Second-generation ethanol is a promising renewable alternative to traditional transportation fuels. However, its large-scale production via fermentation faces economic and technical challenges, including microbial contamination. This study evaluates how ten common lignocellulosic inhibitors, formed during biomass pretreatment, affect the growth of the industrial ethanol-producing yeast Saccharomyces cerevisiae PE-2 and the two bacterial contaminants Lactiplantibacillus plantarum I4a and Limosilactobacillus fermentum I3a. The bacteria demonstrated greater resilience to furanic compounds than yeast. In heterofermentative bacteria, furanic compounds stimulated growth, increasing the maximum specific growth rate (μmax) from 0.35 h-1 (control) to 0.46 h-1 and 0.40 h-1 with 1 g·L-1 HMF and 1.5 g·L-1 furfural, respectively. In contrast, yeast μmax dropped to 35 % of the control when exposed to furfural. Organic acids, particularly formic acid, were the most inhibitory to both yeast and bacteria, due to their low pKa and high membrane permeability, blocking completely the growth of both bacteria and yeast at 2 g·L-1. S. cerevisiae PE-2 exhibited greater tolerance to phenolic compounds, maintaining a relative µmax of 50 % compared to the control, even at low concentrations that were sufficient to inhibit bacterial growth. These findings highlight the critical role of hydrolysate composition in shaping contamination profiles, as yeast and bacteria display distinct inhibitor tolerances. Targeting bacterial contaminants and selecting robust yeast strains capable of withstanding inhibitory conditions are essential strategies to improve fermentation efficiency, addressing a key barrier to the economic viability of second-generation ethanol production.
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Evidence ID | Analyze ID | Gene/Complex | Systematic Name/Complex Accession | Qualifier | Gene Ontology Term ID | Gene Ontology Term | Aspect | Annotation Extension | Evidence | Method | Source | Assigned On | Reference |
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Evidence ID | Analyze ID | Gene | Gene Systematic Name | Phenotype | Experiment Type | Experiment Type Category | Mutant Information | Strain Background | Chemical | Details | Reference |
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Evidence ID | Analyze ID | Gene | Gene Systematic Name | Disease Ontology Term | Disease Ontology Term ID | Qualifier | Evidence | Method | Source | Assigned On | Reference |
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Evidence ID | Analyze ID | Regulator | Regulator Systematic Name | Target | Target Systematic Name | Direction | Regulation of | Happens During | Regulator Type | Direction | Regulation Of | Happens During | Method | Evidence | Strain Background | Reference |
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Site | Modification | Modifier | Source | Reference |
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Evidence ID | Analyze ID | Interactor | Interactor Systematic Name | Interactor | Interactor Systematic Name | Allele | Assay | Annotation | Action | Phenotype | SGA score | P-value | Source | Reference | Note |
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Evidence ID | Analyze ID | Interactor | Interactor Systematic Name | Interactor | Interactor Systematic Name | Assay | Annotation | Action | Modification | Source | Reference | Note |
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Complement ID | Locus ID | Gene | Species | Gene ID | Strain background | Direction | Details | Source | Reference |
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Evidence ID | Analyze ID | Dataset | Description | Keywords | Number of Conditions | Reference |
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