Recent advances in modern molecular technology and next-generation sequencing platform have brought in enormous insights into evolution. Although challenges remain, evolutionary research now enters a new era and becomes a hybrid discipline encompassing the fields of molecular biology, genetics and genomics, metabolomics, neuroscience, structural and chemical biology, bioinformatics, proteomics, pharmacology, statistics, and computational biology. The common bond or theme that unifies the various fields is the need to reveal complex genotype-phenotype relationships and their dynamic regulations, attempting to understand the diversifying functionality in life and ultimately find the underlying causes and effective means of treating disease.

The future evolution researchers will need to be well-versed in each of these fields and have the appropriate background to leverage the biological, clinical, and computational resources necessary to understand their data and track dynamic evolution. The communication among these specialty disciplines, acting in unison, will be critical as we strive to uncover answers underlying the complex and often puzzling molecular events in evolution. Articles should focus on molecular advances with evolutionary insights.

Potential topics include, but are not limited to:

• Evolution of signal transduction networks in eukaryotes
• Evolution of gene regulatory circuits across eukaryotic kingdoms
• Evolution of molecular interactions and rewiring in disease
• Environmental selection and adaptive evolution
• Origin of genes and evolution of phenotypes
• Evolution of genetic variants and protein sequences
• De novo genome assembly and gene birth
• Evolution of protein structure and molecular function
• Splice variations and novel gene function derivation
• Accelerated next-generation sequencing technologies and evolutionary applications
• Environmental regulation and epigenetic modulation
• Posttranslational modification and protein plasticity
• Evolution of essential cellular functions
• Mechanisms of sensory perception and circadian clock across model organisms
• Phylogenetic analysis and computational molecular profiling
• Gene expression profiling and evolutionary insights
• Drug repurposing and personalized medicine in evolution
• Fundamental mechanisms of neurodegeneration and synapse formation across model organisms
• Machine learning and integrative approaches for omics-based evolutionary research