898f42ac91ff654e3caff3eb |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Asian Pacific Journal of Tropical Biomedicine, Vol 7, Iss 5, Pp 385-388 (2017) |
op_relation |
http://www.sciencedirect.com/science/article/pii/S2221169116307377 https://doaj.org/toc/2221-1691 2221-1691 doi:10.1016/j.apjtb.2017.01.008 https://doaj.org/article/c6aec0a5898f42ac91ff654e3caff3eb |
op_doi |
https://doi.org/10.1016/j.apjtb.2017.01.008 |
container_title |
Asian Pacific Journal of Tropical Biomedicine |
container_volume |
7 |
container_issue |
5 |
container_start_page |
385 |
op_container_end_page |
388 |
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1766339122704678912 |