Evidence map›Paper›PMID 26911915›Full record

ArticleScientific reports2016

Metatranscriptomics reveals temperature-driven functional changes in microbiome impacting cheese maturation rate.

Francesca De Filippis, Alessandro Genovese, Pasquale Ferranti, Jack A Gilbert, Danilo Ercolini

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 1 pooled it
31.7field-weighted citation impact, top 1% 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

62 citing papers in PubMed, 1 synthesis or guideline pooled it, 189 citations in OpenAlex.

  1. Pooled it
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  9. Metagenomic Reveals the Role of AutochthonousFoods (Basel, Switzerland) · 2025
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2 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 2 countries.

Francesca De FilippisDepartment of Agricultural Sciences, University of Naples Federico II, Via Università 100, 80055 Portici, Italy.
Alessandro GenoveseDepartment of Agricultural Sciences, University of Naples Federico II, Via Università 100, 80055 Portici, Italy.
Pasquale FerrantiDepartment of Agricultural Sciences, University of Naples Federico II, Via Università 100, 80055 Portici, Italy.
Jack A GilbertBiosciences Division (BIO), Argonne National Laboratory, Argonne, IL, USA.
Danilo ErcoliniDepartment of Agricultural Sciences, University of Naples Federico II, Via Università 100, 80055 Portici, Italy.
University of Naples Federico II · ITUniversity of Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional cheeses harbour complex microbial consortia that play an important role in shaping typical sensorial properties. However, the microbial metabolism is considered difficult to control. Microbial community succession and the related gene expression were analysed during ripening of a traditional Italian cheese, identifying parameters that could be modified to accelerate ripening. Afterwards, we modulated ripening conditions and observed consistent changes in microbial community structure and function. We provide concrete evidence of the essential contribution of non-starter lactic acid bacteria in ripening-related activities. An increase in the ripening temperature promoted the expression of genes related to proteolysis, lipolysis and amino acid/lipid catabolism and significantly increases the cheese maturation rate. Moreover, temperature-promoted microbial metabolisms were consistent with the metabolomic profiles of proteins and volatile organic compounds in the cheese. The results clearly indicate how processing-driven microbiome responses can be modulated in order to optimize production efficiency and product quality.

Indexed as

MicrobiotaAmino AcidsCheeseFatty AcidsFood MicrobiologyGas Chromatography-Mass SpectrometryLactobacillusPrincipal Component AnalysisPyruvic AcidRNA, Ribosomal, 16SSequence Analysis, DNASolid Phase MicroextractionTemperatureVolatile Organic CompoundsAmino AcidsFatty AcidsPyruvic AcidRNA, Ribosomal, 16SVolatile Organic Compounds

Identifiers

PMID26911915
PMCPMC4766472
OpenAlexW2274357841

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.