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Review
. 2020 Dec 3:18:4071-4081.
doi: 10.1016/j.csbj.2020.11.031. eCollection 2020.

Experimental and computational approaches to unravel microbial community assembly

Affiliations
Review

Experimental and computational approaches to unravel microbial community assembly

Daniel Aguirre de Cárcer. Comput Struct Biotechnol J. .

Abstract

Microbial communities have a preponderant role in the life support processes of our common home planet Earth. These extremely diverse communities drive global biogeochemical cycles, and develop intimate relationships with most multicellular organisms, with a significant impact on their fitness. Our understanding of their composition and function has enjoyed a significant thrust during the last decade thanks to the rise of high-throughput sequencing technologies. Intriguingly, the diversity patterns observed in nature point to the possible existence of fundamental community assembly rules. Unfortunately, these rules are still poorly understood, despite the fact that their knowledge could spur a scientific, technological, and economic revolution, impacting, for instance, agricultural, environmental, and health-related practices. In this minireview, I recapitulate the most important wet lab techniques and computational approaches currently employed in the study of microbial community assembly, and briefly discuss various experimental designs. Most of these approaches and considerations are also relevant to the study of microbial microevolution, as it has been shown that it can occur in ecological relevant timescales. Moreover, I provide a succinct review of various recent studies, chosen based on the diversity of ecological concepts addressed, experimental designs, and choice of wet lab and computational techniques. This piece aims to serve as a primer to those new to the field, as well as a source of new ideas to the more experienced researchers.

Keywords: Community assembly; Computational biology; Microbial communities; Microbiome; Omics.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Fig. 1
Fig. 1
Diagram depicting the general experimental scheme followed by microbial community assembly studies, pinpointing the most common design and analytical possibilities chosen by researchers.

References

    1. Vellend M. Conceptual synthesis in community ecology. Q Rev Biol. 2010;85:183–206. - PubMed
    1. Falkowski P.G., Fenchel T., Delong E.F. The microbial engines that drive Earth's biogeochemical cycles. Science. 2008;320:1034–1039. - PubMed
    1. Goldford J.E., Lu N., Bajić D., Estrela S., Tikhonov M. Emergent simplicity in microbial community assembly. Science. 2018;361:469–474. - PMC - PubMed
    1. Zhou J., Ning D. Stochastic community assembly: does it matter in microbial ecology? Microbiol Mol Biol Rev. 2017;81:00002–17. - PMC - PubMed
    1. Thompson L.R., Sanders J.G., McDonald D., Amir A., Ladau J. A communal catalogue reveals Earth's multiscale microbial diversity. Nature. 2017;551:457–463. - PMC - PubMed

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