Cargando…

A yeast metabolome-based model for an ecotoxicological approach in the management of lignocellulosic ethanol stillage

Lignocellulosic bioethanol production results in huge amounts of stillage, a potentially polluting by-product. Stillage, rich in heavy metals and, mainly, inhibitors, requires specific toxicity studies to be adequately managed. To this purpose, we applied an FTIR ecotoxicological bioassay to evaluat...

Descripción completa

Detalles Bibliográficos
Autores principales: Roscini, Luca, Favaro, Lorenzo, Corte, Laura, Cagnin, Lorenzo, Colabella, Claudia, Basaglia, Marina, Cardinali, Gianluigi, Casella, Sergio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6366221/
https://www.ncbi.nlm.nih.gov/pubmed/30800340
http://dx.doi.org/10.1098/rsos.180718
_version_ 1783393581823688704
author Roscini, Luca
Favaro, Lorenzo
Corte, Laura
Cagnin, Lorenzo
Colabella, Claudia
Basaglia, Marina
Cardinali, Gianluigi
Casella, Sergio
author_facet Roscini, Luca
Favaro, Lorenzo
Corte, Laura
Cagnin, Lorenzo
Colabella, Claudia
Basaglia, Marina
Cardinali, Gianluigi
Casella, Sergio
author_sort Roscini, Luca
collection PubMed
description Lignocellulosic bioethanol production results in huge amounts of stillage, a potentially polluting by-product. Stillage, rich in heavy metals and, mainly, inhibitors, requires specific toxicity studies to be adequately managed. To this purpose, we applied an FTIR ecotoxicological bioassay to evaluate the toxicity of lignocellulosic stillage. Two weak acids and furans, most frequently found in lignocellulosic stillage, have been tested in different mixtures against three Saccharomyces cerevisiae strains. The metabolomic reaction of the test microbes and the mortality induced at various levels of inhibitor concentration showed that the strains are representative of three different types of response. Furthermore, the relationship between concentrations and FTIR synthetic stress indexes has been studied, with the aim of defining a model able to predict the concentrations of inhibitors in stillage, resulting in an optimized predictive model for all the strains. This approach represents a promising tool to support the ecotoxicological management of lignocellulosic stillage.
format Online
Article
Text
id pubmed-6366221
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher The Royal Society
record_format MEDLINE/PubMed
spelling pubmed-63662212019-02-22 A yeast metabolome-based model for an ecotoxicological approach in the management of lignocellulosic ethanol stillage Roscini, Luca Favaro, Lorenzo Corte, Laura Cagnin, Lorenzo Colabella, Claudia Basaglia, Marina Cardinali, Gianluigi Casella, Sergio R Soc Open Sci Biology (Whole Organism) Lignocellulosic bioethanol production results in huge amounts of stillage, a potentially polluting by-product. Stillage, rich in heavy metals and, mainly, inhibitors, requires specific toxicity studies to be adequately managed. To this purpose, we applied an FTIR ecotoxicological bioassay to evaluate the toxicity of lignocellulosic stillage. Two weak acids and furans, most frequently found in lignocellulosic stillage, have been tested in different mixtures against three Saccharomyces cerevisiae strains. The metabolomic reaction of the test microbes and the mortality induced at various levels of inhibitor concentration showed that the strains are representative of three different types of response. Furthermore, the relationship between concentrations and FTIR synthetic stress indexes has been studied, with the aim of defining a model able to predict the concentrations of inhibitors in stillage, resulting in an optimized predictive model for all the strains. This approach represents a promising tool to support the ecotoxicological management of lignocellulosic stillage. The Royal Society 2019-01-16 /pmc/articles/PMC6366221/ /pubmed/30800340 http://dx.doi.org/10.1098/rsos.180718 Text en © 2019 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Biology (Whole Organism)
Roscini, Luca
Favaro, Lorenzo
Corte, Laura
Cagnin, Lorenzo
Colabella, Claudia
Basaglia, Marina
Cardinali, Gianluigi
Casella, Sergio
A yeast metabolome-based model for an ecotoxicological approach in the management of lignocellulosic ethanol stillage
title A yeast metabolome-based model for an ecotoxicological approach in the management of lignocellulosic ethanol stillage
title_full A yeast metabolome-based model for an ecotoxicological approach in the management of lignocellulosic ethanol stillage
title_fullStr A yeast metabolome-based model for an ecotoxicological approach in the management of lignocellulosic ethanol stillage
title_full_unstemmed A yeast metabolome-based model for an ecotoxicological approach in the management of lignocellulosic ethanol stillage
title_short A yeast metabolome-based model for an ecotoxicological approach in the management of lignocellulosic ethanol stillage
title_sort yeast metabolome-based model for an ecotoxicological approach in the management of lignocellulosic ethanol stillage
topic Biology (Whole Organism)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6366221/
https://www.ncbi.nlm.nih.gov/pubmed/30800340
http://dx.doi.org/10.1098/rsos.180718
work_keys_str_mv AT rosciniluca ayeastmetabolomebasedmodelforanecotoxicologicalapproachinthemanagementoflignocellulosicethanolstillage
AT favarolorenzo ayeastmetabolomebasedmodelforanecotoxicologicalapproachinthemanagementoflignocellulosicethanolstillage
AT cortelaura ayeastmetabolomebasedmodelforanecotoxicologicalapproachinthemanagementoflignocellulosicethanolstillage
AT cagninlorenzo ayeastmetabolomebasedmodelforanecotoxicologicalapproachinthemanagementoflignocellulosicethanolstillage
AT colabellaclaudia ayeastmetabolomebasedmodelforanecotoxicologicalapproachinthemanagementoflignocellulosicethanolstillage
AT basagliamarina ayeastmetabolomebasedmodelforanecotoxicologicalapproachinthemanagementoflignocellulosicethanolstillage
AT cardinaligianluigi ayeastmetabolomebasedmodelforanecotoxicologicalapproachinthemanagementoflignocellulosicethanolstillage
AT casellasergio ayeastmetabolomebasedmodelforanecotoxicologicalapproachinthemanagementoflignocellulosicethanolstillage
AT rosciniluca yeastmetabolomebasedmodelforanecotoxicologicalapproachinthemanagementoflignocellulosicethanolstillage
AT favarolorenzo yeastmetabolomebasedmodelforanecotoxicologicalapproachinthemanagementoflignocellulosicethanolstillage
AT cortelaura yeastmetabolomebasedmodelforanecotoxicologicalapproachinthemanagementoflignocellulosicethanolstillage
AT cagninlorenzo yeastmetabolomebasedmodelforanecotoxicologicalapproachinthemanagementoflignocellulosicethanolstillage
AT colabellaclaudia yeastmetabolomebasedmodelforanecotoxicologicalapproachinthemanagementoflignocellulosicethanolstillage
AT basagliamarina yeastmetabolomebasedmodelforanecotoxicologicalapproachinthemanagementoflignocellulosicethanolstillage
AT cardinaligianluigi yeastmetabolomebasedmodelforanecotoxicologicalapproachinthemanagementoflignocellulosicethanolstillage
AT casellasergio yeastmetabolomebasedmodelforanecotoxicologicalapproachinthemanagementoflignocellulosicethanolstillage