Evidence map›Paper›PMID 38267717›Full record

ArticleNature protocols2024

Improved sampling and DNA extraction procedures for microbiome analysis in food-processing environments.

Coral Barcenilla, José F Cobo-Díaz, Francesca De Filippis, Vincenzo Valentino, Raul Cabrera Rubio, Dominic O'Neil, Lisa Mahler de Sanchez, Federica Armanini, Niccolò Carlino, Aitor Blanco-Míguez and 19 more

Abstract read
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In one paragraph

Article in Nature protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

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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

29 authors.

Coral Barcenilla *Department of Food Hygiene and Technology and Institute of Food Science and Technology, Universidad de León, León, Spain.ORCID 0000-0002-3956-3914
José F Cobo-Díaz *Department of Food Hygiene and Technology and Institute of Food Science and Technology, Universidad de León, León, Spain.ORCID 0000-0002-0898-2358
Francesca De FilippisDepartment of Agricultural Sciences, University of Naples Federico II, Portici, Italy.ORCID 0000-0002-3474-2884
Vincenzo ValentinoDepartment of Agricultural Sciences, University of Naples Federico II, Portici, Italy.
Raul Cabrera RubioTeagasc Food Research Centre, Moorepark, Cork, Ireland.
Dominic O'NeilQIAGEN GmbH, Hilden, Germany.
Lisa Mahler de SanchezQIAGEN GmbH, Hilden, Germany.
Federica ArmaniniDepartment of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.
Niccolò CarlinoDepartment of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.ORCID 0009-0004-7409-449X
Aitor Blanco-MíguezDepartment of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.ORCID 0000-0001-7386-5572
Federica PintoDepartment of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.
Inés Calvete-TorreDairy Research Institute of Asturias, Spanish National Research Council (IPLA-CSIC), Paseo Río Linares, Villaviciosa, Asturias, Spain.ORCID 0000-0001-5509-7696
Carlos SabaterDairy Research Institute of Asturias, Spanish National Research Council (IPLA-CSIC), Paseo Río Linares, Villaviciosa, Asturias, Spain.ORCID 0000-0002-6098-895X
Susana DelgadoDairy Research Institute of Asturias, Spanish National Research Council (IPLA-CSIC), Paseo Río Linares, Villaviciosa, Asturias, Spain.
Patricia Ruas-MadiedoDairy Research Institute of Asturias, Spanish National Research Council (IPLA-CSIC), Paseo Río Linares, Villaviciosa, Asturias, Spain.
Narciso M QuijadaAustrian Competence Centre for Feed and Food Quality, Safety and Innovation, FFoQSI GmbH, Tulln an der Donau, Austria.ORCID 0000-0002-1956-7205
Monika DzieciolDepartment for Farm Animals and Veterinary Public Health, Unit of Food Microbiology, Institute of Food Safety, Food Technology and Veterinary Public Health, University of Veterinary Medicine Vienna, Vienna, Austria.
Sigurlaug SkírnisdóttirMicrobiology Research Group, Matís ohf., Reykjavík, Iceland.
Stephen KnoblochMicrobiology Research Group, Matís ohf., Reykjavík, Iceland.
Alba PuenteDepartment of Food Hygiene and Technology and Institute of Food Science and Technology, Universidad de León, León, Spain.
Mercedes LópezDepartment of Food Hygiene and Technology and Institute of Food Science and Technology, Universidad de León, León, Spain.
Miguel PrietoDepartment of Food Hygiene and Technology and Institute of Food Science and Technology, Universidad de León, León, Spain.ORCID 0000-0001-9202-3856
Viggó Thór MarteinssonMicrobiology Research Group, Matís ohf., Reykjavík, Iceland.
Martin WagnerAustrian Competence Centre for Feed and Food Quality, Safety and Innovation, FFoQSI GmbH, Tulln an der Donau, Austria.
Abelardo MargollesDairy Research Institute of Asturias, Spanish National Research Council (IPLA-CSIC), Paseo Río Linares, Villaviciosa, Asturias, Spain.
Nicola SegataDepartment of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.
Paul D CotterTeagasc Food Research Centre, Moorepark, Cork, Ireland.
Danilo ErcoliniDepartment of Agricultural Sciences, University of Naples Federico II, Portici, Italy.ORCID 0000-0003-3061-9560
Avelino Alvarez-OrdóñezDepartment of Food Hygiene and Technology and Institute of Food Science and Technology, Universidad de León, León, Spain. aalvo@unileon.es.ORCID 0000-0002-9951-4786

Funding

European Commission (EC) 818368
6 · The paper itself

Abstract

Deep investigation of the microbiome of food-production and food-processing environments through whole-metagenome sequencing (WMS) can provide detailed information on the taxonomic composition and functional potential of the microbial communities that inhabit them, with huge potential benefits for environmental monitoring programs. However, certain technical challenges jeopardize the application of WMS technologies with this aim, with the most relevant one being the recovery of a sufficient amount of DNA from the frequently low-biomass samples collected from the equipment, tools and surfaces of food-processing plants. Here, we present the first complete workflow, with optimized DNA-purification methodology, to obtain high-quality WMS sequencing results from samples taken from food-production and food-processing environments and reconstruct metagenome assembled genomes (MAGs). The protocol can yield DNA loads >10 ng in >98% of samples and >500 ng in 57.1% of samples and allows the collection of, on average, 12.2 MAGs per sample (with up to 62 MAGs in a single sample) in ~1 week, including both laboratory and computational work. This markedly improves on results previously obtained in studies performing WMS of processing environments and using other protocols not specifically developed to sequence these types of sample, in which <2 MAGs per sample were obtained. The full protocol has been developed and applied in the framework of the European Union project MASTER (Microbiome applications for sustainable food systems through technologies and enterprise) in 114 food-processing facilities from different production sectors.

Indexed as

MicrobiotaDNADNA, BacterialFood HandlingFood MicrobiologyMetagenomeMetagenomicsSequence Analysis, DNADNADNA, Bacterial

Identifiers

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Registered trials

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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.