Simultaneous Molecular Detection of Cryptosporidium and Cyclospora from Raw Vegetables in Korea
and are well-known coccidian protozoa that can cause waterborne and foodborne diarrheal illnesses. There have been a few reports regarding contamination in different vegetables with , but no data are available regarding the sources of infections in Korea. In the present study, we collected 6 kinds o...
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Published in | Korean journal of parasitology Vol. 55; no. 2; pp. 137 - 142 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Korea (South)
대한기생충학열대의학회
01.04.2017
The Korean Society for Parasitology and Tropical Medicine |
Subjects | |
Online Access | Get full text |
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Summary: | and
are well-known coccidian protozoa that can cause waterborne and foodborne diarrheal illnesses. There have been a few reports regarding contamination in different vegetables with
, but no data are available regarding the sources of
infections in Korea. In the present study, we collected 6 kinds of vegetables (perilla leaves, winter-grown cabbages, chives, sprouts, blueberries, and cherry tomatoes) from July 2014 to June 2015, and investigated contamination by these 2 protozoa using multiplex quantitative real-time PCR. Among 404 vegetables,
and
were detected in 31 (7.7%) and 5 (1.2%) samples, respectively. In addition,
was isolated from all 6 kinds of vegetables, whereas
was detected in 4 kinds of vegetables (except perilla leaves and chives).
(17.8%) and
(2.9%) had the highest detection rates in chives and winter-grown cabbages, respectively.
was detected all year long; however,
was detected only from October to January. In 2 samples (sprout and blueberry), both
and
were detected. Further investigations using
I restriction enzyme fragmentation and nested PCR confirmed
and
, respectively. In conclusion, we detected
in vegetables for the first time in Korea. This suggests that screening should be employed to prevent these protozoal infections in Korea. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0023-4001 1738-0006 |
DOI: | 10.3347/kjp.2017.55.2.137 |