Trans-Acting Genotypes Associated with mRNA Expression Affect Metabolic and Thermal Tolerance Traits.

Evolutionary processes driving physiological trait variation depend on the underlying genomic mechanisms. Evolution of these mechanisms depends on the genetic complexity (involving many genes) and how gene expression impacting the traits is converted to phenotype. Yet, genomic mechanisms that impact physiological traits are diverse and context dependent (e.

Convergence or redundancy: alternative views about the evolutionary genomics of character displacement.

An evolutionary debate contrasts the importance of genetic convergence versus genetic redundancy. In genetic convergence, the same adaptive trait evolves because of similar genetic changes. In genetic redundancy, the adaptive trait evolves using different genetic combinations, and populations might not share the same genetic changes.

Use of Ripple Effects Mapping to assess student-perceived benefits of undergraduate research and learning objective attainment with Irish nutrition students.

Ripple Effects Mapping (REM) is a qualitative data analysis approach that combines mind mapping with inductive analysis to condense data obtained from group interviews. One benefit of REM is the ability to identify unintended outcomes, or "ripples," of the intervention of interest. Ripples are visually represented by a mind map created during the REM session.

Feeling the heat: variation in thermal sensitivity within and among populations.

Physiology defines individual responses to global climate change and species distributions across environments. Physiological responses are driven by temperature on three time scales: acute, acclimatory and evolutionary. Acutely, passive temperature effects often dictate an expected 2-fold increase in metabolic processes for every 10°C change in temperature (Q10).

Sequencing Bait: Nuclear and Mitogenome Assembly of an Abundant Coastal Tropical and Subtropical Fish, Atherinomorus stipes.

Genetic data from nonmodel species can inform ecology and physiology, giving insight into a species' distribution and abundance as well as their responses to changing environments, all of which are important for species conservation and management. Moreover, reduced sequencing costs and improved long-read sequencing technology allows researchers to readily generate genomic resources for nonmodel species. Here, we apply Oxford Nanopore long-read sequencing and low-coverage (∼1x) whole genome short-read sequencing technology (Illumina) to assemble a genome and examine population genetics of an abundant tropical and subtropical fish, the hardhead silverside (Atherinomorus stipes).