Genomewide analysis of the host response to malaria in Kenyan children.

Malaria is a global problem, and there is a critical need for further understanding of the disease process. When malarial parasites invade and develop within the bloodstream, they stimulate a profound host response whose main clinical sign is fever. To explore this response, we measured host gene expression in whole blood from Kenyan children hospitalized with either acute malaria or other febrile illnesses. Genomewide analysis of expression identified 2 principal gene-expression profiles related to neutrophil and erythroid activity. In addition to these general acute responses, a third gene-expression profile was associated with host parasitemia; mediators of erythrophagocytosis and cellular stress were notable components of this response. The delineation of subjects on the basis of patterns of gene expression provides a molecular perspective of the host response to malaria and further functional insight into the underlying processes of pathogenesis.

Pigmentation pattern formation in butterflies: experiments and models.

Butterfly pigmentation patterns are one of the most spectacular and vivid examples of pattern formation in biology. They have attracted much attention from experimentalists and theoreticians, who have tried to understand the underlying genetic, chemical and physical processes that lead to patterning. In this paper, we present a brief review of this field by first considering the generation of the localised, eyespot, patterns and then the formation of more globally controlled patterns. We present some new results applied to pattern formation on the wing of the mimetic butterfly Papilio dardanus.

A numerical approach to the study of spatial pattern formation in the ligaments of arcoid bivalves.

In this paper, we employ the novel application of a reaction-diffusion model on a growing domain to examine growth patterns of the ligaments of arcoid bivalves (marine molluscs) using realistic growth functions. Solving the equations via a novel use of the finite element method on a moving mesh, we show how a reaction-diffusion model can mimic a number of different ligament growth patterns with modest changes in the parameters. Our results imply the existence of a common mode of ligament pattern formation throughout the Arcoida. Consequently, arcoids that share a particular pattern cannot be assumed, on this basis alone, to share an immediate common ancestry. Strikingly different patterns within the set can easily be generated by the same developmental program. We further show how the model can be used to make quantitatively testable predictions with biological implications.