Metabolic Engineering Communications最新文献

Plastic waste has caused a global environmental crisis. Biocatalytic depolymerization mediated by enzymes has emerged as an efficient and sustainable alternative for plastic treatment and recycling. However, it is challenging and time-consuming to discover novel plastic-degrading enzymes using conventional cultivation-based or omics methods. There is a growing interest in developing effective computational methods to identify new enzymes with desirable plastic degradation functionalities by exploring the ever-increasing databases of protein sequences. In this study, we designed an innovative machine learning-based framework, named PEZy-Miner, to mine for enzymes with high potential in degrading plastics of interest. Two datasets integrating information from experimentally verified enzymes and homologs with unknown plastic-degrading activity were created respectively, covering eleven types of plastic substrates. Protein language models and binary classification models were developed to predict enzymatic degradation of plastics along with confidence and uncertainty estimation. PEZy-Miner exhibited high prediction accuracy and stability when validated on experimentally verified enzymes. Furthermore, by masking the experimentally verified enzymes and blending them into homolog dataset, PEZy-Miner effectively concentrated the experimentally verified entries by 14∼30 times while shortlisting promising plastic-degrading enzyme candidates. We applied PEZy-Miner to 0.1 million putative sequences, out of which 27 new sequences were identified with high confidence. This study provided a new computational tool for mining and recommending promising new plastic-degrading enzymes.

The budding yeast, Saccharomyces cerevisiae, has a high tolerance to organic acids and alcohols, and thus grows well under toxic concentrations of various compounds in the culture medium, potentially allowing for highly efficient compound production. (R)-citramalate is a raw material for methyl methacrylate and can be used as a metabolic intermediate in the biosynthesis of higher alcohols. (R)-citramalate is synthesized from pyruvate and acetyl-CoA. Unlike Escherichia coli, S. cerevisiae has organelles, and its intracellular metabolites are compartmentalized, preventing full use of intracellular acetyl-CoA. Therefore, in this study, to increase the amount of cytosolic acetyl-CoA for highly efficient production of (R)-citramalate, we inhibited the transport of cytosolic acetyl-CoA and pyruvate to the mitochondria. We also constructed a heterologous pathway to supply cytosolic acetyl-CoA. Additionally, we attempted to export (R)-citramalate from cells by expressing a heterologous dicarboxylate transporter gene. We evaluated the effects of these approaches on (R)-citramalate production and constructed a final strain by combining these positive approaches. The resulting strain produced 16.5 mM (R)-citramalate in batch culture flasks. This is the first report of (R)-citramalate production by recombinant S. cerevisiae, and the (R)-citramalate production by recombinant yeast achieved in this study was the highest reported to date.

Incorporation of irreversible steps in pathway design enhances the overall thermodynamic favorability and often leads to better bioconversion yield given functional enzymes. Using this concept, here we constructed the first non-natural itaconate biosynthesis pathway driven by thioester hydrolysis. Itaconate is a commercially valuable platform chemical with wide applications in the synthetic polymer industry. Production of itaconate has long relied on the decarboxylation of TCA cycle intermediate cis-aconitate as the only biosynthetic route. Inspired by nature's design of itaconate detoxification, here we engineered a novel itaconate producing pathway orthogonal to native metabolism with no requirement of auxotrophic knock-out. The reversed degradation pathway initiates with pyruvate and acetyl-CoA condensation forming (S)-citramalyl-CoA, followed by its dehydration and isomerization into itaconyl-CoA then hydrolysis into itaconate. Phenylacetyl-CoA thioesterase (PaaI) from Escherichia coli was identified via screening to deliver the highest itaconate formation efficiency when coupled to the reversible activity of citramalate lyase and itaconyl-CoA hydratase. The preference of PaaI towards itaconyl-CoA hydrolysis over acetyl-CoA and (S)-citramalyl-CoA also minimized the inevitable precursor loss due to enzyme promiscuity. With acetate recycling, acetyl-CoA conservation, and condition optimization, we achieved a final itaconate titer of 1 g/L using the thioesterase driven pathway, which is a significant improvement compared to the original degradation pathway based on CoA transferase. This study illustrates the significance of thermodynamic favorability as a design principle in pathway engineering.