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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Published in:Asian Pacific Journal of Tropical Biomedicine
Main Authors: Afzan Mat Yusof, Najat Hashim, Muhammad Lokman Md Isa
Format: Article in Journal/Newspaper
Language:English
Published: Wolters Kluwer Medknow Publications 2017
Subjects:
Online Access:https://doi.org/10.1016/j.apjtb.2017.01.008
https://doaj.org/article/c6aec0a5898f42ac91ff654e3caff3eb
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spelling 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
institution Open Polar
collection 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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