W. Shou

A quantitative genetics framework for understanding the selection response of microbial communities

The paper develops a quantitative genetics framework to analyze selection response in microbial communities, showing heritability alone cannot predict success due to nonlinearities and evolutionary dynamics.

When is an auxotroph not an auxotroph: how budding yeast lacking MET17 collectively overcome their metabolic defect

The paper shows that met17 mutants in S. cerevisiae can grow on sulfate at high cell densities due to hydrogen sulfide accumulation and the role of Hsu1 in sulfide assimilation.

Rafting a waterfall: Artificial selection for collective composition can succeed or fail depending on the initial and target values

This paper shows that artificial selection of microbial collectives can succeed or fail based on initial and target frequencies, with intermediate targets being hardest to achieve.

Integrated transcriptome and lineage analyses reveal novel catecholaminergic cardiomyocytes contributing to the cardiac conduction system in murine heart

This study identifies a novel catecholaminergic cardiomyocyte population expressing Dbh that contributes to the murine cardiac conduction system through transcriptomic, genetic, and optogenetic analyses.

Molecular mechanism of the anti-lung cancer effect of Jin Ning Fang based on network pharmacology and experimental verification

This paper identifies the molecular mechanism of Jin Ning Fang's anti-lung cancer effect using network pharmacology and experimental validation, revealing key targets and compounds involved.

Steering ecological-evolutionary dynamics during artificial selection of microbial communities

The paper uses simulations to study how artificial selection can improve microbial community function by modifying ecological interactions to enhance heritability and selection efficacy.

Pleiotropic win-win mutations can rapidly evolve in a nascent cooperative community despite unfavorable conditions

The paper shows that pleiotropic 'win-win' mutations can evolve rapidly in cooperative yeast communities even under unfavorable conditions by improving both self and partner fitness.

Genome-wide Studies Reveal the Essential and Opposite Roles of ARID1A in Controlling Human Cardiogenesis and Neurogenesis from Pluripotent Stem Cells

This study shows ARID1A has opposite roles in promoting neural differentiation and suppressing cardiac differentiation from human pluripotent stem cells.

Metabolic excretion associated with nutrient-growth dysregulation promotes the rapid evolution of an overt metabolic defect

The paper shows that nutrient-growth dysregulation in yeast leads to the evolution of a metabolic defect involving organosulfur release, which confers a fitness advantage under specific conditions.

Simulations reveal challenges to artificial community selection and possible strategies for success

The paper simulates artificial community selection in two-species microbial communities and finds that stochastic fluctuations hinder function improvement, but cell sorting can enable successful selection.

Disentangling strictly self-serving mutations from win-win mutations in a mutualistic microbial community

The paper shows that a mutation increasing hypoxanthine release in yeast was mistakenly thought to be win-win but is actually self-serving due to increased cell size and lysine consumption.

Microbial coexistence through chemical-mediated interactions

This study shows that chemical-mediated interactions, particularly growth-facilitating influences and self-restraint, promote microbial coexistence in communities.

Resolving challenges in quantitative modeling of microbial community dynamics

The paper identifies and resolves challenges in modeling microbial community dynamics by re-measuring strain phenotypes in community-like environments.

Microscopy quantification of microbial birth and death dynamics

This study uses time-lapse microscopy to quantify birth and death rates of yeast mutants in different metabolite concentrations, revealing non-intuitive dynamics better modeled by the Moser model.

Developing a low-cost milliliter-scale chemostat array for precise control of cellular growth

The paper develops a low-cost chemostat array for precise control of cellular growth without expensive feedback systems, achieving high flow rate accuracy and precision.