Karina Brinkrolf

High-quality genome sequence of Pichia pastoris CBS7435.

The methylotrophic yeast Pichia pastoris (Komagataella phaffii) CBS7435 is the parental strain of commonly used P. pastoris recombinant protein production hosts making it well suited for improving the understanding of associated genomic features. Here, we present a 9.35 Mbp high-quality genome sequence of P. pastoris CBS7435 established by a combination of 454 and Illumina sequencing. An automatic annotation of the genome sequence yielded 5007 protein-coding genes, 124 tRNAs and 29 rRNAs. Moreover, we report the complete DNA sequence of the first mitochondrial genome of a methylotrophic yeast. Fifteen genes encoding proteins, 2 rRNA and 25 tRNA loci were identified on the 35.7 kbp circular, mitochondrial DNA. Furthermore, the architecture of the putative alpha mating factor protein of P. pastoris CBS7435 turned out to be more complex than the corresponding protein of Saccharomyces cerevisiae.

The individual and common repertoire of DNA-binding transcriptional regulators of Corynebacterium glutamicum, Corynebacterium efficiens, Corynebacterium diphtheriae and Corynebacterium jeikeium deduced from the complete genome sequences

BackgroundThe genus Corynebacterium includes Gram-positive microorganisms of great biotechnologically importance, such as Corynebacterium glutamicum and Corynebacterium efficiens, as well as serious human pathogens, such as Corynebacterium diphtheriae and Corynebacterium jeikeium. Although genome sequences of the respective species have been determined recently, the knowledge about the repertoire of transcriptional regulators and the architecture of global regulatory networks is scarce. Here, we apply a combination of bioinformatic tools and a comparative genomic approach to identify and characterize a set of conserved DNA-binding transcriptional regulators in the four corynebacterial genomes.ResultsA collection of 127 DNA-binding transcriptional regulators was identified in the C. glutamicum ATCC 13032 genome, whereas 103 regulators were detected in C. efficiens YS-314, 63 in C. diphtheriae NCTC 13129 and 55 in C. jeikeium K411. According to amino acid sequence similarities and protein structure predictions, the DNA-binding transcriptional regulators were grouped into 25 regulatory protein families. The common set of DNA-binding transcriptional regulators present in the four corynebacterial genomes consists of 28 proteins that are apparently involved in the regulation of cell division and septation, SOS and stress response, carbohydrate metabolism and macroelement and metal homeostasis.ConclusionThis work describes characteristic features of a set of conserved DNA-binding transcriptional regulators present within the corynebacterial core genome. The knowledge on the physiological function of these proteins should not only contribute to our understanding of the regulation of gene expression but will also provide the basis for comprehensive modeling of transcriptional regulatory networks of these species.

Unraveling the Chinese hamster ovary cell line transcriptome by next-generation sequencing.

The pyrosequencing technology from 454 Life Sciences and a novel assembly approach for cDNA sequences with the Newbler Assembler were used to achieve a major step forward to unravel the transcriptome of Chinese hamster ovary (CHO) cells. Normalized cDNA libraries originating from several cell lines and diverse culture conditions were sequenced and the resulting 1.84 million reads were assembled into 32,801 contiguous sequences, 29,184 isotigs, and 24,576 isogroups. A taxonomic classification of the isotigs showed that more than 70% of the assembled data is most similar to the transcriptome of Mus musculus, with most of the remaining isotigs being homologous to DNA sequences from Rattus norvegicus. Mapping of the CHO cell line contigs to the mouse transcriptome demonstrated that 9124 mouse transcripts, representing 6701 genes, are covered by more than 95% of their sequence length. Metabolic pathways of the central carbohydrate metabolism and biosynthesis routes of sugars used for protein N-glycosylation were reconstructed from the transcriptome data. All relevant genes representing major steps in the N-glycosylation pathway of CHO cells were detected. The present manuscript represents a data set of assembled and annotated genes for CHO cells that can now be used for a detailed analysis of the molecular functioning of CHO cell lines.

The lifestyle of Corynebacterium urealyticum derived from its complete genome sequence established by pyrosequencing

Corynebacterium urealyticum is a lipid-requiring, urealytic bacterium of the human skin flora that has been recognized as causative agent of urinary tract infections. We report the analysis of the complete genome sequence of C. urealyticum DSM7109, which was initially recovered from a patient with alkaline-encrusted cystitis. The genome sequence was determined by a combination of pyrosequencing and Sanger technology. The chromosome of C. urealyticum DSM7109 has a size of 2,369,219bp and contains 2024 predicted coding sequences, of which 78% were considered as orthologous with genes in the Corynebacterium jeikeium K411 genome. Metabolic analysis of the lipid-requiring phenotype revealed the absence of a fatty acid synthase gene and the presence of a beta-oxidation pathway along with a large repertoire of auxillary genes for the degradation of exogenous fatty acids. A urease locus with the gene order ureABCEFGD may play a pivotal role in virulence of C. urealyticum by the alkalinization of human urine and the formation of struvite stones. Multidrug resistance of C. urealyticum DSM7109 is mediated by transposable elements, conferring resistances to macrolides, lincosamides, ketolides, aminoglycosides, chloramphenicol, and tetracycline. The complete genome sequence of C. urealyticum revealed a detailed picture of the lifestyle of this opportunistic human pathogen.

CoryneRegNet: an ontology-based data warehouse of corynebacterial transcription factors and regulatory networks.

BackgroundThe application of DNA microarray technology in post-genomic analysis of bacterial genome sequences has allowed the generation of huge amounts of data related to regulatory networks. This data along with literature-derived knowledge on regulation of gene expression has opened the way for genome-wide reconstruction of transcriptional regulatory networks. These large-scale reconstructions can be converted into in silico models of bacterial cells that allow a systematic analysis of network behavior in response to changing environmental conditions.DescriptionCoryneRegNet was designed to facilitate the genome-wide reconstruction of transcriptional regulatory networks of corynebacteria relevant in biotechnology and human medicine. During the import and integration process of data derived from experimental studies or literature knowledge CoryneRegNet generates links to genome annotations, to identified transcription factors and to the corresponding cis-regulatory elements. CoryneRegNet is based on a multi-layered, hierarchical and modular concept of transcriptional regulation and was implemented by using the relational database management system MySQL and an ontology-based data structure. Reconstructed regulatory networks can be visualized by using the yFiles JAVA graph library. As an application example of CoryneRegNet, we have reconstructed the global transcriptional regulation of a cellular module involved in SOS and stress response of corynebacteria.ConclusionCoryneRegNet is an ontology-based data warehouse that allows a pertinent data management of regulatory interactions along with the genome-scale reconstruction of transcriptional regulatory networks. These models can further be combined with metabolic networks to build integrated models of cellular function including both metabolism and its transcriptional regulation.

Ultrafast pyrosequencing of Corynebacterium kroppenstedtii DSM44385 revealed insights into the physiology of a lipophilic corynebacterium that lacks mycolic acids

Corynebacterium kroppenstedtii is a lipophilic corynebacterial species that lacks in the cell envelope the characteristic alpha-alkyl-beta-hydroxy long-chain fatty acids, designated mycolic acids. We report here the bioinformatic analysis of genome data obtained by pyrosequencing of the type strain C. kroppenstedtii DSM44385 that was initially isolated from human sputum. A single run with the Genome Sequencer FLX system revealed 560,248 shotgun reads with 110,018,974 detected bases that were assembled into a contiguous genomic sequence with a total size of 2,446,804bp. Automatic annotation of the complete genome sequence resulted in the prediction of 2122 coding sequences, of which 29% were considered as specific for C. kroppenstedtii when compared with predicted proteins from hitherto sequenced pathogenic corynebacteria. This comparative content analysis of the genome data revealed a large repertoire of genes involved in sugar uptake and central carbohydrate metabolism and the presence of the mevalonate route for isoprenoid biosynthesis. The lack of mycolic acids and the lipophilic lifestyle of C. kroppenstedtii are apparently caused by gene loss, including a condensase gene cluster, a mycolate reductase gene, and a microbial type I fatty acid synthase gene. A complete beta-oxidation pathway involved in the degradation of fatty acids is present in the genome. Evaluation of the genomic data indicated that lipophilism is the dominant feature involved in pathogenicity of C. kroppenstedtii.

The IclR-Type Transcriptional Repressor LtbR Regulates the Expression of Leucine and Tryptophan Biosynthesis Genes in the Amino Acid Producer Corynebacterium glutamicum

The transcriptional regulator Cg1486 of Corynebacterium glutamicum ATCC 13032 is a member of the IclR protein family and belongs to the conserved set of regulatory proteins in corynebacteria. A defined deletion in the cg1486 gene, now designated ltbR (leucine and tryptophan biosynthesis regulator), led to the mutant strain C. glutamicum IB1486. According to whole-genome expression analysis by DNA microarray hybridizations, transcription of the leuB and leuCD genes encoding enzymes of the leucine biosynthesis pathway was enhanced in C. glutamicum IB1486 compared with the wild-type strain. Moreover, the genes of the trpEGDCFBA operon involved in tryptophan biosynthesis of C. glutamicum showed an enhanced expression in the cg1486 mutant strain. Bioinformatics pattern searches in the upstream regions of the differentially expressed genes revealed the common 12-bp motif CA(T/C)ATAGTG(A/G)GA that is located downstream of the -10 region of the mapped promoter sequences. DNA band shift assays with a streptavidin-tagged LtbR protein demonstrated the specific binding of the purified protein to 40-mers containing the 12-bp motif localized in front of leuB, leuC, and trpE, thereby confirming the direct regulatory role of LtbR in the expression of the leucine and tryptophan biosynthesis pathway genes of C. glutamicum. Genes homologous with ltbR were detected upstream of the leuCD genes in almost all sequenced genomes of bacteria belonging to the taxonomic class Actinobacteria. The ltbR-like genes of Corynebacterium diphtheriae, Corynebacterium jeikeium, Mycobacterium bovis, and Bifidobacterium longum were cloned and shown to complement the deregulation of leuB, leuCD, and trpE gene expression in C. glutamicum IB1486.

Construction of a Public CHO Cell Line Transcript Database Using Versatile Bioinformatics Analysis Pipelines

Chinese hamster ovary (CHO) cell lines represent the most commonly used mammalian expression system for the production of therapeutic proteins. In this context, detailed knowledge of the CHO cell transcriptome might help to improve biotechnological processes conducted by specific cell lines. Nevertheless, very few assembled cDNA sequences of CHO cells were publicly released until recently, which puts a severe limitation on biotechnological research. Two extended annotation systems and web-based tools, one for browsing eukaryotic genomes (GenDBE) and one for viewing eukaryotic transcriptomes (SAMS), were established as the first step towards a publicly usable CHO cell genome/transcriptome analysis platform. This is complemented by the development of a new strategy to assemble the ca. 100 million reads, sequenced from a broad range of diverse transcripts, to a high quality CHO cell transcript set. The cDNA libraries were constructed from different CHO cell lines grown under various culture conditions and sequenced using Roche/454 and Illumina sequencing technologies in addition to sequencing reads from a previous study. Two pipelines to extend and improve the CHO cell line transcripts were established. First, de novo assemblies were carried out with the Trinity and Oases assemblers, using varying k-mer sizes. The resulting contigs were screened for potential CDS using ESTScan. Redundant contigs were filtered out using cd-hit-est. The remaining CDS contigs were re-assembled with CAP3. Second, a reference-based assembly with the TopHat/Cufflinks pipeline was performed, using the recently published draft genome sequence of CHO-K1 as reference. Additionally, the de novo contigs were mapped to the reference genome using GMAP and merged with the Cufflinks assembly using the cuffmerge software. With this approach 28,874 transcripts located on 16,492 gene loci could be assembled. Combining the results of both approaches, 65,561 transcripts were identified for CHO cell lines, which could be clustered by sequence identity into 17,598 gene clusters.

Genetic makeup of the Corynebacterium glutamicum LexA regulon deduced from comparative transcriptomics and in vitro DNA band shift assays

The lexA gene of Corynebacterium glutamicum ATCC 13032 was deleted to create the mutant strain C. glutamicum NJ2114, which has an elongated cell morphology and an increased doubling time. To characterize the SOS regulon in C. glutamicum, the transcriptomes of NJ2114 and a DNA-damage-induced wild-type strain were compared with that of a wild-type control using DNA microarray hybridization. The expression data were combined with bioinformatic pattern searches for LexA binding sites, leading to the detection of 46 potential SOS boxes located upstream of differentially expressed transcription units. Binding of a hexahistidyl-tagged LexA protein to 40 double-stranded oligonucleotides containing the potential SOS boxes was demonstrated in vitro by DNA band shift assays. It turned out that LexA binds not only to SOS boxes in the promoter-operator region of upregulated genes, but also to SOS boxes detected upstream of downregulated genes. These results demonstrated that LexA controls directly the expression of at least 48 SOS genes organized in 36 transcription units. The deduced genes encode a variety of physiological functions, many of them involved in DNA repair and survival after DNA damage, but nearly half of them have hitherto unknown functions. Alignment of the LexA binding sites allowed the corynebacterial SOS box consensus sequence TcGAA(a/c)AnnTGTtCGA to be deduced. Furthermore, the common intergenic region of lexA and the differentially expressed divS-nrdR operon, encoding a cell division suppressor and a regulator of deoxyribonucleotide biosynthesis, was characterized in detail. Promoter mapping revealed differences in divS-nrdR expression during SOS response and normal growth conditions. One of the four LexA binding sites detected in the intergenic region is involved in regulating divS-nrdR transcription, whereas the other sites are apparently used for negative autoregulation of lexA expression.

Utilization and evaluation of CHO-specific sequence databases for mass spectrometry based proteomics†

Recently released sequence information on Chinese hamster ovary (CHO) cells promises to not only facilitate our understanding of these industrially important cell factories through direct analysis of the sequence, but also to enhance existing methodologies and allow new tools to be developed. In this article we demonstrate the utilization of CHO specific sequence information to improve mass spectrometry (MS) based proteomic identification. The use of various CHO specific databases enabled the identification of 282 additional proteins, thus increasing the total number of identified proteins by 40–50%, depending on the sample source and methods used. In addition, a considerable portion of those proteins that were identified previously based on inter‐species sequence homology were now identified by a larger number of peptides matched, thus increasing the confidence of identification. The new sequence information offers improved interpretation of proteomic analyses and will, in the years to come, prove vital to unraveling the CHO proteome. Biotechnol. Bioeng. 2012; 109:1386–1394.