Literature DB >> 11198432

Identification of bovine-specific DNA in feedstuffs.

P Krcmár1, E Rencová.   

Abstract

Considering the menace of transmission of bovine spongiform encephalopathy, feed components intended for cattle nutrition must be checked for the presence of bovine-derived materials. We have been using a method based on polymerase chain reaction for the identification of bovine-specific mitochondrial DNA sequences for this purpose. The specificity of the primers for polymerase chain reaction has been tested using samples of DNA of other vertebrate species, which may also be present in rendering plant products. The method allows the detection in concentrate mixtures of 0.125% of bovine-derived material. Bovine DNA at concentrations corresponding to less than 0.5% of bovine-derived material was detected in 3 of the 30 samples of concentrate mixtures collected from distributors' stores all over the Czech Republic. All 44 samples of fish meal collected from the same sources were free of bovine-derived material.

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Year:  2001        PMID: 11198432     DOI: 10.4315/0362-028x-64.1.117

Source DB:  PubMed          Journal:  J Food Prot        ISSN: 0362-028X            Impact factor:   2.077


  3 in total

1.  Development of species identification tests targeting the 16S ribosomal RNA coding region in mitochondrial DNA.

Authors:  Kazuhiko Imaizumi; Tomoko Akutsu; Sachio Miyasaka; Mineo Yoshino
Journal:  Int J Legal Med       Date:  2006-11-16       Impact factor: 2.686

2.  Species-specific identification of adulteration in cooked mutton Rista (a Kashmiri Wazwan cuisine product) with beef and buffalo meat through multiplex polymerase chain reaction.

Authors:  M Mansoor Bhat; Mir Salahuddin; Imtiyaz A Mantoo; Sheikh Adil; Henna Jalal; M Ashraf Pal
Journal:  Vet World       Date:  2016-03-03

3.  Droplet digital polymerase chain reaction (ddPCR) assays integrated with an internal control for quantification of bovine, porcine, chicken and turkey species in food and feed.

Authors:  Hanan R Shehata; Jiping Li; Shu Chen; Helen Redda; Shumei Cheng; Nicole Tabujara; Honghong Li; Keith Warriner; Robert Hanner
Journal:  PLoS One       Date:  2017-08-10       Impact factor: 3.240

  3 in total

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