钨矿盆地尾矿微生物群落概况及其功能预测。,Scientific Reports

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钨矿盆地尾矿微生物群落概况及其功能预测。
Scientific Reports ( IF 3.8 ) Pub Date : 2019-12-20 , DOI: 10.1038/s41598-019-55706-6
Ana Paula Chung ₁ , Carina Coimbra ₁ , Pedro Farias ₁ , Romeu Francisco ₁ , Rita Branco ₁ , Francisco V Simão _{2,

3} , Elsa Gomes ₂ , Alcides Pereira ₂ , Maria C Vila ₄ , António Fiúza ₄ , Martin S Mortensen ₅ , Søren J Sørensen ₅ , Paula V Morais ₁

Affiliation

在循环经济概念中，每年产生超过3亿吨的采矿和采石废料，这些废料是宝贵的资源，如果采用创新的方法和有效提取这些元素的方法，则可以提供今天通过其他方法提取的金属。这项工作旨在使用针对16S rRNA基因的MiSeq方法，评估钨矿在两个尾矿盆地内的微生物和化学空间分布，从而将微生物的组成和功能与化学变异性联系起来，从而提供信息，以提高开采效率这些次要来源。尾矿沉积物的核心微生物组包括厌氧杆菌科和不动杆菌属，芽孢杆菌，纤维单胞菌，假单胞菌，链球菌和Rothia，尽管尾矿的理化特性存在明显差异。Al和K的较高含量塑造了盆地1的群落，而As-S-Fe含量与盆地2的微生物组组成相关。微生物组的预测代谢功能富含与代谢途径和环境信息处理有关的基因。途径。对尾矿微生物组及其代谢能力的深入了解可以为尾矿处置场的管理提供指导，并最大程度地发挥其作为次要资源的潜力。微生物组的预测代谢功能富含与代谢途径和环境信息处理途径有关的基因。对尾矿微生物组及其代谢能力的深入了解可以为尾矿处置场的管理提供指导，并最大程度地发挥其作为次要资源的潜力。微生物组的预测代谢功能富含与代谢途径和环境信息处理途径有关的基因。对尾矿微生物组及其代谢能力的深入了解可以为尾矿处置场的管理提供指导，并最大程度地发挥其作为次要资源的潜力。

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Tailings microbial community profile and prediction of its functionality in basins of tungsten mine.

In a circular economy concept, where more than 300 million tons of mining and quarrying wastes are produced annually, those are valuable resources, supplying metals that are extracted today by other processes, if innovative methods and processes for efficient extraction of these elements are applied. This work aims to assess microbiological and chemical spatial distribution within two tailing basins from a tungsten mine, using a MiSeq approach targeting the 16S rRNA gene, to relate microbial composition and function with chemical variability, thus, providing information to enhance the efficiency of the exploitation of these secondary sources. The tailings sediments core microbiome comprised members of family Anaerolineacea and genera Acinetobacter, Bacillus, Cellulomonas, Pseudomonas, Streptococcus and Rothia, despite marked differences in tailings physicochemical properties. The higher contents of Al and K shaped the community of Basin 1, while As-S-Fe contents were correlated with the microbiome composition of Basin 2. The predicted metabolic functions of the microbiome were rich in genes related to metabolism pathways and environmental information processing pathways. An in-depth understanding of the tailings microbiome and its metabolic capabilities can provide a direction for the management of tailings disposal sites and maximize their potential as secondary resources.

更新日期：2019-12-20

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