Isolation and Incidence of Cryptosporidium and Giardia from River Water

Autor: Kazuo Ono, Takuro Endo, Kunio Shimada, Hidetaka Tsuji, Kuniyoshi Masuda
Rok vydání: 2001
Předmět:
Zdroj: Journal of the Japanese Association for Infectious Diseases. 75:201-208
ISSN: 1884-569X
0387-5911
Popis: A study was conducted during the period from July to October in 1999, surface water samples were collected from 13 rivers in Hyogo Prefecture serving as tap water sources and examined for Cryptosporidium oocysts and Giardia cysts using the immunomagnetic separation method. In 9 (69%) of the 13 rivers, Cryptosporidium oocyst was detected. Giardia cyst was detected in 5 (38%) of the 13 rivers. The Cryptosporidium oocyst positive rate was comparable to that of fecal bacteriological indicators, which was also examined and detected in 10 (77%) of 13 rivers. Water samples were collected at 69 points in the 13 rivers. Cryptosporidium parvum oocyst was detected at 38 (55%) of the 69 points, demonstrating widely spread contamination. Comparing 3 areas which were divided on the basis of agricultural circumstance as well as geographical locating, the Cryptosporidium positive rate varied widely according to the area, ranging from 37% to 100%. To elucidate the reason for these differences, the relationship between positive rate and the species and number of livestock animals raised in each respective region was investigated. The results showed a strong correlation (r = 0.91) between the number of raised cattle and contamination with the rate of Cryptosporidium in each area. Furthermore, genetic analysis by PCR-restriction fragment length polymophism method revealed that C. parvum oocyst detected in the rivers studied was the bovine type, probably indicating that the oocyst was excreted from the cattle in the river basins. The degree of contamination with Cryptosporidium in river water was comparable to that of fecal bacteriological indicators, suggesting the possibility that fecal bacteriological indicators examination might be used as a criterion of Cryptosporidium contamination.
Databáze: OpenAIRE