First molecular identification of Cryptosporidium by 18S rRNA in goats and association with farm management in Terengganu

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 far...

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Main Authors: Mat Yusof, Afzan, Hashim, Najat, Md Isa, Muhammad Lokman
Format: Article
Language:English
English
Published: Wolters Kluwer Medknow Publications 2017
Subjects:
Q Science (General)
Online Access:http://irep.iium.edu.my/56137/
http://irep.iium.edu.my/56137/
http://irep.iium.edu.my/56137/
http://irep.iium.edu.my/56137/1/11.%20Yusof%20et%20al.%2C%20%282017%29.pdf
http://irep.iium.edu.my/56137/7/56137-First%20molecular%20identification%20of%20Cryptosporidium_SCOPUS.pdf
id iium-56137
recordtype eprints
spelling iium-561372018-04-27T00:51:47Z http://irep.iium.edu.my/56137/ First molecular identification of Cryptosporidium by 18S rRNA in goats and association with farm management in Terengganu Mat Yusof, Afzan Hashim, Najat Md Isa, Muhammad Lokman Q Science (General) 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 formolether 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. Wolters Kluwer Medknow Publications 2017-05-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/56137/1/11.%20Yusof%20et%20al.%2C%20%282017%29.pdf application/pdf en http://irep.iium.edu.my/56137/7/56137-First%20molecular%20identification%20of%20Cryptosporidium_SCOPUS.pdf Mat Yusof, Afzan and Hashim, Najat and Md Isa, Muhammad Lokman (2017) First molecular identification of Cryptosporidium by 18S rRNA in goats and association with farm management in Terengganu. Asian Pacific Journal of Tropical Biomedicine, 7 (5). pp. 385-388. ISSN 2221-1691 E-ISSN 2588-9222 http://www.sciencedirect.com/science/article/pii/S2221169116307377 10.1016/j.apjtb.2017.01.008
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic Q Science (General)
spellingShingle Q Science (General)
Mat Yusof, Afzan
Hashim, Najat
Md Isa, Muhammad Lokman
First molecular identification of Cryptosporidium by 18S rRNA in goats and association with farm management in Terengganu
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 formolether 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
author Mat Yusof, Afzan
Hashim, Najat
Md Isa, Muhammad Lokman
author_facet Mat Yusof, Afzan
Hashim, Najat
Md Isa, Muhammad Lokman
author_sort Mat Yusof, Afzan
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 http://irep.iium.edu.my/56137/
http://irep.iium.edu.my/56137/
http://irep.iium.edu.my/56137/
http://irep.iium.edu.my/56137/1/11.%20Yusof%20et%20al.%2C%20%282017%29.pdf
http://irep.iium.edu.my/56137/7/56137-First%20molecular%20identification%20of%20Cryptosporidium_SCOPUS.pdf
first_indexed 2023-09-18T21:19:13Z
last_indexed 2023-09-18T21:19:13Z
_version_ 1777411768224579584

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