Abstract

BackgroundScheffersomyces stipitis is an important yeast species in the field of biorenewables due to its desired capacity for xylose utilization. It has been recognized that redox balance plays a critical role in S. stipitis due to the different cofactor preferences in xylose assimilation pathway. However, there has not been any systems level understanding on how the shift in redox balance contributes to the overall metabolic shift in S. stipitis to cope with reduced oxygen uptake. Genome-scale metabolic network models (GEMs) offer the opportunity to gain such systems level understanding; however, currently the two published GEMs for S. stipitis cannot be used for this purpose, as neither of them is able to capture the strain’s fermentative metabolism reasonably well due to their poor prediction of xylitol production, a key by-product under oxygen limited conditions.ResultsA system identification-based (SID-based) framework that we previously developed for GEM validation is expanded and applied to refine a published GEM for S. stipitis, iBB814. After the modified GEM, named iDH814, was validated using literature data, it is used to obtain genome-scale understanding on how redox cofactor shifts when cells respond to reduced oxygen supply. The SID-based framework for GEM analysis was applied to examine how the environmental perturbation (i.e., reduced oxygen supply) propagates through the metabolic network, and key reactions that contribute to the shifts of redox and metabolic state were identified. Finally, the findings obtained through GEM analysis were validated using transcriptomic data.ConclusionsiDH814, the modified model, was shown to offer significantly improved performance in terms of matching available experimental results and better capturing available knowledge on the organism. More importantly, our analysis based on iDH814 provides the first genome-scale understanding on how redox balance in S. stipitis was shifted as a result of reduced oxygen supply. The systems level analysis identified the key contributors to the overall metabolic state shift, which were validated using transcriptomic data. The analysis confirmed that S. stipitis uses a concerted approach to cope with the stress associated with reduced oxygen supply, and the shift of reducing power from NADPH to NADH seems to be the center theme that directs the overall shift in metabolic states.

Highlights

  • Scheffersomyces stipitis is an important yeast species in the field of biorenewables due to its desired capacity for xylose utilization

  • CRISPR-based genetic tools have recently been developed for S. stipitis, making it a potential platform stain for producing various compounds derived from the shikimate pathway [4]

  • xylose reductase (XR) prefers nicotinamide adenine dinucleotide phosphate-reduced (NADPH) while xylitol dehydrogenase (XDH) strictly depends on N­ AD+, which leads to redox imbalance

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Summary

Introduction

Scheffersomyces stipitis is an important yeast species in the field of biorenewables due to its desired capacity for xylose utilization. Cofactor balances play critical roles in maintaining intracellular redox hemostasis, which has been recognized to be a prerequisite for robust growth and metabolism [5] This is especially the case for S. stipitis, because the first two reactions in xylose assimilation pathway, i.e., xylose reductase (XR) and xylitol dehydrogenase (XDH), prefer different cofactors. It has been suggested that a major cause for the limited growth performance and ethanol biosynthetic capacity of S. stipitis with xylose as substrate is the redox bottleneck, rather than enzyme activity deficiency that hinders specific metabolic pathways [6, 7] It is well-recognized that the cellular redox balance is sustained through an intricate network with multiple redox reactions. Currently there has not been a systems level analysis nor understanding on how different metabolic pathways involving production/ consumption of cofactors shift in a coherent fashion in response to reduced oxygen supply to produce ethanol

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