Evidence map›Paper›PMID 41801051›Full record

ReviewmBio2026

Analysis and engineering of quorum sensing-based communications between bacteria and fungi.

Yongsheng Zhou, Lingjin Tang, Danlei Chen, Yanni Li, Shengbo Wu, Jianjun Qiao

Abstract readReview
In one paragraph

Review in mBio, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Yongsheng Zhou *School of Synthetic Biology and Biomanufacturing, Key Laboratory of Systems Bioengineering (Ministry of Education), State Key Laboratory of Synthetic Biology, Tianjin University, Tianjin, China.ORCID 0009-0004-0226-1316
Lingjin Tang *School of Synthetic Biology and Biomanufacturing, Key Laboratory of Systems Bioengineering (Ministry of Education), State Key Laboratory of Synthetic Biology, Tianjin University, Tianjin, China.
Danlei Chen *School of Synthetic Biology and Biomanufacturing, Key Laboratory of Systems Bioengineering (Ministry of Education), State Key Laboratory of Synthetic Biology, Tianjin University, Tianjin, China.
Yanni LiSchool of Synthetic Biology and Biomanufacturing, Key Laboratory of Systems Bioengineering (Ministry of Education), State Key Laboratory of Synthetic Biology, Tianjin University, Tianjin, China.ORCID 0000-0001-9184-5786
Shengbo WuSchool of Synthetic Biology and Biomanufacturing, Key Laboratory of Systems Bioengineering (Ministry of Education), State Key Laboratory of Synthetic Biology, Tianjin University, Tianjin, China.ORCID 0000-0001-7497-2935
Jianjun QiaoSchool of Synthetic Biology and Biomanufacturing, Key Laboratory of Systems Bioengineering (Ministry of Education), State Key Laboratory of Synthetic Biology, Tianjin University, Tianjin, China.ORCID 0000-0002-8126-2074

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacteria and fungi ubiquitously coexist, with their interactions critically influencing human health and industrial processes. Quorum sensing (QS) is a core regulatory mechanism that enables density-dependent coordination and phenotypic responses across these two kingdoms. While bacteria and fungi utilize their respective QS systems to engage in competitive or cooperative interactions to enhance their environmental adaptability, the current understanding of QS-based communications between them remains scattered, and a systematic summary of this field is still lacking. In this review, we examine the intricate dialog between bacteria and fungi, focusing on its role in microbial network assembly and ecosystem function, to provide a comprehensive analysis and engineering perspective on QS-based cross-kingdom communication. Specifically, we will first briefly delineate the core architecture of bacterial and fungal QS systems and the phenotypes they govern. Then, we will analyze QS-based interactions across diverse environments between different bacteria and fungi, categorizing natural QS interactions based on various phenotypes, including biofilm co-assembly and metabolic complementation. We further compare and analyze synthetic biology strategies, including promoter engineering and directed evolution of QS regulatory components, for reprogramming bacterial-fungal interactions and their applications. By synthesizing and contrasting these natural paradigms with synthetic designs, we provide a blueprint for achieving modular control over bacterial-fungal communities in diverse environments. Finally, by outlining persistent challenges and future trends, we aim to propel this field forward, enabling the deciphering of complex microbial interactions and ultimately increasing our capacity to engineer microbial consortia for diverse applications.

Indexed as

BacteriaBacterial Physiological PhenomenaFungiMicrobial InteractionsQuorum SensingBiofilmsSynthetic Biologybacterial-fungal interactionscell-cell signal modificationcross-kingdom communicationmicrobial communityquorum sensingsynthetic biology

Identifiers

PMID41801051
PMCPMC13059760

What Socratic 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 Socratic graph.