- Open Access
Genome, secretome and glucose transport highlight unique features of the protein production host Pichia pastoris
© Mattanovich et al; licensee BioMed Central Ltd. 2009
Received: 13 May 2009
Accepted: 02 June 2009
Published: 02 June 2009
Pichia pastoris is widely used as a production platform for heterologous proteins and model organism for organelle proliferation. Without a published genome sequence available, strain and process development relied mainly on analogies to other, well studied yeasts like Saccharomyces cerevisiae.
To investigate specific features of growth and protein secretion, we have sequenced the 9.4 Mb genome of the type strain DSMZ 70382 and analyzed the secretome and the sugar transporters. The computationally predicted secretome consists of 88 ORFs. When grown on glucose, only 20 proteins were actually secreted at detectable levels. These data highlight one major feature of P. pastoris, namely the low contamination of heterologous proteins with host cell protein, when applying glucose based expression systems. Putative sugar transporters were identified and compared to those of related yeast species. The genome comprises 2 homologs to S. cerevisiae low affinity transporters and 2 to high affinity transporters of other Crabtree negative yeasts. Contrary to other yeasts, P. pastoris possesses 4 H+/glycerol transporters.
This work highlights significant advantages of using the P. pastoris system with glucose based expression and fermentation strategies. As only few proteins and no proteases are actually secreted on glucose, it becomes evident that cell lysis is the relevant cause of proteolytic degradation of secreted proteins. The endowment with hexose transporters, dominantly of the high affinity type, limits glucose uptake rates and thus overflow metabolism as observed in S. cerevisiae. The presence of 4 genes for glycerol transporters explains the high specific growth rates on this substrate and underlines the suitability of a glycerol/glucose based fermentation strategy. Furthermore, we present an open access web based genome browser http://www.pichiagenome.org.
Yeasts have attracted renewed interest in the last few decades as production hosts for biopharmaceutical proteins as well as for bulk chemicals. The methylotrophic yeast Pichia pastoris (Guillermond) Phaff (1956) is well reputed for efficient secretion of heterologous proteins , and has come into focus for metabolic engineering applications recently. Especially reengineering of the N-glycosylation pathway has enabled the production of heterologous proteins with human-like N-glycan structures [2–4]. While protein production is the major application of P. pastoris, production of metabolites has come into research focus recently too [5, 6]. Apart from these biotechnological applications, it is widely used as a model for peroxisome  and secretory organelle research . P. pastoris has recently been reclassified into a new genus, Komagataella , and split into three species, K. pastoris, K. phaffii, and K. pseudopastoris . Strains used for biotechnological applications belong to two proposed species, K. pastoris and K. phaffii. The strains GS115 and X-33 are K. phaffii, while the SMD series of protease deficient strains (most popular SMD1168) is classified into the type species, K. pastoris. Apart from these strains which have been made available by Invitrogen, research labs and industry use different other strains belonging to either of these two species, and no trend towards a superior expression level of one of the two species has been observed. In order to provide a common information basis across the different strains, we have performed this work with the type strain (DSMZ 70382) of the type species K. pastoris, which is the reference strain for all the available P. pastoris strains. In coherence with the published literature, we name all strains P. pastoris, which thus stands for the entire genus Komagataella. As other strains, DSMZ 70382 was isolated from tree exudate, in this case from the chestnut tree.
The majority of P. pastoris processes described so far utilize methanol as substrate and inducer for heterologous protein production. While tight gene regulation and high product titers can be achieved with this strategy, the disadvantages as large scale use of a flammable substrate, high heat production and oxygen consumption, and significant cell lysis have been reported. Apart from technological challenges in large scale fermentation, this leads to significant contamination of culture supernatants with intracellular proteins including proteases . P. pastoris has been described to secrete some heterologous proteins like human serum albumin  or as recently reported glycoengineered antibodies  in the g L-1 range, while naturally secreted proteins account only for low amounts , which supports the easy production of highly pure proteins. However, several secreted P. pastoris proteins are observed as contaminants in culture supernatants, requiring elaborate product purification and analytical effort. A detailed characterization of the secretome would significantly improve production and quality control of biopharmaceuticals produced with this expression system. The secretomes of few yeasts and filamentous fungi have been analyzed experimentally. Computational analyses of yeast genomes predicted approximately 200 potentially secreted proteins [15, 16]. Secretomes of filamentous fungi contain numerous enzymes for degradation of starch, cellulose, lignin and similar plant polymers [17–19]. However, these predictions suffer from some limitations. As certain targeting sequences are not recognized, the predictions may contain proteins which are retained in cellular organelles. Most cell wall associated proteins can be predicted, but due to the fluctuating nature of the cell wall during growth and budding a fraction of these may be released from the cell wall structure and add to the secretome. Finally the actual composition of the secretome will depend on growth conditions and the actual expression of the genes encoding potentially secreted proteins. Therefore the extracellular proteome of P. pastoris was analyzed here and compared to the predicted secretome.
Substrate uptake kinetics determine growth kinetics and the characteristics of biotechnological processes. P. pastoris is described as a Crabtree-negative yeast, featuring respiratory metabolism under glucose surplus . A major reason for the easy growth to high biomass concentrations is assumed in the endowment with hexose transporters and their features. We report here the determination and analysis of the P. pastoris draft genome sequence and its application in correlating in silico and mass spectrometric analysis of the extracellular proteome. Furthermore, a comparative analysis of hexose transporters allows drawing conclusions towards glucose uptake kinetics, a major determinant of growth and bioprocess characteristics in relation to substrate supply. Additionally, a web based database with search functions and annotation data for analysis of the genome sequence is reported.
Genome statistics overview
Total DNA bases after Roche GS FLX
Average coverage Roche GS FLX
Total DNA bases after Illumina GA
Average coverage Illumina GA
Number of reads Roche FLX
Number of reads Illumina GA
Number of contigs
Contigs > 1 kbp
Average contig size
Gene Prediction Data:
Manually curated number of ORFs
Thereof ORFs with introns
ORFs with annotation
GC content coding regions
RNA Prediction Data:
rRNA cluster (18S, 26S, 5.8S rRNA)
We initially predicted 7,935 open reading frames using two different gene finders. Manual curation reduced this number to 5,450 ORFs. The eukaryotic gene finder Augustus has been pre-trained on a number of datasets including various yeast species. Of these, Candida guilliermondii, Debariomyces hansenii and Pichia stipitis were selected for their relatively close relation to P. pastoris (based on sequence similarity), and Saccharomyces cerevisiae as a reference yeast species with the best sequence annotation. In addition the prokaryotic gene finder Glimmer3 was applied since many eukaryotic gene finders overpredict intron containing genes. As yeast genomes are generally compact a large amount of intron containing genes was not expected. All putative ORFs < 100 nts or comprising a starting codon other than ATG were excluded from the set except for genes on contig borders. 194 of the predicted genes are truncated because they crossed contig borders. Ribosomal RNAs were annotated by homology to S. cerevisiae rRNAs. Contrary to S. cerevisiae, the 5S rRNA is not part of the cluster containing 18S, 26S and 5.8S rRNA but spread across the genome. 149 transfer RNAs were identified using tRNA Scan, which is lower than the average number of tRNAs identified in other yeasts (216 on average).
To validate the secretome prediction pipeline (see Materials and Methods) used for P. pastoris, it was applied to the S. cerevisiae proteome beforehand. The majority of proteins which were described to be extracellular in the Saccharomyces genome database SGD  were found in the secreted dataset, for the rest a GPI-anchor signal was predicted. Due to the good performance of the prediction pipeline with S. cerevisiae and the successful application of similar methods for K. lactis  and C. albicans  respectively, a high accuracy for the secretome predictions was expected for P. pastoris as well. The predicted secretome of P. pastoris comprises 88 putative proteins of which 55 could be functionally annotated. Additionally, 172 ORFs were predicted to encode proteins entering the general secretion pathway but being localized in different cellular compartments (for the complete list see additional file 1). Obviously the secretome prediction cannot easily discriminate between ER/Golgi localized and secreted proteins, as the chaperone Kar2 and protein disulfide isomerise (Pdi1) appear among the predictions. Therefore the experimental determination of the extracellular proteins is essential for an assessment.
Secreted proteins of P. pastoris
theoretical pI/MW [kDa]
Predicted N-glycosylation sites
Covalently-bound cell wall protein of unknown function
hypothetical fungal hexokinase
Cell wall protein related to glucanases
Cell wall protein related to glucanases
O-glycosylated protein required for cell wall stability
SCP-domain family protein, unknown function, extracellular
60S ribosomal protein L18A
potential cell wall glucanase
no similarity found
no clear SP
glucan 1,3-beta-glucosidase similar to S. cerevisiae EXG1 (YLR300W)
aldehyde dehydrogenase, Adh2p [S. cerevisiae]
endo-1,3-beta-glucanase [P. stipitis CBS 6054], Dse4p [S. cerevisiae]
Cell wall protein with similarity to glucanases
no similarity found
no SP, 2 TM
YLR286Cp-like protein [S. cerevisiae], endochitinase
no clear SP
Chitin deacetylase, Cda2p [S. cerevisiae]
secreted, lower probability
Fourteen putative sugar transporters all belonging to the major facilitator superfamily (MFS) were identified by sequence similarity. All P. pastoris sugar transporters feature the classical 12 transmembrane domains, and contain the PESP motif and at least one of the two sugar transporter signature sequences. Contrary to S. cerevisiae, which comprises 20 isogenes for low and high affinity hexose transport, only two putative transporters with sequence similarity to S. cerevisiae transporters are present in the P. pastoris genome. While PIPA00236 possesses more than 60% identity to S. cerevisiae HXT-family proteins, and the low-affinity transporters of Kluyveromyces lactis Rag1  and Hansenula polymorpha Hxt1  on the amino acid level, PIPA08653 shows only low similarity (max. 37% identity/58% positives) to these proteins as well as to other P. pastoris sugar transporters. Although all 5 conserved amino acids that have been postulated to be required for high affinity transporters in S. cerevisiae Hxt2  are present also in the respective translated protein sequence of P. pastoris gene PIPA00236, disruption of the gene led to impaired growth on high concentrations of glucose (2%). Disruption of PIPA08653 did not show a distinct growth phenotype. This indicates that PIPA00236 encodes the major low affinity glucose transporter in P. pastoris.
Database, genome browser
To make the genomic data accessible it was loaded into a relational database. For visualization a genome browser was installed on a web server and connected to the database.
The draft genome sequence data are deposited at EMBL- EBI, accession number CABH01000001 – CABH01000326.
The predicted size of the haploid genome of P. pastoris  was confirmed here to comprise 9.4 Mb, which is smaller than the genomes of other yeasts, spanning from 10–20 Mb . Nevertheless the number of functionally annotated genes is comparable to other yeasts, which can be attributed to the fact that P. pastoris contains fewer genome redundancies compared e.g. to S. cerevisiae and D. hansenii, which have undergone genome duplications followed by partial genome losses during evolution . While P. pastoris contains specific subclasses of genes for methanol metabolism and peroxisome synthesis, structure and degradation which are present only in methylotrophic yeasts, most metabolic enzymes are present only in single copies, and the number of secreted proteins is low. To verify the quality of gene prediction, all 173 P. pastoris genes and 245 proteins currently deposited in NCBI were BLAST searched among the predicted gene list. All of the P. pastoris specific genes were present, indicating a high quality of gene prediction.
The secretomes of K. lactis and C. albicans have been predicted computationally [15, 16], yielding 178 ORFs of K. lactis and 283 of C. albicans. The C. albicans secretome apparently is more complex and contains numerous lipases, proteases and agglutinin-like proteins, while both for K. lactis and P. pastoris only few enzymes apart from glucanases and chitin modifying enzymes appear. As P. pastoris utilizes only few carbon sources  it appears obvious that neither proteolytic, lipolytic or saccharolytic activities are secreted for substrate utilization. Yeast glucanases and chitinases are required for cell wall plasticity during cell growth and division . While these enzymes are commonly regarded to be cell wall associated, it is plausible that they reach the culture supernatant during cell wall remodelling, indicating that a distinct border cannot be drawn between cell wall and the exterior space.
The low concentration, together with the small number of actually secreted proteins from P. pastoris highlights a major advantage of this protein production system, as secreted products are much less contaminated with host cell protein. Jahic et al.  have shown that host cell protein released from P. pastoris grown on methanol mainly derives from cell lysis, which occurs to a much lower extent upon growth on glucose. Combined with the fact that strong promoters for use on glucose are available [34, 35], these data provide convincing arguments for a reconsideration of methanol based protein production with P. pastoris. The toxicity of methanol and several of its metabolites is the main reason for cell lysis and consequently also protease leakage to the culture supernatant. Additionally other host cell proteins are released, leading to significant contamination of protein products. A common approach to reduce product proteolysis is the knock out of protease genes. However, multiple protease knockout strains tend to be growth retarded, so that it appears reasonable to employ a production strategy based on glucose media which avoids the detrimental effects of methanol at all. Detailed knowledge of the secreted host cell proteins, as presented here, can have a strong positive effect on product purification and quality control, as specific assays can be developed. Additionally a knock out of major secreted proteins can reduce the host cell protein load significantly .
Substrate uptake kinetics determines growth kinetics and the characteristics of biotechnological processes. The fermentative (Crabtree-positive) yeast S. cerevisiae consumes glucose at high rates when supplied with high concentrations. This exceptionally high glucose uptake rate is attributed to high abundance of hexose transporters, encoded by more than 10 isogenes . Respiratory (Crabtree-negative) yeasts limit glucose uptake, as they contain few hexose transporter genes, encoding energy dependent symporters with high affinity to glucose . The endowment of P. pastoris with hexose transporters is in good accordance to other respiratory yeasts such as K. lactis, H. polymorpha and P. stipitis, all having a reduced number of hexose transporters in comparison to S. cerevisiae. Moreover, Crabtree-negative yeasts usually exhibit Km values in the micromolar range for glucose , due to their very high-affinity transporters such as K. lactis Hgt1, which is an ortholog of P. pastoris PIPA02561 and PIPA00372. While Km values for P. pastoris specific transporters remain to be determined in future, conclusions to glucose uptake behavior can be drawn. Accordingly, specific glucose uptake rate is limited to qSmax = 0.35 g g-1 YDM h-1 (at growth rates near μmax = 0.193 h-1) in P. pastoris chemostat cultivations , in comparison to qSmax = 2.88 g g-1 YDM h-1 in fully aerobic S. cerevisiae . The limited glucose uptake prevents Crabtree-negative yeasts such as P. pastoris from extensive overflow metabolism, which leads to the aerobic formation of ethanol and a reduced biomass yield at high external glucose concentrations in S. cerevisiae. This difference is also reflected in the very high biomass concentrations (more than 100 g l-1) that can be achieved in P. pastoris cultivations. For heterologous protein production, aerobic ethanol formation is a substantial problem, because it lowers the yield of the desired product due to a lower biomass concentration.
Interestingly, P. pastoris contains four genes encoding putative H+/glycerol symporters, contrary to all other sequenced yeasts up-to-date. Consequently, the maximum glycerol uptake rate of P. pastoris is qGlycerol_max = 0.37 g g-1 YDM h-1. This is substantially higher than the uptake rates reported for S. cerevisiae (qGlycerol_max = 0.046 g g-1 YDM h-1) and many other yeast species . The ability to grow on glycerol as a single carbon and energy source – a mode of cultivation widely applied for generation of biomass with P. pastoris prior to methanol induction or glucose fed batch – is dependent on the activity of a constitutive salt-independent active glycerol transport by the H+/glycerol symport and has also been reported for Pichia sorbitophila and Pichia jadinii . Specific growth rates of these yeasts on glycerol are similar to the specific growth rates that can be obtained on glucose (e.g. for P. pastoris on mineral media μGlycerol_max = 0.26 h-1, μGlucose_max = 0.19 h-1), whereas yeasts lacking the activity of such a type of carrier have significantly reduced growth rates on glycerol. The high specific glycerol uptake rate, enabled by the exceptional endowment with specific transporters emphasizes the suitability of glycerol as a substrate for biomass growth.
The availability of genome data has become an essential tool for cell and metabolic engineering of biotechnological production organisms. This work highlights major advantages of P. pastoris as a protein production platform and the benefits of glycerol/glucose based production technology. Apart from lower heat production and oxygen demand compared to methanol based processes, glucose grown cultures display higher viability and essentially no protease release to the culture supernatant. Furthermore detailed insights into the sugar transport will enable rational modulation of substrate fluxes, especially for efficient metabolite production.
Material and methods
The P. pastoris type strain (DSMZ 70382 = CBS704) was selected as the source of genomic DNA, and used for all experimental work. Genomic DNA was prepared as described in Hohenblum et al. using the Qiagen Genomic G-20 kit .
Genomic DNA was sequenced by GATC Biotech AG, Konstanz (Germany) with a Roche GS FLX-Titanium Series complemented by an Illumina Genome Analyzer paired end run. The reads were assembled with SeqMan NGen by DNASTAR. To verify the sequencing quality all P. pastoris gene and protein sequences available at NCBI were downloaded and the sequences were compared using BLAST searches.
Gene prediction and annotation
Gene prediction was performed with the eukaryotic gene finder Augustus  using the option for overlapping genes as well as the prokaryotic gene finder Glimmer3 . Predicted open reading frames were kept if they were longer than 100 nucleotides and started with ATG, except for genes predicted on contig boarders. The ORF sets were merged and made non redundant using the clustering program cd-hit-est  with a similarity cut-off of 95%.
Annotation was done by a reciprocal protein BLAST against a dataset consisting of the publicly available Saccharomycotina species and the UNIPROT protein database with an E-value threshold of 10-10. All P. pastoris proteins and genes available at NCBI, all proteins that were predicted to be secreted and all sugar transporters were manually curated. Gene Ontology annotation was done for all proteins with a homolog in S. cerevisiae.
Ribosomal RNA annotation was done through homology with S. cerevisiae using nucleotide BLAST against the P. pastoris contigs, and the results were manually analyzed. tRNAs were localized using the program tRNAscan-SE . Gene predictions were manually curated using BLASTx.
In silico secretome prediction
A similar method was used as described to predict the secretomes of K. lactis  and C. albicans , respectively. The prediction pipeline included SignalP 3.0 [47, 48] to identify the N-terminal signal peptide, Phobius  to predict the transmembrane topology, GPI-SOM  and the fungal version of big-PI  for GPI anchor prediction, TargetP  to exclude all proteins with predicted mitochondrial localization. Additionally WoLF PSORT  was used for general localization prediction.
Proteins were considered to be secreted when an N-terminal signal peptide existed but neither a transmembrane domain (except one within the first 40 residues), nor a GPI-anchor, nor any localization signal to other organelles were identified.
The prediction pipeline was tested on an S. cerevisiae dataset of 5,884 proteins which was downloaded from the Saccharomyces Genome Database SGD .
Experimental secretome analysis
P. pastoris DSMZ 70382 was grown in fully aerobic chemostat cultures on minimal medium with glucose as carbon source until steady state (biomass yield and RQ constant for at least 2 residence times). Detailed data on media compositions, fermentation data and the analysis of culture supernatant can be found in additional file 3. Culture supernatants were concentrated by acetone precipitation and subjected to 1D SDS-PAGE on a 12% PAA gel and 2D-DIGE, respectively. For 2D-DIGE supernatant protein was Cy5 labelled and separated on a IPGDryStrip (3-11NL) in the first dimension, followed by SDS-PAGE on a 12% PAA gel as described in Dragosits et al. . 1D gel lanes were cut into 21 slices, and protein spots from CBB stained 2D gels were picked. After tryptic digest, samples were analyzed by reversed-phase chromatography (UltiMate 3000 Capillary LC-system, Dionex) coupled with ESI MS/MS analysis (Q-TOF Ultima Global, Waters). The obtained mass spectra were subsequently analysed using X!Tandem 2008.12.01 . The identified proteins had to meet the following criteria: protein score e-value ≤ 10-5 with at least 2 peptides per protein. Glycoproteins were detected by SDS-PAGE and blotting of proteins onto a nitrocellulose membrane followed by detection via Concanavalin A and Horseradish peroxidase. Putative N-glycosylation sites were identified with NetNGlyc 1.0 server .
Analysis of hexose transporters
P. pastoris ORFs encoding putative sugar transporters were identified by sequence similarity using BLAST. Multiple sequence alignment of the respective protein sequences to previously identified hexose transporters and sensors from other yeasts was performed by ClustalW  using BLOSUM weight matrix, and a dendrogram with branch length was generated. Additionally an integrated search in PROSITE , Pfam, PRINTS and other family and domain databases was performed with InterProScan  for all these protein sequences.
Disruption cassettes for PIPA00236 and PIPA08653 were generated by PCR (primers: PIPA08653FW: ATGGCAGGTATTAAAGTTGGATC; PIPA08653BW: TACTGCCATCTGCTTCTTTC; PIPA00236FW: GCAGGAGAATAGTCCAGTTTAC; PIPA00236BW: TTCATAGCCTCGTCGACTCTG). 200–300 bp each up- and downstream of the start codon were exchanged for the Zeocin resistance cassette. These cassettes were introduced into the genome of P. pastoris DSMZ 70382 by electroporation, and clones were selected on YP plates containing 1% yeast extract, 2% peptone, 2% agar-agar, 2% glycerol and 25 μg mL-1 Zeocin. Positively growing clones were then analyzed for their growth behavior on YP plates containing either 2% glycerol, 2% glucose or 0.01% glucose for 48 h at 28°C.
The gene predictions were parsed into GFF file format and loaded into a Chado  database which is designed especially to hold a wide variety of biological data.
Gbrowse , the Generic Genome Browser, was installed on a web server in the latest stable version (1.69) and configured to display the genomic data from the Chado database.
This work has been supported by the European Science Foundation (ESF, program EuroSCOPE), the Austrian Science Fund (FWF), project no. I37, and the Austrian Resarch Promotion Agency (Program FHplus). Special thanks to Harald Pichler (TU Graz) for critically reviewing the manuscript.
During revision of this manuscript, De Schutter et al. have published the genome sequence of K. phaffii (P. pastoris) strain GS115 (Nat. Biotechnol. doi:10.1038/nbt.1544).
- Cereghino G, Cereghino J, Ilgen C, Cregg J: Production of recombinant proteins in fermenter cultures of the yeast Pichia pastoris. Curr Opin Biotechnol. 2002, 13 (4): 329-332. 10.1016/S0958-1669(02)00330-0.View ArticleGoogle Scholar
- Hamilton S, Davidson R, Sethuraman N, Nett J, Jiang Y, Rios S, Bobrowicz P, Stadheim T, Li H, Choi B, et al: Humanization of yeast to produce complex terminally sialylated glycoproteins. Science. 2006, 313 (5792): 1441-1443. 10.1126/science.1130256.View ArticleGoogle Scholar
- Hamilton S, Gerngross T: Glycosylation engineering in yeast: the advent of fully humanized yeast. Curr Opin Biotechnol. 2007, 18 (5): 387-392. 10.1016/j.copbio.2007.09.001.View ArticleGoogle Scholar
- Jacobs P, Geysens S, Vervecken W, Contreras R, Callewaert N: Engineering complex-type N-glycosylation in Pichia pastoris using GlycoSwitch technology. Nat Protoc. 2009, 4 (1): 58-70. 10.1038/nprot.2008.213.View ArticleGoogle Scholar
- Marx H, Mattanovich D, Sauer M: Overexpression of the riboflavin biosynthetic pathway in Pichia pastoris. Microb Cell Fact. 2008, 7: 23- 10.1186/1475-2859-7-23.View ArticleGoogle Scholar
- He J, Deng J, Zheng Y, Gu J: A synergistic effect on the production of S-adenosyl-L-methionine in Pichia pastoris by knocking in of S-adenosyl-L-methionine synthase and knocking out of cystathionine-beta synthase. J Biotechnol. 2006, 126 (4): 519-527. 10.1016/j.jbiotec.2006.05.009.View ArticleGoogle Scholar
- Dunn WJ, Cregg J, Kiel J, Klei van der I, Oku M, Sakai Y, Sibirny A, Stasyk O, Veenhuis M: Pexophagy: the selective autophagy of peroxisomes. Autophagy. 2005, 1 (2): 75-83.View ArticleGoogle Scholar
- Payne W, Kaiser C, Bevis B, Soderholm J, Fu D, Sears I, Glick B: Isolation of Pichia pastoris genes involved in ER-to-Golgi transport. Yeast. 2000, 16 (11): 979-993. 10.1002/1097-0061(200008)16:11<979::AID-YEA594>3.0.CO;2-C.View ArticleGoogle Scholar
- Yamada Y, Matsuda M, Maeda K, Mikata K: The phylogenetic relationships of methanol-assimilating yeasts based on the partial sequences of 18S and 26S ribosomal RNAs: the proposal of Komagataella gen. nov. (Saccharomycetaceae). Biosci Biotechnol Biochem. 1995, 59 (3): 439-444.View ArticleGoogle Scholar
- Kurtzman C: Description of Komagataella phaffii sp. nov. and the transfer of Pichia pseudopastoris to the methylotrophic yeast genus Komagataella. Int J Syst Evol Microbiol. 2005, 55 (Pt 2): 973-976. 10.1099/ijs.0.63491-0.View ArticleGoogle Scholar
- Curvers S, Brixius P, Klauser T, Thömmes J, Weuster-Botz D, Takors R, Wandrey C: Human chymotrypsinogen B production with Pichia pastoris by integrated development of fermentation and downstream processing. Part 1. Fermentation. Biotechnol Prog. 17 (3): 495-502.View ArticleGoogle Scholar
- Kobayashi K, Kuwae S, Ohya T, Ohda T, Ohyama M, Ohi H, Tomomitsu K, Ohmura T: High-level expression of recombinant human serum albumin from the methylotrophic yeast Pichia pastoris with minimal protease production and activation. J Biosci Bioeng. 2000, 89 (1): 55-61. 10.1016/S1389-1723(00)88050-0.View ArticleGoogle Scholar
- Potgieter T, Cukan M, Drummond J, Houston-Cummings N, Jiang Y, Li F, Lynaugh H, Mallem M, McKelvey T, Mitchell T, et al: Production of monoclonal antibodies by glycoengineered Pichia pastoris. J Biotechnol. 2009, 139 (4): 318-325. 10.1016/j.jbiotec.2008.12.015.View ArticleGoogle Scholar
- Macauley-Patrick S, Fazenda ML, McNeil B, Harvey LM: Heterologous protein production using the Pichia pastoris expression system. Yeast. 2005, 22 (4): 249-270. 10.1002/yea.1208.View ArticleGoogle Scholar
- Swaim C, Anton B, Sharma S, Taron C, Benner J: Physical and computational analysis of the yeast Kluyveromyces lactis secreted proteome. Proteomics. 2008, 8 (13): 2714-2723. 10.1002/pmic.200700764.View ArticleGoogle Scholar
- Lee S, Wormsley S, Kamoun S, Lee A, Joiner K, Wong B: An analysis of the Candida albicans genome database for soluble secreted proteins using computer-based prediction algorithms. Yeast. 2003, 20 (7): 595-610. 10.1002/yea.988.View ArticleGoogle Scholar
- Martinez D, Berka R, Henrissat B, Saloheimo M, Arvas M, Baker S, Chapman J, Chertkov O, Coutinho P, Cullen D, et al: Genome sequencing and analysis of the biomass-degrading fungus Trichoderma reesei (syn. Hypocrea jecorina). Nat Biotechnol. 2008, 26 (5): 553-560. 10.1038/nbt1403.View ArticleGoogle Scholar
- Ravalason H, Jan G, Mollé D, Pasco M, Coutinho P, Lapierre C, Pollet B, Bertaud F, Petit-Conil M, Grisel S, et al: Secretome analysis of Phanerochaete chrysosporium strain CIRM-BRFM41 grown on softwood. Appl Microbiol Biotechnol. 2008, 80 (4): 719-733. 10.1007/s00253-008-1596-x.View ArticleGoogle Scholar
- Oda K, Kakizono D, Yamada O, Iefuji H, Akita O, Iwashita K: Proteomic analysis of extracellular proteins from Aspergillus oryzae grown under submerged and solid-state culture conditions. Appl Environ Microbiol. 2006, 72 (5): 3448-3457. 10.1128/AEM.72.5.3448-3457.2006.View ArticleGoogle Scholar
- Porro D, Sauer M, Branduardi P, Mattanovich D: Recombinant protein production in yeasts. Mol Biotechnol. 2005, 31 (3): 245-259. 10.1385/MB:31:3:245.View ArticleGoogle Scholar
- Altschul S, Gish W, Miller W, Myers E, Lipman D: Basic local alignment search tool. J Mol Biol. 1990, 215 (3): 403-410.View ArticleGoogle Scholar
- Saccharomyces Genome Database. http://www.yeastgenome.org
- Delgado M, O'Connor J, Azorín I, Renau-Piqueras J, Gil M, Gozalbo D: The glyceraldehyde-3-phosphate dehydrogenase polypeptides encoded by the Saccharomyces cerevisiae TDH1, TDH2 and TDH3 genes are also cell wall proteins. Microbiology. 2001, 147 (Pt 2): 411-417.View ArticleGoogle Scholar
- Dragosits M, Stadlmann J, Albiol J, Baumann K, Maurer M, Gasser B, Sauer M, Altmann F, Ferrer P, Mattanovich D: The Effect of Temperature on the Proteome of Recombinant Pichia pastoris. J Proteome Res. 2009Google Scholar
- Wesolowski-Louvel M, Goffrini P, Ferrero I, Fukuhara H: Glucose transport in the yeast Kluyveromyces lactis. I. Properties of an inducible low-affinity glucose transporter gene. Mol Gen Genet. 1992, 233: 1-2. 10.1007/BF00587565.View ArticleGoogle Scholar
- Stasyk OG, Maidan MM, Stasyk OV, Van Dijck P, Thevelein JM, Sibirny AA: Identification of hexose transporter-like sensor HXS1 and functional hexose transporter HXT1 in the methylotrophic yeast Hansenula polymorpha. Eukaryot Cell. 2008, 7 (4): 735-746. 10.1128/EC.00028-08.View ArticleGoogle Scholar
- Kasahara T, Maeda M, Ishiguro M, Kasahara M: Identification by comprehensive chimeric analysis of a key residue responsible for high affinity glucose transport by yeast HXT2. J Biol Chem. 2007, 282 (18): 13146-13150. 10.1074/jbc.C700041200.View ArticleGoogle Scholar
- Barnett JA, Payne RW, Yarrow D: Yeasts: Characteristics and Identification. 2000, 3: Cambridge, UK: Cambridge University Press, 3Google Scholar
- Pichia pastoris genome browser. http://www.pichiagenome.org
- Ohi H, Okazaki N, Uno S, Miura M, Hiramatsu R: Chromosomal DNA patterns and gene stability of Pichia pastoris. Yeast. 1998, 14 (10): 895-903. 10.1002/(SICI)1097-0061(199807)14:10<895::AID-YEA288>3.0.CO;2-9.View ArticleGoogle Scholar
- Jeffries T, Grigoriev I, Grimwood J, Laplaza J, Aerts A, Salamov A, Schmutz J, Lindquist E, Dehal P, Shapiro H, et al: Genome sequence of the lignocellulose-bioconverting and xylose-fermenting yeast Pichia stipitis. Nat Biotechnol. 2007, 25 (3): 319-326. 10.1038/nbt1290.View ArticleGoogle Scholar
- Dujon B, Sherman D, Fischer G, Durrens P, Casaregola S, Lafontaine I, De Montigny J, Marck C, Neuvéglise C, Talla E, et al: Genome evolution in yeasts. Nature. 2004, 430 (6995): 35-44. 10.1038/nature02579.View ArticleGoogle Scholar
- Adams DJ: Fungal cell wall chitinases and glucanases. Microbiology. 2004, 150 (Pt 7): 2029-2035. 10.1099/mic.0.26980-0.View ArticleGoogle Scholar
- Jahic M, Wallberg F, Bollok M, Garcia P, Enfors S: Temperature limited fed-batch technique for control of proteolysis in Pichia pastoris bioreactor cultures. Microb Cell Fact. 2003, 2 (1): 6- 10.1186/1475-2859-2-6.View ArticleGoogle Scholar
- Waterham HR, Digan ME, Koutz PJ, Lair SV, Cregg JM: Isolation of the Pichia pastoris glyceraldehyde-3-phosphate dehydrogenase gene and regulation and use of its promoter. Gene. 1997, 186 (1): 37-44. 10.1016/S0378-1119(96)00675-0.View ArticleGoogle Scholar
- Nombela C, Gil C, Chaffin WL: Non-conventional protein secretion in yeast. Trends Microbiol. 2006, 14 (1): 15-21. 10.1016/j.tim.2005.11.009.View ArticleGoogle Scholar
- Boles E, Hollenberg CP: The molecular genetics of hexose transport in yeasts. FEMS Microbiol Rev. 1997, 21 (1): 85-111. 10.1111/j.1574-6976.1997.tb00346.x.View ArticleGoogle Scholar
- van Urk H, Postma E, Scheffers W, van Dijken J: Glucose transport in crabtree-positive and crabtree-negative yeasts. J Gen Microbiol. 1989, 135 (9): 2399-2406.Google Scholar
- Maurer M, Kuehleitner M, Gasser B, Mattanovich D: Versatile modeling and optimization of fed batch processes for the production of secreted heterologous proteins with Pichia pastoris. Microb Cell Fact. 2006, 5: 37- 10.1186/1475-2859-5-37.View ArticleGoogle Scholar
- Otterstedt K, Larsson C, Bill RM, Stahlberg A, Boles E, Hohmann S, Gustafsson L: Switching the mode of metabolism in the yeast Saccharomyces cerevisiae. EMBO Rep. 2004, 5 (5): 532-537. 10.1038/sj.embor.7400132.View ArticleGoogle Scholar
- Lages F, Silva-Graca M, Lucas C: Active glycerol uptake is a mechanism underlying halotolerance in yeasts: a study of 42 species. Microbiology. 1999, 145 (Pt 9): 2577-2585.View ArticleGoogle Scholar
- Hohenblum H, Gasser B, Maurer M, Borth N, Mattanovich D: Effects of gene dosage, promoters, and substrates on unfolded protein stress of recombinant Pichia pastoris. Biotechnol Bioeng. 2004, 85 (4): 367-375. 10.1002/bit.10904.View ArticleGoogle Scholar
- Stanke M, Waack S: Gene prediction with a hidden Markov model and a new intron submodel. Bioinformatics. 2003, 19 (Suppl 2): ii215-225.View ArticleGoogle Scholar
- Delcher A, Bratke K, Powers E, Salzberg S: Identifying bacterial genes and endosymbiont DNA with Glimmer. Bioinformatics. 2007, 23 (6): 673-679. 10.1093/bioinformatics/btm009.View ArticleGoogle Scholar
- Li W, Godzik A: Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide. Bioinformatics. 2006, 22 (13): 1658-1659. 10.1093/bioinformatics/btl158.View ArticleGoogle Scholar
- Lowe T, Eddy S: tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence. Nucleic Acids Res. 1997, 25 (5): 955-964. 10.1093/nar/25.5.955.View ArticleGoogle Scholar
- Bendtsen J, Nielsen H, von Heijne G, Brunak S: Improved prediction of signal peptides: SignalP 3.0. J Mol Biol. 2004, 340 (4): 783-795. 10.1016/j.jmb.2004.05.028.View ArticleGoogle Scholar
- Nielsen H, Engelbrecht J, Brunak S, von Heijne G: Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites. Protein Eng. 1997, 10 (1): 1-6. 10.1093/protein/10.1.1.View ArticleGoogle Scholar
- Käll L, Krogh A, Sonnhammer E: Advantages of combined transmembrane topology and signal peptide prediction – the Phobius web server. Nucleic Acids Res. 2007, W429-432. 35 Web ServerView ArticleGoogle Scholar
- Fankhauser N, Mäser P: Identification of GPI anchor attachment signals by a Kohonen self-organizing map. Bioinformatics. 2005, 21 (9): 1846-1852. 10.1093/bioinformatics/bti299.View ArticleGoogle Scholar
- Eisenhaber B, Schneider G, Wildpaner M, Eisenhaber F: A sensitive predictor for potential GPI lipid modification sites in fungal protein sequences and its application to genome-wide studies for Aspergillus nidulans, Candida albicans, Neurospora crassa, Saccharomyces cerevisiae and Schizosaccharomyces pombe. J Mol Biol. 2004, 337 (2): 243-253. 10.1016/j.jmb.2004.01.025.View ArticleGoogle Scholar
- Emanuelsson O, Nielsen H, Brunak S, von Heijne G: Predicting subcellular localization of proteins based on their N-terminal amino acid sequence. J Mol Biol. 2000, 300 (4): 1005-1016. 10.1006/jmbi.2000.3903.View ArticleGoogle Scholar
- Horton P, Park K, Obayashi T, Fujita N, Harada H, Adams-Collier C, Nakai K: WoLF PSORT: protein localization predictor. Nucleic Acids Res. 2007, W585-587. 35 Web ServerView ArticleGoogle Scholar
- X!Tandem. http://www.thegpm.org/tandem/
- NetNGlyc 1.0 server. http://www.cbs.dtu.dk/services/NetNGlyc/
- ClustalW. http://align.genome.jp
- Bairoch A: PROSITE: a dictionary of sites and patterns in proteins. Nucleic Acids Res. 1992, 20 (Suppl): 2013-2018.View ArticleGoogle Scholar
- InterProScan. http://www.ebi.ac.uk/Tools/InterProScan/
- Mungall C, Emmert D: A Chado case study: an ontology-based modular schema for representing genome-associated biological information. Bioinformatics. 2007, 23 (13): i337-346. 10.1093/bioinformatics/btm189.View ArticleGoogle Scholar
- Stein L, Mungall C, Shu S, Caudy M, Mangone M, Day A, Nickerson E, Stajich J, Harris T, Arva A, et al: The generic genome browser: a building block for a model organism system database. Genome Res. 2002, 12 (10): 1599-1610. 10.1101/gr.403602.View ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.