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Quantification of Escherichia coli O157:H7 in milk by most probable number –polymerase chain reaction (MPN-PCR) method

نویسنده:
عبداله جمشیدی
,
سارا محمدی
,
اعظم محمدی
,
Abdollah Jamshidi
,
Azam Mohammadi
سال
: 2011
چکیده: Escherichia coli O157:H7 has been recognized as one of the most important causes of potentially lifethreatening

human diseases such as haemorrhagic colitis, haemolytic ureamic syndrome and

thrombotic thrombocytopenic purpura. To combine the principles of most-probable-number (MPN)

statistics and the conventional polymerase chain reaction (PCR) technique to enumerate E. coli

O157:H7 in milk, from 101 to 105 ml-1 of bacterial cells were inoculated in sterilized milk. Different

background microorganisms including Gram positive and Gram negative bacteria were also inoculated.

Modified MPN dilutions from inoculated milk sample with three replicates per dilution were prepared

and enumeration was performed by DNA extraction from tubes showing turbidity and performing

multiplex-PCR (m-PCR) using primers specific for O157 and H7 antigens gene. This MPN-PCR proved to

be a rapid and reliable method for enumerating E. coli O157:H7 in milk at the lowest level (101 cfu.ml-1),

even in the presence of different Gram positive and Gram negative background microorganisms. It may

facilitate the enumeration of E. coli O157:H7 for routine analyses in milk without excessive work and

could be considered as an alternative to MPN- culture techniques.
یو آر آی: http://libsearch.um.ac.ir:80/fum/handle/fum/3341964
کلیدواژه(گان): E,coli O157:H7,milk,most probable number-polymerase chain reaction (MPN-PCR),most

probable number (MPN) - culture
,
multiplex- polymerase chain reaction (m-PCR)
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    Quantification of Escherichia coli O157:H7 in milk by most probable number –polymerase chain reaction (MPN-PCR) method

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contributor authorعبداله جمشیدیen
contributor authorسارا محمدیen
contributor authorاعظم محمدیen
contributor authorAbdollah Jamshidifa
contributor authorAzam Mohammadifa
date accessioned2020-06-06T13:06:35Z
date available2020-06-06T13:06:35Z
date issued2011
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/3341964
description abstractEscherichia coli O157:H7 has been recognized as one of the most important causes of potentially lifethreatening

human diseases such as haemorrhagic colitis, haemolytic ureamic syndrome and

thrombotic thrombocytopenic purpura. To combine the principles of most-probable-number (MPN)

statistics and the conventional polymerase chain reaction (PCR) technique to enumerate E. coli

O157:H7 in milk, from 101 to 105 ml-1 of bacterial cells were inoculated in sterilized milk. Different

background microorganisms including Gram positive and Gram negative bacteria were also inoculated.

Modified MPN dilutions from inoculated milk sample with three replicates per dilution were prepared

and enumeration was performed by DNA extraction from tubes showing turbidity and performing

multiplex-PCR (m-PCR) using primers specific for O157 and H7 antigens gene. This MPN-PCR proved to

be a rapid and reliable method for enumerating E. coli O157:H7 in milk at the lowest level (101 cfu.ml-1),

even in the presence of different Gram positive and Gram negative background microorganisms. It may

facilitate the enumeration of E. coli O157:H7 for routine analyses in milk without excessive work and

could be considered as an alternative to MPN- culture techniques.
en
languageEnglish
titleQuantification of Escherichia coli O157:H7 in milk by most probable number –polymerase chain reaction (MPN-PCR) methoden
typeJournal Paper
contenttypeExternal Fulltext
subject keywordsEen
subject keywordscoli O157:H7en
subject keywordsmilken
subject keywordsmost probable number-polymerase chain reaction (MPN-PCR)en
subject keywordsmost

probable number (MPN) - culture
en
subject keywordsmultiplex- polymerase chain reaction (m-PCR)en
journal titleAfrican Journal of Microbiology Researchfa
pages4588-4591
journal volume5
journal issue26
identifier linkhttps://profdoc.um.ac.ir/paper-abstract-1025804.html
identifier articleid1025804
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