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Biomedical subjects

G Fichant

Publications and source records attributed to G Fichant.

2 recordsLinked to original sources

Compositional compartmentalization and gene composition in the genome of vertebrates.

The compositional distribution of coding sequences from five vertebrates (Xenopus, chicken, mouse, rat, and human) is shifted toward higher GC values compared to that of the DNA molecules (in the 35-85-kb size range) isolated from the corresponding genomes. This shift is due to the lower GC levels of intergenic sequences compared to coding sequences. In the cold-blooded vertebrate, the two distributions are similar in that GC-poor genes and GC-poor DNA molecules are largely predominant. In contrast, in the warm-blooded vertebrates, GC-rich genes are largely predominant over GC-poor genes, whereas GC-poor DNA molecules are largely predominant over GC-rich DNA molecules. As a consequence, the genomes of warm-blooded vertebrates show a compositional gradient of gene concentration. The compositional distributions of coding sequences (as well as of DNA molecules) showed remarkable differences between chicken and mammals, and between mouse (or rat) and human. Differences were also detected in the compositional distribution of housekeeping and tissue-specific genes, the former being more abundant among GC-rich genes.

Animals

Statistical method for predicting protein coding regions in nucleic acid sequences.

Protein coding regions of a genome fragment can be mathematically predicted by studying variations in the statistical properties or by searching the signals characteristic of the junctions between the coding and non-coding regions. We propose here a new statistical method using correspondence analysis. This method does not use any reference codon set but takes into account the codon usage homogeneity along the studied genome fragment. Comparison with previously published methods especially the 'codon usage method' of Staden has been made, and two examples are presented here. Applications to analysis of prokaryotic operon and eukaryotic split genes are also discussed. Use of the method has also shown two structures not previously described: i) in the human prt gene, a strong triplet structure exists in a non-coding region; ii) in the human tp-a codon usage is not uniform between the different exons.

Algorithms