LAMP assay for rapid diagnosis of cow DNA in goat milk and meat samples

Authors

  • B. Prakash Molecular Genetics Laboratory, ICAR-Central Institute for Research on Cattle, Meerut-250 001, Uttar Pradesh, India
  • G. S. Sengar MSc in Biotechnology, Molecular Genetics Laboratory, ICAR-Central Institute for Research on Cattle, Meerut-250 001, Uttar Pradesh, India
  • R. Alex Molecular Genetics Laboratory, ICAR-Central Institute for Research on Cattle, Meerut-250 001, Uttar Pradesh, India
  • R. Deb Molecular Genetics Laboratory, ICAR-Central Institute for Research on Cattle, Meerut-250 001, Uttar Pradesh, India
  • R. R. Alyethodi Molecular Genetics Laboratory, ICAR-Central Institute for Research on Cattle, Meerut-250 001, Uttar Pradesh, India
  • S. Kumar Molecular Genetics Laboratory, ICAR-Central Institute for Research on Cattle, Meerut-250 001, Uttar Pradesh, India
  • T. V. Raja Molecular Genetics Laboratory, ICAR-Central Institute for Research on Cattle, Meerut-250 001, Uttar Pradesh, India
  • U. Singh Molecular Genetics Laboratory, ICAR-Central Institute for Research on Cattle, Meerut-250 001, Uttar Pradesh, India
Abstract:

Animal species detection is one of the crucial steps for consumer’s food analysis. In the present study we developed an in-house built loop-mediated isothermal amplification (LAMP) assay for rapid detection of adulterated cow DNA in goat milk/meat samples. The cow milk/tissue DNA in goat milk/meat samples were identified in the developed LAMP assay by either naked eye visualizing with SYBR Green I dyes or by detecting the typical ladder pattern on gel electrophoresis. This test can detect up to minimum 5% level of cow components admixed in goat milk/meat samples and can be completed within 1 h 40 min starting from DNA extraction from milk/meat samples and can be performed in a water bath. Developed LAMP methodology is simple; rapid and sensitive techniques that can detect adulterant like cow components in goat milk/meat are more accurate than other existing DNA based technologies.

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Journal title

volume 18  issue 2

pages  134- 137

publication date 2017-06-20

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