Evidence map›Paper›PMID 41651877›Full record

ReviewNPJ science of food2026

Adopting omics-based approaches to facilitate the establishment of microbial consortia to generate reproducible fermented foods with desirable properties.

Erkang Zhang, Marcus J Claesson, Paul D Cotter

Abstract readReview
In one paragraph

Review in NPJ science of food, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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

3 authors.

Erkang ZhangTeagasc Food Research Centre, Cork, Ireland.
Marcus J ClaessonSchool of Microbiology, University College Cork, Cork, Ireland.
Paul D CotterTeagasc Food Research Centre, Cork, Ireland. paul.cotter@teagasc.ie.

Funding

European Commission 101060218Research Ireland 23/FFP-A/11857
6 · The paper itself

Abstract

The quality of fermented foods is governed by the composition, function, and interactions of their microbial communities. However, fermentations carried out using traditional approaches are often variable with respect to their composition and are difficult to control, thereby limiting industrial reproducibility. Recent advances in omics technologies-including metagenomics, metatranscriptomics, metaproteomics, metabolomics, and culturomics-have greatly enhanced our ability to analyze and reconstruct the microbial ecosystems in fermented foods. This review first highlights the importance of omics analyses for characterizing microbial composition, metabolic potential, and functional interactions. It then discusses the bipartite structure of defined microbial consortia (DMCs), distinguishing between the core microbiome, comprising taxa consistently associated with fermentation performance, and the supplementary microbiome, consisting of variable species that influence flavor diversity and system stability. Finally, we describe a multi-omics-guided strategy for the design and refinement of DMCs, framed within the Assembly-Assessment-Redesign (A-A-R) workflow, which enables iterative optimization of microbial consortia for reproducible and desirable fermentation outcomes. Integrating omics insights with DMC engineering provides a systematic approach for precision fermentation, paving the way for next-generation fermented food production.

Identifiers

PMID41651877
PMCPMC12987955

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.