Evidence map›Paper›PMID 37431045›Full record

ReviewFoods (Basel, Switzerland)2022

The Application of Metagenomics to Study Microbial Communities and Develop Desirable Traits in Fermented Foods.

Meghana Srinivas, Orla O'Sullivan, Paul D Cotter, Douwe van Sinderen, John G Kenny

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Meghana SrinivasFood Biosciences Department, Teagasc Food Research Centre, Moorepark, P61 C996 Cork, Ireland.ORCID 0000-0002-1118-0671
Orla O'SullivanFood Biosciences Department, Teagasc Food Research Centre, Moorepark, P61 C996 Cork, Ireland.
Paul D CotterFood Biosciences Department, Teagasc Food Research Centre, Moorepark, P61 C996 Cork, Ireland.ORCID 0000-0002-5465-9068
Douwe van SinderenAPC Microbiome Ireland, University College Cork, T12 CY82 Cork, Ireland.
John G KennyFood Biosciences Department, Teagasc Food Research Centre, Moorepark, P61 C996 Cork, Ireland.ORCID 0000-0003-2994-6169

Funding

Science Foundation Ireland 12/RC/2273
6 · The paper itself

Abstract

The microbial communities present within fermented foods are diverse and dynamic, producing a variety of metabolites responsible for the fermentation processes, imparting characteristic organoleptic qualities and health-promoting traits, and maintaining microbiological safety of fermented foods. In this context, it is crucial to study these microbial communities to characterise fermented foods and the production processes involved. High Throughput Sequencing (HTS)-based methods such as metagenomics enable microbial community studies through amplicon and shotgun sequencing approaches. As the field constantly develops, sequencing technologies are becoming more accessible, affordable and accurate with a further shift from short read to long read sequencing being observed. Metagenomics is enjoying wide-spread application in fermented food studies and in recent years is also being employed in concert with synthetic biology techniques to help tackle problems with the large amounts of waste generated in the food sector. This review presents an introduction to current sequencing technologies and the benefits of their application in fermented foods.

Indexed as

fermented foodsfood qualitymetagenomicsmicrobial communityomicstraceability

Identifiers

PMID37431045
PMCPMC9601669

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.