Machine learning algorithm to characterize antimicrobial resistance associated with the International Space Station surface microbiome

  12 February 2022

Antimicrobial Resistance (AMR) has a detrimental impact on human health on Earth and it is equally concerning in other environments such as space due to microgravity, radiation and confinement, especially for long-distance space travel. The International Space Station (ISS) is ideal for investigating microbial diversity and virulence. The shotgun metagenomics data of the ISS generated during the Microbial Tracking – 1 (MT-1) project and resulting metagenome-assembled genomes (MAGs) across three flights in eight different locations during 12 months were used in this study. The objective of this study was to identify the AMR genes associated with whole genomes of 227 cultivable strains, 21 shotgun metagenome sequences, and 24 MAGs retrieved from the ISS environmental samples that were treated with propidium monoazide (PMA; viable microbes).

Further reading: BioRxiv
Author(s): Pedro Madrigal et al
Smart Innovations  


Unrestricted financial support by:


Antimicrobial Resistance Fighter Coalition

Bangalore Bioinnovation Centre


Ambassador Network

Join the AMR Insights Ambassador Network today!

Connect to over 550 AMR professionals and students in 60 countries!

More information
What is going on with AMR?
Stay tuned with remarkable global AMR news and developments!
Popup Plugin