A novel computation tool for microbial community modeling predicts the evolution and diversification of E. coli in laboratory evolution experiments and gives insight into the underlying metabolic processes.

A mathematical model predicts the precise conditions for natural selection to favor the evolution of non-reproductive workers in insect colonies with haplodiploid genetics.

A mathematical modelling approach to understanding zebrafish stripe pattern formation exemplifies a biological rule-set sufficient to generate wild-type and a diverse range of mutant patterns.

Contractility wins over the polarity pathway in a tug-of-war to position a cytokinesis-like actomyosin ring at the equator of notochord cells.

Theoretical ideas have a rich history in many areas of biology, and new theories and mathematical models have much to offer in the future.

The human immunodeficiency virus HIV-1 primarily spreads between cells using a method called cell-to-cell infection, suggesting that this process may be a target for anti-viral drugs.

Stochasticity introduced computationally into a gene expression oscillator creates heterogeneity in the time of differentiation of identical cells and offers robustness to the progenitor state and the outcome of cell division.

A synthetic quadrastable gene network provides a synthetic biology framework to study cell fate determination.

A stochastic model of phyllotaxis can explain the striking irregularities observed in the spiral patterns of plants and predicts that perturbation patterns provide key information about the underlying biochemical mechanisms.

Predictable patterns of fitness evolution observed in microbial evolution experiments can emerge generically as a consequence of widespread epistatic interactions between mutations.