极端环境
微生物群
生物
基因组
计算生物学
进化生物学
系统发育多样性
系统发育树
药物发现
系统发育学
基因组
基因
资源(消歧)
人体微生物群
多样性(政治)
微生物遗传学
抗菌剂
遗传多样性
基因簇
人类微生物组计划
生物技术
生物多样性
门
微生物生态学
星团(航天器)
微生物
遗传学
生态学
生物信息学
基因组学
数据科学
全球地图
基因注释
微生物种群生物学
细菌基因组大小
肠道微生物群
作者
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 Stanojevic,Lingqin Wang,Suwan Wang,Haixian Cheng,Jiani Li,Rouxi Chen,Yong Zhang,Yuxiang Li
标识
DOI:10.1038/s41467-026-71145-0
摘要
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.