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Biomedical subjects

P Guerdoux-Jamet

Publications and source records attributed to P Guerdoux-Jamet.

7 recordsLinked to original sources

Implication of gene distribution in the bacterial chromosome for the bacterial cell factory.

As bacterial genome sequences accumulate, more and more pieces of data suggest that there is a significant correlation between the distribution of genes along the chromosome and the physical architecture of the cell, suggesting that the map of the cell is in the chromosome. Considering sequences and experimental data indicative of cell compartmentalisation, mRNA folding and turnover, as well as known structural features of protein and membrane complexes, we show that preliminary in silico analysis of whole genome sequences strongly substantiates this hypothesis. If there is a correlation between the genome sequence and the cell architecture, it must derive from some selection pressure in the organisms growing in the wild. As a consequence, the underlying constraints should be optimised in genetically modified organisms if one is to expect high product yields. Consequences in terms of gene expression for biotechnology are straightforward: knocking genes out and in genomes should not be randomly performed, but should follow the rules of chromosome organisation.

Bacteria↗

Mapping the bacterial cell architecture into the chromosome.

A genome is not a simple collection of genes. We propose here that it can be viewed as being organized as a 'celluloculus' similar to the homunculus of preformists, but pertaining to the category of programmes (or algorithms) rather than to that of architectures or structures: a significant correlation exists between the distribution of genes along the chromosome and the physical architecture of the cell. We review here data supporting this observation, stressing physical constraints operating on the cell's architecture and dynamics, and their consequences in terms of gene and genome structure. If such a correlation exists, it derives from some selection pressure: simple and general physical principles acting at the level of the cell structure are discussed. As a first case in point we see the piling up of planar modules as a stable, entropy-driven, architectural principle that could be at the root of the coupling between the architecture of the cell and the location of genes at specific places in the chromosome. We propose that the specific organization of certain genes whose products have a general tendency to form easily planar modules is a general motor for architectural organization in the bacterial cell. A second mechanism, operating at the transcription level, is described that could account for the efficient building up of complex structures. As an organizing principle we suggest that exploration by biological polymers of the vast space of possible conformation states is constrained by anchoring points. In particular, we suggest that transcription does not always allow the 5'-end of the transcript to go free and explore the many conformations available, but that, in many cases, it remains linked to the transcribing RNA polymerase complex in such a way that loops of RNA, rather than threads with a free end, explore the surrounding medium. In bacteria, extension of the loops throughout the cytoplasm would therefore be mediated by the de novo synthesis of ribosomes in growing cells. Termination of transcription and mRNA turnover would accordingly be expected to be controlled by sequence features at both the 3'- and 5'-ends of the molecule. These concepts are discussed taking into account in vitro analysis of genome sequences and experimental data about cell compartmentalization, mRNA folding and turnover, as well as known structural features of protein and membrane complexes.

Chromosome Mapping↗

A symbolic-numeric approach to find patterns in genomes. Application to the translation initiation sites of E. coli.

DNA sequence data provided by genome sequencing programs open new research prospects. In this respect, computational investigations are of major importance to discover new 'functional/structural patterns' and to improve biological process knowledge. For example, even though the principal steps of translation initiation in prokaryotes are known, it is difficult to point out the exact pattern of the mRNA that is recognized by the ribosome. In this study, we have carried out a systematic context analysis of the complete genome of E. coli, around codons in competition for translation initiation. Using a combinatorial approach, we first show that it is possible to accurately define the initiation site by looking for the localization of patterns representing various combinations of trinucleotides. We have combined this approach with a statistical analysis based on the frequencies of these patterns. This leads to a decision tree, able to discriminate true and false starts with a recognition level near 90%. Our method may help to precisely localize the beginning of open reading frames, and point to likely mistakes for some genes in the database. The method may be included as a component of a gene recognition system, is not restricted to a particular genome or a two-classes discrimination, and may be applied to a broader class of biological patterns.

Base Sequence↗

Indigo: a World-Wide-Web review of genomes and gene functions.

The present article describes a genome database reviewing gene-related knowledge of two model bacteria, Bacillus subtilis and Escherichia coli. The database, Indigo, is open through the World-Wide Web (http://indigo.genetique.uvsq.fr). The concept used for organising the data, the concept of neighbourhood, allows one to explore the database content in an efficient although somewhat unusual way. Here, genes are related to each other by a variety of neighbourhoods, including proximity in the chromosome, phylogenetic kinship, participation in a common metabolic pathway, common presence in an article of the literature, or similar use of the genetic code. Several examples illustrate how this concept of neighbourhood permits one to review the available knowledge about a given gene or gene family, and elaborate unexpected, but revealing, analyses about gene functions.

Bacillus subtilis↗

Using codon usage to predict genes origin: is the Escherichia coli outer membrane a patchwork of products from different genomes?

Analysis of the codon usage of genes coding for the structural components of the outer membrane in Escherichia coli, is consistent with the requirement for high expression of these genes. Because porins (which constitute the major protein component of the outer membrane), and LPS (which constitute the major outermost constituent of the outer membrane), are synthesized from genes displaying widely different codon usage, it is possible to investigate the origin of the outer membrane. The analysis predicts that the outer membrane might originate from a genome other than the genome coding for the major part of the cell. Such a special origin would explain in structural terms, the likely lethality of porins if they were inadvertently inserted within the inner membrane, giving rise to the Gram-negative bacterial type, having an envelope comprising two membranes, instead of a single cytoplasmic membrane and a murein sacculus.

Bacterial Outer Membrane Proteins↗

SAMBA: hardware accelerator for biological sequence comparison.

MOTIVATION: SAMBA (Systolic Accelerator for Molecular Biological Applications) is a 128 processor hardware accelerator for speeding up the sequence comparison process. The short-term objective is to provide a low-cost board to boost PC or workstation performance on this class of applications. This paper places SAMBA amongst other existing systems and highlights the original features. RESULTS: Real performance obtained from the prototype is demonstrated. For example, a sequence of 300 amino acids is scanned against SWISS-PROT-34 (21 210 389 residues) in 30 s using the Smith and Waterman algorithm. More time-consuming applications, like the bank-to-bank comparison, are computed in a few hours instead of days on standard workstations. Technology allows the prototype to fit onto a single PCI board for plugging into any PC or workstation. AVAILABILITY: SAMBA can be tested on the WEB server at URL http://www.irisa.fr/SAMBA/.

Algorithms↗

Searching for a family of orphan sequences with SAMBA, a parallel hardware dedicated to biological applications.

A significant proportion of coding sequences or open reading frames discovered in the course of sequencing projects do not show any similarity with other sequences deposited with the protein databanks. In such cases the search for similarities must be performed with as many comparison algorithms as possible, so as to increase the chance of finding weak relationships. A specialised parallel hardware (SAMBA) implementing the Smith & Waterman algorithm has been developed at the 'Institut de Recherche en Informatique et Systèmes Aléatoìres' (IRISA). It makes it possible to scan protein databanks at a speed comparable with that of BLAST or FASTA. We report here a study performed with SAMBA on 814 orphan sequences from S cerevisiae and compare the results with those from BLAST and FASTA.

Algorithms↗