Increased transcription of NOP15, involved in ribosome biogenesis in Saccharomyces cerevisiae, enhances the production yield of RNA as a source of nucleotide seasoning

Efficient production of RNA in Saccharomyces cerevisiae through inducing high level transcription of functional ncRNA-SRG1

RNA (Ribonucleic Acid) is an essential component of organisms and is widely used in the food and pharmaceutical industries. Saccharomyces cerevisiae, recognized as a safe strain, is widely used for RNA production. In this study, the S. cerevisiae W303-1a was used as a starting strain and molecular modifications were made to the functional ncRNA-SRG1 to evaluate the effect on RNA production. At the same time, its transcriptionally associated helper genes (Spt2, Spt6 and Cha4) were overexpressed and the culture medium was supplemented with serine to induce SRG1 transcription, to increase SRG1 transcription levels and investigate its effect on intracellular RNA levels. The results showed that the intracellular RNA content of the recombinant strain W303-1a-SRG1 was 10.27 %, an increase of 11.15 % compared to the starting strain (W303-1a, with an intracellular RNA content of 9.24 %). On this basis, a gene co-overexpression strain-W303-1a-SRG1-Spt6 was constructed. Simultaneously, the addition of 2 % serine strategy was used to increase the transcription level of SRG1 and RNA content of the recombinant strain. The intracellular RNA of the recombinant strain reached 11.41 %, an increase of 23.38 % compared to the starting strain (W303-1a, without serine supplementation). In addition, the growth performance of the strain was assessed by measuring the SRG1 transcription level in the strain and plotting the growth curve. Therefore, we found that improving the transcription level of ncRNA can be used as a new idea to construct S. cerevisiae with high RNA content, which provides a strong help for subsequent research in related fields. This work provides a new strategy for increasing the nucleic acid content of S. cerevisiae.

Genetic Strategies and Mechanisms for Improving Ribonucleic Acid Levels of Saccharomyces pastorianus

Developing microorganisms with a high ribonucleic acid (RNA) content is crucial for the RNA industry. Numerous studies have been conducted to enhance RNA production in yeast cells through genetic engineering, yet precise mechanisms remain elusive. Previously, upregulation of TAL1 or PGM2 and deleting PRS5 or DBP8 individually could increase the RNA content in Saccharomyces pastorianus. In this study, within these genetically modified strains, the intracellular nucleotide levels notably increased following cell fragmentation. Deletion of PRS5 and DBP8 within the strain prompted the upregulation of genes sharing similar functions, consequently augmenting the flow of the gene pathway. Furthermore, the upregulation of genes encoding cell-cycle-dependent protein kinases (CDK) was observed in the G03-△PRS5 strain. The influence of TAL1 and PGM2 on RNA content was attributed to the pentose phosphate pathway (PPP). The RNA content of polygenic recombinant strains, G03-△PRS5+△DBP8 and G03-△PRS5+△DBP8+PGM2, displayed the most significant improvement, increasing by 71.8 and 80.1% when compared to the parental strain. Additionally, the maximum specific growth rate of cells increased in these strains. This study contributes valuable insights into the genetic mechanisms underlying high nucleic acid synthesis in S. pastorianus.

Improving ribonucleic acid production in Saccharomyces pastorianus via in silico genome-scale metabolic network model

Ribonucleic acid (RNA) and its degradation products are important biomolecules widely used in the food and pharmaceutical industries for their flavoring and nutritional functions. In this study, we used a genome-scale metabolic network model (GSMM) to explore genetic targets for nucleic acid synthesis in a Saccharomyces pastorianus strain (G03). Yeast 8.5.0 was used as the base model, which accurately predicted G03's growth. Using OptForce, we found that overexpression of ARO8 and ATP1 among six different strategies increased the RNA content of G03 by 58.0% and 74.8%, respectively. We also identified new metabolic targets for improved RNA production using a modified GSMM called TissueModel, constructed using the GIMME transcriptome constraint tool to remove low-expressed reactions in the model. After running OptKnock, the RNA content of G03-△BNA1 and G03-△PMA1 increased by 44.6% and 39.8%, respectively, compared to G03. We suggest that ATP1, ARO8, BNA1, and PMA1 regulate cell fitness, which affects RNA content. This study is the first to identify strategies for RNA overproduction using GSMM and to report that regulation of ATP1, ARO8, BNA1, and PMA1 can increase RNA content in S. pastorianus. These findings also provide valuable knowledge on model reconstruction for S. pastorianus.

Promoting Nucleic Acid Synthesis in Saccharomyces cerevisiae through Enhanced Expression of Rrn7p, Rrn11p, IMPDH, and Pho84p

Saccharomyces cerevisiae has emerged as a preferred source for industrial production of ribonucleic acids (RNAs) and their derivatives, which find wide applications in the food and pharmaceutical sectors. In this study, we employed a modified RNA polymerase I-mediated green fluorescent protein expression system, previously developed by our team, to screen and identify an industrial S. cerevisiae strain with an impressive 18.2% increase in the RNA content. Transcriptome analysis revealed heightened activity of genes and pathways associated with rRNA transcription, purine metabolism, and phosphate transport in the high nucleic acid content mutant strains. Our findings highlighted the crucial role of the transcription factor Sfp1p in enhancing the expression of two key components of the transcription initiation factor complex, Rrn7p and Rrn11p, thereby promoting rRNA synthesis. Moreover, elevated expression of 5'-inosine monophosphate dehydrogenases, regardless of the specific isoform (IMD2, 3, or 4), resulted in increased rRNA synthesis through heightened GTP levels. Additionally, exogenous phosphate application, coupled with overexpression of the phosphate transporter PHO84, led to a 61.4% boost in the RNA yield, reaching 2050.4 mg/L. This comprehensive study provides valuable insights into the mechanism of RNA synthesis and serves as a reference for augmenting RNA production in the food industry.

Enhanced Ribonucleic Acid Production by High-Throughput Screening Based on Fluorescence Activation and Transcriptomic-Guided Fermentation Optimization in Saccharomyces cerevisiae

Currently, the primary source of ribonucleic acids (RNAs), which is used as a flavor enhancer and nutritional supplement in the food manufacturing and processing industries, for large-scale industrial production is yeast, where the challenge is to optimize the cellular RNA content. Here, we developed and screened yeast strains yielding abundant RNAs via various methods. The novel Saccharomyces cerevisiae strain H1 with a 45.1% higher cellular RNA content than its FX-2 parent was successfully generated. Comparative transcriptomic analysis elucidated the molecular mechanisms underlying RNA accumulation in H1. Upregulation of genes encoding the hexose monophosphate and sulfur-containing amino acid biosynthesis pathways promoted RNA accumulation in the yeast, particularly in the presence of glucose as the sole carbon source. Feeding methionine into the bioreactor resulted in 145.2 mg/g dry cell weight and 9.6 g/L of cellular RNA content, which is the highest volumetric productivity of RNAs achieved in S. cerevisiae. This strategy of breeding S. cerevisiae strain with a higher capacity of accumulating abundant RNAs did not employ any genetic modification and thus will be favored by the food industry.

Analysis of the molecular basis of Saccharomyces cerevisiae mutant with high nucleic acid content by comparative transcriptomics

Ribonucleic acid (RNA) and its degradation products are important functional components widely used in the food industry. Transcription analysis was used to explore the genetic mechanism underlying nucleic acid synthesis in the chemical mutant Saccharomyces cerevisiae strain BY23-195 with high nucleic acid content. Results showed that ribosome biogenesis, meiosis, RNA transport, mitogen-activated protein kinase (MAPK) signaling pathway, tryptophan metabolism, carbon metabolism, and longevity regulating pathway are closely related to the high nucleic acid metabolism of S. cerevisiae. Fourteen most promising genes were selected to evaluate the effect of single-gene deletion or overexpression on the RNA synthesis of S. cerevisiae. Compared with the RNA content of the parent strain BY23, that of mutant strains BY23-HXT1, BY23-ΔGSP2 and BY23-ΔCTT1 increased by 8.19%, 11.60% and 14.00%, respectively. The possible reason why HXT1, GSP2, and CTT1 affect RNA content is by regulating cell fitness. This work was the first to report that regulating the transcription of HXT1, GSP2, and CTT1 could increase the RNA content of S. cerevisiae. This work also provides valuable knowledge on the genetic mechanism of high nucleic acid synthesis in S. cerevisiae and new strategies for increasing its RNA content.

Molecular breeding of Saccharomyces cerevisiae with high RNA content by harnessing essential ribosomal RNA transcription regulator

As yeast is commonly used for RNA production, it is industrially important to breed strains with high RNA contents. The upstream activating factor (UAF) plays an important role in transcription of ribosomal RNA (rRNA), a major constituent of intracellular RNA species. Here, we targeted the essential rRNA transcription regulator Rrn5 of Saccharomyces cerevisiae, a component of the UAF complex, and disrupted the genomic RRN5 gene using a helper plasmid carrying an RRN5 gene. Then we isolated nine suppressor mutants (Sup mutants) of RRN5 gene disruption, causing deficiency in rRNA transcription. The Sup mutants had RNA contents of approximately 40% of the wild type level and expansion of rDNA repeats to ca. 400–700 copies. Reintroduction of a functional RRN5 gene into Sup mutants caused a reduction in the number of rDNA repeats to close to the wild type level but did not change RNA content. However, we found that reintroduction of RRN5 into the Sup16 mutant (in which the FOB1 gene encoding the rDNA replication fork barrier site binding protein was disrupted) resulted in a significant increase (17%) in RNA content compared with wild type, although the rDNA repeat copy number was almost identical to the wild type strain. In this case, upregulated transcription of non-transcribed spacers (NTS) occurred, especially in the NTS2 region; this was likely mediated by RNA polymerase II and accounted for the increased RNA content. Thus, we propose a novel breeding strategy for developing high RNA content yeast by harnessing the essential rRNA transcription regulator.

Identification of highly synchronized subnetworks from gene expression data

Background

There has been a growing interest in identifying context-specific active protein-protein interaction (PPI) subnetworks through integration of PPI and time course gene expression data. However the interaction dynamics during the biological process under study has not been sufficiently considered previously.

Methods

Here we propose a topology-phase locking (TopoPL) based scoring metric for identifying active PPI subnetworks from time series expression data. First the temporal coordination in gene expression changes is evaluated through phase locking analysis; The results are subsequently integrated with PPI to define an activity score for each PPI subnetwork, based on individual member expression, as well topological characteristics of the PPI network and of the expression temporal coordination network; Lastly, the subnetworks with the top scores in the whole PPI network are identified through simulated annealing search.

Results

Application of TopoPL to simulated data and to the yeast cell cycle data showed that it can more sensitively identify biologically meaningful subnetworks than the method that only utilizes the static PPI topology, or the additive scoring method. Using TopoPL we identified a core subnetwork with 49 genes important to yeast cell cycle. Interestingly, this core contains a protein complex known to be related to arrangement of ribosome subunits that exhibit extremely high gene expression synchronization.

Conclusions

Inclusion of interaction dynamics is important to the identification of relevant gene networks.