PRX Life

Analysis of nearly 200 human gut microbiome datasets shows that microbial coexistence is governed by a few effective ecological dimensions, rather than the high-dimensional niches assumed by prevailing theory.

A fundamental tradeoff between metabolic controllability and thermodynamic cost explains how environmental complexity shapes the evolution of cellular currency-metabolite pools.

Physical confinement acts as a control parameter that optimizes protein-free homologous DNA pairing by balancing rapid diffusion-limited search with the avoidance of kinetic trapping.

By mimicking biological brain noise, this work shows that activity-dependent fluctuations drive the emergence of modular architectures in artificial neural networks, improving robustness and generalization.

Increasing the connectivity of a small fraction of components bypasses kinetic bottlenecks, explaining how assembly factors accelerate the self-assembly of large protein complexes.

Motivated by recent experimental observations, a theory combining growth kinetics, diffusion and percolation suggests that negative feedback through monomer depletion explains the coexistence of branched actin networks.

A stochastic population model suggests why natural selection may favor either immediate or strongly delayed reproduction, while making intermediate waiting times less advantageous.

An adapted AlphaFold docking model bypasses sequence alignments to predict protein complexes, successfully resolving structures where traditional co-folding methods fail.

This Roadmap clarifies terminology, core physics, biological roles, and key theoretical, computational, and experimental challenges to guide a coordinated effort toward a predictive understanding and control of biomolecular condensates.

Species-specific oxygen affinities and consumption rates shape the formation of distinct bacterial layers, guiding the dynamic spatial segregation of multispecies communities near air-water interfaces.

A computational model reveals how chromatin condensates can create bistable heterochromatin states, linking molecular interactions, diffusing cofactors, 3D genome organization, and epigenetic memory.

Acoustic trapping offers a contactless way to read the mechanical “fingerprint” of soft biopolymer condensates, revealing how their stiffness shifts with environment.

An automated, scalable workflow quantifies condensate wetting on flat substrates such as supported lipid membranes, enabling systematic analysis of how changes in composition modulate condensate–surface interactions.

Rare chromatin mobility transitions uncover lineage-specific nonequilibrium dynamics of chromatin remodeling in acute lymphoblastic leukemia.

Nonlinear respiratory biomechanics in canaries broaden frequency amplification, mechanically supporting the rapid breathing rates essential for singing.

This Perspective summarizes recent studies on how the humoral immune system learns to target unseen pathogen variants via feedback regulation during a limited number of antigen re-exposures, and outlines key questions at the intersection of statistical physics, machine learning, immunology, and evolutionary biology.