生物
使负有责任或义务
适应(眼睛)
基因组
细菌
进化生物学
基因
专性厌氧菌
需氧菌
遗传学
系统发育学
事件(粒子物理)
计算生物学
谱系(遗传)
兼性
遗传多样性
有机体
实验进化
模式生物
基因组
适应性进化
古细菌
厌氧菌
无氧运动
分子进化
基因组学
极端环境
分子钟
生物多样性
表型
生态学
氨基酸取代
极端微生物
生物进化
基因组进化
作者
Tianhua Liao,Shanshan Chen,Sishuo Wang,Y. J. Wendy Huang,Stephen Kwok Wing Tsui,Eva E. Stüeken,Qin Cao,Haiwei Luo
标识
DOI:10.1073/pnas.2515709123
摘要
The transition from anaerobic to aerobic life was a pivotal adaptation in Earth's history, yet the timing and genomic drivers remain poorly resolved. Traditional approaches relying on oxygen-utilizing genes need improvement for obligate anaerobes and fragmentary environmental genomes, where gene absence may reflect poor assembly rather than phenotype. We developed a machine learning model (GBDT40-LR) to predict microbial oxygen requirements using 40 broadly conserved genes, 35 without direct oxygen roles. This approach overcomes incompleteness biases in environmental genomes. Applied to 80,787 bacterial genomes [including metagenome-derived assemblies (MAGs)], the model classified 42,014 aerobes and 38,775 anaerobes, enabling large-scale ancestral reconstruction. Molecular clock dating indicates an emergence of aerobic bacterium prior to the Great Oxidation Event (GOE, 2.5 to 2.3 Ga), likely around ~2.7 Ga. Aerobic lineages subsequently diversified during the GOE and Neoproterozoic Oxygenation Event (NOE, 0.8 to 0.55 Ga), with persistent anaerobe diversity across Earth's oxygenation. This establishes that aerobic bacteria originated planetary oxygenation, potentially by 200 to 400 My, providing insights into phenotypic evolution and prolonged anaerobe-aerobe coexistence.
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