Ontology highlight
ABSTRACT:
PROVIDER: PRJNA813024 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR18233575_1.fastq.gz | Fastqsanger.gz | |||
| SRR18233575_2.fastq.gz | Fastqsanger.gz | |||
| SRR18233576_1.fastq.gz | Fastqsanger.gz | |||
| SRR18233576_2.fastq.gz | Fastqsanger.gz |
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Project description:Previous experiments revealed that DHH1, a RNA helicase involved in the regulation of mRNA stability and translation, complemented the phenotype of a Saccharomyces cerevisiae mutant affected in the expression of genes coding for monocarboxylic-acids transporters, JEN1 and ADY2. In wild type cells, JEN1 expression had been shown to be undetectable in the presence of glucose or formic acid, and induced in the presence of lactate. In this work, we show that JEN1 mRNA accumulates in a dhh1 mutant, when formic acid was used as sole carbon source. Dhh1 interacts with the decapping activator Dcp1 and with the deadenylase complex. This led to the hypothesis that JEN1 expression is post-transcriptionally regulated by Dhh1 in formic acid. Analyses of JEN1 mRNAs decay in wild-type and dhh1 mutant strains confirmed this hypothesis. Microarray analyses of dhh1 mutant indicated that Dhh1 plays a large role in metabolic adaptation, suggesting that carbon source changes triggers a complex interplay between transcriptional and post-transcriptional effects.
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Project description:We designed and experimentally validated an in silico gene deletion strategy for engineering endogenous one-carbon (C1) metabolism in yeast. Specifically, a Flux Balance Analysis (FBA) model predicted that five genes ALT2, FDH1, FDH2, FUM1, and ZWF1, when deleted in combination, would cause Saccharomyces cerevisiae to overproduce and secrete formic acid under aerobic growth conditions. Once constructed, the quintuple mutant strain showed the predicted increase in formic acid secretion relative to a formate dehydrogenase mutant (fdh1 fdh2 ), while formic acid secretion in wild-type yeast was undetectable. Gene expression and physiological data generated post hoc identified a mitochondrial deficiency phenotype in the engineered strain and regulatory events that suggest a role for multisite modulation—the coordinated expression of multiple pathway enzymes—in controlling yeast C1 metabolism. Together, these results demonstrate that FBA-based modeling strategies can be useful tools for non-fermentative pathway design and discovery in eukaryotic microbes. In addition, the results indicate that seemingly unrelated mutations can be combined to modulate flux through biochemical reactions that interact at a systems level across subcellular compartments.
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