Plant model systems have contributed greatly to the dramatic progress in understanding the fundamental aspects of plant biology. Using model weeds will also help facilitate focused funding and research in the weed science community. Criteria for developing model weeds require attention to weedy characteristics that impart economic losses and a wide geographic distribution, attributes that present the potential for political and scientific support. Expressed sequence tag (EST) databases for model weeds are the most practical approach to identifying new genes and obtaining data on the gene expression underlying weedy characteristics. Weeds such as Canada thistle, eastern black nightshade, johnsongrass, jointed goatgrass, leafy spurge, waterhemp, and weedy rice are proposed as model systems.

There has been a recent shift in the literature on mosquito/Plasmodium interactions with an increasingly large number of theoretical and experimental studies focusing on their population biology and evolutionary processes. Ecological immunology of mosquito-malaria interactions – the study of the mechanisms and function of mosquito immune responses to Plasmodium in their ecological and evolutionary context – is particularly important for our understanding of malaria transmission and how to control it. Indeed, describing the processes that create and maintain variation in mosquito immune responses and parasite virulence in natural populations may be as important to this endeavor as describing the immune responses themselves. For historical reasons, Ecological Immunology still largely relies on studies based on non-natural model systems. There are many reasons why current research should favour studies conducted closer to the field and more realistic experimental systems whenever possible. As a result, a number of researchers have raised concerns over the use of artificial host-parasite associations to generate inferences about population-level processes. Here I discuss and review several lines of evidence that, I believe, best illustrate and summarize the limitations of inferences generated using non-natural model systems.

The ability of colloids to self-organize through a minimization of their free energy is a direct consequence of their well-defined thermodynamic temperature that manifests itself through the Brownian motion they perform. In this article, it will be shown that through the use of external fields such as electric and magnetic fields, gravity, structured or confining walls, and shear, this self-organization can be directed to make new advanced materials. Moreover, a start has been made toward colloidal model systems to study fundamental questions relating to materials science such as defect structure and dynamics, grain boundaries, wall and confinement effects, and tribology. Finally, we predict that the enhanced insights on how to use external fields will also lead to “smart” materials with properties that can be changed dynamically.

We have just emerged from “the Decade of the Brain”, yet in so many ways it was the “Decade of the Genome”. What relevance does the remarkable advance in knowledge in genetics and neuroscience over that period have to our understanding of child psychopathology? When the complexity of the genetic systems involved in behavioural regulation of relatively simple organisms such as the nematode worm Caenorhabditis elegans or the fruitfly Drosophila melanogaster is considered, the possibility of comprehending the links from genes to behaviour in the developing child seems remote. Yet, the principles of investigation in model systems are not so different to those that should apply in humans. This review draws out the parallels, and introduces recent findings from behavioural studies of C. elegans, D. melanogaster, and the laboratory mouse, as well as humans, to illustrate the point.