Francisco Bosco

Learn More
A study was carried out to assess the behaviour, in terms of strain survival and genetic stability, of genetically modified micro-organisms (GEMs) during their storage in commercial-type agricultural inoculants. Three genetically modified Rhizobium leguminosarum biovar viciae strains were constructed, using a gene cassette containing an inducible lacZ gene(More)
Since the foundations of Population Genetics the notion of genetic equilibrium (in close analogy with Classical Mechanics) has been associated with the Hardy-Weinberg (HW) principle and the identification of equilibrium is currently assumed by stating that the HW axioms are valid if appropriate values of χ(2) (p < 0.05) are observed in experiments. Here we(More)
The analysis of transcriptional temporal noise could be an interesting means to study gene expression dynamics and stochasticity in eukaryotes. To study the statistical distributions of temporal noise in the eukaryotic model system Saccharomyces cerevisiae, we analyzed microarray data corresponding to one cell cycle for 6200 genes. We found that the(More)
In this paper, we revisit and adapt to viral evolution an approach based on the theory of branching process advanced by Demetrius et al. (Bull. Math. Biol. 46:239-262, 1985), in their study of polynucleotide evolution. By taking into account beneficial effects, we obtain a non-trivial multivariate generalization of their single-type branching process model.(More)
In the present work we analyze the problem of adaptation and evolution of RNA virus populations, by defining the basic stochastic model as a multivariate branching process in close relation with the branching process advanced by Demetrius, Schuster and Sigmund (“Polynucleotide evolution and branching processes”, Bull. Math. Biol. 46 (1985) 239-262), in(More)
Here we show that the transcriptional noise is an emergent property with scale invariance from genome level to the level of small Transcriptional Regulatory Genetic Networks (TRGN). We show that a small set of 9-12 genes reproduces the geometric mean value of transcriptional noise of the largest percolating networks and the whole 93-gene wide TRGN(More)
In this work we propose a model for gene expression based on the theory of random dynamical systems (RDS) and show that it has a"modularity property"in the following sense: given any collection of genes that are linked in a transcriptional network, if each of them is individually described by a certain class of RDS then there is a natural, and essentially(More)
Gene expression "noise" is commonly defined as the stochastic variation of gene expression levels in different cells of the same population under identical growth conditions. Here, we tested whether this "noise" is amplified with time, as a consequence of decoherence in global gene expression profiles (genome-wide microarrays) of synchronized cells. The(More)
  • 1