An ensemble binning approach to identify functional diversity in cleanroom environments

Cleanroom environments, crucial for spacecraft assembly, are subject to stringent sterilization protocols to minimize microbial contamination. However, tolerant microbes can persist and pose a potential risk for planetary protection. This study employs an ensemble binning approach, integrating multiple metagenome binning programs, to analyse published metagenomic datasets generated from NASA cleanrooms to investigate functional diversity within cleanrooms. Twenty-six medium and high-quality, non-redundant metagenome-assembled genomes (MAGs) spanning six bacterial phyla were generated. Functional analysis of these MAGs identified potential metabolic pathways for the degradation of commonly used cleaning agents, suggesting that these compounds could serve as carbon sources. Furthermore, genomic analyses identified diverse physiological tolerances, with many MAGs possessing polyextremophilic traits, including resistance to high salinity, temperature and alkalinity. Growth rate index (GRiD) analysis also suggested some MAGs were actively replicating within the cleanroom environments. This study demonstrates the power of ensemble binning in revealing the functional diversity and adaptive strategies of cleanroom microbiomes and provides critical insights for refining planetary protection protocols. This article is part of the theme issue 'Planetary Protection for sustainable space exploration'.

Authors

Institutions

Publication Details

Journal
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
Published
2026-02-12
DOI
https://doi.org/10.1098/rsta.2024.0438
Primary Topic
Microbial Community Ecology and Physiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An ensemble binning approach to identify functional diversity in cleanroom environments

Ezgi Kucukkilic-Stephens, Ben Stephens, Michael Christopher Macey, Alexander Mahnert et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
Microbial Community Ecology and Physiology
article

An ensemble binning approach to identify functional diversity in cleanroom environments

Ezgi Kucukkilic-Stephens, Ben Stephens, Michael Christopher Macey, Alexander Mahnert, Karen Olsson-Francis
article en

Abstract

Cleanroom environments, crucial for spacecraft assembly, are subject to stringent sterilization protocols to minimize microbial contamination. However, tolerant microbes can persist and pose a potential risk for planetary protection. This study employs an ensemble binning approach, integrating multiple metagenome binning programs, to analyse published metagenomic datasets generated from NASA cleanrooms to investigate functional diversity within cleanrooms. Twenty-six medium and high-quality, non-redundant metagenome-assembled genomes (MAGs) spanning six bacterial phyla were generated. Functional analysis of these MAGs identified potential metabolic pathways for the degradation of commonly used cleaning agents, suggesting that these compounds could serve as carbon sources. Furthermore, genomic analyses identified diverse physiological tolerances, with many MAGs possessing polyextremophilic traits, including resistance to high salinity, temperature and alkalinity. Growth rate index (GRiD) analysis also suggested some MAGs were actively replicating within the cleanroom environments. This study demonstrates the power of ensemble binning in revealing the functional diversity and adaptive strategies of cleanroom microbiomes and provides critical insights for refining planetary protection protocols. This article is part of the theme issue 'Planetary Protection for sustainable space exploration'.

Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering SciencesVol. 384(2314)
Medical University of Graz (AT), The Open University of Japan (JP)
Openalex Percentile: Top 63%
Microbial Community Ecology and Physiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.