Expertise

Hub members Have many expertise, covering most of the fields in bioinformatics and biostatistics. You'll find below a non-exhaustive list of these expertise

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Searched keyword : Genome rearrangements

Related people (1)

Varun KHANNA


2015 – . – Institut Pasteur, Paris, France – Unit : Bioinformatics and Biostatistics HUB 2012 – 2015 – Institut Pasteur, Paris, France – Unit : Molecular Genetics of Yeasts Supervisor : Prof. B. Dujon 2012 – Institut Pasteur, Paris, France – Unit : Integrated Mycobacterial Pathogenomics Supervisor: Dr. R. Brosch Education 2012– MSc. Bioinformatics – Université Paris Diderot (Paris VII)


Keywords
Genome assemblySequence analysisGenome analysisOrthology and paralogy analysisRead mappingSequence homology analysisDNA structure analysisGenome rearrangementsMotifs and patterns detection
Organisms
Saccharomyces cerevisiae
Projects (25)

Related project (1)

How ribosomal protein gene position impacts in the genome evolution during a long term evolution experiment.

Increasing evidence indicates that nucleoid spatiotemporal organization is crucial for bacterial physiology since these microorganism lack a compartmentalized nucleus. However, it is still unclear how gene order within the chromosome can influence cell physiology. In silico approaches have shown that genes involved in transcription and translation processes, in particular ribosomal protein (RP) genes, tend to be located near the replication origin (oriC) in fast-growing bacteria suggesting that such a positional bias might be an evolutionarily conserved growth-optimization strategy. Recently we systematically relocated a locus containing half of ribosomal protein genes (S10) to different genomic positions in Vibrio cholerae. These experiments revealed drastic differences in growth rate and infectivity within this isogenic strain set. We showed that genomic positioning of ribosomal protein genes is crucial for physiology by providing replication-dependent higher dosage in fast growing conditions. Therefore it might play a key role in genome evolution of bacterial species. We aim at observing how the genomic positioning of these genes would influence the evolution of Vibrio cholerae. To gain insight into the evolutionary consequences of relocating RP genes, we let evolve either the wild type or the most affected strains for 1000 generations in fast-growing conditions. NGS will be performed and analyzedon the evolved populations to understand the genetic changes responsible of the observed phenotypic changes.


Project organisms
BacteriaVibrio cholerae