The Extreme Environment Microbiome Catalog (EEMC): a global resource for microbial diversity and antimicrobial discovery
Abstract
Abstract Microorganisms in extreme environments represent a promising source of novel metabolites, yet their global diversity and biosynthetic potential remain underexplored. Here, we reconstruct 78,213 bacterial and archaeal genomes from 2293 publicly available metagenomes and 3214 microbial isolates to establish a unified database, the Extreme Environment Microbiome Catalog (EEMC). The EEMC expands known global phylogenetic diversity, encompassing 32,715 representative species and nearly 4 billion non-redundant genes, 63.00% and 19.21% of which are previously unannotated, respectively. It also comprises 163,693 biosynthetic gene clusters, grouped into 64,733 gene cluster families, 58.68% of which are classified as novel, underscoring the functional diversity of microbial communities across various extreme habitats. We further develop protein large language models to predict genome-encoded candidate antimicrobial peptides (cAMPs) from the EEMC, identifying 3032 non-toxic candidates. Of 100 synthesized peptides, 84% demonstrate antibacterial activity, and all 50 tested cAMPs exhibit low cytotoxicity. Notably, six of the most potent cAMPs show significant efficacy against multidrug-resistant, Gram-negative pathogens in vitro, indicating their biomedical potential. Together, our study establishes the EEMC as a foundational resource for uncovering novel microbial lineages and biosynthetic capabilities, highlighting its substantial potential for drug discovery and laying the foundation for future advances in biotechnology and biomedicine.
Article Details
Authors (26)
Puzi Jiang
Zhengjiao Liang
Vladimir Kovacevic
Jingya Shi
Nikola Milicevic
Feng Wang
Lin Liu
Yue Liu
Yunjiang Jiang
Mo Han
Xiaonan Lin
Časlav Petronić
Nikola Stanojević
Lingqin Wang
Suwan Wang
Haixian Cheng
Jiani Li
Department of Chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive 4, Singapore 117585, Singapore
Rouxi Chen
Yong Zhang
Yuxiang Li
Junhua Li
State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment
Xiaodong Fang
BGI Research, Hangzhou, China.
Zhen Yue
Chuang Xue
Peng Yin
Wyss Institute of Biologically Inspired Engineering
Haixin Chen