FOOD SCIENCE

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Application of High Throughput Next-Generation Sequencing Based on DNA Barcoding Technology in Species Identification of Edible Oils

WU Ya-jun, YANG Yan-ge, LI Li, WANG Bin, LIU Ming-chang, CHEN Ying*   

  1. Chinese Academy of Inspection and Quarantine, Beijing 100123, China
  • Online:2014-12-25 Published:2014-12-29
  • Contact: CHEN Ying

Abstract:

This study aimed to testify the application of second-generation sequencing based on DNA barcoding technology
in the species identification of edible oils. Totally 14 species of oil crops including olive, peanut, soybean, oil sunflower,
maize, sesame, camellia, rapeseed, palm and pine nut as well as rice and wheat were selected. Mixtures of the polymerase
chain reaction (PCR) products of the 240 bp ribulose-1,5-bisphosphate carboxylase/oxygenase large subunit (rbcL) genes and
the rbcL genes amplified from DNA mixtures of these 16 crop species were sequenced by Ion Torrent PGMTM respectively.
The results demonstrated that all crop species except wheat were successfully identified. As for two mixture samples, the
reading ratio of each plant was consistent with the proportion of its PCR product. This study preliminarily proved that the
combined technique is capable of identifying the plant species in blended oils accurately and efficiently. The procedure could
be streamlined to be a promising detection method for oil product supervision in the near future.

Key words: next-generation sequencing, DNA barcoding, edible oil crops, detection

CLC Number: