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Eukaryotic cells are composed of organelles, and each organelle contains proteins that play a role in its function. Therefore, the localization of a protein, especially to organelles, is a clue to infer the function of that protein. In this study, we attempted to identify novel mitochondrially localized proteins in the budding yeast Saccharomyces cerevisiae using a fluorescent protein (GFPdeg) that is rapidly degraded in the cytoplasm. Of the budding yeast proteins predicted to localize to mitochondria by the prediction tool Deeploc-1.0, those with known mitochondrial localization or functional relevance were eliminated, and 95 proteins of unknown function were selected as candidates for analysis. By forced expression of GFPdeg fusion proteins with these proteins and observation of their localization, we identified 35 uncharacterized proteins potentially localized to mitochondria (UPMs) including 8 previously identified proteins that localize to mitochondria. Most of these had no N-terminal mitochondrial localization signal and were evolutionarily young "emerging genes" that exist only in S. cerevisiae. Some of these genes were found to be upregulated during the postdiauxic shift phase when mitochondria are being developed, suggesting that they are actually involved in some mitochondrial function.

The enhanced green fluorescent protein (EGFP) is considered to be a harmless protein because the critical expression level that causes growth defects is higher than that of other proteins. Here, we found that overexpression of EGFP, but not a glycolytic protein Gpm1, triggered the cell elongation phenotype in the budding yeast Saccharomyces cerevisiae. By the morphological analysis of the cell overexpressing fluorescent protein and glycolytic enzyme variants, we revealed that cysteine content was associated with the cell elongation phenotype. The abnormal cell morphology triggered by overexpression of EGFP was also observed in the fission yeast Schizosaccharomyces pombe. Overexpression of cysteine-containing protein was toxic, especially at high-temperature, while the toxicity could be modulated by additional protein characteristics. Investigation of protein aggregate formation, morphological abnormalities in mutants, and transcriptomic changes that occur upon overexpression of EGFP variants suggested that perturbation of the proteasome by the exposed cysteine of the overexpressed protein causes cell elongation. Overexpression of proteins with relatively low folding properties, such as EGFP, was also found to promote the formation of SHOTA (Seventy kDa Heat shock protein-containing, Overexpression-Triggered Aggregates), an intracellular aggregate that incorporates Hsp70/Ssa1, which induces a heat shock response, while it was unrelated to cell elongation. Evolutionary analysis of duplicated genes showed that cysteine toxicity may be an evolutionary bias to exclude cysteine from highly expressed proteins. The overexpression of cysteine-less moxGFP, the least toxic protein revealed in this study, would be a good model system to understand the physiological state of protein burden triggered by ultimate overexpression of harmless proteins.

Extreme overproduction of gratuitous proteins can overload cellular protein production resources, leading to growth defects, a phenomenon known as the protein burden/cost effect. Genetic screening in the budding yeast Saccharomyces cerevisiae has isolated several dubious ORFs whose deletions mitigated the protein burden effect, but individual characterization thereof has yet to be delineated. We found that deletion of the YJL175W ORF yielded an N-terminal deletion of Swi3, a subunit of the SWI/SNF chromatin remodeling complex, and partial loss of function of Swi3. The deletion mutant showed a reduction in transcription of genes encoding highly expressed, secreted proteins and an overall reduction in translation. Mutations in the chromatin remodeling complex could thus mitigate the protein burden effect, likely by reallocating residual cellular resources used to overproduce proteins. This cellular state might also be related to cancer cells, as they frequently harbor mutations in the SWI/SNF complex.

Overproduction (op) of proteins triggers cellular defects. One of the consequences of overproduction is the protein burden/cost, which is produced by an overloading of the protein synthesis process. However, the physiology of cells under a protein burden is not well characterized. We performed genetic profiling of protein burden by systematic analysis of genetic interactions between GFP-op, surveying both deletion and temperature-sensitive mutants in budding yeast. We also performed genetic profiling in cells with overproduction of triple-GFP (tGFP), and the nuclear export signal-containing tGFP (NES-tGFP). The mutants specifically interacted with GFP-op were suggestive of unexpected connections between actin-related processes like polarization and the protein burden, which was supported by morphological analysis. The tGFP-op interactions suggested that this protein probe overloads the proteasome, whereas those that interacted with NES-tGFP involved genes encoding components of the nuclear export process, providing a resource for further analysis of the protein burden and nuclear export overload.

Benzyl isothiocyanate (BITC) is a naturally-occurring isothiocyanate derived from cruciferous vegetables. BITC has been reported to inhibit the proliferation of various cancer cells, which is believed to be important for the inhibition of tumorigenesis. However, the detailed mechanisms of action remain unclear. In this study, we employed a budding yeast Saccharomyces cerevisiae as a model organism for screening. Twelve genes including MTW1 were identified as the overexpression suppressors for the antiproliferative effect of BITC using the genome-wide multi-copy plasmid collection for S. cerevisiae. Overexpression of the kinetochore protein Mtw1 counteracts the antiproliferative effect of BITC in yeast. The inhibitory effect of BITC on the proliferation of human colon cancer HCT-116 cells was consistently suppressed by the overexpression of Mis12, a human orthologue of Mtw1, and enhanced by the knockdown of Mis12. We also found that BITC increased the phosphorylated and ubiquitinated Mis12 level with consequent reduction of Mis12, suggesting that BITC degrades Mis12 through an ubiquitin-proteasome system. Furthermore, cell cycle analysis showed that the change in the Mis12 level affected the cell cycle distribution and the sensitivity to the BITC-induced apoptosis. These results provide evidence that BITC suppresses cell proliferation through the post-transcriptional regulation of the kinetochore protein Mis12.

The yeast S. cerevisiae senses glucose through Snf3 and Rgt2, transmembrane proteins that generate an intracellular signal in response to glucose that leads to inhibition of the Rgt1 transcriptional repressor and consequently to derepression of HXT genes encoding glucose transporters. Snf3 and Rgt2 are thought to be glucose receptors because they are similar to glucose transporters. In contrast to glucose transporters, they have unusually long C-terminal tails that bind to Mth1 and Std1, paralogous proteins that regulate function of the Rgt1 transcription factor. We show that the C-terminal tail of Rgt2 is not responsible for its inability to transport glucose. To gain insight into how the glucose sensors generate an intracellular signal, we identified RGT2 mutations that cause constitutive signal generation. Most of the mutations alter evolutionarily-conserved amino acids in the transmembrane spanning regions of Rgt2 that are predicted to be involved in maintaining an outward-facing conformation or to be in the substrate binding site. Our analysis of these mutations suggests they cause Rgt2 to adopt inward-facing or occluded conformations that generate the glucose signal. These results support the idea that Rgt2 and Snf3 are glucose receptors that signal in response to binding of extracellular glucose and inform the basis of their signaling.

Overexpression experiments are sometimes considered as qualitative experiments designed to identify novel proteins and study their function. However, in order to draw conclusions regarding protein overexpression through association analyses using large-scale biological data sets, we need to recognize the quantitative nature of overexpression experiments. Here I discuss the quantitative features of two different types of overexpression experiment: absolute and relative. I also introduce the four primary mechanisms involved in growth defects caused by protein overexpression: resource overload, stoichiometric imbalance, promiscuous interactions, and pathway modulation associated with the degree of overexpression.

The terminator regions of eukaryotes encode functional elements in the 3' untranslated region (3'-UTR) that influence the 3'-end processing of mRNA, mRNA stability, and translational efficiency, which can modulate protein production. However, the contribution of these terminator regions to gene expression remains unclear, and therefore their utilization in metabolic engineering or synthetic genetic circuits has been limited. Here, we comprehensively evaluated the activity of 5302 terminator regions from a total of 5880 genes in the budding yeast Saccharomyces cerevisiae by inserting each terminator region downstream of the P TDH3 - green fluorescent protein (GFP) reporter gene and measuring the fluorescent intensity of GFP. Terminator region activities relative to that of the PGK1 standard terminator ranged from 0.036 to 2.52, with a mean of 0.87. We thus could isolate the most and least active terminator regions. The activities of the terminator regions showed a positive correlation with mRNA abundance, indicating that the terminator region is a determinant of mRNA abundance. The least active terminator regions tended to encode longer 3'-UTRs, suggesting the existence of active degradation mechanisms for those mRNAs. The terminator regions of ribosomal protein genes tended to be the most active, suggesting the existence of a common regulator of those genes. The ″terminatome″ (the genome-wide set of terminator regions) thus not only provides valuable information to understand the modulatory roles of terminator regions on gene expression but also serves as a useful toolbox for the development of metabolically and genetically engineered yeast.

Glucose is an important source of carbon and energy for many organisms. This is particularly apparent in the budding yeast Saccharomyces cerevisiae, whose sophisticated glucose-sensing and -signaling mechanisms enable it to sense a wide range of glucose concentrations and utilize glucose efficiently (2, 7, 13). One of the first responses of yeast cells to glucose is induction of expression of the HXT genes, encoding glucose transporters (3, 18, 21, 28, 40). This is achieved through a signal transduction pathway that begins at the cell surface with the Snf3 and Rgt2 glucose sensors and ends in the nucleus with the Rgt1 transcription factor, which binds to HXT gene promoters (5, 12, 14, 27, 31). The glucose signal generated by Rgt2 and Snf3 at the cell surface alters Rgt1 function in the nucleus by stimulating degradation of Mth1 and Std1 (4, 23), paralogous proteins that bind to Rgt1 and are necessary for it to repress transcription (20, 30, 32). Mth1 and Std1 also interact with the C-terminal tails of the Rgt2 and Snf3 glucose sensors (19, 32). This places them in proximity to the Yck1 protein kinase, which is associated with the Snf3 and Rgt2 glucose sensors and is thought to catalyze phosphorylation of Mth1 and Std1 when glucose binds to the sensors (23, 37). Phosphorylated Mth1 and Std1 are targets of the SCFGrr1 ubiquitin-protein ligase, which is thought to catalyze their ubiquitination, thereby targeting them for degradation by the 26S proteasome (37). In the absence of Mth1 and Std1, Rgt1 loses its ability to repress transcription, leading to derepression of HXT gene expression (4, 20, 24, 30, 32). While there is ample evidence that glucose induces degradation of Mth1 via the 26S proteasome, conflicting results have been reported for the effect of glucose on Std1 (4, 23, 37). STD1 expression is induced by glucose via the Rgt2/Snf3-Rgt1 signal transduction pathway (15), and our data suggest that Std1 degradation is dampened by this glucose induction of STD1 expression via the Rgt2/Snf3-Rgt1 pathway. By contrast, MTH1 expression is repressed by glucose via the Snf1-Mig1 glucose repression pathway, and our results suggest that this reinforces Mth1 degradation. Thus, opposing transcriptional regulation of MTH1 and STD1 expression provides for rapid induction of HXT gene expression in response to glucose and for prompt establishment of repression of HXT gene expression when the available glucose has been exhausted. Thus, the course of induction and repression of the HXT genes is the result of close collaboration between two different glucose-sensing pathways that helps ensure efficient utilization of this key nutrient.

During the course of systematic nucleotide sequence analysis of the terC region of E.coli K-12 by using the ordered lambda phage clones, we found the presence of a gene, termed hrpA, that showed a high degree of sequence similarity to the PRP2, PRP16 and PRP22 genes of Saccharomyces cerevisiae. The products of these yeast genes are known to play their roles in mRNA splicing, and belong to a group of proteins collectively called the DEAH family. The hrpA gene is the first example of a DEAH family gene in prokaryotes. The N-terminal region of the protein it encodes contains conserved sequence stretches characteristic of an RNA helicase. Its molecular mass is calculated to be 146 kDa. Previously, a 135 kDa protein was identified by Moir et al. [J. Bacteriol. (1992) 174, 2102-2110] in this region which is most likely identical to that encoded by hrpA. The C-terminal region of the hrpA gene product seems to contain an RNA binding motif weakly resembling that of ribosomal protein S1 of E.coli. Disruption of the hrpA gene suggested that it is not essential for the growth of E.coli.

Robustness is one of the principles of design inherent to biological systems. Cellular robustness can be measured as limits of intracellular parameters such as gene expression levels. We have recently developed an experimental approach coined as genetic Tug-Of-War (gTOW), which we used to perform robustness analysis in yeast. Using gTOW, we were able to measure the upper limit of expression of gene targets. In this review, we first elaborate on how the gTOW method compares to current mathematical simulation models prevalently used in the determination of robustness. We then explain the experimental principles underlying gTOW and its associated tools, and we provide concrete examples of robustness analysis using gTOW, i.e. cell cycle and HOG pathway gene expression analysis. Finally, we list a series of Q&As related to the experimental utilization of gTOW and we describe the potential impact of gTOW and its relevance to the understanding of biological systems.

Fungal genome sequencing has revealed many genes coding for biosynthetic enzymes, including polyketide synthases and nonribosomal peptide synthetases. However, characterizing these enzymes and identifying the compounds they synthesize remains a challenge, whether the genes are expressed in their original hosts or in more tractable heterologous hosts, such as yeast. Here, we developed a streamlined method for isolating biosynthetic genes from fungal sources and producing bioactive molecules in an engineered Saccharomyces cerevisiae host strain. We used overlap extension PCR and yeast homologous recombination to clone desired fungal polyketide synthase or a nonribosomal peptide synthetase genes (5-20 kb) into a yeast expression vector quickly and efficiently. This approach was used successfully to clone five polyketide synthases and one nonribosomal peptide synthetase, from various fungal species. Subsequent detailed chemical characterizations of the resulting natural products identified six polyketide and two nonribosomal peptide products, one of which was a new compound. Our system should facilitate investigating uncharacterized fungal biosynthetic genes, identifying novel natural products, and rationally engineering biosynthetic pathways for the production of enzyme analogues possessing modified bioactivity.

BackgroundConstruction of plasmids is crucial in modern genetic manipulation. As of now, the common method for constructing plasmids is to digest specific DNA sequences with restriction enzymes and to ligate the resulting DNA fragments with DNA ligase. Another potent method to construct plasmids, known as gap-repair cloning (GRC), is commonly used in the budding yeast Saccharomyces cerevisiae. GRC makes use of the homologous recombination activity that occurs within the yeast cells. Due to its flexible design and efficiency, GRC has been frequently used for constructing plasmids with complex structures as well as genome-wide plasmid collections. Although there have been reports indicating GRC feasibility in the fission yeast Schizosaccharomyces pombe, this species is not commonly used for GRC as systematic studies of reporting GRC efficiency in S. pombe have not been performed till date.Methodology/principal findingsWe investigated GRC efficiency in S. pombe in this study. We first showed that GRC was feasible in S. pombe by constructing a plasmid that contained the LEU2 auxotrophic marker gene in vivo and showed sufficient efficiency with short homology sequences (>25 bp). No preference was shown for the sequence length from the cut site in the vector plasmid. We next showed that plasmids could be constructed in a proper way using 3 DNA fragments with 70% efficiency without any specific selections being made. The GRC efficiency with 3 DNA fragments was dramatically increased >95% in lig4Delta mutant cell, where non-homologous end joining is deficient. Following this approach, we successfully constructed plasmid vectors with leu1+, ade6+, his5+, and lys1+ markers with the low-copy stable plasmid pDblet as a backbone by applying GRC in S. pombe.Conclusions/significanceWe concluded that GRC was sufficiently feasible in S. pombe for genome-wide gene functional analysis as well as for regular plasmid construction. Plasmids with different markers constructed in this research are available from NBRP-yeast (http://yeast.lab.nig.ac.jp/).

The yeast Saccharomyces cerevisiae senses glucose through two transmembrane glucose sensors, Snf3 and Rgt2. Extracellular glucose causes these sensors to generate an intracellular signal that induces expression of HXT genes encoding glucose transporters by inhibiting the function of Rgt1, a transcriptional repressor of HXT genes. We present the following evidence that suggests that the glucose sensors are coupled to the membrane-associated protein kinase casein kinase I (Yck1). ( i ) Overexpression of Yck1 leads to constitutive HXT1 expression; ( ii ) Yck1 (or its paralogue Yck2) is required for glucose induction of HXT1 expression; ( iii ) Yck1 interacts with the Rgt2 glucose sensor; and ( iv ) attaching the C-terminal cytoplasmic tail of Rgt2 to Yck1 results in a constitutive glucose signal. The likely targets of Yck1 in this signal transduction pathway are Mth1 and Std1, which bind to and regulate function of the Rgt1 transcription factor and bind to the C-terminal cytoplasmic domain of glucose sensors. Potential casein kinase I phosphorylation sites in Mth1 and Std1 are required for normal glucose regulation of HXT1 expression, and Yck1 catalyzes phosphorylation of Mth1 and Std1 in vitro . These results support a model of glucose signaling in which glucose binding to the glucose sensors causes them to activate Yck1 in the cell membrane, which then phosphorylates Mth1 and Std1 bound to the cytoplasmic face of the glucose sensors, triggering their degradation and leading to the derepression of HXT gene expression. Our results add nutrient sensing to the growing list of processes in which casein kinase I is involved.

POP2 protein of Saccharomyces cerevisiae is a component of a protein complex that regulates the transcription of many genes. We found that the 97th threonine residue (Thr 97) of Pop2p was phosphorylated upon glucose limitation. The Thr 97 phosphorylation occurred within 2 min after removing glucose and was reversed within 1 min after the readdition of glucose. The effects of hexokinase mutations and glucose analogs indicate that this phosphorylation is dependent on glucose phosphorylating activity. We purified a protein kinase that phosphorylates a peptide containing Thr 97 of Pop2p and identified it as Yak1p, a DYRK family kinase. Phosphorylation of Pop2p was barely detectable in a yak1Δ strain. We found that Yak1p interacted with Bmh1p and Bmh2p only in the presence of glucose. A GFP-Yak1p fusion protein shuttled rapidly between the nucleus and the cytoplasm in response to glucose. A strain with alanine substituted for Thr 97 in Pop2p showed overgrowth in the postdiauxic transition and failed to stop the cell cycle at G1 phase in response to glucose deprivation. Thus, Yak1p and Pop2p are part of a novel glucose-sensing system in yeast that is involved in growth control in response to glucose availability.

Background Identifying permissible limits of intracellular parameters such as protein expression provides important information for examining robustness. In this study, we used the TEV protease-mediated induction of protein instability (TIPI) in combination with the genetic Tug-of-War (gTOW) to develop a method to measure the lower limit of protein level. We first tested the feasibility of this method using ADE2 as a marker and then analyzed some cell cycle regulators to reveal genetic interactions. Results Using TIPI-gTOW, we successfully constructed a strain in which GFP-TDegFAde2 was expressed at the lower limit, just sufficient to support cellular growth under the -Ade condition by accelerating degradation by TEV protease. We also succeeded in constructing a strain in which the minimal level of GFP-TDegFCdc20 was expressed by TIPI-gTOW. Using this strain, we studied genetic interactions between cell cycle regulators and CDC20, and the result was highly consistent with the previously identified interactions. Comparison of the experimental data with predictions of a mathematical model revealed some interactions that were not implemented into the current model. Conclusions TIPI-gTOW is useful for estimating changes in the lower limit of a protein under different conditions, such as different genetic backgrounds and environments. TIPI-gTOW is also useful for analyzing genetic interactions of essential genes whose deletion mutants cannot be obtained.