Evidence map›Paper›PMID 41982405›Full record

ReviewEngineering microbiology2025

Advances in synthetic microbial ecosystems approach for studying ecological interactions and their influencing factors.

Wei Jiang, Sumeng Wang, Fei Gu, Xiaoya Yang, Qingsheng Qi, Quanfeng Liang

Abstract readReview
In one paragraph

Review in Engineering microbiology, 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. Review
  3. Review
  4. Article
  5. Endophyte-mediated chromium detoxification inFrontiers in microbiology · 2025
    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

6 authors.

Wei JiangState Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China.
Sumeng WangState Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China.
Fei GuState Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China.
Xiaoya YangState Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China.
Qingsheng QiState Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China.
Quanfeng LiangState Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Investigating ecological interactions within microbial ecosystems is essential for enhancing our comprehension of key ecological issues, such as community stability, keystone species identification, and the manipulation of community structures. However, exploring these interactions proves challenging within complex natural ecosystems. With advances in synthetic biology, the design of synthetic microbial ecosystems has received increasing attention due to their reduced complexity and enhanced controllability. Various ecological relationships, including commensalism, amensalism, mutualism, competition, and predation have been established within synthetic ecosystems. These relationships are often context-dependent and shaped by physical and chemical environmental factors, as well as by interacting populations and surrounding species. This review consolidates current knowledge of synthetic microbial ecosystems and factors influencing their ecological dynamics. A deeper understanding of how these ecosystems function and respond to different variables will advance our understanding of microbial-community interactions.

Indexed as

Ecological interactionsSynthetic microbial ecosystems

Identifiers

PMID41982405
PMCPMC12967826

What OpenQuestion holds

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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.