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A Galvani

Publications and source records attributed to A Galvani.

15 recordsLinked to original sources

Transgene-mediated post-transcriptional gene silencing is inhibited by 3' non-coding sequences in Paramecium.

Homology-dependent gene silencing is achieved in Paramecium by introduction of gene coding regions into the somatic nucleus at high copy number, resulting in reduced expression of all homologous genes. Although a powerful tool for functional analysis, the relationship of this phenomenon to gene silencing mechanisms in other organisms has remained obscure. We report here experiments using the T4a gene, a member of the trichocyst [corrected]matrix protein (TMP) multigene family encoding secretory proteins, and the ND7 gene, a single copy gene required for exocytotic membrane fusion. Silencing of either gene leads to an exocytosis-deficient phenotype easily scored on individual cells. For each gene we have tested the ability of different combinations of promoter, coding and 3' non-coding regions to provoke silencing, and analyzed transcription and steady-state RNA in the transformed cells. We provide evidence that homology-dependent gene silencing in Paramecium is post-transcriptional and that both sense and antisense RNA are transcribed from the transgenes, consistent with a role for dsRNA in triggering silencing. Constructs with and without promoters induce gene silencing. However, transgenes that contain 3' non-coding regions do not induce gene silencing, despite antisense RNA production. We present a model according to which different pathways of RNA metabolism compete for transcripts and propose that the relative efficiencies of dsRNA formation and of 3' RNA processing of sense transgene transcripts determine the outcome of transformation experiments.

3' Untranslated Regions↗

Genetic interference in protozoa.

RNA interference first described in Caenorhabditis elegans and transgene-induced post-transcriptional gene silencing first described in plants and fungi now appear as different means of activating a conserved and ancient mechanism that can protect genomes against viruses and transposons and perhaps also control expression of endogenous genes. We present here similar genetic interference phenomena in highly divergent protozoa, Trypanosoma and Paramecium, and look ahead to what contribution these microorganisms could bring to this fast-moving area.

Animals↗

Regulation of secretory protein gene expression in paramecium role of the cortical exocytotic sites.

In cells that possess a regulated secretory pathway, exocytosis can lead to transcriptional activation of genes encoding products stored in secretory granules as well as genes required for granule biogenesis. With the objective of understanding this response, we have examined the expression of Paramecium secretory protein genes in different physiological and genetic contexts. The genes belong to the trichocyst matrix protein (TMP) multigene family, encoding polypeptides that form the crystalline matrix of the secretory granules, known as trichocysts. Approximately 1000 trichocysts per cell are docked at pre-formed cortical exocytotic sites. Their rapid and synchronous exocytosis can be triggered by vital secretagogues such as aminoethyldextran without harming the cells. Using this exocytotic trigger, we found that the transcription of TMP genes undergoes rapid, transient and co-ordinate 10-fold activation in response to massive exocytosis, leading to a 2.5-fold increase in the pool of TMP mRNA. Experiments with exocytosis-deficient mutants show that the secretagogue-induced increase in intracellular free calcium implicated in stimulus/secretion coupling is not sufficient to activate TMP gene expression. We present evidence that the state of occupation of the cortical exocytotic sites can affect TMP gene expression and suggest that these sites play a role in gene activation in response to exocytosis.

Animals↗

The effects of host heterogeneity on pathogen population structure.

We have shown that among pathogens, populations may self-organize into strains with non-overlapping repertoires of antigenic variants as a consequence of strong immune selection operating on polymorphic antigens. Recently, we have also demonstrated that over a wide range of intermediate levels of immune selection, pathogens may still be structured into discrete strains, but different sets of non-overlapping pathogen types will replace each other in a cyclical or chaotic manner. These models assume that the ranking of antigens in terms of the strength of the induced immune response is the same for every host. However, host immune responses may be restricted by the genotype of the individual. To explore this issue, a mathematical model was constructed under the assumption that a proportion of the host population responds principally to a variable antigen while the remainder of the population responds principally to a conserved antigen. The results of this analysis indicate that discrete strain structure (DSS) will be maintained even with a high frequency of hosts that do not respond in a variant-specific manner. Furthermore, the range of the immune selection pressure over which DSS prevails is increased (and the region of cyclical or chaotic behaviour reduced) by the inclusion of hosts that respond in a cross-reactive rather than a variant-specific manner.

Animals↗

The effects of mating probability on the population genetics of nematodes.

We review how constraints on the mating probability of female worms by segregation within individual host guts form a critical element in the parasite population structure of nematodes. We consider the effects of these constraints on the population genetics of nematodes under various assumptions regarding worm competition as reflected in the relationship between the abundance of a certain genotype within the gut and the probability of reproductive success. The consequences for the emergence of resistance to drugs and immunotherapy and implications for host-parasite coevolution are discussed. We also review evidence for genetic heterogeneity in parasite populations as a necessary prerequisite for the applicability of mating probability models designed to assess the population genetics of nematodes.

Animals↗