通过机器学习辅助的比较蛋白质组学,在碳消耗期间对Paracoccus denitrificans进行特定阶段的FeS介导调节
Linjun Gao1, Wenyu Wang1, Xuan Huang1
1College of Ecology and Environment, Anhui Normal University, 189 South of Jiuhua Road, Wuhu 241002, China.
Environmental research
|December 27, 2025
概括
像FeS这样的无机电子捐赠者增强了废水脱,特别是当碳稀缺时. 这项研究揭示了FeS如何调节微生物过程以提高治疗效率.
科学领域:
- 环境微生物学 环境微生物学
- 生物技术是生物技术.
- 水处理工程水处理工程
背景情况:
- 低C/N废水对有效的脱化提出了挑战.
- 无机电子捐赠者可以改善微生物脱过程.
- 了解监管机制是优化废水处理的关键.
研究的目的:
- 阐明FeS在碳有限条件下的微生物脱化上的监管机制.
- 研究无机电子捐赠体对脱性能和微生物活性的影响.
- 在碳可用性和耗尽期间识别特定阶段的蛋白质调节模式.
主要方法:
- 结合蛋白质组学,机器学习 (随机森林建模) 和电子转移系统表征的综合战略.
- 监测脱指标 (NO3 - N,NO2 - N,TN) 和电子传输系统活动 (ETSA).
- 微生物样本的电化学分析,形态学和元素分析.
主要成果:
- 添加FeS显著改善了在碳贫乏条件下 (第二阶段) 的脱性能.
- FeS增强了电子传输系统活动和电子交换效率.
- 蛋白质组学揭示了用于碳利用和电子转移的特定阶段蛋白质调动,包括TenA,GtsB,PhaZ,OmpU,UbiH和NarG.
结论:
- 在低C/N废水中,FeS作为维持稳定的脱稳定的关键调节剂,特别是在碳限制下.
- 微生物的代谢策略转向保护和优化电子转移,在碳耗尽过程中添加FeS.
- 调查结果为开发无机电子捐赠者战略提供了洞察力,用于强大的废水处理.
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