Our latest Special Issue brings together research covering many different aspects of the impact of the COVID-19 pandemic on cancer outcomes across the globe.

Mutations that affect a metabolic network generically exhibit epistasis, which propagates to higher level phenotypes, such as fitness, carrying some information about the network’s topology.

Bacterial CRISPR immunity tracks phage mutations, creating immune diversity in bacterial populations that parallels phage genetic diversity and patterns of phage evolution that are determined by the type and degree of immune cross-reactivity in the CRISPR system.

A common genomic deletion in various human cancers disrupts mitochondrial protein homeostasis in a way that might be targeted by existing drugs.

A shift in fitness optimum of a polygenic trait rapidly introduces small frequency differences between alleles with effects aligned with and opposing the shift, which gradually translate into small differences in fixation probability.

Computational modeling demonstrates that population dynamics of neural calcium activity following stimulus offset are consistent with a network mechanism based on recurrent interactions.

Synaptic modulations alone imbue networks with computational capabilities comparable to recurrent connections on several neuroscience-relevant tasks, which manifest in fundamentally different neuronal dynamics.

For many bacterial species, recombination dominates genome evolution and phylogenetic patterns that have so far been assumed to reflect clonal relationships, in fact reflect variation in recombination rates across lineages.