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Challenges for Complex Microbial Ecosystems: Combination of Experimental Approaches with Mathematical Modeling

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 eco...

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Autores principales: Haruta, Shin, Yoshida, Takehito, Aoi, Yoshiteru, Kaneko, Kunihiko, Futamata, Hiroyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Japanese Society of Microbial Ecology/The Japanese Society of Soil Microbiology 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4070964/
https://www.ncbi.nlm.nih.gov/pubmed/23995424
http://dx.doi.org/10.1264/jsme2.ME13034
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author Haruta, Shin
Yoshida, Takehito
Aoi, Yoshiteru
Kaneko, Kunihiko
Futamata, Hiroyuki
author_facet Haruta, Shin
Yoshida, Takehito
Aoi, Yoshiteru
Kaneko, Kunihiko
Futamata, Hiroyuki
author_sort Haruta, Shin
collection PubMed
description 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.
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spelling pubmed-40709642014-07-24 Challenges for Complex Microbial Ecosystems: Combination of Experimental Approaches with Mathematical Modeling Haruta, Shin Yoshida, Takehito Aoi, Yoshiteru Kaneko, Kunihiko Futamata, Hiroyuki Microbes Environ Minireview 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. Japanese Society of Microbial Ecology/The Japanese Society of Soil Microbiology 2013-09 2013-08-30 /pmc/articles/PMC4070964/ /pubmed/23995424 http://dx.doi.org/10.1264/jsme2.ME13034 Text en Copyright © 2013 by the Japanese Society of Microbial Ecology / the Japanese Society of Soil Microbiology http://creativecommons.org/licenses/by/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Minireview
Haruta, Shin
Yoshida, Takehito
Aoi, Yoshiteru
Kaneko, Kunihiko
Futamata, Hiroyuki
Challenges for Complex Microbial Ecosystems: Combination of Experimental Approaches with Mathematical Modeling
title Challenges for Complex Microbial Ecosystems: Combination of Experimental Approaches with Mathematical Modeling
title_full Challenges for Complex Microbial Ecosystems: Combination of Experimental Approaches with Mathematical Modeling
title_fullStr Challenges for Complex Microbial Ecosystems: Combination of Experimental Approaches with Mathematical Modeling
title_full_unstemmed Challenges for Complex Microbial Ecosystems: Combination of Experimental Approaches with Mathematical Modeling
title_short Challenges for Complex Microbial Ecosystems: Combination of Experimental Approaches with Mathematical Modeling
title_sort challenges for complex microbial ecosystems: combination of experimental approaches with mathematical modeling
topic Minireview
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4070964/
https://www.ncbi.nlm.nih.gov/pubmed/23995424
http://dx.doi.org/10.1264/jsme2.ME13034
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