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解析酸性矿山排水沉积物中微生物代谢相互作用及其对群落动态的影响。

Deciphering microbial metabolic interactions and their implications for community dynamics in acid mine drainage sediments.

机构信息

School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, PR China.

School of Life Sciences, South China Normal University, Guangzhou 510631, PR China.

出版信息

J Hazard Mater. 2024 Oct 5;478:135478. doi: 10.1016/j.jhazmat.2024.135478. Epub 2024 Aug 10.

DOI:10.1016/j.jhazmat.2024.135478
PMID:39137550
Abstract

The microbially-mediated reduction processes have potential for the bioremediation of acid mine drainage (AMD), which represents a worldwide environment problem. However, we know little about the microbial interactions in anaerobic AMD sediments. Here we utilized genome-resolved metagenomics to uncover the nature of cooperative and competitive metabolic interactions in 90 AMD sediments across Southern China. Our analyses recovered well-represented prokaryotic communities through the reconstruction of 2625 population genomes. Functional analyses of these genomes revealed extensive metabolic handoffs which occurred more frequently in nitrogen metabolism than in sulfur metabolism, as well as stable functional redundancy across sediments resulting from populations with low genomic relatedness. Genome-scale metabolic modeling showed that metabolic competition promoted microbial co-occurrence relationships, suggesting that community assembly was dominated by habitat filtering in sediments. Notably, communities colonizing more extreme conditions tended to be highly competitive, which was typically accompanied with increased network complexity but decreased stability of the microbiome. Finally, our results demonstrated that heterotrophic Thermoplasmatota associated with ferric iron and sulfate reduction contributed most to the elevated levels of competition. Our study shed light on the cooperative and competitive metabolisms of microbiome in the hazardous AMD sediments, which may provide preliminary clues for the AMD bioremediation in the future.

摘要

微生物介导的还原过程具有生物修复酸性矿山排水 (AMD) 的潜力,AMD 是一个全球性的环境问题。然而,我们对厌氧 AMD 沉积物中的微生物相互作用知之甚少。在这里,我们利用基因组解析宏基因组学来揭示中国南方 90 个 AMD 沉积物中合作和竞争代谢相互作用的本质。我们的分析通过重建 2625 个人群基因组,回收了表现良好的代表性原核生物群落。对这些基因组的功能分析揭示了广泛的代谢交接,在氮代谢中比在硫代谢中更为频繁,以及由于种群之间基因组亲缘关系较低而导致的沉积物中稳定的功能冗余。基于基因组的代谢模型表明,代谢竞争促进了微生物的共现关系,这表明群落组装主要由沉积物中的栖息地过滤主导。值得注意的是,定殖于更极端条件的群落往往具有很强的竞争力,这通常伴随着网络复杂性的增加,但微生物组的稳定性降低。最后,我们的结果表明,与铁和硫酸盐还原有关的异养 Thermoplasmatota 对竞争水平的提高贡献最大。我们的研究揭示了危险的 AMD 沉积物中微生物组的合作和竞争代谢,这可能为未来的 AMD 生物修复提供初步线索。

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