Multivariate relationships between microbial communities and environmental variables during co-composting of sewage sludge and agricultural waste in the presence of PVP-AgNPs.

Multivariate relationships between microbial communities and environmental variables during co-composting of sewage sludge and agricultural waste in the presence of PVP-AgNPs.
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DOI:
10.1016/j.biortech.2018.03.089
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发表时间:
2018-08
影响因子:
11.4
通讯作者:
L. Zhang;Jiachao Zhang;G. Zeng;Haoran Dong;Yaoning Chen;Chao Huang;Yuan Zhu;Rui Xu;Yujun Cheng;Kunjie Hou;Weicheng Cao;Wei Fang
L. Zhang;Jiachao Zhang;G. Zeng;Haoran Dong;Yaoning Chen;Chao Huang;Yuan Zhu;Rui Xu;Yujun Cheng;Kunjie Hou;Weicheng Cao;Wei Fang
中科院分区:
工程技术1区
文献类型:
--
作者:
L. Zhang;Jiachao Zhang;G. Zeng;Haoran Dong;Yaoning Chen;Chao Huang;Yuan Zhu;Rui Xu;Yujun Cheng;Kunjie Hou;Weicheng Cao;Wei Fang

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本研究评估了环境变量的贡献,在堆肥过程中的细菌16 S rDNA,硝化和反硝化基因丰度的变化,在聚乙烯吡咯烷酮涂层银纳米粒子(PVP-AgNPs)的存在下。冗余分析(RDA)中的人工正向选择表明,16 S rDNA的变异主要由NO3−-N引起,硝化作用基因与pH显著相关,硝化作用基因主要由NO3−-N和TN引起。部分RDA进一步揭示,NO3−-N仅解释了16 S rDNA丰度变异的28.8%,pH值解释了硝化基因变异的61.8%。NO3--N和TN分别占硝化基因变异的34.2%和9.2%。RDA三图显示不同基因与环境参数的关系不同。基于这些研究结果,可以在未来的工作中进行高效率和高质量的堆肥,通过调整重要的环境变量。
This study evaluated the contributions of environmental variables to the variations in bacterial 16S rDNA, nitrifying and denitrifying genes abundances during composting in the presence of polyvinylpyrrolidone coated silver nanoparticles (PVP-AgNPs). Manual forward selection in redundancy analysis (RDA) indicated that the variation in 16S rDNA was significantly explained by NO3−-N, while nitrifying genes were significantly related with pH, and denitrifying genes were driven by NO3−-N and TN. Partial RDA further revealed that NO3−-N solely explained 28.8% of the variation in 16S rDNA abundance, and pH accounted for 61.8% of the variation in nitrifying genes. NO3−-N and TN accounted for 34.2% and 9.2% of denitrifying genes variation, respectively. The RDA triplots showed that different genes shared different relationships with environmental parameters. Based on these findings, a composting with high efficiency and quality may be conducted in the future work by adjusting the significant environmental variables.