Cyanobacterial crowding-out effects on metabolite partitioning: modeling 2-methylisoborneol (MIB) release dynamics and implications

A scent on the water,
Born from a crowded cell’s burst,
A warning grows cold.
2-methylisoborneol (MIB)
Cell lysis-mediated release
Drinking water early warning
Growth-phase dependent release
Taste and odor

JHM2025: Yufan Ai#, Yongnian Wu#, Ming Su*, et. al. Cyanobacterial crowding-out effects on metabolite partitioning: modeling 2-methylisoborneol (MIB) release dynamics and implications. journal of Hazardous Materials 2025;xxx:140118 10.1016/j.jhazmat.2025.140118.

Authors
Affiliations

Yufan Ai

Yongnian Wu

Bureau of Hydrology Information Center of Taihu Basin Authority

Yuying Gui

Yifan Du

Jiao Fang

Tengxin Cao

Min Yang

Published

Oct 16, 2025

Doi

Introduction by AI

Abstract

2-Methylisoborneol (MIB), a potent cyanobacterial metabolite, impairs drinking water quality through taste-and-odor issues at trace concentrations. Despite its significant impact, the intracellular dynamics and environmental release mechanisms of MIB remain poorly characterized. We developed a mechanistic model of growth-phase dependent MIB release through controlled experiments with two producer strains. The model reveals that the extracellular MIB proportion (\(f = e_{\text{MIB}}/t_{\text{MIB}}\)) follows a consistent pattern: decreasing to a minimum at mid-log phase before rising and stabilizing (\(f\): 0.4 to 0.6) during stationary phase, suggesting crowding-induced cell lysis drives release dynamics. Application of the model to Lake Taihu successfully reconstructed two odor events during 2022-2023, elucidating both the spatiotemporal development of MIB producers and identifying critical risk thresholds at ~15°C and >30°C under moderate light (0.1-0.4 mol m-2 d-1) - patterns undetectable by conventional monitoring. Our findings demonstrate that physiological transitions, rather than just biomass accumulation, control odorant release. This framework may extend to other algal metabolites (e.g., geosmin, cyanotoxins), offering broader predictive capability. By linking cellular processes to water quality risks, our approach enables proactive management of cyanobacterial contaminants, informing both early warning systems and operational guidance for oxidant-type optimization to prevent large-scale release of hazardous compounds from algal cells.

Graphical abstract

Citation

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@article{ai2025cyanobacterial,
  title = {Cyanobacterial crowding-out effects on metabolite partitioning: modeling 2-methylisoborneol (MIB) release dynamics and implications},
  journal = {Journal of Hazardous Materials},
  pages = {140118},
  year = {2025},
  issn = {0304-3894},
  doi = {10.1016/j.jhazmat.2025.140118},
  url = {https://www.sciencedirect.com/science/article/pii/S0304389425030377},
  author = {Yufan Ai^#^ and Yongnian Wu^#^ and **Ming Su**^\*^ and Yuying Gui and Yifan Du and Jiao Fang and Tengxin Cao and Min Yang},
  keywords = {2-methylisoborneol (MIB), Cell lysis-mediated release, Drinking water early warning, Growth-phase dependent release, Taste and odor}
}