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Competition for mixed substrates by microbial populations
Open accessAbstract
A model for the growth of an organism on multiple substrates was developed, assuming that each substrate has a competitive inhibition effect on the uptake of other substrates. The model was extended to examine mixed substrates, showing that the coexistence of several species at steady state in continuous cultures is possible, even when all the organisms all strongly prefer the one substrate. The diversity of nutrient sources in a real system may be a key factor in supporting a heterogeneous microbial population.
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Citations
Cited by
(2006) · doi:10.1007/978-3-540-28398-0 · Cited by 303
Fredrickson, A. G., & Stephanopoulos, G. (1981) · Science · doi:10.1126/science.7268409 · Cited by 281
Investigation of bacterial growth on mixed substrates: Experimental evaluation of cybernetic models
Kompala, D. S., Ramkrishna, D., Jansen, N. B., & Tsao, G. T. (1986) · Biotechnology and Bioengineering · doi:10.1002/bit.260280715 · Cited by 264
Verhagen, F. J. M., & Laanbroek, H. J. (1991) · Applied and Environmental Microbiology · doi:10.1128/aem.57.11.3255-3263.1991 · Cited by 258
Metadata
- Authors
- Yoon, H., Klinzing, G., & Blanch, H. W.
- Venue
- Biotechnology and Bioengineering
- Publisher
- Wiley
- Published
- 1977-08
- Volume
- 19
- Issue
- 8
- Pages
- 1193-1210
- ISSN
- 0006-3592 (ISSN-L)
- 1097-0290
- OpenAlex
- W2054881014
- Cited by
- 221
- References
- 0
- FWCI
- 6.49
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Competition for mixed substrates by microbial populations. https://app.cochat.ai/papers/10.1002/bit.260190809
- The paper
- Yoon, H., Klinzing, G., & Blanch, H. W. (1977). Competition for mixed substrates by microbial populations. Biotechnology and Bioengineering. https://doi.org/10.1002/bit.260190809
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.