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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Main Authors: Afzan Mat Yusof, Najat Hashim, Muhammad Lokman Md Isa
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2017-05-01
Series:Asian Pacific Journal of Tropical Biomedicine
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2221169116307377
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spelling doaj-c6aec0a5898f42ac91ff654e3caff3eb2020-11-24T23:50:17ZengWolters Kluwer Medknow PublicationsAsian Pacific Journal of Tropical Biomedicine2221-16912017-05-017538538810.1016/j.apjtb.2017.01.008First molecular identification of Cryptosporidium by 18S rRNA in goats and association with farm management in TerengganuAfzan Mat Yusof0Najat Hashim1Muhammad Lokman Md Isa2Department of Basic Medical Sciences, Kulliyyah of Nursing, International Islamic University Malaysia, Jalan Hospital Campus, 25100 Kuantan, Pahang, MalaysiaDepartment of Biomedical Science, Kulliyyah of Allied Health Sciences, International Islamic University Malaysia, Jalan Sultan Ahmad Shah, Bandar Indera Mahkota, 25200 Kuantan, Pahang, MalaysiaDepartment of Basic Medical Sciences, Kulliyyah of Nursing, International Islamic University Malaysia, Jalan Hospital Campus, 25100 Kuantan, Pahang, MalaysiaObjective: 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.http://www.sciencedirect.com/science/article/pii/S2221169116307377CryptosporidiumGoat18S rRNA geneNested PCRTerengganu
collection DOAJ
language English
format Article
sources DOAJ
author Afzan Mat Yusof
Najat Hashim
Muhammad Lokman Md Isa
spellingShingle 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
Asian Pacific Journal of Tropical Biomedicine
Cryptosporidium
Goat
18S rRNA gene
Nested PCR
Terengganu
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
series Asian Pacific Journal of Tropical Biomedicine
issn 2221-1691
publishDate 2017-05-01
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.
topic Cryptosporidium
Goat
18S rRNA gene
Nested PCR
Terengganu
url http://www.sciencedirect.com/science/article/pii/S2221169116307377
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