Funding Information This study was partially supported by the Research Fellowships of the Japan Society for the Promotion of Science for Young Scientists.
Spread and change in stress resistance of Shiga toxin-producing Escherichia coli O157 on fungal colonies
Version of Record online: 6 AUG 2013
© 2013 The Authors. Microbial Biotechnology published by John Wiley & Sons Ltd and Society for Applied Microbiology.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Special Issue: Pathogens in Vegetables. Guest Editors: Ute Römling and Sima Yaron
Volume 7, Issue 6, pages 621–629, November 2014
How to Cite
Lee, K.-i., Kobayashi, N., Watanabe, M., Sugita-Konishi, Y., Tsubone, H., Kumagai, S. and Hara-Kudo, Y. (2014), Spread and change in stress resistance of Shiga toxin-producing Escherichia coli O157 on fungal colonies. Microbial Biotechnology, 7: 621–629. doi: 10.1111/1751-7915.12071
Public Interest: Food-borne enterohaemorrhagic, Shiga toxin-producing E. coli 0157 (EHEC, STEC) causes outbreaks of severe diarrhoea which, in some cases progresses to kidney damage [haemolytic uraemic syndrome, (HUS)]. Public awareness of EHEC was raised by recent hamburger-transmitted outbreaks of the disease. This work reveals that fungal contamination of food may increase spread of co-contaminating STEC within the food, because the fungal mycelial network creates migration conduits for the bacteria. The physiological environment of the mycelial conduits also seems to increase bacterial resistance to stresses.
- Issue online: 29 OCT 2014
- Version of Record online: 6 AUG 2013
- Manuscript Accepted: 24 MAY 2013
- Manuscript Received: 30 MAR 2012
- Research Fellowships of the Japan Society
Total views by type:
Publication date: 6 Aug 2013. Cumulative views from 6 Aug 2013 - 1 Aug 2016.
- Total views: 939
- Total PDF views: 397
- Total HTML views: 542
- * Although we update our data on a daily basis (not in real time), there may be a 48-hour delay before the most recent numbers are available.
About this data
Usage data should be viewed in relation to:
- the publication date (older articles will generally have higher usage).
- the relevance of the article to a broad community (some articles will be extremely important but to smaller sections of the research community), and
- the availability and usage of the article through other sources
Article usage data is not a precise measure of an individual article's importance and should only be considered alongside other measures of visibility/importance.