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Stochasticity in microbiology: managing unpredictability to reach the Sustainable Development Goals

Authors :
Jo De Vrieze
Thijs De Mulder
Silvio Matassa
Jizhong Zhou
Largus T. Angenent
Nico Boon
Willy Verstraete
Source :
Microbial Biotechnology, Vol 13, Iss 4, Pp 829-843 (2020)
Publication Year :
2020
Publisher :
Wiley, 2020.

Abstract

Summary Pure (single) cultures of microorganisms and mixed microbial communities (microbiomes) have been important for centuries in providing renewable energy, clean water and food products to human society and will continue to play a crucial role to pursue the Sustainable Development Goals. To use microorganisms effectively, microbial engineered processes require adequate control. Microbial communities are shaped by manageable deterministic processes, but also by stochastic processes, which can promote unforeseeable variations and adaptations. Here, we highlight the impact of stochasticity in single culture and microbiome engineering. First, we discuss the concepts and mechanisms of stochasticity in relation to microbial ecology of single cultures and microbiomes. Second, we discuss the consequences of stochasticity in relation to process performance and human health, which are reflected in key disadvantages and important opportunities. Third, we propose a suitable decision tool to deal with stochasticity in which monitoring of stochasticity and setting the boundaries of stochasticity by regulators are central aspects. Stochasticity may give rise to some risks, such as the presence of pathogens in microbiomes. We argue here that by taking the necessary precautions and through clever monitoring and interpretation, these risks can be mitigated.

Subjects

Subjects :
Biotechnology
TP248.13-248.65

Details

Language :
English
ISSN :
17517915
Volume :
13
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Microbial Biotechnology
Publication Type :
Academic Journal
Accession number :
edsdoj.75c4613837d470b83e50c8d0f2114e7
Document Type :
article
Full Text :
https://doi.org/10.1111/1751-7915.13575