Evidence map›Paper›PMID 34686940›Full record

ReviewInternational microbiology : the official journal of the Spanish Society for Microbiology2021

Novel methods of microbiome analysis in the food industry.

Carlos Sabater, José F Cobo-Díaz, Avelino Álvarez-Ordóñez, Patricia Ruas-Madiedo, Lorena Ruiz, Abelardo Margolles

Abstract readReview
PubMed Publisher
In one paragraph

Review in International microbiology : the official journal of the Spanish Society for Microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 22 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Carlos SabaterDepartment of Microbiology and Biochemistry of Dairy Products, Instituto de Productos Lácteos de Asturias-Consejo Superior de Investigaciones Científicas (IPLA-CSIC), Paseo Río Linares s/n, 33300, Villaviciosa, Asturias, Spain.
José F Cobo-DíazDepartment of Food Hygiene and Technology and Institute of Food Science and Technology, Universidad de León, León, Spain.
Avelino Álvarez-OrdóñezDepartment of Food Hygiene and Technology and Institute of Food Science and Technology, Universidad de León, León, Spain.
Patricia Ruas-MadiedoDepartment of Microbiology and Biochemistry of Dairy Products, Instituto de Productos Lácteos de Asturias-Consejo Superior de Investigaciones Científicas (IPLA-CSIC), Paseo Río Linares s/n, 33300, Villaviciosa, Asturias, Spain.
Lorena RuizDepartment of Microbiology and Biochemistry of Dairy Products, Instituto de Productos Lácteos de Asturias-Consejo Superior de Investigaciones Científicas (IPLA-CSIC), Paseo Río Linares s/n, 33300, Villaviciosa, Asturias, Spain. lorena.ruiz@ipla.csic.es.ORCID http://orcid.org/0000-0001-8199-5502
Abelardo MargollesDepartment of Microbiology and Biochemistry of Dairy Products, Instituto de Productos Lácteos de Asturias-Consejo Superior de Investigaciones Científicas (IPLA-CSIC), Paseo Río Linares s/n, 33300, Villaviciosa, Asturias, Spain.
Consejo Superior de Investigaciones Científicas · ESUniversidad de León · ES

Funding

agencia estatal de investigación AGL2016-78085-Pagencia estatal de investigación AGL2016-78311-Ragencia estatal de investigación FJC2019-042125-Iagencia estatal de investigación RTI2018-095021-J-I00h2020 food 818368
6 · The paper itself

Abstract

The study of the food microbiome has gained considerable interest in recent years, mainly due to the wide range of applications that can be derived from the analysis of metagenomes. Among these applications, it is worth mentioning the possibility of using metagenomic analyses to determine food authenticity, to assess the microbiological safety of foods thanks to the detection and tracking of pathogens, antibiotic resistance genes and other undesirable traits, as well to identify the microorganisms responsible for food processing defects. Metataxonomics and metagenomics are currently the gold standard methodologies to explore the full potential of metagenomes in the food industry. However, there are still a number of challenges that must be solved in order to implement these methods routinely in food chain monitoring, and for the regulatory agencies to take them into account in their opinions. These challenges include the difficulties of analysing foods and food-related environments with a low microbial load, the lack of validated bioinformatics pipelines adapted to food microbiomes and the difficulty of assessing the viability of the detected microorganisms. This review summarizes the methods of microbiome analysis that have been used, so far, in foods and food-related environments, with a specific focus on those involving Next-Generation Sequencing technologies.

Indexed as

MetagenomicsMicrobiotaDrug Resistance, MicrobialFood IndustryMetagenomeFood metagenomeFood microbiomeMetagenomicsMetataxonomicsResistome

Identifiers

PMID34686940
OpenAlexW3205445478

What OpenQuestion holds

Textmetadata
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.