Austin H Patton, Emilie J Richards ... Christopher H Martin
Hybridization not only generates genetic diversity, but this diversity can alter the shape of the fitness landscape, changing which genotypic combinations are favored by natural selection and which accessible genotypic paths lead to novel fitness peaks.
Adaptational tradeoffs constrain the evolutionary pathways towards antimicrobial resistance, but highly fit mutants are nevertheless likely to arise at any concentration of the drug.
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.
The extra dimensions in protein sequence space open up indirect paths of adaptation and alleviate the constraint on the selective accessibility to high fitness genotypes.
A unified framework for cell lineage statistics enables quantification of fitness landscapes and selection strength for any cellular lineage traits in a model-independent manner, and reveals the contributions of growth heterogeneity to population growth in diverse experimental model systems.
Comprehensive mutational scanning of the SARS-CoV-2 protease, Mpro, provides functional and structural information to aid in the design of more effective inhibitors against the protease with reduced potential of evolving viral resistance.
Rafael F Guerrero, Tandin Dorji ... C Brandon Ogbunugafor
Inspired by notions of 'druggability' from medicinal chemistry, two new metrics, drug applicability and variant vulnerability, utilize evolutionary perspectives and methods to improve attempts to treat infectious diseases.
Chemical perturbation-dependent deep mutational scanning data collected by a lab-based interdisciplinary graduate class resolves a paradox between the high evolution conservation and the high mutational tolerance of the protein ubiquitin.
