ReviewmBio2026
Analysis and engineering of quorum sensing-based communications between bacteria and fungi.
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.
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.
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.
Who cites it
2 citing papers in PubMed.
- Coordination of quorum sensing with T3SS and T6SS: Bacterial strategies for combating fungal pathogens.Virulence · 2026Review
- Nano-enabled disruption of bacterial virulence and communication in plant pathosystems: emerging strategies for sustainable disease management.Frontiers in plant science · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What Socratic holds
Registered trials
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.