Genome-resolved metagenomics reveals depth-related patterns of microbial community structure and functions in a highly stratified, AMD overlaying mine tailings
Genome-resolved metagenomics reveals depth-related patterns of microbial community structure and functions in a highly stratified, AMD overlaying mine tailings
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基因组解析的宏基因组学揭示了高度分层、AMD 覆盖尾矿中微生物群落结构和功能的深度相关模式
DOI：
10.1016/j.jhazmat.2023.130774
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发表时间：
--
影响因子：
13.6
通讯作者：
Li-Nan Huang
中科院分区：
文献类型：
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作者：
Zhen-Hao Luo;Qi Li;Nan Chen;Ling-Yun Tang;Bin Liao;Tao-Tao Yang;Li-Nan Huang
矿山酸性废水是一个世界性的环境问题，但由于对矿山酸性废水生态系统中还原性微生物过程的了解有限，生物修复受到阻碍。在这里，我们生成了广泛的宏基因组和地球化学数据集，以研究微生物种群和代谢能力驱动主要元素循环是如何在高度分层的AMD覆盖尾矿环境中构建的。结果表明，一个明确的深度依赖性分化的微生物群落组成和功能剖面之间的表面和更深的尾矿层，平行的重大物理和地球化学性质的巨大变化。具体而言，参与硫和铁氧化的关键基因在表层尾矿中显著富集，而与还原性氮，硫和铁过程相关的基因在更深层富集。基因组解析宏基因组学检索到406个中间或高质量基因组，跨越26个门，包括主要新组（例如，Patescibacteria和DPANN）。基于丰富的微生物基因组的功能潜力，提出了涉及氮、硫、铁和碳循环的代谢模型，强调了合成营养和鲜为人知的类群在复杂碳化合物降解中的重要性。这些结果对原位AMD生物修复具有一定的意义。
Acid mine drainage (AMD) is a worldwide environmental problem, yet bioremediation is hampered by a limited knowledge of the reductive microbial processes in the AMD ecosystem. Here, we generate extensive metagenome and geochemical datasets to investigate how microbial populations and metabolic capacities driving major element cycles are structured in a highly stratified, AMD overlaying tailings environment. The results demonstrated an explicit depth-dependent differentiation of microbial community composition and function profiles between the surface and deeper tailings layers, paralleling the dramatic shifts in major physical and geochemical properties. Specifically, key genes involved in sulfur and iron oxidation were significantly enriched in the surface tailings, whereas those associated with reductive nitrogen, sulfur, and iron processes were enriched in the deeper layers. Genome-resolved metagenomics retrieved 406 intermediate or high-quality genomes spanning 26 phyla, including major new groups (e.g.,Patescibacteriaand DPANN). Metabolic models involving nitrogen, sulfur, iron, and carbon cycles were proposed based on the functional potentials of the abundant microbial genomes, emphasizing syntrophy and the importance of lesser-known taxa in the degradation of complex carbon compounds. These results have implications for in situ AMD bioremediation.