Building Bridges from Genome to Physiology Using Machine Learning and Experimental Evolution.

experimental evolution, with its well-defined selection protocols, has long supplied useful genetic material for the analysis of functional physiology. While there is a long tradition of interpreting the effects of large-effect mutants physiologically, identifying and interpreting gene-to-phenotype relationships has been challenging in the genomic era, with many labs not resolving how physiological traits are affected by multiple genes throughout the genome. experimental evolution has demonstrated that multiple phenotypes change because of the evolution of many loci across the genome, creating the scientific challenge of sifting out differentiated but noncausal loci for individual characters.

The kinematics of directional control in the fast start of zebrafish larvae.

Larval fish use the 'fast start' escape response to rapidly evade the strike of a predator with a three-dimensional (3D) maneuver. Although this behavior is essential for the survival of fishes, it is not clear how its motion is controlled by the motor system of a larval fish. As a basis for understanding this control, we measured the high-speed kinematics of the body of zebrafish (Danio rerio) larvae when executing the fast start in a variety of directions.

An epidemic of acute postinfectious glomerulonephritis in Armenia.

Aim: To evaluate the presentation and course of acute postinfectious glomerulonephritis (APGN), which has increased dramatically in Armenia after serious deterioration in the living conditions.

Study Design: Observational study, based on case notes, of a large homogeneous group of patients hospitalised for APGN at one centre over a five year period (1992-6).

Patients: 474 patients aged < 16 years with a diagnosis of APGN.