Challenges for Complex Microbial Ecosystems: Combination of Experimental Approaches with Mathematical Modeling
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- Haruta Shin
- Department of Biological Sciences, Graduate School of Science and Engineering, Tokyo Metropolitan University
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- Yoshida Takehito
- Department of General Systems Studies, University of Tokyo
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- Aoi Yoshiteru
- Institute for Sustainable Sciences and Development, Hiroshima University Department of Biology, Northeastern University
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- Kaneko Kunihiko
- Research Center for Complex Systems Biology, University of Tokyo
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- Futamata Hiroyuki
- Department of Applied Chemistry and Biochemical Engineering, Graduate School of Engineering, Shizuoka University
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Abstract
In the past couple of decades, molecular ecological techniques have been developed to elucidate microbial diversity and distribution in microbial ecosystems. Currently, modern techniques, represented by meta-omics and single cell observations, are revealing the incredible complexity of microbial ecosystems and the large degree of phenotypic variation. These studies propound that microbiological techniques are insufficient to untangle the complex microbial network. This minireview introduces the application of advanced mathematical approaches in combination with microbiological experiments to microbial ecological studies. These combinational approaches have successfully elucidated novel microbial behaviors that had not been recognized previously. Furthermore, the theoretical perspective also provides an understanding of the plasticity, robustness and stability of complex microbial ecosystems in nature.<br>
Journal
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- Microbes and Environments
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Microbes and Environments 28 (3), 285-294, 2013
Japanese Society of Microbial Ecology / Japanese Society of Soil Microbiology / Taiwan Society of Microbial Ecology / Japanese Society of Plant Microbe Interactions / Japanese Society for Extremophiles
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Details 詳細情報について
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- CRID
- 1390282679322038912
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- NII Article ID
- 10031191411
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- NII Book ID
- AA11551577
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- COI
- 1:STN:280:DC%2BC3sbktlamug%3D%3D
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- ISSN
- 13474405
- 13426311
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- NDL BIB ID
- 024852254
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- PubMed
- 23995424
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- Text Lang
- en
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- Data Source
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- JaLC
- NDL
- Crossref
- PubMed
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed