Journal article
Characterizing mixed microbial population dynamics using time-series analysis
The ISME Journal, Vol.2(7), pp.707-715
07/01/2008
DOI: 10.1038/ismej.2008.36
PMID: 18385770
Abstract
Due to a general shortage of temporal population data, dynamic structures in microbial communities remain largely unexplored. Knowledge of community dynamics is, however, essential for understanding the mechanisms by which microbes interact. Here, we have used a computational approach for quantification of bacteria in multispecies populations, generating data for time-series modeling. Moreover, we have used online FR-IR spectroscopy to monitor the main metabolic processes. The approach enabled us to provide a functional description of the parameters governing the population dynamics in a three-species model bacterial community, demonstrating density-dependent regulation, interspecies competition and even a case of cooperation between two species. Since the field of microbial ecology has yet to embrace many of the concepts and methods developed for the study of ecology of higher plants and animals, the realization that microbial systems can be analyzed within the same conceptual framework as other ecosystems is of fundamental importance.
Details
- Title: Subtitle
- Characterizing mixed microbial population dynamics using time-series analysis
- Creators
- Pal Trosvik - University of OsloKnut Rudi - Hedmark University CollegeTormod Naes - Matforsk AS, Norwegian Food Res Inst, As, NorwayAchim Kohler - Norwegian Food Research InstituteKung-Sik Chan - University of IowaKjetill S Jakobsen - University of OsloNils C Stenseth - University of Oslo
- Resource Type
- Journal article
- Publication Details
- The ISME Journal, Vol.2(7), pp.707-715
- Publisher
- NATURE PUBLISHING GROUP
- DOI
- 10.1038/ismej.2008.36
- PMID
- 18385770
- ISSN
- 1751-7362
- eISSN
- 1751-7370
- Number of pages
- 9
- Language
- English
- Date published
- 07/01/2008
- Academic Unit
- Statistics and Actuarial Science; Radiology
- Record Identifier
- 9984257741702771
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