Your browser doesn't support javascript.
loading
Disentangling the growth curve of microbial culture.
Kumakura, Daiki; Yamaguchi, Ryo; Hara, Akane; Nakaoka, Shinji.
Affiliation
  • Kumakura D; Graduate School of Life Science, Hokkaido University, Hokkaido, Japan; Interdisciplinary Theoretical and Mathematical Sciences (iTHEMS), RIKEN, Saitama, Japan. Electronic address: dkumakura@eis.hokudai.ac.jp.
  • Yamaguchi R; Faculty of Advanced Life Science, Hokkaido University, Hokkaido, Japan; Department of Zoology & Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada.
  • Hara A; Laboratory of Pharmaceutical Quality Assurance and Assessment, Faculty of Pharmacy and Pharmaceutical Sciences, University of Toyama, Toyama, Japan.
  • Nakaoka S; Faculty of Advanced Life Science, Hokkaido University, Hokkaido, Japan.
J Theor Biol ; 573: 111597, 2023 09 21.
Article in En | MEDLINE | ID: mdl-37598762
ABSTRACT
Many researchers have studied the population dynamics of microbe of microbes as a typical example of population dynamics. The Monod equation, which mainly focuses on the growth and stationary phases, is used when plotting a growth curve. However, the growth potential in the late stage of culture has been overlooked. Previous studies considered the direct degradation of products to the limiting substrate. In this study, we considered microbial growth during the stationary phase, which enables us to describe the dynamics precisely. The microbes were divided into two populations one grew by consuming the limiting substrate and the other degraded the products by metabolism. According to the numerical analysis of our model, microbes may choose one of two strategies one consumes substrates and expands quickly, and the other grows slowly while cleaning up the environment in which they thrive. Furthermore, we found three types of microbial growth depending on their ability to detect metabolite accumulation. Using experimentally measured data, this model can estimate the dynamics of cell density, the substrates, and the metabolites used. The model's disentangling of growth curves offers novel interpretive possibilities for culture system dynamics.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cell Cycle Language: En Journal: J Theor Biol Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cell Cycle Language: En Journal: J Theor Biol Year: 2023 Document type: Article