The optimization of microbial functions through rational environmental manipulations

Microorganisms play a central role in biotechnology and it is key that we develop strategies to engineer and optimize their functionality. To this end, most efforts have focused on introducing genetic manipulations in microorganisms which are then grown either in monoculture or in mixed-species cons...

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Detalles Bibliográficos
Autores: Sánchez de Andrés, Álvaro, Arrabal, Andrea, San Román, Magdalena, Díaz-Colunga, Juan
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/360243
Acceso en línea:http://hdl.handle.net/10261/360243
https://api.elsevier.com/content/abstract/scopus_id/85185662184
Access Level:acceso abierto
Palabra clave:Community optimization
Environmental interactions
Genetic algorithms
Microbial consortia
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spelling The optimization of microbial functions through rational environmental manipulationsSánchez de Andrés, ÁlvaroArrabal, AndreaSan Román, MagdalenaDíaz-Colunga, JuanCommunity optimizationEnvironmental interactionsGenetic algorithmsMicrobial consortiaMicroorganisms play a central role in biotechnology and it is key that we develop strategies to engineer and optimize their functionality. To this end, most efforts have focused on introducing genetic manipulations in microorganisms which are then grown either in monoculture or in mixed-species consortia. An alternative strategy to optimize microbial processes is to rationally engineer the environment in which microbes grow. The microbial environment is multidimensional, including factors such as temperature, pH, salinity, nutrient composition, etc. These environmental factors all influence the growth and phenotypes of microorganisms and they generally "interact" with one another, combining their effects in complex, non-additive ways. In this piece, we overview the origins and consequences of these "interactions" between environmental factors and discuss how they have been built into statistical, bottom-up predictive models of microbial function to identify optimal environmental conditions for monocultures and microbial consortia. We also overview alternative "top-down" approaches, such as genetic algorithms, to finding optimal combinations of environmental factors. By providing a brief summary of the state of this field, we hope to stimulate further work on the rational manipulation and optimization of the microbial environment.Peer reviewedJohn Wiley & SonsSánchez, Álvaro [0000-0002-2292-5608]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242024info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/360243https://api.elsevier.com/content/abstract/scopus_id/85185662184reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://doi.org/10.1111/mmi.15236Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3602432026-05-22T06:33:51Z
dc.title.none.fl_str_mv The optimization of microbial functions through rational environmental manipulations
title The optimization of microbial functions through rational environmental manipulations
spellingShingle The optimization of microbial functions through rational environmental manipulations
Sánchez de Andrés, Álvaro
Community optimization
Environmental interactions
Genetic algorithms
Microbial consortia
title_short The optimization of microbial functions through rational environmental manipulations
title_full The optimization of microbial functions through rational environmental manipulations
title_fullStr The optimization of microbial functions through rational environmental manipulations
title_full_unstemmed The optimization of microbial functions through rational environmental manipulations
title_sort The optimization of microbial functions through rational environmental manipulations
dc.creator.none.fl_str_mv Sánchez de Andrés, Álvaro
Arrabal, Andrea
San Román, Magdalena
Díaz-Colunga, Juan
author Sánchez de Andrés, Álvaro
author_facet Sánchez de Andrés, Álvaro
Arrabal, Andrea
San Román, Magdalena
Díaz-Colunga, Juan
author_role author
author2 Arrabal, Andrea
San Román, Magdalena
Díaz-Colunga, Juan
author2_role author
author
author
dc.contributor.none.fl_str_mv Sánchez, Álvaro [0000-0002-2292-5608]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Community optimization
Environmental interactions
Genetic algorithms
Microbial consortia
topic Community optimization
Environmental interactions
Genetic algorithms
Microbial consortia
description Microorganisms play a central role in biotechnology and it is key that we develop strategies to engineer and optimize their functionality. To this end, most efforts have focused on introducing genetic manipulations in microorganisms which are then grown either in monoculture or in mixed-species consortia. An alternative strategy to optimize microbial processes is to rationally engineer the environment in which microbes grow. The microbial environment is multidimensional, including factors such as temperature, pH, salinity, nutrient composition, etc. These environmental factors all influence the growth and phenotypes of microorganisms and they generally "interact" with one another, combining their effects in complex, non-additive ways. In this piece, we overview the origins and consequences of these "interactions" between environmental factors and discuss how they have been built into statistical, bottom-up predictive models of microbial function to identify optimal environmental conditions for monocultures and microbial consortia. We also overview alternative "top-down" approaches, such as genetic algorithms, to finding optimal combinations of environmental factors. By providing a brief summary of the state of this field, we hope to stimulate further work on the rational manipulation and optimization of the microbial environment.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/360243
https://api.elsevier.com/content/abstract/scopus_id/85185662184
url http://hdl.handle.net/10261/360243
https://api.elsevier.com/content/abstract/scopus_id/85185662184
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://doi.org/10.1111/mmi.15236
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv John Wiley & Sons
publisher.none.fl_str_mv John Wiley & Sons
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812455

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