期刊
NATURE REVIEWS MICROBIOLOGY
卷 14, 期 7, 页码 461-471出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/nrmicro.2016.62
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资金
- US National Science Foundation Award [EF-0832858]
- Isaac Newton Institute (INI) in Cambridge, UK
- UK National Centre for the Replacement, Refinement & Reduction of Animals in Research (NC3Rs)(eGUT) [NC/K000683/1]
- US National Science Foundation
- Natural Environment Research Council (NERC), UK
- EPSRC [EP/K032208/1] Funding Source: UKRI
- NERC [pml010010, pml010006] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/K032208/1] Funding Source: researchfish
- National Centre for the Replacement, Refinement and Reduction of Animals in Research (NC3Rs) [NC/K000683/1] Funding Source: researchfish
- Natural Environment Research Council [pml010006, pml010010] Funding Source: researchfish
- Direct For Biological Sciences
- Division Of Environmental Biology [1240894] Funding Source: National Science Foundation
- Direct For Biological Sciences
- Div Of Biological Infrastructure [1300426] Funding Source: National Science Foundation
Remarkable technological advances have revealed ever more properties and behaviours of individual microorganisms, but the novel data generated by these techniques have not yet been fully exploited. In this Opinion article, we explain how individual-based models (IBMs) can be constructed based on the findings of such techniques and how they help to explore competitive and cooperative microbial interactions. Furthermore, we describe how IBMs have provided insights into self-organized spatial patterns from biofilms to the oceans of the world, phage-CRISPR dynamics and other emergent phenomena. Finally, we discuss how combining individual-based observations with IBMs can advance our understanding at both the individual and population levels, leading to the new approach of microbial individual-based ecology (mu IBE).
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