Akshit Goyal

This study shows that environmental history influences bacterial growth rates through proteome allocation, often opposing expectations based on nutrient quality.

The paper shows that resource supply dynamics determine whether ecosystems are stable, chaotic, or infeasible, with externally-supplied resources promoting stability.

The paper compares fitness of microbial metabolic strategies in fluctuating environments, finding sequential utilizers gain an advantage in diverse communities.

The paper investigates how nutrient availability affects microbial community diversity and structure through experiments and a consumer-resource model.

The paper integrates ecological interactions into population genetics using dynamical mean-field theory to predict mutation outcomes in complex communities.

The paper shows that diverse microbial communities enable coexistence of closely-related strains through community-mediated feedbacks that equalize and stabilize their dynamics.

The paper shows that nonreciprocal interactions in ecosystems destabilize systems more when they occur between consumers and predators than between consumers and resources, with energy flow explaining this asymmetry.

The paper shows that resource ratio fluctuations drive the evolution of microbial metabolic strategies, with balanced environments favoring specialists and imbalanced ones favoring generalists.

The paper develops a general theory of ecological invasions to predict outcomes and shows that parent-mutant coexistence is common due to ecological feedbacks.

The paper shows that self-inhibition determines stable states in ecosystems, with high-biomass states being more likely due to lower self-inhibition.

The paper resolves May's stability paradox by showing resource diversity stabilizes ecosystems through computer simulations and analytical methods, contradicting May's prediction and highlighting the importance of resource dynamics.

The paper shows that specialized bacteria degrade fucoidans through cooperative interactions, enhancing degradation efficiency by up to 97.1%.

CIPHER uses gene co-fluctuations in unperturbed cells to predict transcriptome-wide responses to perturbations, outperforming existing methods and revealing key regulatory structures.

This paper develops a framework of living circuits using ecosystems as a model, showing that adaptive rules enable phase transitions and near-maximal dissipation in nonequilibrium systems.

This paper proposes a new biosignature for extraterrestrial life based on energy-ordered resource stratification, independent of specific metabolic processes.

The paper introduces a theoretical framework to calculate ecosystem responses to environmental perturbations using geometric transformations in consumer-resource models.

The paper develops a mathematical model showing microbial proteins adapt to maintain redox balance, improving growth by aligning biomass redox state with nutrients.

The paper shows that structured interactions in microbial communities prevent keystone species by enhancing resilience to extinctions in synthetic microcosms.