An information theory model of hydrophobic interactions.

A molecular model of poorly understood hydrophobic effects is heuristically developed using the methods of information theory. Because primitive hydrophobic effects can be tied to the probability of observing a molecular-sized cavity in the solvent, the probability distribution of the number of solvent centers in a cavity volume is modeled on the basis of the two moments available from the density and radial distribution of oxygen atoms in liquid water. The modeled distribution then yields the probability that no solvent centers are found in the cavity volume. This model is shown to account quantitatively for the central hydrophobic phenomena of cavity formation and association of inert gas solutes. The connection of information theory to statistical thermodynamics provides a basis for clarification of hydrophobic effects. The simplicity and flexibility of the approach suggest that it should permit applications to conformational equilibria of nonpolar solutes and hydrophobic residues in biopolymers.

Toward a plant genomics initiative: Thoughts on the value of cross-species and cross-genera comparisons in the grasses

Comparative genomics offers unparalleled opportunities to integrate historically distinct disciplines, to link disparate biological kingdoms, and to bridge basic and applied science. Cross-species, cross-genera, and cross-kingdom comparisons are proving key to understanding how genes are structured, how gene structure relates to gene function, and how changes in DNA have given rise to the biological diversity on the planet. The application of genomics to the study of crop species offers special opportunities for innovative approaches for combining sequence information with the vast reservoirs of historical information associated with crops and their evolution. The grasses provide a particularly well developed system for the development of tools to facilitate comparative genetic interpretation among members of a diverse and evolutionarily successful family. Rice provides advantages for genomic sequencing because of its small genome and its diploid nature, whereas each of the other grasses provides complementary genetic information that will help extract meaning from the sequence data. Because of the importance of the cereals to the human food chain, developments in this area can lead directly to opportunities for improving the health and productivity of our food systems and for promoting the sustainable use of natural resources.