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Researchers track yeast population dynamics in fuel bioethanol production

Researchers track yeast population dynamics in fuel bioethanol production
Schematics of the fermentation process and sequencing strategy. a) A large population (∼1017 individuals) of the yeast S. cerevisiae is maintained over the course of an 8-month-long fermentation season. Yeast ferments must, a mix of molasses, sugarcane juice, and water, to produce ethanol in a fed-batch process that takes ∼8 h and runs in a staggered parallel fashion across several fermentors (8–16 in any 1 plant, each with an ∼500,000 ℓ capacity). The fermented broth (wine) from different fermentors is loaded into a single holding tank, which continuously feeds a centrifuge for separation of the yeast from the liquid fraction. Holding tanks are larger than fermentors themselves and allow for mixing between batches. The yeast cells are then treated with chemicals to control for bacterial growth and are later reused in the process. The yeast population grows by ∼10% every 12 h, leading to approximately 66 generations over the course of an ∼8 months fermentation season. The season is started with selected industrial strains which are commercialized by yeast suppliers. b) We collected whole-population samples of the yeast used for fermentation through 2 seasons (2018 and 2019) in 2 plants (Site A and Site B) located ∼18 km apart in the state of São Paulo, Brazil. The 2 plants are owned by different companies and use different sets of starter strains in their process. We employed a combination of whole-population metagenome sequencing and clonal whole-genome sequencing to observe the temporal dynamics of genetic diversity in each site-year. Credit: G3: Genes, Genomes, Genetics (2023). DOI: 10.1093/g3journal/jkad104

Researchers at the State University of Campinas (UNICAMP) in Brazil, in collaboration with colleagues at Harvard University in the United States, conducted an innovative study of the DNA and population dynamics of Saccharomyces cerevisiae, the yeast used to produce fuel ethanol from sugarcane by plants throughout Brazil, with the aim of finding routes to more stable, consistent and predictable fermentation performance.

The study was based on and metagenomics (the analysis of a collection of genomes from a community of organisms). The results were reported in an article published in the journal G3: Genes, Genomes, Genetics.

Although S. cerevisiae (brewer's yeast) is predominant, invasion by foreign strains remains common, as fermentation conditions are affected by factors such as sugarcane variety, process design, operating conditions and weather, not to mention over the course of a fermentation season, making each of the 400 industrial sugar and ethanol plants in Brazil a unique ecosystem.

Wild strains may be brought into the industrial environment by insects or birds from very different environments. Bacterial contamination also affects fermentation in ways that are not fully understood.

In the study, scientists at UNICAMP's School of Food Engineering (FEA) and Harvard's Department of Organismic and Evolutionary Biology tracked yeast population dynamics in two biorefineries during two production seasons (April-November 2018 and April-November 2019).

In addition to using their novel statistical framework on a combination of metagenomic and clonal sequencing data for some 150 clones from these biorefineries, they mined data for more than 1,000 strains of the yeast from a European study published in 2018, in order to construct a phylogenetic tree.

"DNA sequencing is like fingerprinting. We use it to identify the microorganisms in ethanol fermentation," said Andreas Gombert, a professor at FEA-UNICAMP and first author of the article. "We found that despite the presence of invasive strains and the non-aseptic nature of fermentation, all bioethanol lineages were clustered on the same branch of the tree. They were all related and belonged to the ethanol fermentation environment. This is probably why the main indicators of the process remained very stable in both production seasons."

All four scenarios analyzed were found to be different, with no reproducible pattern. In one, all lineages present during the entire production period derived from one of the starter strains, while in another, invading lineages took over the population and displaced the starter strain. The differences between the two consecutive production periods for the same biorefinery were less pronounced than the differences between the two industrial units.

Next steps

Having obtained these results, the researchers want to understand yeast population dynamics in more detail. For example, which adaptations make each lineage fitter to survive in the fermentation environment in each biorefinery and why do others disappear? What is the effect of external agents that contaminate the process, such as bacteria?

"To find out, we will invest in analysis of not only yeast DNA and but also the DNA of the bacteria that contaminate the process, and then correlate the dynamics of both. This is what we call ethanol fermentation ecology," Gombert said.

More information: Artur Rego-Costa et al, Yeast population dynamics in Brazilian bioethanol production, G3: Genes, Genomes, Genetics (2023). DOI: 10.1093/g3journal/jkad104

Journal information: G3 Genes|Genomes|Genetics

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Citation: Researchers track yeast population dynamics in fuel bioethanol production (2023, August 30) retrieved 3 May 2024 from https://phys.org/news/2023-08-track-yeast-population-dynamics-fuel.html
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