Strain dynamics of contaminating bacteria modulate the yield of ethanol biorefineries

污染细菌的菌株动态调节乙醇生物精炼厂的产量

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作者:Felipe Senne de Oliveira Lino #, Shilpa Garg #, Simone S Li, Maria-Anna Misiakou, Kang Kang, Bruno Labate Vale da Costa, Tobias Svend-Aage Beyer-Pedersen, Thamiris Guerra Giacon, Thiago Olitta Basso, Gianni Panagiotou, Morten Otto Alexander Sommer

Abstract

Bioethanol is a sustainable energy alternative and can contribute to global greenhouse-gas emission reductions by over 60%. Its industrial production faces various bottlenecks, including sub-optimal efficiency resulting from bacteria. Broad-spectrum removal of these contaminants results in negligible gains, suggesting that the process is shaped by ecological interactions within the microbial community. Here, we survey the microbiome across all process steps at two biorefineries, over three timepoints in a production season. Leveraging shotgun metagenomics and cultivation-based approaches, we identify beneficial bacteria and find improved outcome when yeast-to-bacteria ratios increase during fermentation. We provide a microbial gene catalogue which reveals bacteria-specific pathways associated with performance. We also show that Limosilactobacillus fermentum overgrowth lowers production, with one strain reducing yield by ~5% in laboratory fermentations, potentially due to its metabolite profile. Temperature is found to be a major driver for strain-level dynamics. Improved microbial management strategies could unlock environmental and economic gains in this US $ 60 billion industry enabling its wider adoption.

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