The Forecasting Power of the Microbiome

Correa-Garcia, Sara; Constant, Philippe ORCID: https://orcid.org/0000-0003-2739-2801 et Yergeau, Étienne ORCID: https://orcid.org/0000-0002-7112-3425 (2023). The Forecasting Power of the Microbiome Trends in Microbiology , vol. 31 , nº 5. pp. 444-452. DOI: 10.1016/j.tim.2022.11.013.

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Résumé

Microorganisms are informative biological integrators of past and present environmental abiotic and biotic conditions. At the same time, they are directly involved in ecosystem processes. Unfortunately, the complexity of microbial communities has so far resulted in most studies being descriptive. Here, we suggest that signals in the microbiome data can be used to forecast future ecosystem processes. The combination of omics with various statistical learning approaches, selected based on accuracy-interpretability and bias-variance trade-offs, will be key to attain this goal, as exemplified by recent studies. The time is ripe for microbial ecologists to fully exploit the forecasting power of microbiomes.

Type de document:	Article
Mots-clés libres:	Microbiota; Forecasting
Centre:	Centre INRS-Institut Armand Frappier
Date de dépôt:	29 avr. 2023 20:33
Dernière modification:	29 avr. 2023 20:33
URI:	https://espace.inrs.ca/id/eprint/13361

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