Evidence map›Paper›PMID 39856881›Full record

ReviewFoods (Basel, Switzerland)2025

Directed Evolution of Microbial Communities in Fermented Foods: Strategies, Mechanisms, and Challenges.

Zihan Yao, Ting Xie, Hongjie Deng, Shuzhi Xiao, Tao Yang

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Effects of inoculation withFood chemistry: X · 2026
    Article
  3. Article
  4. Review
  5. Article
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.

Zihan YaoCollege of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China.
Ting XieCollege of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China.
Hongjie DengCollege of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China.
Shuzhi XiaoCollege of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China.
Tao YangCollege of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China.ORCID 0000-0002-8103-1153

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Directed Evolution of Microbial Communities (DEMC) offers a promising approach to enhance the functional attributes of microbial consortia in fermented foods by mimicking natural selection processes. This review details the application of DEMC in fermented foods, focusing on optimizing community traits to improve both fermentation efficiency and the sensory quality of the final products. We outline the core techniques used in DEMC, including the strategic construction of initial microbial communities, the systematic introduction of stress factors to induce desirable traits, and the use of artificial selection to cultivate superior communities. Additionally, we explore the integration of genomic tools and dynamic community analysis to understand and guide the evolutionary trajectories of these communities. While DEMC shows substantial potential for refining fermented food products, it faces challenges such as maintaining genetic diversity and functional stability of the communities. Looking ahead, the integration of advanced omics technologies and computational modeling is anticipated to significantly enhance the predictability and control of microbial community evolution in food fermentation processes. By systematically improving the selection and management of microbial traits, DEMC serves as a crucial tool for enhancing the quality and consistency of fermented foods, directly contributing to more robust and efficient food production systems.

Indexed as

directed evolutionfermented foodsfunctional optimizationmicrobial communities

Identifiers

PMID39856881
PMCPMC11764801

What OpenQuestion holds

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LicenceCC BY
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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.