[Upgrading microbial strains for fermentation industry].

Fermentation is a green, low-carbon and sustainable process for the production of food, chemicals, fuels, and materials by using microbial strains as biocatalysts and renewable resources such as starch and biomass as feedstocks. China has the world's largest fermentation industry, the scale of amino acids, vitamins, and some other fermentation products accounted for 60%-80% of the global market share. The development of fermentation industry is of great significance for the strategic goal of "carbon neutralization and carbon peak" and the development of bioeconomy. Microbial strains are the core of fermentation industry, which directly decide what kind of chemical can be produced from what kind of feedstock at what cost. Innovating industrial strains to improve the conversion efficiency of raw materials, increase the production level, and expand product portfolio is the key to the high-quality development of fermentation industry. In recent years, the development of synthetic biology and systems biology has further deepened the understanding of the physiological and metabolic mechanisms of microbial chassis and accelerated the development of gene editing and other enabling technologies for strain design and engineering. All these advances have provided new driving force for the upgrading of industrial strains. This review focused on the representative fermentation products including amino acids, B vitamins, citric acid, and bio-ethanol. The latest progress of strain development for fermentation industry was reviewed from the perspective of basic research and technology innovation for industrial microbial chassis. How the integration of artificial intelligence and automation with life science will reshape the upgrading of industrial strains was also discussed.

[Low carbon biomanufacturing for future food].

Affected by the rapid population growth, the unbalanced level of social and economic development, the aging population and unhealthy eating patterns, we are facing problems such as lack of food and nutrition, and the high incidence of nutrition related diseases. At the same time, the demand for low-carbon development calls for a sustainable food supply model. Therefore, technologies that meet the taste and nutritional needs of consumers, and serve as a green and sustainable food supply model, such as functional sugar, alternative meat and other future food technologies, have attracted increasing attention. The rapidly developed emerging biomanufacturing technology and its products will support the development of a green and low-carbon future food industry and trigger profound changes in the traditional production mode. Collectively, this represents a major strategic development direction of the emerging bioeconomy. This review summarizes the biomanufacturing technology of functional sugars, microbial proteins and key auxiliary ingredients of alternative meat. We discuss the latest progress in cell factory construction, strain evaluation and process optimization in industrial environment and derived product development. Moreover, future development trend was prospected, with the aim to facilitate industrial development of biomanufacturing of future food.

Stress tolerance enhancement via SPT15 base editing in Saccharomyces cerevisiae.

BACKGROUND: Saccharomyces cerevisiae is widely used in traditional brewing and modern fermentation industries to produce biofuels, chemicals and other bioproducts, but challenged by various harsh industrial conditions, such as hyperosmotic, thermal and ethanol stresses. Thus, its stress tolerance enhancement has been attracting broad interests. Recently, CRISPR/Cas-based genome editing technology offers unprecedented tools to explore genetic modifications and performance improvement of S. cerevisiae. RESULTS: Here, we presented that the Target-AID (activation-induced cytidine deaminase) base editor of enabling C-to-T substitutions could be harnessed to generate in situ nucleotide changes on the S. cerevisiae genome, thereby introducing protein point mutations in cells. The general transcription factor gene SPT15 was targeted, and total 36 mutants with diversified stress tolerances were obtained. Among them, the 18 tolerant mutants against hyperosmotic, thermal and ethanol stresses showed more than 1.5-fold increases of fermentation capacities. These mutations were mainly enriched at the N-terminal region and the convex surface of the saddle-shaped structure of Spt15. Comparative transcriptome analysis of three most stress-tolerant (A140G, P169A and R238K) and two most stress-sensitive (S118L and L214V) mutants revealed common and distinctive impacted global transcription reprogramming and transcriptional regulatory hubs in response to stresses, and these five amino acid changes had different effects on the interactions of Spt15 with DNA and other proteins in the RNA Polymerase II transcription machinery according to protein structure alignment analysis. CONCLUSIONS: Taken together, our results demonstrated that the Target-AID base editor provided a powerful tool for targeted in situ mutagenesis in S. cerevisiae and more potential targets of Spt15 residues for enhancing yeast stress tolerance.

A Hierarchical Transcriptional Regulatory Network Required for Long-Term Thermal Stress Tolerance in an Industrial Saccharomyces cerevisiae Strain.

Yeast cells suffer from continuous and long-term thermal stress during high-temperature ethanol fermentation. Understanding the mechanism of yeast thermotolerance is important not only for studying microbial stress biology in basic research but also for developing thermotolerant strains for industrial application. Here, we compared the effects of 23 transcription factor (TF) deletions on high-temperature ethanol fermentation and cell survival after heat shock treatment and identified three core TFs, Sin3p, Srb2p and Mig1p, that are involved in regulating the response to long-term thermotolerance. Further analyses of comparative transcriptome profiling of the core TF deletions and transcription regulatory associations revealed a hierarchical transcriptional regulatory network centered on these three TFs. This global transcriptional regulatory network provided a better understanding of the regulatory mechanism behind long-term thermal stress tolerance as well as potential targets for transcriptome engineering to improve the performance of high-temperature ethanol fermentation by an industrial Saccharomyces cerevisiae strain.

Development and genomic elucidation of hybrid yeast with improved glucose-xylose co-fermentation at high temperature.

Enhanced capability of co-fermenting glucose and xylose at high temperature is highly desirable for yeast application in second-generation bioethanol production. Here, we obtained hybrid strains with improved glucose-xylose co-fermentation properties at high temperature by combining genome shuffling and adaptive evolution. Genome resequencing of these strains suggested predominantly inherited genetic information from one parental strain Spathaspora passalidarum SP rather than the other parental strain Saccharomyces cerevisiae ScY01, possibly due to that the CUG codon system of S. passalidarum might have systematically eliminated most of the functional proteins from S. cerevisiae through misfolding. Compared to SP, one-copy loss of a 146-kb fragment was found in the hybrid strain and regained after being evolved for a while, whereas one-copy loss of an 11-kb fragment was only found after being evolved for a longer time. Besides, the genes affected by nonsynonymous variants were also identified, especially the mutation S540F in the endoplasmic reticulum chaperon Kar2. Structural prediction indicated that S540F might change the substrate binding activity of Kar2, and thus play a role in preventing protein aggregation in yeast at high temperature. Our results illustrated genomic alterations during this process and revealed some genomic factors that might be involved to determine yeast thermotolerance.

Distinct Proteome Remodeling of Industrial Saccharomyces cerevisiae in Response to Prolonged Thermal Stress or Transient Heat Shock.

To gain a deep understanding of yeast-cell response to heat stress, multiple laboratory strains have been intensively studied via genome-wide expression analysis for the mechanistic dissection of classical heat-shock response (HSR). However, robust industrial strains of Saccharomyces cerevisiae have hardly been explored in global analysis for elucidation of the mechanism of thermotolerant response (TR) during fermentation. Herein, we employed data-independent acquisition and sequential window acquisition of all theoretical mass spectra based proteomic workflows to characterize proteome remodeling of an industrial strain, ScY01, responding to prolonged thermal stress or transient heat shock. By comparing the proteomic signatures of ScY01 in TR versus HSR as well as the HSR of the industrial strain versus a laboratory strain, our study revealed disparate response mechanisms of ScY01 during thermotolerant growth or under heat shock. In addition, through proteomics data-mining for decoding transcription factor interaction networks followed by validation experiments, we uncovered the functions of two novel transcription factors, Mig1 and Srb2, in enhancing the thermotolerance of the industrial strain. This study has demonstrated that accurate and high-throughput quantitative proteomics not only provides new insights into the molecular basis for complex microbial phenotypes but also pinpoints upstream regulators that can be targeted for improving the desired traits of industrial microorganisms.

Metabolic and genomic characterisation of stress-tolerant industrial Saccharomyces cerevisiae strains from TALENs-assisted multiplex editing.

TALENs-assisted multiplex editing (TAME) toolbox was previously established and used to successfully enhance ethanol stress tolerance of Saccharomyces cerevisiae laboratory strain. Here, the TAME toolbox was harnessed to improve and elucidate stress tolerances of S. cerevisiae industrial strain. One osmotolerant strain and one thermotolerant strain were selected from the mutant library generated by TAME at corresponding stress conditions, and exhibited 1.2-fold to 1.3-fold increases of fermentation capacities, respectively. Genome resequencing uncovered genomic alterations in the selected stress-tolerant strains, suggesting that cell wall and membrane-related proteins might be major factors behind improved tolerances of yeast to different stresses. Furthermore, amplified mitochondrial DNA might also have an important impact on increased stress tolerance. Unexpectedly, none of predesigned target potential TALENs modification sites showed any genomic variants in sequenced genomes of the selected strains, implicating that the improved stress tolerances might be due to indirect impacts of genome editing via TALENs rather than introducing genomic variants at potential target sites. Our findings not only confirmed TAME could be a useful tool to accelerate the breeding of industrial strain with multiple stress tolerance, but also supported the previous understandings of the complicated mechanisms of multiple stress tolerance in yeast.

[Effect of MIG1 and SNF1 deletion on simultaneous utilization of glucose and xylose by Saccharomyces cerevisiae].

Mig1 and Snf1 are two key regulatory factors involved in glucose repression of Saccharomyces cerevisiae. To enhance simultaneous utilization of glucose and xylose by engineered S. cerevisiae, single and double deletion strains of MIG1 and SNF1 were constructed. Combining shake flask fermentations and transcriptome analysis by RNA-Seq, the mechanism of Mig1 and Snf1 hierarchically regulating differentially expressed genes that might affect simultaneous utilization of glucose and xylose were elucidated. MIG1 deletion did not show any significant effect on co-utilization of mixed sugars. SNF1 deletion facilitated xylose consumption in mixed sugars as well as co-utilization of glucose and xylose, which might be due to that the SNF1 deletion resulted in the de-repression of some genes under nitrogen catabolite repression, thereby favorable to the utilization of nitrogen nutrient. Further deletion of MIG1 gene in the SNF1 deletion strain resulted in the de-repression of more genes under nitrogen catabolite repression and up-regulation of genes involved in carbon central metabolism. Compared with wild type strain, the MIG1 and SNF1 double deletion strain could co-utilize glucose and xylose, and accelerate ethanol accumulation, although this strain consumed glucose faster and xylose slower. Taken together, the MIG1 and SNF1 deletions resulted in up-regulation of genes under nitrogen catabolite repression, which could be beneficial to simultaneous utilization of glucose and xylose. Mig1 and Snf1 might be involved in the hierarchical regulatory network of genes under nitrogen catabolite repression. Dissection of this regulatory network could provide further insights to new targets for improving co-utilization of glucose and xylose.

High production of fatty alcohols in Escherichia coli with fatty acid starvation.

BACKGROUND: Microbial biofuel synthesis attracting increasing attention. Great advances have been made in producing fatty alcohols from fatty acyl-CoAs and fatty acids in Escherichia coli. However, the low titers and limited knowledge regarding the basic characteristics of fatty alcohols, such as location and toxicity, have hampered large-scale industrialization. Further research is still needed. RESULTS: In this study, we designed a novel and efficient strategy to enhance fatty alcohol production by inducing fatty acid starvation. We report the first use of deletions of acyl-ACP thioesterases to enhance fatty alcohol production. Transcriptional analysis was conducted to investigate the mechanism of the designed strategy. Then, fatty alcohol production was further enhanced by deletion of genes from competing pathways. Fatty alcohols were shown to be extracellular products with low toxicity. The final strain, E. coli MGL2, produced fatty alcohols at the remarkable level of 6.33 g/L under fed-batch fermentation, representing the highest reported titer of fatty alcohols produced by microorganisms. CONCLUSIONS: Deletions of genes responsible for synthesis of fatty acids and competing products are promising strategies for fatty alcohol production. Our investigation of the location and toxicity of fatty alcohols suggest bright future for fatty alcohol production in E. coli.

An NGS-Independent Strategy for Proteome-Wide Identification of Single Amino Acid Polymorphisms by Mass Spectrometry.

Detection of proteins containing single amino acid polymorphisms (SAPs) encoded by nonsynonymous SNPs (nsSNPs) can aid researchers in studying the functional significance of protein variants. Most proteogenomic approaches for large-scale SAPs mapping require construction of a sample-specific database containing protein variants predicted from the next-generation sequencing (NGS) data. Searching shotgun proteomic data sets against these NGS-derived databases allowed for identification of SAP peptides, thus validating the proteome-level sequence variation. Contrary to the conventional approaches, our study presents a novel strategy for proteome-wide SAP detection without relying on sample-specific NGS data. By searching a deep-coverage proteomic data set from an industrial thermotolerant yeast strain using our strategy, we identified 337 putative SAPs compared to the reference genome. Among the SAP peptides identified with stringent criteria, 85.2% of SAP sites were validated using whole-genome sequencing data obtained for this organism, which indicates high accuracy of SAP identification with our strategy. More interestingly, for certain SAP peptides that cannot be predicted by genomic sequencing, we used synthetic peptide standards to verify expression of peptide variants in the proteome. Our study has provided a unique tool for proteogenomics to enable proteome-wide direct SAP identification and capture nongenetic protein variants not linked to nsSNPs.

Genome shuffling of the nonconventional yeast Pichia anomala for improved sugar alcohol production.

BACKGROUND: Sugar alcohols have been widely applied in the fields of food and medicine owing to their unique properties. Compared to chemical production, microbial production of sugar alcohols has become attractive because of its environmentally friendly and sustainable characteristics. Our previous study identified the nonconventional yeast Pichia anomala TIB-x229 as a potential producer of sugar alcohols from glucose. To further improve strain performance, we combined genome shuffling with optimized high throughput screening methods for the directed improvement of nonconventional yeast and complex phenotypes. RESULTS: To accelerate strain improvement, a practical genome shuffling procedure was developed and successfully applied in the nonconventional yeast P. anomala to increase sugar alcohol production. Through two rounds of genome shuffling, an improved P. anomala isolate GS2-3 could produce 47.1 g/L total sugar alcohols from 100 g/L glucose, which was 32.3% higher than the original strain. In this process, a simple and accurate colorimetric assay was optimized and used for high throughput screening of sugar alcohol-producing strains. Moreover, a fluorescence-activated cell sorting method was developed to efficiently screen protoplast fusions for genome shuffling of nonconventional yeast. CONCLUSION: An efficient genome shuffling procedure was developed and applied to enhance the sugar alcohol production of the nonconventional yeast P. anomala. Our results provide a general platform for strain improvement of polyol-producing microorganisms or nonconventional microorganisms in the future.

Understanding the Mechanism of Thermotolerance Distinct From Heat Shock Response Through Proteomic Analysis of Industrial Strains of Saccharomyces cerevisiae.

Saccharomyces cerevisiae has been intensively studied in responses to different environmental stresses such as heat shock through global omic analysis. However, the S. cerevisiae industrial strains with superior thermotolerance have not been explored in any proteomic studies for elucidating the tolerance mechanism. Recently a new diploid strain was obtained through evolutionary engineering of a parental industrial strain, and it exhibited even higher resistance to prolonged thermal stress. Herein, we performed iTRAQ-based quantitative proteomic analysis on both the parental and evolved industrial strains to further understand the mechanism of thermotolerant adaptation. Out of ∼ 2600 quantifiable proteins from biological quadruplicates, 193 and 204 proteins were differentially regulated in the parental and evolved strains respectively during heat-stressed growth. The proteomic response of the industrial strains cultivated under prolonged thermal stress turned out to be substantially different from that of the laboratory strain exposed to sudden heat shock. Further analysis of transcription factors underlying the proteomic perturbation also indicated the distinct regulatory mechanism of thermotolerance. Finally, a cochaperone Mdj1 and a metabolic enzyme Adh1 were selected to investigate their roles in mediating heat-stressed growth and ethanol production of yeasts. Our proteomic characterization of the industrial strain led to comprehensive understanding of the molecular basis of thermotolerance, which would facilitate future improvement in the industrially important trait of S. cerevisiae by rational engineering.

TALENs-Assisted Multiplex Editing for Accelerated Genome Evolution To Improve Yeast Phenotypes.

Genome editing is an important tool for building novel genotypes with a desired phenotype. However, the fundamental challenge is to rapidly generate desired alterations on a genome-wide scale. Here, we report TALENs (transcription activator-like effector nucleases)-assisted multiplex editing (TAME), based on the interaction of designed TALENs with the DNA sequences between the critical TATA and GC boxes, for generating multiple targeted genomic modifications. Through iterative cycles of TAME to induce abundant semirational indels coupled with efficient screening using a reporter, the targeted fluorescent trait can be continuously and rapidly improved by accumulating multiplex beneficial genetic modifications in the evolving yeast genome. To further evaluate its efficiency, we also demonstrate the application of TAME for significantly improving ethanol tolerance of yeast in a short amount of time. Therefore, TAME is a broadly generalizable platform for accelerated genome evolution to rapidly improve yeast phenotypes.