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Yeast population dynamics in Brazilian bioethanol production
The large-scale and nonaseptic fermentation of sugarcane feedstocks into fuel ethanol in biorefineries represents a unique ecological niche, in which the yeast Saccharomyces cerevisiae is the predominant organism. Several factors, such as sugarcane variety, process design, and operating and weather...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320141/ https://www.ncbi.nlm.nih.gov/pubmed/37267305 http://dx.doi.org/10.1093/g3journal/jkad104 |
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author | Rego-Costa, Artur Huang, I Ting Desai, Michael M Gombert, Andreas K |
author_facet | Rego-Costa, Artur Huang, I Ting Desai, Michael M Gombert, Andreas K |
author_sort | Rego-Costa, Artur |
collection | PubMed |
description | The large-scale and nonaseptic fermentation of sugarcane feedstocks into fuel ethanol in biorefineries represents a unique ecological niche, in which the yeast Saccharomyces cerevisiae is the predominant organism. Several factors, such as sugarcane variety, process design, and operating and weather conditions, make each of the ∼400 industrial units currently operating in Brazil a unique ecosystem. Here, we track yeast population dynamics in 2 different biorefineries through 2 production seasons (April to November of 2018 and 2019), using a novel statistical framework on a combination of metagenomic and clonal sequencing data. We find that variation from season to season in 1 biorefinery is small compared to the differences between the 2 units. In 1 biorefinery, all lineages present during the entire production period derive from 1 of the starter strains, while in the other, invading lineages took over the population and displaced the starter strain. However, despite the presence of invading lineages and the nonaseptic nature of the process, all yeast clones we isolated are phylogenetically related to other previously sequenced bioethanol yeast strains, indicating a common origin from this industrial niche. Despite the substantial changes observed in yeast populations through time in each biorefinery, key process indicators remained quite stable through both production seasons, suggesting that the process is robust to the details of these population dynamics. |
format | Online Article Text |
id | pubmed-10320141 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-103201412023-07-06 Yeast population dynamics in Brazilian bioethanol production Rego-Costa, Artur Huang, I Ting Desai, Michael M Gombert, Andreas K G3 (Bethesda) Investigation The large-scale and nonaseptic fermentation of sugarcane feedstocks into fuel ethanol in biorefineries represents a unique ecological niche, in which the yeast Saccharomyces cerevisiae is the predominant organism. Several factors, such as sugarcane variety, process design, and operating and weather conditions, make each of the ∼400 industrial units currently operating in Brazil a unique ecosystem. Here, we track yeast population dynamics in 2 different biorefineries through 2 production seasons (April to November of 2018 and 2019), using a novel statistical framework on a combination of metagenomic and clonal sequencing data. We find that variation from season to season in 1 biorefinery is small compared to the differences between the 2 units. In 1 biorefinery, all lineages present during the entire production period derive from 1 of the starter strains, while in the other, invading lineages took over the population and displaced the starter strain. However, despite the presence of invading lineages and the nonaseptic nature of the process, all yeast clones we isolated are phylogenetically related to other previously sequenced bioethanol yeast strains, indicating a common origin from this industrial niche. Despite the substantial changes observed in yeast populations through time in each biorefinery, key process indicators remained quite stable through both production seasons, suggesting that the process is robust to the details of these population dynamics. Oxford University Press 2023-06-02 /pmc/articles/PMC10320141/ /pubmed/37267305 http://dx.doi.org/10.1093/g3journal/jkad104 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of The Genetics Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Investigation Rego-Costa, Artur Huang, I Ting Desai, Michael M Gombert, Andreas K Yeast population dynamics in Brazilian bioethanol production |
title | Yeast population dynamics in Brazilian bioethanol production |
title_full | Yeast population dynamics in Brazilian bioethanol production |
title_fullStr | Yeast population dynamics in Brazilian bioethanol production |
title_full_unstemmed | Yeast population dynamics in Brazilian bioethanol production |
title_short | Yeast population dynamics in Brazilian bioethanol production |
title_sort | yeast population dynamics in brazilian bioethanol production |
topic | Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320141/ https://www.ncbi.nlm.nih.gov/pubmed/37267305 http://dx.doi.org/10.1093/g3journal/jkad104 |
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