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在高温阶段不同堆肥中有机物生物降解过程中细菌生态系统的功能。

Bacterial ecosystem functioning in organic matter biodegradation of different composting at the thermophilic phase.

机构信息

Jiangsu Provincial Key Lab of Solid Organic Waste Utilization, Jiangsu Collaborative Innovation Center of Solid Organic Wastes, Educational Ministry Engineering Center of Resource-saving Fertilizers, Nanjing Agricultural University, Nanjing 210095, Jiangsu, China.

Jiangsu Provincial Key Lab of Solid Organic Waste Utilization, Jiangsu Collaborative Innovation Center of Solid Organic Wastes, Educational Ministry Engineering Center of Resource-saving Fertilizers, Nanjing Agricultural University, Nanjing 210095, Jiangsu, China.

出版信息

Bioresour Technol. 2020 Dec;317:123990. doi: 10.1016/j.biortech.2020.123990. Epub 2020 Aug 9.

DOI:10.1016/j.biortech.2020.123990
PMID:32799086
Abstract

This study aimed to provide insights into prediction of composting ecological functioning through analyzing the critical bacterial populations and functions. The bacterial ecosystem functioning was essential, and cow dung, chicken manure, mushroom dreg and Chinese medicine residues were used as raw materials to quantify and predict the functioning of bacterial communities through synthetic spike-in standards accompanied Illumina sequencing and PICRUSt. Bacterial community of wheat straw and chicken manure compost (SCM) was similar to mushroom dreg and chicken manure compost (MCM), and Sinibacillus dominated in both treatments with the abundance of 20.73% and 41.36%, respectively. The correlation analysis between bacterial community and fluorescence EEM regional integration parameters showed that Lactobacillus (0.889), Enterococcus (0.888) and Erysipelothri (0.903) were positively correlated with P, n / P, n. The ontology analysis results showed that metabolism, genetic information processing, environmental information processing and cellular processes were the primary functions for bacterial community in all treatments.

摘要

本研究旨在通过分析关键细菌种群和功能,为堆肥生态功能的预测提供见解。细菌生态系统功能至关重要,本研究使用牛粪、鸡粪、菌渣和中药渣作为原料,通过合成添加标准物结合 Illumina 测序和 PICRUSt 对细菌群落进行定量和预测。小麦秸秆和鸡粪堆肥(SCM)的细菌群落与菌渣和鸡粪堆肥(MCM)相似,枯草芽孢杆菌在两种处理中均占优势,丰度分别为 20.73%和 41.36%。细菌群落与荧光 EEM 区域积分参数之间的相关性分析表明,乳杆菌(0.889)、肠球菌(0.888)和丹毒丝菌(0.903)与 P、n / P、n 呈正相关。本体论分析结果表明,代谢、遗传信息处理、环境信息处理和细胞过程是所有处理中细菌群落的主要功能。

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