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Johansen, H. K.

Publications and source records attributed to Johansen, H. K..

2 recordsLinked to original sources

Privatisation rescues function following loss of cooperation

A single cheating mutant can lead to the invasion and eventual eradication of cooperation from a population. Consequently, cheat invasion is often considered as \"game over\" in empirical and theoretical studies of cooperator-cheat dynamics, especially when cooperation is necessary for fulfilling an essential function. But is cheat invasion necessarily \"game over\" in nature? By following a population of bacteria through loss of cooperation and beyond, we observed that individuals evolved to replace cooperation with a selfish, or \"private\" behaviour. Specifically, we show that when cheating caused the loss of cooperative iron acquisition in a collection of Pseudomonas aeruginosa isolates from cystic fibrosis patients, a private uptake system that only benefits the focal individual was upregulated. This observation highlights the importance of social dynamics of natural populations and emphasizes the potential impact of past social interaction on the evolution of private traits.

evolutionary biology

Evolutionary highways to persistent infection by Pseudomonas aeruginosa

Persistent infections require bacteria to evolve from their naive colonization state by optimizing fitness in the host. This optimization involves coordinated adaptation of multiple traits, obscuring evolutionary trends and complicating infection management. Accordingly, we screen 8 infection-relevant phenotypes of 443 longitudinal Pseudomonas aeruginosa isolates from 39 young cystic fibrosis patients over 10 years. Using statistical modeling, we map evolutionary trajectories and identify trait correlations accounting for patient-specific influences. By integrating previous genetic analyses of 474 isolates, we provide a window into early adaptation to the host, finding: 1) a 2-3 year timeline of rapid adaptation after colonization, 2) variant \"naive\" and \"adapted\" states reflecting discordance between phenotypic and genetic adaptation, 3) adaptive trajectories leading to persistent infection via 3 distinct evolutionary modes, and 4) new associations between phenotypes and pathoadaptive mutations. Ultimately, we effectively deconvolute complex trait adaptation, offering a framework for evolutionary studies and precision medicine in clinical microbiology.

evolutionary biology