A framework for evolutionary systems biology

<p>Abstract</p> <p>Background</p> <p>Many difficult problems in evolutionary genomics are related to mutations that have weak effects on fitness, as the consequences of mutations with large effects are often simple to predict. Current systems biology has accumulated much data on mutations with large effects and can predict the properties of knockout mutants in some systems. However experimental methods are too insensitive to observe small effects.</p> <p>Results</p> <p>Here I propose a novel framework that brings together evolutionary theory and current systems biology approaches in order to quantify small effects of mutations and their epistatic interactions <it>in silico</it>. Central to this approach is the definition of fitness correlates that can be computed in some current systems biology models employing the rigorous algorithms that are at the core of much work in computational systems biology. The framework exploits synergies between the realism of such models and the need to understand real systems in evolutionary theory. This framework can address many longstanding topics in evolutionary biology by defining various 'levels' of the adaptive landscape. Addressed topics include the distribution of mutational effects on fitness, as well as the nature of advantageous mutations, epistasis and robustness. Combining corresponding parameter estimates with population genetics models raises the possibility of testing evolutionary hypotheses at a new level of realism.</p> <p>Conclusion</p> <p>EvoSysBio is expected to lead to a more detailed understanding of the fundamental principles of life by combining knowledge about well-known biological systems from several disciplines. This will benefit both evolutionary theory and current systems biology. Understanding robustness by analysing distributions of mutational effects and epistasis is pivotal for drug design, cancer research, responsible genetic engineering in synthetic biology and many other practical applications.</p

Sticks and Stones? Recognising and Optimally Responding to ‘eRage: A Growing Educational Challenge

Demand for online education, which provides students with the ability to study around their work and family commitments, has increased considerably in recent years and is expected to grow further. However, there are key differences between online and on-campus education that give rise to unique and complex challenges for online educators. One potential challenge is apparent greater volatility of online students that can see online educators experience greater levels of instructional dissent. We have termed this phenomenon ‘eRage’—students communicating electronically with staff in a rude, antisocial manner to express disagreement or contradictory opinions regarding classroom issues. This chapter will examine the challenges of online education that could contribute to eRage; briefly examine the literature pertaining to instructional dissent and provide recommendations for online educators to manage this somewhat overlooked and clandestine issue moving forward

Kultivierungseffekte im Gesundheitsbereich

Der Kultivierungsansatz untersucht den langfristigen Einfluss des Fernsehens auf die Realitätsvorstellungen und Einstellungen der Rezipientinnen und Rezipienten. Im vorliegenden Beitrag werden zunächst die Grundannahmen des Ansatzes skizziert und dann ein Überblick über den Forschungsstand zu Kultivierungseffekten im Gesundheitsbereich gegeben. Dabei wird unterschieden nach Studien zum Ärztebild, zu Ernährung und Körperbild, zu Genuss- bzw. Suchtmitteln und zu Krankheiten