Cargando…

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

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 microorg...

Descripción completa

Detalles Bibliográficos
Autores principales: De Vrieze, Jo, De Mulder, Thijs, Matassa, Silvio, Zhou, Jizhong, Angenent, Largus T., Boon, Nico, Verstraete, Willy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7264747/
https://www.ncbi.nlm.nih.gov/pubmed/32311222
http://dx.doi.org/10.1111/1751-7915.13575
_version_ 1783541002863116288
author De Vrieze, Jo
De Mulder, Thijs
Matassa, Silvio
Zhou, Jizhong
Angenent, Largus T.
Boon, Nico
Verstraete, Willy
author_facet De Vrieze, Jo
De Mulder, Thijs
Matassa, Silvio
Zhou, Jizhong
Angenent, Largus T.
Boon, Nico
Verstraete, Willy
author_sort De Vrieze, Jo
collection PubMed
description 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.
format Online
Article
Text
id pubmed-7264747
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-72647472020-06-03 Stochasticity in microbiology: managing unpredictability to reach the Sustainable Development Goals De Vrieze, Jo De Mulder, Thijs Matassa, Silvio Zhou, Jizhong Angenent, Largus T. Boon, Nico Verstraete, Willy Microb Biotechnol Editorial: Microbial Biotechnology for Sustainable Development Goals 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. John Wiley and Sons Inc. 2020-04-20 /pmc/articles/PMC7264747/ /pubmed/32311222 http://dx.doi.org/10.1111/1751-7915.13575 Text en © 2020 The Authors. Microbial Biotechnology published by John Wiley & Sons Ltd and Society for Applied Microbiology. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Editorial: Microbial Biotechnology for Sustainable Development Goals
De Vrieze, Jo
De Mulder, Thijs
Matassa, Silvio
Zhou, Jizhong
Angenent, Largus T.
Boon, Nico
Verstraete, Willy
Stochasticity in microbiology: managing unpredictability to reach the Sustainable Development Goals
title Stochasticity in microbiology: managing unpredictability to reach the Sustainable Development Goals
title_full Stochasticity in microbiology: managing unpredictability to reach the Sustainable Development Goals
title_fullStr Stochasticity in microbiology: managing unpredictability to reach the Sustainable Development Goals
title_full_unstemmed Stochasticity in microbiology: managing unpredictability to reach the Sustainable Development Goals
title_short Stochasticity in microbiology: managing unpredictability to reach the Sustainable Development Goals
title_sort stochasticity in microbiology: managing unpredictability to reach the sustainable development goals
topic Editorial: Microbial Biotechnology for Sustainable Development Goals
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7264747/
https://www.ncbi.nlm.nih.gov/pubmed/32311222
http://dx.doi.org/10.1111/1751-7915.13575
work_keys_str_mv AT devriezejo stochasticityinmicrobiologymanagingunpredictabilitytoreachthesustainabledevelopmentgoals
AT demulderthijs stochasticityinmicrobiologymanagingunpredictabilitytoreachthesustainabledevelopmentgoals
AT matassasilvio stochasticityinmicrobiologymanagingunpredictabilitytoreachthesustainabledevelopmentgoals
AT zhoujizhong stochasticityinmicrobiologymanagingunpredictabilitytoreachthesustainabledevelopmentgoals
AT angenentlargust stochasticityinmicrobiologymanagingunpredictabilitytoreachthesustainabledevelopmentgoals
AT boonnico stochasticityinmicrobiologymanagingunpredictabilitytoreachthesustainabledevelopmentgoals
AT verstraetewilly stochasticityinmicrobiologymanagingunpredictabilitytoreachthesustainabledevelopmentgoals