Integrative analysis of a specialized metabolic pathway across multiple non-model species illustrates mechanisms of emergence of chemical novelty in plant metabolism.

The coexistence of ancestral and innovative functions is possible and fosters evolutionary innovation in events involving the acquisition of whole protein domains.

A phylogeny of all major groups of flatworms based on hundreds of genes sheds new light the early evolution of this important metazoan phylum, with particular significance for the original of vertebrate parasitism.

A long-term evolution experiment with Escherichia coli shows that the appearance and optimization of a new trait can require both co-opting existing cellular pathways for new roles and reversing a history of previous adaptation.

The ability to accurately predict a protein's structure gives us an entirely new way to annotate the human genome.

Analysis of chromerid algal genomes reveals how apicomplexans have evolved from free-living algae into successful eukaryotic parasites via massive losses and re-inventing functional roles of genes.

The foundations of genomic complexity in multicellular animals have deep roots in their unicellular prehistory, both in terms of innovations in gene content, as well as the evolutionary dynamics of genome architecture.

An interdisciplinary approach combining high throughput genotype-to-phenotype mapping, population genetic simulations, and experimental evolution provides an answer to the question of how populations evolve new functions by providing tests of the role antagonistic coevolution plays in pressuring populations to innovate.

Genetic, phenotypic, and evolutionary analysis of a clinical isolate provides an explanation of the intricate genetic factors behind non-carbapenemase carbapenem resistance and sheds light on the evolutionary mechanisms that influence the molecular basis of antibiotic resistance.

Protein language deep learning models can quickly and accurately translate amino acid sequences into profile hidden Markov models or a structure alphabet, dramatically improving remote homology search sensitivity without compromising space or time efficiency.