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Featured researches published by Kaj Albermann.


Nature Biotechnology | 2007

Genome sequencing and analysis of the versatile cell factory Aspergillus niger CBS 513.88

Herman Jan Pel; Johannes H. de Winde; David B. Archer; Paul S. Dyer; Gerald Hofmann; Peter J. Schaap; Geoffrey Turner; Ronald P. de Vries; Richard Albang; Kaj Albermann; Mikael Rørdam Andersen; Jannick Dyrløv Bendtsen; Jacques A. E. Benen; Marco van den Berg; Stefaan Breestraat; Mark X. Caddick; Roland Contreras; Michael Cornell; Pedro M. Coutinho; Etienne Danchin; Alfons J. M. Debets; Peter Dekker; Piet W.M. van Dijck; Alard Van Dijk; Lubbert Dijkhuizen; Arnold J. M. Driessen; Christophe d'Enfert; Steven Geysens; Coenie Goosen; Gert S.P. Groot

The filamentous fungus Aspergillus niger is widely exploited by the fermentation industry for the production of enzymes and organic acids, particularly citric acid. We sequenced the 33.9-megabase genome of A. niger CBS 513.88, the ancestor of currently used enzyme production strains. A high level of synteny was observed with other aspergilli sequenced. Strong function predictions were made for 6,506 of the 14,165 open reading frames identified. A detailed description of the components of the protein secretion pathway was made and striking differences in the hydrolytic enzyme spectra of aspergilli were observed. A reconstructed metabolic network comprising 1,069 unique reactions illustrates the versatile metabolism of A. niger. Noteworthy is the large number of major facilitator superfamily transporters and fungal zinc binuclear cluster transcription factors, and the presence of putative gene clusters for fumonisin and ochratoxin A synthesis.


Nature | 1997

Overview of the yeast genome.

Hans-Werner Mewes; Kaj Albermann; Manuel Bahr; Dmitrij Frishman; A. Gleissner; Jean Hani; Klaus Heumann; K. Kleine; Andreas Maierl; Stephen G. Oliver; F. Pfeiffer; Alfred Zollner

Nature 387 (Suppl.) 9 (1997) The display for chromosome 1 was incorrect as published owing to an error in the production process. The correct figure is shown here.


Nature Biotechnology | 2008

Genome sequencing and analysis of the filamentous fungus Penicillium chrysogenum

Marco van den Berg; Richard Albang; Kaj Albermann; Jonathan H. Badger; Jean-Marc Daran; Arnold J. M. Driessen; Carlos García-Estrada; Natalie D. Fedorova; Diana M. Harris; Wilbert H. M. Heijne; Vinita Joardar; Jan A. K. W. Kiel; Andriy Kovalchuk; Juan F. Martín; William C. Nierman; Jeroen G. Nijland; Jack T. Pronk; Johannes Andries Roubos; Ida J. van der Klei; Noël N. M. E. van Peij; Marten Veenhuis; Hans von Döhren; Christian Wagner; Jennifer R. Wortman; Roel A. L. Bovenberg

Industrial penicillin production with the filamentous fungus Penicillium chrysogenum is based on an unprecedented effort in microbial strain improvement. To gain more insight into penicillin synthesis, we sequenced the 32.19 Mb genome of P. chrysogenum Wisconsin54-1255 and identified numerous genes responsible for key steps in penicillin production. DNA microarrays were used to compare the transcriptomes of the sequenced strain and a penicillinG high-producing strain, grown in the presence and absence of the side-chain precursor phenylacetic acid. Transcription of genes involved in biosynthesis of valine, cysteine and α-aminoadipic acid—precursors for penicillin biosynthesis—as well as of genes encoding microbody proteins, was increased in the high-producing strain. Some gene products were shown to be directly controlling β-lactam output. Many key cellular transport processes involving penicillins and intermediates remain to be characterized at the molecular level. Genes predicted to encode transporters were strongly overrepresented among the genes transcriptionally upregulated under conditions that stimulate penicillinG production, illustrating potential for future genomics-driven metabolic engineering.


Genome Research | 2011

Comparative genomics of citric-acid-producing Aspergillus niger ATCC 1015 versus enzyme-producing CBS 513.88

Mikael Rørdam Andersen; Margarita Salazar; Peter J. Schaap; Peter J. I. van de Vondervoort; David E. Culley; Jette Thykaer; Jens Christian Frisvad; Kristian Fog Nielsen; Richard Albang; Kaj Albermann; Randy M. Berka; Gerhard H. Braus; Susanna A. Braus-Stromeyer; Luis M. Corrochano; Piet W.M. van Dijck; Gerald Hofmann; Linda L. Lasure; Jon K. Magnuson; Hildegard Menke; Martin Meijer; Susan Lisette Meijer; Jakob Blæsbjerg Nielsen; Michael Lynge Nielsen; Albert J.J. van Ooyen; Herman Jan Pel; Lars Kongsbak Poulsen; R.A. Samson; Hein Stam; Adrian Tsang; Johannes Maarten Van Den Brink

The filamentous fungus Aspergillus niger exhibits great diversity in its phenotype. It is found globally, both as marine and terrestrial strains, produces both organic acids and hydrolytic enzymes in high amounts, and some isolates exhibit pathogenicity. Although the genome of an industrial enzyme-producing A. niger strain (CBS 513.88) has already been sequenced, the versatility and diversity of this species compel additional exploration. We therefore undertook whole-genome sequencing of the acidogenic A. niger wild-type strain (ATCC 1015) and produced a genome sequence of very high quality. Only 15 gaps are present in the sequence, and half the telomeric regions have been elucidated. Moreover, sequence information from ATCC 1015 was used to improve the genome sequence of CBS 513.88. Chromosome-level comparisons uncovered several genome rearrangements, deletions, a clear case of strain-specific horizontal gene transfer, and identification of 0.8 Mb of novel sequence. Single nucleotide polymorphisms per kilobase (SNPs/kb) between the two strains were found to be exceptionally high (average: 7.8, maximum: 160 SNPs/kb). High variation within the species was confirmed with exo-metabolite profiling and phylogenetics. Detailed lists of alleles were generated, and genotypic differences were observed to accumulate in metabolic pathways essential to acid production and protein synthesis. A transcriptome analysis supported up-regulation of genes associated with biosynthesis of amino acids that are abundant in glucoamylase A, tRNA-synthases, and protein transporters in the protein producing CBS 513.88 strain. Our results and data sets from this integrative systems biology analysis resulted in a snapshot of fungal evolution and will support further optimization of cell factories based on filamentous fungi.


Nature | 1997

Erratum: Overview of the yeast genome

Hans-Werner Mewes; Kaj Albermann; M. Bähr; Dmitrij Frishman; A. Gleissner; Jean Hani; Klaus Heumann; K. Kleine; Andreas Maierl; Stephen G. Oliver; F. Pfeiffer; Alfred Zollner

Nature 387 (Suppl.) 9 (1997) The display for chromosome 1 was incorrect as published owing to an error in the production process. The correct figure is shown here.


Bioinformatics | 2001

Functional and structural genomics using PEDANT

Dmitrij Frishman; Kaj Albermann; Jean Hani; Klaus Heumann; Agnes Metanomski; Alfred Zollner; Hans-Werner Mewes

MOTIVATION Enormous demand for fast and accurate analysis of biological sequences is fuelled by the pace of genome analysis efforts. There is also an acute need in reliable up-to-date genomic databases integrating both functional and structural information. Here we describe the current status of the PEDANT software system for high-throughput analysis of large biological sequence sets and the genome analysis server associated with it. RESULTS The principal features of PEDANT are: (i) completely automatic processing of data using a wide range of bioinformatics methods, (ii) manual refinement of annotation, (iii) automatic and manual assignment of gene products to a number of functional and structural categories, (iv) extensive hyperlinked protein reports, and (v) advanced DNA and protein viewers. The system is easily extensible and allows to include custom methods, databases, and categories with minimal or no programming effort. PEDANT is actively used as a collaborative environment to support several on-going genome sequencing projects. The main purpose of the PEDANT genome database is to quickly disseminate well-organized information on completely sequenced and unfinished genomes. It currently includes 80 genomic sequences and in many cases serves as the only source of exhaustive information on a given genome. The database also acts as a vehicle for a number of research projects in bioinformatics. Using SQL queries, it is possible to correlate a large variety of pre-computed properties of gene products encoded in complete genomes with each other and compare them with data sets of special scientific interest. In particular, the availability of structural predictions for over 300 000 genomic proteins makes PEDANT the most extensive structural genomics resource available on the web.


Nucleic Acids Research | 2003

The PEDANT genome database

Dmitrij Frishman; Martin Mokrejs; Denis Kosykh; Gabi Kastenmüller; Grigory Kolesov; Igor Zubrzycki; Christian Gruber; Birgitta Geier; Andreas Kaps; Kaj Albermann; Andreas Volz; Christian Wagner; Matthias Fellenberg; Klaus Heumann; Hans-Werner Mewes

The PEDANT genome database (http://pedant.gsf.de) provides exhaustive automatic analysis of genomic sequences by a large variety of established bioinformatics tools through a comprehensive Web-based user interface. One hundred and seventy seven completely sequenced and unfinished genomes have been processed so far, including large eukaryotic genomes (mouse, human) published recently. In this contribution, we describe the current status of the PEDANT database and novel analytical features added to the PEDANT server in 2002. Those include: (i) integration with the BioRS data retrieval system which allows fast text queries, (ii) pre-computed sequence clusters in each complete genome, (iii) a comprehensive set of tools for genome comparison, including genome comparison tables and protein function prediction based on genomic context, and (iv) computation and visualization of protein-protein interaction (PPI) networks based on experimental data. The availability of functional and structural predictions for 650 000 genomic proteins in well organized form makes PEDANT a useful resource for both functional and structural genomics.


Fems Yeast Research | 2003

The Hansenula polymorpha (strain CBS4732) genome sequencing and analysis

Massoud Ramezani-Rad; Cornelis P. Hollenberg; Juergen Lauber; Holger Wedler; Eike Griess; Christian Wagner; Kaj Albermann; Jean Hani; Michael Piontek; Ulrike Dahlems; Gerd Gellissen

The methylotrophic yeast Hansenula polymorpha is a recognised model system for investigation of peroxisomal function, special metabolic pathways like methanol metabolism, of nitrate assimilation or thermostability. Strain RB11, an odc1 derivative of the particular H. polymorpha isolate CBS4732 (synonymous to ATCC34438, NRRL-Y-5445, CCY38-22-2) has been developed as a platform for heterologous gene expression. The scientific and industrial significance of this organism is now being met by the characterisation of its entire genome. The H. polymorpha RB11 genome consists of approximately 9.5 Mb and is organised as six chromosomes ranging in size from 0.9 to 2.2 Mb. Over 90% of the genome was sequenced with concomitant high accuracy and assembled into 48 contigs organised on eight scaffolds (supercontigs). After manual annotation 4767 out of 5933 open reading frames (ORFs) with significant homologies to a non-redundant protein database were predicted. The remaining 1166 ORFs showed no significant similarity to known proteins. The number of ORFs is comparable to that of other sequenced budding yeasts of similar genome size.


Nucleic Acids Research | 2004

The FunCat, a functional annotation scheme for systematic classification of proteins from whole genomes

Andreas Ruepp; Alfred Zollner; Dieter Maier; Kaj Albermann; Jean Hani; Martin Mokrejs; Igor V. Tetko; Ulrich Güldener; Gertrud Mannhaupt; Martin Münsterkötter; H. Werner Mewes


Proceedings of the National Academy of Sciences of the United States of America | 2006

How to become a uropathogen: Comparative genomic analysis of extraintestinal pathogenic Escherichia coli strains

Elzbieta Brzuszkiewicz; Holger Brüggemann; Heiko Liesegang; Melanie Emmerth; Tobias Ölschläger; Gábor Nagy; Kaj Albermann; Christian Wagner; Carmen Buchrieser; Levente Emödy; Gerhard Gottschalk; Jörg Hacker; Ulrich Dobrindt

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Jean Hani

Biomax Informatics AG

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Gerald Hofmann

Technical University of Denmark

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Mikael Rørdam Andersen

Technical University of Denmark

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Peter J. Schaap

Wageningen University and Research Centre

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