Search PubMedSearch

Biomedical subjects

F Corpet

Publications and source records attributed to F Corpet.

3 recordsLinked to original sources

Minimum antibiotic levels for selecting a resistance plasmid in a gnotobiotic animal model.

The minimum antibiotic concentrations for selecting an R plasmid in vivo were determined in germfree mice colonized by two isogenic strains of Escherichia coli, one of which carried an R plasmid. Seventy groups of three gnotobiotic mice were given low doses of ampicillin, colistin, flumequin, gentamicin, tetracycline, or streptomycin via drinking water for 2 weeks. The equilibrium between susceptible and resistant populations of bacteria was monitored daily in feces and compared with that of control mice given pure water. This model yielded reproducible data, and dose and response were strongly correlated. The minimum selecting doses ranged from 0.9 to 12.8 micrograms/ml of water, depending on the antibiotic and the R plasmid. The use of mathematical models and complementary in vitro experiments accounted for the effect of the low antibiotic levels.

Animals

Multiple sequence alignment with hierarchical clustering.

An algorithm is presented for the multiple alignment of sequences, either proteins or nucleic acids, that is both accurate and easy to use on microcomputers. The approach is based on the conventional dynamic-programming method of pairwise alignment. Initially, a hierarchical clustering of the sequences is performed using the matrix of the pairwise alignment scores. The closest sequences are aligned creating groups of aligned sequences. Then close groups are aligned until all sequences are aligned in one group. The pairwise alignments included in the multiple alignment form a new matrix that is used to produce a hierarchical clustering. If it is different from the first one, iteration of the process can be performed. The method is illustrated by an example: a global alignment of 39 sequences of cytochrome c.

Algorithms

Statistical decision rules concerning synteny or independence between markers.

Data on the segregation of human markers in somatic hybrids between permanent rodent cell lines and primary human cells were gathered and statistically analyzed, using various criteria of association. The analysis provides evidence that human chromosomes do not segregate independently in somatic cell hybrids. A statistical decision rule concerning synteny or independence between markers is proposed, and its utility in developing the gene maps of other species by means of somatic cell hybridization is explored.

Animals