Breaking the priority effects facilitates the assembly and colonization of microbiomes toward enhanced petroleum hydrocarbon biodegradation
Ying Zhu, Jufeng Li, Futang Hu, Qihui Hou, Guoqiang Zhuang, Xuliang Zhuang, Maoyong Song, Ilana Kolodkin‐Gal 等 9 位
Chinese Academy of Sciences Research Center for Eco-Environmental Sciences University of Chinese Academy of Sciences China National Petroleum Corporation (China)
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
Priority effects exerted by indigenous microbial communities pose a major ecological barrier to bioremediation, preventing the stable establishment of introduced bioaugmentation strains through niche preemption and modification. Here, we developed a fine-tuned chemical pretreatment strategy to rapidly break the priority effects of indigenous microbiomes, thereby facilitating the targeted assembly and sustainable colonization of functional degraders in total petroleum hydrocarbon (TPH)-contaminated soil. Our results demonstrate that this strategy successfully overcame the priority effects of the indigenous microbiome, increasing the colonization capacity of the introduced degrader, Bacillus velezensis , by 560.43% and achieving a stable TPH removal efficiency of 63.21% without rebound. The intervention expanded the niche breadth of B. velezensis by 54.71% through niche modification, thereby reducing niche occupancy by indigenous microbiomes. Disruption of priority effects further reshaped microbial community assembly, promoting the enrichment of rare indigenous taxa with hydrocarbon-degrading potential, including Providencia and Citrobacter . Metagenomic and metabolic pathway analyses revealed that successful colonization of B. velezensis enhanced metabolic cooperation with indigenous rare degraders, collectively improving the degradation of both alkanes and polycyclic aromatic hydrocarbons. These findings establish a general ecological framework for manipulating microbiome assembly through priority-effect regulation and provide a practical strategy for microbiome engineering across contaminated ecosystems.
逐年被引趋势
暂无年度引用数据
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
物理Microbial bioremediation and biosurfactants
Microbial Community Ecology and Physiology · Environmental Chemistry and Analysis