Dataset Information

Metabolic engineering of Komagataella phaffii for the efficient utilization of methanol.

ABSTRACT:

Background

Komagataella phaffii, a type of methanotrophic yeast, can use methanol, a favorable non-sugar substrate in eco-friendly bio-manufacturing. The dissimilation pathway in K. phaffii leads to the loss of carbon atoms in the form of CO₂. However, the ΔFLD strain, engineered to lack formaldehyde dehydrogenase-an essential enzyme in the dissimilation pathway-displayed growth defects when exposed to a methanol-containing medium.

Results

Inhibiting the dissimilation pathway triggers an excessive accumulation of formaldehyde and a decline in the intracellular NAD⁺/NADH ratio. Here, we designed dual-enzyme complex with the alcohol oxidase1/dihydroxyacetone synthase1 (Aox1/Das1), enhancing the regeneration of the formaldehyde receptor xylulose-5-phosphate (Xu5P). This strategy mitigated the harmful effects of formaldehyde accumulation and associated toxicity to cells. Concurrently, we elevated the NAD⁺/NADH ratio by overexpressing isocitrate dehydrogenase in the TCA cycle, promoting intracellular redox homeostasis. The OD₆₀₀ of the optimized combination of the above strategies, strain DF02-1, was 4.28 times higher than that of the control strain DF00 (ΔFLD, HIS4⁺) under 1% methanol. Subsequently, the heterologous expression of methanol oxidase Mox from Hansenula polymorpha in strain DF02-1 resulted in the recombinant strain DF02-4, which displayed a growth at an OD₆₀₀ 4.08 times higher than that the control strain DF00 in medium containing 3% methanol.

Conclusions

The reduction of formaldehyde accumulation, the increase of NAD⁺/NADH ratio, and the enhancement of methanol oxidation effectively improved the efficient utilization of a high methanol concentration by strain ΔFLD strain lacking formaldehyde dehydrogenase. The modification strategies implemented in this study collectively serve as a foundational framework for advancing the efficient utilization of methanol in K. phaffii.

SUBMITTER: Wang Y

PROVIDER: S-EPMC11253385 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature

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Publications

Metabolic engineering of Komagataella phaffii for the efficient utilization of methanol.

Wang Yuanyuan Y Li Ruisi R Zhao Fengguang F Wang Shuai S Zhang Yaping Y Fan Dexun D Han Shuangyan S

Microbial cell factories 20240717 1

<h4>Background</h4>Komagataella phaffii, a type of methanotrophic yeast, can use methanol, a favorable non-sugar substrate in eco-friendly bio-manufacturing. The dissimilation pathway in K. phaffii leads to the loss of carbon atoms in the form of CO<sub>2</sub>. However, the ΔFLD strain, engineered to lack formaldehyde dehydrogenase-an essential enzyme in the dissimilation pathway-displayed growth defects when exposed to a methanol-containing medium.<h4>Results</h4>Inhibiting the dissimilation p ...[more]

PMID: 39014373

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Project description:BackgroundAcetate, an economical industrial chemical, which is also the precursor of acetyl-CoA, could serve as an alternative substrate for biomanufacturing. This nontraditional substrate can be widely produced from syngas via hydrolysis or pyrolysis of the cellulosic biomass, chemical or microbial catalysis, anaerobic fermentation in treated wastewater, etc. However, the toxicity of acetate to microorganisms has held back its utilization, especially for the eukaryotes that are good hosts for production of complicated pharmaceuticals or chemicals. This study seeks to improve acetate utilization in a widely used yeast host, Komagataella phaffii (previously Pichia pastoris), by metabolic engineering of acetate tolerance, transport, and metabolism.ResultsA kinase-deficient library of K. phaffii was firstly used to screen acetate-resistant kinases. The HRK1 knockout strain was sensitive to acetate and overexpression of this gene improved acetate tolerance and cell growth of the strain. Also, overexpression of HRK1 caused a 55% productivity improvement of acetyl-CoA-dependent 6-methylsalicylic acid (6-MSA). However, activation of Hrk1 on membrane H(+)-ATPase Pma1 seemed not to work in the engineered strain. Acetate transporter gene ScFPS1* was further overexpressed, despite of not improving 6-MSA biosynthesis. To enhance acetate metabolism, acetyl-CoA synthesizing related genes, yeast PpACS1, ScACS1*, and E. coli ackA/pta were overexpressed separately. Introduction of PpACS1 and ScACS1* each increased biosynthesis of 6-MSA by approximately 20% on 20 mM acetate. Finally, co-overexpression of HRK1 and ScACS1* improved 6-MSA productivity by 51% on 20 mM acetate, despite that a low expression level of HRK1 happened when genes were expressed under the same promoter.ConclusionsHRK1 screened by K. phaffii kinase-deficient library played an important role in acetate tolerance and was proved to profit the biosynthesis of acetyl-CoA-derived chemicals. It could be a potential target for metabolic engineering of acetate utilization in other eukaryotic hosts as well. A combined strategy of introducing genes for acetate tolerance and metabolism further improved biosynthesis of acetyl-CoA derived reporter compound in K. phaffii. This makes it a good choice for acetyl-CoA-derived chemicals with acetate as substrate or precursor in K. phaffii, which would also extend the use of this chassis host.

Project description:Genome-scale metabolic models are valuable tools for the design of novel strains of industrial microorganisms, such as Komagataella phaffii (syn. Pichia pastoris). However, as is the case for many industrial microbes, there is no executable metabolic model for K. phaffiii that confirms to current standards by providing the metabolite and reactions IDs, to facilitate model extension and reuse, and gene-reaction associations to enable identification of targets for genetic manipulation. In order to remedy this deficiency, we decided to reconstruct the genome-scale metabolic model of K. phaffii by reconciling the extant models and performing extensive manual curation in order to construct an executable model (Kp.1.0) that conforms to current standards. We then used this model to study the effect of biomass composition on the predictive success of the model. Twelve different biomass compositions obtained from published empirical data obtained under a range of growth conditions were employed in this investigation. We found that the success of Kp1.0 in predicting both gene essentiality and growth characteristics was relatively unaffected by biomass composition. However, we found that biomass composition had a profound effect on the distribution of the fluxes involved in lipid, DNA, and steroid biosynthetic processes, cellular alcohol metabolic process, and oxidation-reduction process. Furthermore, we investigated the effect of biomass composition on the identification of suitable target genes for strain development. The analyses revealed that around 40% of the predictions of the effect of gene overexpression or deletion changed depending on the representation of biomass composition in the model. Considering the robustness of the in silico flux distributions to the changing biomass representations enables better interpretation of experimental results, reduces the risk of wrong target identification, and so both speeds and improves the process of directed strain development.

Dataset Information

Metabolic engineering of Komagataella phaffii for the efficient utilization of methanol.

Background

Results

Conclusions

Publications

Metabolic engineering of Komagataella phaffii for the efficient utilization of methanol.

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