Cell Flux Models and their applications to diverse microbes
ID:370 View Protection:ATTENDEE Updated Time:2025-01-01 05:00:43 Hits:759 Oral (invited)

Start Time:2025-01-14 10:25(Asia/Shanghai)

Duration:15min

Session:S30 Session 30-Planktonic and Microbial Contributions to Marine Ecosystems and Biogeochemistry: Insights from Observations, Experiments, and Modeling » S30-1Planktonic and Microbial Contributions to Marine Ecosystems and Biogeochemistry: Insights from Observations, Experiments, and Modeling

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Abstract
Cell Flux Models (CFMs) are coarse-grained models of diverse microbial cells that quantify their metabolic processes and molecular composition. The model formulas are developed based on physical and biochemical laws and informed by empirical evidence. Its simplicity and flexibility allow the model results to be tested with a wide variety of datasets. The model is computationally efficient and can be incorporated into ecological biogeochemical models of various scales. Currently, there are more than 20 different variations representing diverse functional groups of microorganisms, addressing unique scientific questions. In this talk, I will introduce the model with examples and its use, as well as typical data that we rely on, hoping to lead to further modeling-experimental collaborations.
 
Keywords
Cell Flux Model, microorganisms, microbiology, ecology, phytoplankton, photosynthesis, nitrogen fixation, biogeochemistry, experimental data, collaboration
Speaker
Keisuke Inomura
Assistant Professor University of Rhode Island

Submission Author
Keisuke Inomura University of Rhode Island
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Important Date
  • Conference Date

    Jan 13

    2025

    to

    Jan 17

    2025

  • Sep 27 2024

    Draft paper submission deadline

  • Feb 17 2025

    Registration deadline

Sponsored By
State Key Laboratory of Marine Environmental Science, Xiamen University
Organized By
State Key Laboratory of Marine Environmental Science, Xiamen University
Department of Earth Sciences, National Natural Science Foundation of China
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