Evidence map›Paper›PMID 31754632›Full record

ArticleNPJ science of food2019

Food authentication from shotgun sequencing reads with an application on high protein powders.

Niina Haiminen, Stefan Edlund, David Chambliss, Mark Kunitomi, Bart C Weimer, Balasubramanian Ganesan, Robert Baker, Peter Markwell, Matthew Davis, B Carol Huang and 9 more

Open access · goldAbstract read
In one paragraph

Article in NPJ science of food, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.4field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 44 citations in OpenAlex.

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  8. Frontiers in cell and developmental biology · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors at 6 institutions in 2 countries.

Niina HaiminenConsortium for Sequencing the Food Supply Chain, San Jose, CA USA.ORCID 0000-0002-8663-1019
Stefan EdlundConsortium for Sequencing the Food Supply Chain, San Jose, CA USA.ORCID 0000-0003-2786-2447
David ChamblissConsortium for Sequencing the Food Supply Chain, San Jose, CA USA.ORCID 0000-0003-0171-5166
Mark KunitomiConsortium for Sequencing the Food Supply Chain, San Jose, CA USA.
Bart C WeimerConsortium for Sequencing the Food Supply Chain, San Jose, CA USA.ORCID 0000-0002-7471-1978
Balasubramanian GanesanConsortium for Sequencing the Food Supply Chain, San Jose, CA USA.ORCID 0000-0001-7835-881X
Robert BakerConsortium for Sequencing the Food Supply Chain, San Jose, CA USA.
Peter MarkwellConsortium for Sequencing the Food Supply Chain, San Jose, CA USA.
Matthew DavisConsortium for Sequencing the Food Supply Chain, San Jose, CA USA.
B Carol HuangConsortium for Sequencing the Food Supply Chain, San Jose, CA USA.
Nguyet KongConsortium for Sequencing the Food Supply Chain, San Jose, CA USA.ORCID 0000-0001-8696-0405
Robert J PrillConsortium for Sequencing the Food Supply Chain, San Jose, CA USA.
Carl H MarloweConsortium for Sequencing the Food Supply Chain, San Jose, CA USA.
André QuintanarConsortium for Sequencing the Food Supply Chain, San Jose, CA USA.
Sophie PierreConsortium for Sequencing the Food Supply Chain, San Jose, CA USA.
Geraud DuboisConsortium for Sequencing the Food Supply Chain, San Jose, CA USA.
James H KaufmanConsortium for Sequencing the Food Supply Chain, San Jose, CA USA.ORCID 0000-0002-7049-7134
Laxmi ParidaConsortium for Sequencing the Food Supply Chain, San Jose, CA USA.ORCID 0000-0002-7872-5074
Kristen L BeckConsortium for Sequencing the Food Supply Chain, San Jose, CA USA.ORCID 0000-0002-4603-0235
IBM Research - Almaden · USMars (United States) · USUniversity of California, Davis · USBio-Rad (France) · FRIBM Research - Thomas J. Watson Research Center · USBio-Rad (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Food microbiologyMetagenomics

Identifiers

PMID31754632
PMCPMC6863864
OpenAlexW2990705947

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.