Yeast population dynamics in Brazilian bioethanol production

Author:

Rego-Costa Artur1,Huang I Ting1,Desai Michael M1234,Gombert Andreas K5ORCID

Affiliation:

1. Department of Organismic and Evolutionary Biology, Harvard University , Cambridge, MA 02138 , USA

2. Department of Physics, Harvard University , Cambridge, MA 02138 , USA

3. NSF-Simons Center for Mathematical and Statistical Analysis of Biology, Harvard University , Cambridge, MA 02138 , USA

4. Quantitative Biology Initiative, Harvard University , Cambridge, MA 02138 , USA

5. School of Food Engineering, University of Campinas , Campinas, SP 13083-862 , Brazil

Abstract

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.

Funder

NSF

Harvard Lemann Brazil Research Fund

FAPESP

FAS Division of Science Research Computing Group

Harvard University

Publisher

Oxford University Press (OUP)

Subject

Genetics (clinical),Genetics,Molecular Biology

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