ArticleMicrobiology spectrum2022
Limited Mechanistic Link Between the Monod Equation and Methanogen Growth: a Perspective from Metabolic Modeling.
Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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Who cites it
6 citing papers in PubMed, 19 citations in OpenAlex.
- Methanol-specific methyltransferase isozymes have large carbon kinetic isotope effects that impact methane isotopic signatures.Applied and environmental microbiology · 2026Article
- Upcycling Oat Hulls via Solid-State Fermentation Using Edible Filamentous Fungi: A Co-Culture Approach withJournal of fungi (Basel, Switzerland) · 2025Article
- Exploring Energy Conservation in Sulphate-Dependent Anaerobic Methane-Oxidising Consortia Through Metabolic Modelling.Environmental microbiology · 2025Article
- Performance evaluation of ICX reactor in treatment of paper mill wastewater: a case study in South Vietnam.Water science and technology : a journal of the International Association on Water Pollution Research · 2024Article
- Physiological and transcriptomic response to methyl-coenzyme M reductase limitation inApplied and environmental microbiology · 2024Article
- From Spatial-Temporal Multiscale Modeling to Application: Bridging the Valley of Death in Industrial Biotechnology.Bioengineering (Basel, Switzerland) · 2023Review
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Monod equation has been widely applied as the general rate law of microbial growth, but its applications are not always successful. By drawing on the frameworks of kinetic and stoichiometric metabolic models and metabolic control analysis, the modeling reported here simulated the growth kinetics of a methanogenic microorganism and illustrated that different enzymes and metabolites control growth rate to various extents and that their controls peak at either very low, intermediate, or very high substrate concentrations. In comparison, with a single term and two parameters, the Monod equation only approximately accounts for the controls of rate-determining enzymes and metabolites at very high and very low substrate concentrations, but neglects the enzymes and metabolites whose controls are most notable at intermediate concentrations. These findings support a limited link between the Monod equation and methanogen growth, and unify the competing views regarding enzyme roles in shaping growth kinetics. The results also preclude a mechanistic derivation of the Monod equation from methanogen metabolic networks and highlight a fundamental challenge in microbiology: single-term expressions may not be sufficient for accurate prediction of microbial growth.
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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 OpenQuestion graph.