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Monoculture parameters successfully predict coculture growth kinetics of Bacteroides thetaiotaomicron and Bifidobacterium strains

journal contribution
posted on 2023-05-03, 09:53 authored by Amy Van Wey, Adrian CooksonAdrian Cookson, Nicole Roy, Warren McNabb, Tanya Soboleva, Paul ShortenPaul Shorten
Microorganisms rarely live in isolation but are most often found in a consortium. This provides the potential for cross-feeding and nutrient competition among the microbial species, which make it challenging to predict the growth kinetics in coculture. In this paper we developed a mathematical model to describe substrate consumption and subsequent microbial growth and metabolite production for bacteria grown in monoculture. The model characterized substrate utilization kinetics of 18 Bifidobacterium strains. Somebifidobacterial strains demonstrated preferential degradation of oligofructose in that sugars with low degree of polymerization (DP) (DP ≤ 3 or 4) were metabolized before sugars of higher DP, or vice versa. Thus, we expanded the model to describe the preferential degradation of oligofructose. In addition, we adapted the model to describe the competition between human colonic bacteria Bacteroides thetaiotaomicron LMG 11262 and Bifidobacterium longum LMG 11047 or Bifidobacterium breve Yakult for inulin as well as cross-feeding of breakdown products from the extracellular hydrolysis of inulin by B. thetaiotaomicron LMG 11262. We found that the coculture growth kinetics could be predicted based on the respective monoculture growth kinetics. Using growth kinetics from monoculture experiments to predict coculture dynamics will reduce the number of in vitro experiments required to parameterize multi-culture models.


Rights statement

Copyright © 2014 Elsevier B.V. All rights reserved


  • English

Does this contain Māori information or data?

  • No



Journal title

International Journal of Food Microbiology




Van Wey A.S., Cookson A.L., Roy N.C., McNabb W.C., Soboleva T.K., Shorten P.R. (2014). Monoculture parameters successfully predict coculture growth kinetics of Bacteroides thetaiotaomicron and two Bifidobacterium strains. International Journal of Food Microbiology, 191, 172–181.

Report number

FBP 45175

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