ArticleG3 (Bethesda, Md.)2023
Yeast population dynamics in Brazilian bioethanol production.
Article in G3 (Bethesda, Md.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Dynamics of contaminant microbes in bioethanol production from sugarcane.Journal of industrial microbiology & biotechnology · 2026Article
- Experimental evolution in an era of molecular manipulation.Nature reviews. Genetics · 2026Review
- Microbial ecology applied to fuel ethanol production from sugarcane.FEMS microbiology ecology · 2025Review
- Perspectives on current and future yeast technologies for ethanol-based biofuels and bioproducts.FEMS yeast research · 2025Review
- Optimal trade-off between boosted tolerance and growth fitness during adaptive evolution of yeast to ethanol shocks.Biotechnology for biofuels and bioproducts · 2024Article
- Improved Sugarcane-Based Fermentation Processes by an Industrial Fuel-Ethanol Yeast Strain.Journal of fungi (Basel, Switzerland) · 2023Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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