181
Views
26
CrossRef citations to date
0
Altmetric
Original Article

Investigations and comparative detection of Cryptosporidium species by microscopy, nested PCR and LAMP in water supplies of Ordu, Middle Black Sea, Turkey

, &
Pages 607-615 | Received 18 Jul 2011, Accepted 11 Nov 2011, Published online: 22 Nov 2013
 

Abstract

A total of 70 water samples, including tap, river, fountain and well water were collected in the Ordu province, Middle Black Sea, Turkey and investigated for the detection of Cryptosporidium oocysts. The samples were directly screened microscopically for Cryptosporidium oocysts’ detection by immunofluorescence test and subsequently DNA was extracted for the molecular detection by loop-mediated isothermal amplification (LAMP) and nested polymerase chain reaction (PCR). Eighteen out of the 70 (25·7%) water samples were found positive for Cryptosporidium spp. by immunofluorescence test and 19 (27·1%) were found positive by LAMP. Nested PCR products were not generated in any of the investigated water samples. A total of 16 randomly selected pellets were spiked with 10 Cryptosporidium oocysts to test the efficiency of the applied method. All the samples were found positive by LAMP for the presence of Cryptosporidium DNA, while the nested PCR assay was positive in only seven (43·75%) out of the 16 examined spiked samples. This is the first report on the occurrence of Cryptosporidium species in environmental and drinking water supplies in the Black Sea area.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 346.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.