A subcellular proteome atlas of the yeast Komagataella phaffii.

The compartmentalization of metabolic and regulatory pathways is a common pattern of living organisms. Eukaryotic cells are subdivided into several organelles enclosed by lipid membranes. Organelle proteomes define their functions. Yeasts, as simple eukaryotic single cell organisms, are valuable models for higher eukaryotes and frequently used for biotechnological applications. While the subcellular distribution of proteins is well studied in Saccharomyces cerevisiae, this is not the case for other yeasts like Komagataella phaffii (syn. Pichia pastoris). Different to most well-studied yeasts, K. phaffii can grow on methanol, which provides specific features for production of heterologous proteins and as a model for peroxisome biology. We isolated microsomes, very early Golgi, early Golgi, plasma membrane, vacuole, cytosol, peroxisomes and mitochondria of K. phaffii from glucose- and methanol-grown cultures, quantified their proteomes by liquid chromatography-electrospray ionization-mass spectrometry of either unlabeled or tandem mass tag-labeled samples. Classification of the proteins by their relative enrichment, allowed the separation of enriched proteins from potential contaminants in all cellular compartments except the peroxisomes. We discuss differences to S. cerevisiae, outline organelle specific findings and the major metabolic pathways and provide an interactive map of the subcellular localization of proteins in K. phaffii.

A single Gal4-like transcription factor activates the Crabtree effect in Komagataella phaffii.

The Crabtree phenotype defines whether a yeast can perform simultaneous respiration and fermentation under aerobic conditions at high growth rates. It provides Crabtree positive yeasts an evolutionary advantage of consuming glucose faster and producing ethanol to outcompete other microorganisms in sugar rich environments. While a number of genetic events are associated with the emergence of the Crabtree effect, its evolution remains unresolved. Here we show that overexpression of a single Gal4-like transcription factor is sufficient to convert Crabtree-negative Komagataella phaffii (Pichia pastoris) into a Crabtree positive yeast. Upregulation of the glycolytic genes and a significant increase in glucose uptake rate due to the overexpression of the Gal4-like transcription factor leads to an overflow metabolism, triggering both short-term and long-term Crabtree phenotypes. This indicates that a single genetic perturbation leading to overexpression of one gene may have been sufficient as the first molecular event towards respiro-fermentative metabolism in the course of yeast evolution.

Identification and characterization of the Komagataella phaffii mating pheromone genes.

The methylotrophic yeast Komagataella phaffii (Pichia pastoris) is a haploid yeast that is able to form diploid cells by mating once nitrogen becomes limiting. Activation of the mating response requires the secretion of a- and α-factor pheromones, which bind to G-protein coupled receptors on cells of opposite mating type. In K. phaffii, the genes coding for the α-factor (MFα), the pheromone surface receptors and the conserved a-factor biogenesis pathway have been annotated previously. Initial homology-based search failed to identify potential a-factor genes (MFA). By using transcriptome data of heterothallic strains under mating conditions, we found two K. phaffiia-factor genes. Deletion of both MFA genes prevented mating of a-type cells. MFA single mutants were still able to mate and activate the mating response pathway in α-type cells. A reporter assay was used to confirm the biological activity of synthetic a- and α-factor peptides. The identification of the a-factor genes enabled the first characterization of the role and regulation of the mating pheromone genes and the response of K. phaffii to synthetic pheromones and will help to gain a better understanding of the mating behavior of K. phaffii.

Curation of the genome annotation of Pichia pastoris (Komagataella phaffii) CBS7435 from gene level to protein function.

As manually curated and non-automated BLAST analysis of the published Pichia pastoris genome sequences revealed many differences between the gene annotations of the strains GS115 and CBS7435, RNA-Seq analysis, supported by proteomics, was performed to improve the genome annotation. Detailed analysis of sequence alignment and protein domain predictions were made to extend the functional genome annotation to all P. pastoris sequences. This allowed the identification of 492 new ORFs, 4916 hypothetical UTRs and the correction of 341 incorrect ORF predictions, which were mainly due to the presence of upstream ATG or erroneous intron predictions. Moreover, 175 previously erroneously annotated ORFs need to be removed from the annotation. In total, we have annotated 5325 ORFs. Regarding the functionality of those genes, we improved all gene and protein descriptions. Thereby, the percentage of ORFs with functional annotation was increased from 48% to 73%. Furthermore, we defined functional groups, covering 25 biological cellular processes of interest, by grouping all genes that are part of the defined process. All data are presented in the newly launched genome browser and database available at www.pichiagenome.org In summary, we present a wide spectrum of curation of the P. pastoris genome annotation from gene level to protein function.

Identification of microRNAs specific for high producer CHO cell lines using steady-state cultivation.

MicroRNAs are short non-coding RNAs that play an important role in the regulation of gene expression. Hence, microRNAs are considered as potential targets for engineering of Chinese hamster ovary (CHO) cells to improve recombinant protein production. Here, we analyzed and compared the microRNA expression patterns of high, low, and non-producing recombinant CHO cell lines expressing two structurally different model proteins in order to identify microRNAs that are involved in heterologous protein synthesis and secretion and thus might be promising targets for cell engineering to increase productivity. To generate reproducible and comparable data, the cells were cultivated in a bioreactor under steady-state conditions. Global microRNA expression analysis showed that mature microRNAs were predominantly upregulated in the producing cell lines compared to the non-producer. Several microRNAs were significantly differentially expressed between high and low producers, but none of them commonly for both model proteins. The identification of target messenger RNAs (mRNAs) is essential to understand the biological function of microRNAs. Therefore, we negatively correlated microRNA and global mRNA expression data and combined them with computationally predicted and experimentally validated targets. However, statistical analysis of the identified microRNA-mRNA interactions indicated a considerable false positive rate. Our results and the comparison to published data suggest that the reaction of CHO cells to the heterologous protein expression is strongly product- and/or clone-specific. In addition, this study highlights the urgent need for reliable CHO-specific microRNA target prediction tools and experimentally validated target databases in order to facilitate functional analysis of high-throughput microRNA expression data in CHO cells.