Bees (Hymenoptera: Apoidea: Anthophila) provide a rich system for exploring the evolutionary consequences of a wide variety of life history characteristics.
As alternative sigma factors, such as σB, are known to play critical roles in gene regulation across bacterial genera [ 33], we used L. monocytogenes 10403S and an isogenic Δ sigB null mutant as a model system for exploring the use of RNA-Seq, in combination with in silico analyses, for characterization of transcriptional blueprints associated with bacterial regulatory elements.
Okanagan Lake kokanee (Oncorhynchus nerka) presents a promising system for exploring the genetic basis of adaptation within a management context.
Although profiling the entire progeny erases accession particularities and highlights general trends of the species, the presence within our progeny of genotypes displaying contrasting fructose-to-glucose ratios offers a useful system for exploring sugar metabolism in the case of a major perturbation in the fructose amount.
While the majority of this work has focused on neocortical and hippocampal circuits, the olfactory system may offer unique advantages as a model system for exploring sleep and memory, given the short, non-thalamic pathway from nose to primary olfactory (piriform cortex), and rapid cortex-dependent odor learning.
Consequently, mouse apoE provides a suitable system for exploring the role of the stability of the entire protein molecule.
As a complement to the study of natural proteins, synthetic peptides have the potential to be a powerful system for exploring hydrophobicity-driven assembly.
We use here the archaeal superkingdom as a model system for exploring the emergence and molecular evolution of the protein function.
Moreover, since zebrafish do not require either imprinting of genes or sex chromosomes for viability, as is the case in mammals, they provide a simplified system for exploring the roles of DNA methylation in vertebrate development.
As the genetic basis of lysis is well studied and apparently simple for many phages, lysis time is an ideal system for exploring how optimality interacts with genetic details in a life history trait.
