Energy-translation coupling limits anaerobic yeast growth

Understanding how nutrient-specific limitations shape anaerobic metabolism in Saccharomyces cerevisiae is essential for defining the physiological limits of yeast growth. Integrating chemostat physiology, multi-omic profiling, and targeted metabolic engineering under strictly anaerobic conditions, we show that yeast maintains a conserved maximum glucose uptake (~14 mmol/gDW/h) under carbon (C), nitrogen (N), and phosphorus (P) limitation, while distinct regulatory bottlenecks constrain maximal growth rate: ATP insufficiency under C and P limitation, and aminoacyl-tRNA synthetase scarcity under N limitation. Under these stresses, S. cerevisiae reallocates proteomic resources toward anabolic functions, with nutrient-specific phosphorylation networks compensating for translational stress, most pronounced under N limitation. Building on these insights, a “push–pull” strategy enhancing energy supply (VMA3) and translational capacity (WRS1) increased the maximal anaerobic growth rate by 27.2%, 47.5% and 52.5% under C, N, and P limitation, respectively. These findings reveal energy–translation coupling as the central determinant of anaerobic growth limits and provide a framework for rational strain engineering. Saccharomyces cerevisiae must balance limited protein resources between energy generation and translation capacity. Here, authors map these trade-offs in yeast under nutrient stress, revealing a coupled energy-translation bottleneck that can be engineered to synergistically boost anaerobic growth and ethanol yields.

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Publication Details

Journal
Nature Communications
Published
2026-06-12
DOI
https://doi.org/10.1038/s41467-026-74197-4
Primary Topic
RNA and protein synthesis mechanisms
Type
article
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article

Energy-translation coupling limits anaerobic yeast growth

Sizhe Qiu, Xiaofei Yu, Guan Wang, Yu Chen et al.
Nature Communications
RNA and protein synthesis mechanisms
article

Energy-translation coupling limits anaerobic yeast growth

Sizhe Qiu, Xiaofei Yu, Guan Wang, Yu Chen, Zilong Shao, Lifan Chen, Yong Wang, Feiran Li, Y Huang, Yingping Zhuang, Yazhi Liu, Yongbo Wang
article en

Abstract

Understanding how nutrient-specific limitations shape anaerobic metabolism in Saccharomyces cerevisiae is essential for defining the physiological limits of yeast growth. Integrating chemostat physiology, multi-omic profiling, and targeted metabolic engineering under strictly anaerobic conditions, we show that yeast maintains a conserved maximum glucose uptake (~14 mmol/gDW/h) under carbon (C), nitrogen (N), and phosphorus (P) limitation, while distinct regulatory bottlenecks constrain maximal growth rate: ATP insufficiency under C and P limitation, and aminoacyl-tRNA synthetase scarcity under N limitation. Under these stresses, S. cerevisiae reallocates proteomic resources toward anabolic functions, with nutrient-specific phosphorylation networks compensating for translational stress, most pronounced under N limitation. Building on these insights, a “push–pull” strategy enhancing energy supply (VMA3) and translational capacity (WRS1) increased the maximal anaerobic growth rate by 27.2%, 47.5% and 52.5% under C, N, and P limitation, respectively. These findings reveal energy–translation coupling as the central determinant of anaerobic growth limits and provide a framework for rational strain engineering. Saccharomyces cerevisiae must balance limited protein resources between energy generation and translation capacity. Here, authors map these trade-offs in yeast under nutrient stress, revealing a coupled energy-translation bottleneck that can be engineered to synergistically boost anaerobic growth and ethanol yields.

Nature Communications
East China University of Science and Technology (CN), Chinese Academy of Sciences (CN), University of Oxford (GB), Tsinghua–Berkeley Shenzhen Institute (CN), Shenzhen Institutes of Advanced Technology (CN), Qingdao Institute of Bioenergy and Bioprocess Technology (CN), Tsinghua University (CN)
Affordable and clean energy
Openalex Percentile: Top 10%
RNA and protein synthesis mechanisms
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