Evidence map›Paper›PMID 33558514›Full record

ArticleNPJ science of food2021

Monitoring the microbiome for food safety and quality using deep shotgun sequencing.

Kristen L Beck, Niina Haiminen, David Chambliss, Stefan Edlund, Mark Kunitomi, B Carol Huang, Nguyet Kong, Balasubramanian Ganesan, Robert Baker, Peter Markwell and 12 more

Open access · goldAbstract read
In one paragraph

Article in NPJ science of food, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
5.0field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 43 citations in OpenAlex.

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  17. 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

22 authors at 8 institutions in 3 countries.

Kristen L Beck *Consortium for Sequencing the Food Supply Chain, San Jose, CA, USA. klbeck@us.ibm.com.ORCID http://orcid.org/0000-0002-4603-0235
Niina Haiminen *Consortium for Sequencing the Food Supply Chain, San Jose, CA, USA.ORCID http://orcid.org/0000-0002-8663-1019
David ChamblissConsortium for Sequencing the Food Supply Chain, San Jose, CA, USA.ORCID http://orcid.org/0000-0003-0171-5166
Stefan EdlundConsortium for Sequencing the Food Supply Chain, San Jose, CA, USA.ORCID http://orcid.org/0000-0003-2786-2447
Mark KunitomiConsortium 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 http://orcid.org/0000-0001-8696-0405
Balasubramanian GanesanConsortium for Sequencing the Food Supply Chain, San Jose, CA, USA.ORCID http://orcid.org/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.
Ban KawasConsortium for Sequencing the Food Supply Chain, San Jose, CA, USA.ORCID http://orcid.org/0000-0003-4660-7310
Matthew DavisConsortium for Sequencing the Food Supply Chain, San Jose, CA, USA.
Robert J PrillConsortium for Sequencing the Food Supply Chain, San Jose, CA, USA.
Harsha KrishnareddyConsortium for Sequencing the Food Supply Chain, San Jose, CA, USA.ORCID http://orcid.org/0000-0002-9932-0076
Ed SeaboltConsortium for Sequencing the Food Supply Chain, San Jose, CA, USA.ORCID http://orcid.org/0000-0002-2286-0226
Carl H MarloweConsortium for Sequencing the Food Supply Chain, San Jose, CA, USA.
Sophie PierreConsortium for Sequencing the Food Supply Chain, San Jose, CA, USA.
André QuintanarConsortium for Sequencing the Food Supply Chain, San Jose, CA, USA.
Laxmi ParidaConsortium for Sequencing the Food Supply Chain, San Jose, CA, USA.ORCID http://orcid.org/0000-0002-7872-5074
Geraud DuboisConsortium for Sequencing the Food Supply Chain, San Jose, CA, USA.
James KaufmanConsortium for Sequencing the Food Supply Chain, San Jose, CA, USA.ORCID http://orcid.org/0000-0002-7049-7134
Bart C WeimerConsortium for Sequencing the Food Supply Chain, San Jose, CA, USA. bcweimer@ucdavis.edu.ORCID http://orcid.org/0000-0002-7471-1978
IBM Research - Almaden · USIBM (United States) · USBio-Rad (France) · FRDeleted InstitutionUniversity of California, Davis · USBio-Rad (United States) · USDepartment of Food Technology and Quality Control · NPWisdom Health (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, we hypothesized that shifts in the food microbiome can be used as an indicator of unexpected contaminants or environmental changes. To test this hypothesis, we sequenced the total RNA of 31 high protein powder (HPP) samples of poultry meal pet food ingredients. We developed a microbiome analysis pipeline employing a key eukaryotic matrix filtering step that improved microbe detection specificity to >99.96% during in silico validation. The pipeline identified 119 microbial genera per HPP sample on average with 65 genera present in all samples. The most abundant of these were Bacteroides, Clostridium, Lactococcus, Aeromonas, and Citrobacter. We also observed shifts in the microbial community corresponding to ingredient composition differences. When comparing culture-based results for Salmonella with total RNA sequencing, we found that Salmonella growth did not correlate with multiple sequence analyses. We conclude that microbiome sequencing is useful to characterize complex food microbial communities, while additional work is required for predicting specific species' viability from total RNA sequencing.

Identifiers

PMID33558514
PMCPMC7870667
OpenAlexW3128392697

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.