Back

Spatiotemporal Microbial Ecoevolutionary Dynamics on the International Space Station

Hill, M. S.; Simpson, A. C.; Minnis, V.; Salas Garcia, M. C.; Mahnert, A.; Lax, S.; Rushton, E.; Chung, R.; Bone, D.; Parker, C. W.; Allard, S. M.; Matty, M.; Venkateswaran, K.; Gilbert, J. A.

2025-10-29 microbiology
10.1101/2025.10.28.685245 bioRxiv
Show abstract

This study presents the most comprehensive spatiotemporal analysis of the ISS microbiome to date. Over a seven-year period, 184 surface samples were collected for live/dead metagenomic profiling, phenotypic characterization of antimicrobial resistance (AMR) and virulence among 102 cultured isolates, and metagenome-assembled genome (MAG) analysis to evaluate evolutionary selection pressures. Despite ecological stability, comparative genomics revealed ongoing microevolution through lateral gene transfer and selection for traits (e.g., radiation resistance and biocide tolerance). Importantly, predictions of AMR and virulence frequently misaligned with experimental outcomes, underscoring the need for functional validation. This dataset highlights a stable core microbiome that persists across years, punctuated by localized adaptation and gene flow. The ISS microbiome exemplifies both ecological resilience and microevolutionary innovation that can inform risk management for long-duration spaceflight.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.