SMN-mediated assembly of RNPs: a complex story

Although many RNA-protein complexes or ribonucleoproteins (RNPs) assemble spontaneously in vitro, little is known about how they form in the environment of a living cell. Insight into RNP assembly has come unexpectedly from functional analyses of the survival motor neuron (SMN) protein, a gene product that is affected in the neuromuscular disease spinal muscular atrophy. These studies show that the assembly of spliceosomal U-rich small nuclear RNPs in vivo depends on the activity of two large protein complexes, one of which contains the SMN protein. These complexes might also facilitate the assembly of other cellular RNPs.     

From sequence to consequence and back

The genotype–phenotype relation is at the core of theoretical biology. It is argued why a mathematically based explanatory structure of this relation is in principle possible, and why it has to embrace both sequence to consequence and consequence to sequence phenomena. It is suggested that the primary role of DNA in the chain of causality is that its presence allows a living system to induce perturbations of its own dynamics as a function of its own system state or phenome, i.e. it capacitates living systems to self-transcend beyond those morphogenetic limits that exist for non-living open physical systems in general. Dynamic models bridging genotypes with phenotypic variation in a causally cohesive way are shown to provide explanations of genetic phenomena that go well beyond the explanatory domains of statistically oriented genetics theory construction. A theory originally proposed by Rupert Riedl, which implies that the morphospace that is reachable by the standing genetic variation in a population is quite restricted due to systemic constraints, is shown to provide a foundation for a mathematical conceptualization of numerous evolutionary phenomena associated with the phenotypic consequence to sequence relation. The paper may be considered a call to arms to mathematicians and the mathematically inclined to rise to the challenge of developing new formalisms capable of dealing with the deep defining characteristics of living systems.     

A complex ensemble of cis-regulatory elements controls the expression of a Vicia faba non-storage seed protein gene

We have identified cis-regulatory elements within the 5-upstream region of a Vicia faba non-storage seed protein gene, called usp, by studying the expression of usp-promoter deletion fragments fused to reporter genes in transgenic tobacco seeds. 0.4 kb of usp upstream sequence contain at least six, but probably more, distinct cis-regulatory elements which are responsible for seemingly all quantitative, spatial and temporal aspects of expression. Expression-increasing and-decreasing elements are interspersed and include an AT-rich sequence, a G-box element and a CATGCATG motif. The latter acts as a negative element in contrast to what has been found for the same motif in legumin-and vicilin-type seed storage protein gene promoters. Seed specificity of expression is mainly determined by the –68/+51 region which confers, however, only very low levels of expression. The data support the combinatiorial model of promoter function.     

From disease to development to cell biology and back

Nowadays, the focus of developmental studies is shifting away from formal models of developmental pathways that are characterised by flow charts of controlling factors connected by arrows, to mechanistic models that explain developmental processes at the cellular level. Surprisingly, this shift towards a cellular view of developmental biology is occurring simultaneously across a range of model organisms. One consequence of taking such a cell biological view of development is that many model organisms are now becoming good models for studies of human disease and therapy.     

Evolution of cis-regulatory elements in duplicated genes of yeast

An increasing number of studies report that functional divergence in duplicated genes is accompanied by gene expression changes, although the evolutionary mechanism behind this process remains unclear. Our genomic analysis on the yeast Saccharomyces cerevisiae shows that the number of shared regulatory motifs in the duplicates decreases with evolutionary time, whereas the total number of regulatory motifs remains unchanged. Moreover, genes with numerous paralogs in the yeast genome do not have especially low number of regulatory motifs. These findings indicate that degenerative complementation is not the sole mechanism behind expression divergence in yeast. Moreover, we found some evidence for the action of positive selection on cis-regulatory motifs after gene duplication. These results suggest that the evolution of functional novelty has a substantial role in yeast duplicate gene evolution.     

Dissection of cis-regulatory elements of the Drosophila gene Serrate

 The Drosophila gene Serrate encodes a membrane spanning protein, which is expressed in a complex pattern during embryogenesis and larval stages. Loss of Serrate function leads to larval lethality, which is associated with several morphogenetic defects, including the failure to develop wings and halteres. Serrate has been suggested to act as a short-range signal during wing development. It is required for the induction of the organising centre at the dorsal/ventral compartment boundary, from which growth and patterning of the wing is controlled. In order to understand the regulatory network required to control the spatially and temporally dynamic expression of Serrate, we analysed its cis-regulatory elements by fusing various genomic fragments upstream of the reporter gene lacZ. Enhancer elements reflecting the expression pattern of endogenous Serrate in embryonic and postembryonic tissues could be confined to 26 kb of genomic DNA, including 9 kb of transcribed region. Expression in some embryonic tissues is under the control of multiple enhancers located in the 5’ region and in intron sequences. The data presented here provide the tools to unravel the genetic network which regulates Serrate during different developmental stages in diverse tissues. Received: 27 March 1998 / Accepted: 17 May 1998