Evidence map›Paper›PMID 25496341›Full record

ArticleBMC genomics2014

Construction of a dairy microbial genome catalog opens new perspectives for the metagenomic analysis of dairy fermented products.

Mathieu Almeida, Agnès Hébert, Anne-Laure Abraham, Simon Rasmussen, Christophe Monnet, Nicolas Pons, Céline Delbès, Valentin Loux, Jean-Michel Batto, Pierre Leonard and 6 more

Abstract read
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

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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

26 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

16 authors.

Mathieu Almeida
Agnès Hébert
Anne-Laure Abraham
Simon Rasmussen
Christophe Monnet
Nicolas Pons
Céline Delbès
Valentin Loux
Jean-Michel Batto
Pierre Leonard
Sean Kennedy
Stanislas Dusko Ehrlich
Mihai Pop
Marie-Christine Montel
Françoise Irlinger
Pierre RenaultInstitut National de la Recherche Agronomique, UMR 1319 MICALIS, 78352 Jouy-en-Josas, France. pierre.renault@jouy.inra.fr.

Funding

Algorithms and Software for the Assembly of Metagenomic DataR01AI100947 · NIAID · UNIV OF MARYLAND, COLLEGE PARK · PI POP, MIHAI · 2013 to 2025
$7.4M
NIAID NIH HHS R01 AI100947
6 · The paper itself

Abstract

backgroundMicrobial communities of traditional cheeses are complex and insufficiently characterized. The origin, safety and functional role in cheese making of these microbial communities are still not well understood. Metagenomic analysis of these communities by high throughput shotgun sequencing is a promising approach to characterize their genomic and functional profiles. Such analyses, however, critically depend on the availability of appropriate reference genome databases against which the sequencing reads can be aligned.

resultsWe built a reference genome catalog suitable for short read metagenomic analysis using a low-cost sequencing strategy. We selected 142 bacteria isolated from dairy products belonging to 137 different species and 67 genera, and succeeded to reconstruct the draft genome of 117 of them at a standard or high quality level, including isolates from the genera Kluyvera, Luteococcus and Marinilactibacillus, still missing from public database. To demonstrate the potential of this catalog, we analysed the microbial composition of the surface of two smear cheeses and one blue-veined cheese, and showed that a significant part of the microbiota of these traditional cheeses was composed of microorganisms newly sequenced in our study.

conclusionsOur study provides data, which combined with publicly available genome references, represents the most expansive catalog to date of cheese-associated bacteria. Using this extended dairy catalog, we revealed the presence in traditional cheese of dominant microorganisms not deliberately inoculated, mainly Gram-negative genera such as Pseudoalteromonas haloplanktis or Psychrobacter immobilis, that may contribute to the characteristics of cheese produced through traditional methods.

Indexed as

Databases, GeneticFermentationBacteriaCheeseDairy ProductsGenome, BacterialMetagenomicsMicrobiotaSequence Analysis

Identifiers

PMID25496341
PMCPMC4320590

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LicenceCC BY
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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.