Coupling genome-wide continuous perturbation with biosensor screening reveals the potential targets in yeast isopentanol synthesis network

The increasing consumption of fossil fuels is contributing to global resource depletion and environmental pollution. Branched-chain higher alcohols, such as isopentanol and isobutanol, have attracted significant attention as next-generation biofuels. Biofuel production through microbial fermentation offers a green, sustainable, and renewable alternative to chemical synthesis. While enhanced production of isopentanol has been achieved in a variety of chassis, the fermentation yield has not yet reached levels suitable for industrial-scale production. In this study, we employed a continuous perturbation tool to construct a genome-scale perturbation library, combined with an isopentanol biosensor to screen for high-yielding mutants. We identified five high-yielding mutants, each exhibiting an increased glucose conversion rate and isopentanol titer. The F2 strain, in particular, achieved an isopentanol titer of 1.57 ± 0.014 g/L and a yield of 14.04 ± 0.251 mg/g glucose (10% glucose), surpassing the highest values reported to date in engineered <i>Saccharomyces cerevisiae</i>. Systematic transcriptome analysis of the isopentanol synthesis, glycolysis, glycerol metabolism, and ethanol synthesis pathways revealed that <i>MPC</i>, <i>OAC1</i>, <i>BAT2</i>, <i>GUT2</i>, <i>PDC6</i>, and <i>ALD4</i> are linked to efficient isopentanol production. Further analysis of differentially expressed genes (DEGs) identified 17 and 12 co-expressed DEGs (co-DEGs) in all mutants and the two second-round mutants, respectively. In addition, we validated the knockout or overexpression of key co-DEGs. Our results confirmed the critical roles of <i>HOM3</i> and <i>DIP5</i> in isopentanol production, along with genes associated with the aerobic respiratory chain (<i>SDH3</i>, <i>CYT1</i>, <i>COX7</i>, <i>ROX1</i>, and <i>ATG41</i>) and cofactor balance (<i>BNA2</i> and <i>NDE1</i>). Additionally, functional analysis of the co-DEGs revealed that <i>MAL33</i> is associated with the synthesis of branched-chain higher alcohols, expanding the intracellular metabolic network and offering new possibilities for green, cost-effective biofuel production.

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Publication Details

Journal
Synthetic and Systems Biotechnology
Published
2024-12-30
DOI
https://doi.org/10.1016/j.synbio.2024.12.010
Citations
3
Primary Topic
Microbial Metabolic Engineering and Bioproduction
Type
article
Field-Weighted Citation Impact
0.70

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article

Coupling genome-wide continuous perturbation with biosensor screening reveals the potential targets in yeast isopentanol synthesis network

Guoping Zhao, Yanfei Zhang, Qi Xiao, Jingjing Shi et al.
3 citations
Synthetic and Systems Biotechnology
Microbial Metabolic Engineering and Bioproduction
0.70
article

Coupling genome-wide continuous perturbation with biosensor screening reveals the potential targets in yeast isopentanol synthesis network

Guoping Zhao, Yanfei Zhang, Qi Xiao, Jingjing Shi, Lixian Wang
article en
3 citations

Abstract

The increasing consumption of fossil fuels is contributing to global resource depletion and environmental pollution. Branched-chain higher alcohols, such as isopentanol and isobutanol, have attracted significant attention as next-generation biofuels. Biofuel production through microbial fermentation offers a green, sustainable, and renewable alternative to chemical synthesis. While enhanced production of isopentanol has been achieved in a variety of chassis, the fermentation yield has not yet reached levels suitable for industrial-scale production. In this study, we employed a continuous perturbation tool to construct a genome-scale perturbation library, combined with an isopentanol biosensor to screen for high-yielding mutants. We identified five high-yielding mutants, each exhibiting an increased glucose conversion rate and isopentanol titer. The F2 strain, in particular, achieved an isopentanol titer of 1.57 ± 0.014 g/L and a yield of 14.04 ± 0.251 mg/g glucose (10% glucose), surpassing the highest values reported to date in engineered <i>Saccharomyces cerevisiae</i>. Systematic transcriptome analysis of the isopentanol synthesis, glycolysis, glycerol metabolism, and ethanol synthesis pathways revealed that <i>MPC</i>, <i>OAC1</i>, <i>BAT2</i>, <i>GUT2</i>, <i>PDC6</i>, and <i>ALD4</i> are linked to efficient isopentanol production. Further analysis of differentially expressed genes (DEGs) identified 17 and 12 co-expressed DEGs (co-DEGs) in all mutants and the two second-round mutants, respectively. In addition, we validated the knockout or overexpression of key co-DEGs. Our results confirmed the critical roles of <i>HOM3</i> and <i>DIP5</i> in isopentanol production, along with genes associated with the aerobic respiratory chain (<i>SDH3</i>, <i>CYT1</i>, <i>COX7</i>, <i>ROX1</i>, and <i>ATG41</i>) and cofactor balance (<i>BNA2</i> and <i>NDE1</i>). Additionally, functional analysis of the co-DEGs revealed that <i>MAL33</i> is associated with the synthesis of branched-chain higher alcohols, expanding the intracellular metabolic network and offering new possibilities for green, cost-effective biofuel production.

Synthetic and Systems BiotechnologyVol. 10(2)
Chinese Academy of Sciences (CN), Tianjin Institute of Industrial Biotechnology (CN), Center for Excellence in Molecular Plant Sciences (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences, National Key Research and Development Program of China
Openalex Percentile: Top 28%
Microbial Metabolic Engineering and Bioproduction
0.70
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