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T Sicheritz-Pontén

Publications and source records attributed to T Sicheritz-Pontén.

5 recordsLinked to original sources
PubMed2001

A phylogenomic approach to microbial evolution.

To study the origin and evolution of biochemical pathways in microorganisms, we have developed methods and software for automatic, large-scale reconstructions of phylogenetic relationships. We define the complete set of phylogenetic trees derived from the proteome of an organism as the phylome and introduce the term phylogenetic connection as a concept that describes the relative relationships between taxa in a tree. A query system has been incorporated into the system so as to allow searches for defined categories of trees within the phylome. As a complement, we have developed the pyphy system for visualising the results of complex queries on phylogenetic connections, genomic locations and functional assignments in a graphical format. Our phylogenomics approach, which links phylogenetic information to the flow of biochemical pathways within and among microbial species, has been used to examine more than 8000 phylogenetic trees from seven microbial genomes. The results have revealed a rich web of phylogenetic connections. However, the separation of Bacteria and Archaea into two separate domains remains robust.

Computational Biology↗
PubMed1998

The genome sequence of Rickettsia prowazekii and the origin of mitochondria.

We describe here the complete genome sequence (1,111,523 base pairs) of the obligate intracellular parasite Rickettsia prowazekii, the causative agent of epidemic typhus. This genome contains 834 protein-coding genes. The functional profiles of these genes show similarities to those of mitochondrial genes: no genes required for anaerobic glycolysis are found in either R. prowazekii or mitochondrial genomes, but a complete set of genes encoding components of the tricarboxylic acid cycle and the respiratory-chain complex is found in R. prowazekii. In effect, ATP production in Rickettsia is the same as that in mitochondria. Many genes involved in the biosynthesis and regulation of biosynthesis of amino acids and nucleosides in free-living bacteria are absent from R. prowazekii and mitochondria. Such genes seem to have been replaced by homologues in the nuclear (host) genome. The R. prowazekii genome contains the highest proportion of non-coding DNA (24%) detected so far in a microbial genome. Such non-coding sequences may be degraded remnants of 'neutralized' genes that await elimination from the genome. Phylogenetic analyses indicate that R. prowazekii is more closely related to mitochondria than is any other microbe studied so far.

DNA Replication↗
PubMed1998

A phylogenetic analysis of the cytochrome b and cytochrome c oxidase I genes supports an origin of mitochondria from within the Rickettsiaceae.

We have cloned and sequenced the genes encoding cytochrome b (cob) and cytochrome c oxidase subunit I (cox1) from Rickettsia prowazekii, a member of the alpha-proteobacteria. The phylogenetic analysis supports the hypothesis that mitochondria are derived from the alpha-proteobacteria and more specifically from within the Rickettsiaceae. We have estimated that the common ancestor of mitochondria and Rickettsiaceae dates back to more than 1500 million years ago.

Amino Acids↗
PubMed1997

GRS: a graphic tool for genome retrieval and segment analysis.

GRS is a graphic tool for retrieval and visualization of genome segments from partially or completely sequenced genomes. To facilitate visual identification of conserved genomic motifs, genes are color-coded according to their presumed functional roles. Aligned genes can be rapidly screened for potential homology by automatic retrieval and alignment of the corresponding protein sequences. Furthermore, the map location of any genome segment can be visually compared to the position of the same segment in other genomes or to the position of other segments within the same genome. The gene string analysis option of GRS allows the identification of genes that are identically arranged in any pairwise set of genomes. Finally, the program allows the user to create new gene table format files to enable comparisons of gene order structures in recently determined sequence data to the patterns of genes in already existing microbial and organellar databases. With the help of GRS, the genomic contexts of genes for which no identifiable homologues exist can be analyzed to provide an additional source of information for sequence annotations. We illustrate the use of GRS by analyzing the structure and distribution of phylogenetically conserved motifs in closely as well as more distantly related microbial genomes.

Computer Graphics↗