Food authentication from shotgun sequencing reads with an application on high protein powders View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-11-19

AUTHORS

Niina Haiminen, Stefan Edlund, David Chambliss, Mark Kunitomi, Bart C. Weimer, Balasubramanian Ganesan, Robert Baker, Peter Markwell, Matthew Davis, B. Carol Huang, Nguyet Kong, Robert J. Prill, Carl H. Marlowe, André Quintanar, Sophie Pierre, Geraud Dubois, James H. Kaufman, Laxmi Parida, Kristen L. Beck

ABSTRACT

Here we propose that using shotgun sequencing to examine food leads to accurate authentication of ingredients and detection of contaminants. To demonstrate this, we developed a bioinformatic pipeline, FASER (Food Authentication from SEquencing Reads), designed to resolve the relative composition of mixtures of eukaryotic species using RNA or DNA sequencing. Our comprehensive database includes >6000 plants and animals that may be present in food. FASER accurately identified eukaryotic species with 0.4% median absolute difference between observed and expected proportions on sequence data from various sources including sausage meat, plants, and fish. FASER was applied to 31 high protein powder raw factory ingredient total RNA samples. The samples mostly contained the expected source ingredient, chicken, while three samples unexpectedly contained pork and beef. Our results demonstrate that DNA/RNA sequencing of food ingredients, combined with a robust analysis, can be used to find contaminants and authenticate food ingredients in a single assay. More... »

PAGES

24

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41538-019-0056-6

DOI

http://dx.doi.org/10.1038/s41538-019-0056-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1122694491

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/31754632


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18 schema:description Here we propose that using shotgun sequencing to examine food leads to accurate authentication of ingredients and detection of contaminants. To demonstrate this, we developed a bioinformatic pipeline, FASER (Food Authentication from SEquencing Reads), designed to resolve the relative composition of mixtures of eukaryotic species using RNA or DNA sequencing. Our comprehensive database includes >6000 plants and animals that may be present in food. FASER accurately identified eukaryotic species with 0.4% median absolute difference between observed and expected proportions on sequence data from various sources including sausage meat, plants, and fish. FASER was applied to 31 high protein powder raw factory ingredient total RNA samples. The samples mostly contained the expected source ingredient, chicken, while three samples unexpectedly contained pork and beef. Our results demonstrate that DNA/RNA sequencing of food ingredients, combined with a robust analysis, can be used to find contaminants and authenticate food ingredients in a single assay.
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25 DNA/RNA sequencing
26 FASER
27 RNA
28 RNA samples
29 RNA sequencing
30 absolute difference
31 accurate authentication
32 analysis
33 animals
34 applications
35 assays
36 authentication
37 beef
38 bioinformatics pipeline
39 chickens
40 composition
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42 contaminants
43 data
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45 detection
46 detection of contaminants
47 differences
48 eukaryotic species
49 fish
50 food
51 food authentication
52 food ingredients
53 high protein
54 high protein powders
55 ingredients
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57 median absolute difference
58 mixture
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61 pork
62 powder
63 proportion
64 protein
65 protein powder
66 reads
67 relative composition
68 results
69 robust analysis
70 samples
71 sausage meat
72 sequence data
73 sequencing
74 sequencing reads
75 shotgun sequencing
76 shotgun sequencing reads
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79 source ingredients
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