中文关键词白洋淀好氧反硝化好氧反硝化功能基因(napA)生物信息分析网络分析 英文关键词Baiyangdian Lakeaerobic denitrificationnapAbioinformatics analysisnetwork analysis

作者	单位	E-mail
周石磊	河北科技大学环境科学与工程学院, 河北省污染防治生物技术实验室, 石家庄 050018	ZSLZhouShilei@126.com
孙悦	河北科技大学环境科学与工程学院, 河北省污染防治生物技术实验室, 石家庄 050018
岳哿丞	河北科技大学环境科学与工程学院, 河北省污染防治生物技术实验室, 石家庄 050018
张航	河北科技大学环境科学与工程学院, 河北省污染防治生物技术实验室, 石家庄 050018
王周强	河北科技大学环境科学与工程学院, 河北省污染防治生物技术实验室, 石家庄 050018
刘世崇	河北科技大学环境科学与工程学院, 河北省污染防治生物技术实验室, 石家庄 050018
彭瑞哲	河北科技大学环境科学与工程学院, 河北省污染防治生物技术实验室, 石家庄 050018
苑世超	河北科技大学环境科学与工程学院, 河北省污染防治生物技术实验室, 石家庄 050018
李再兴	河北科技大学环境科学与工程学院, 河北省污染防治生物技术实验室, 石家庄 050018
崔建升	河北科技大学环境科学与工程学院, 河北省污染防治生物技术实验室, 石家庄 050018

中文摘要 为了定向精准地完成适于白洋淀低温期水体水质的好氧反硝化菌的筛选和分离，本文结合水质调查和好氧反硝化功能基因（napA）高通量测序技术，进行了水体水质、微生物群落α多样性、β多样性分析以及微生物网络分析.结果表明，该时期白洋淀不同采样点的水体水质存在显著差异，入淀河口区的氮素最高；各采样点α多样性存在显著差异（P<0.05），藻苲淀（ZZD）和瀑河（BH）的菌群丰富度和多样性最低；与此同时，该时期水体的OTU主要属于变形菌门（Protebacteria）中的α-Proteobacteria纲、β-Proteobacteria纲和γ-Proteobacteria纲；韦恩图分析（Venn）表明各采样点水体好氧反硝化菌群组成存在明显差异；膨胀因子分析（VIF）和RDA分析显示，温度、溶解氧、氨氮、硝氮、溶解性总磷以及氧化还原电位是影响菌群组成的主要环境因子；网络分析表明，该时期微生物网络中物种间以共生关系为主；Mantel test分析得出温度、氧化还原电位、硝氮、氨氮、溶解性总磷以及铁锰是影响模块群落结构演变的关键环境因子.综上可知，基于好氧反硝化功能基因（napA）进行高通量测序来研究白洋淀冬季冰封期水体好氧反硝化菌群落特征和环境驱动因素可行，为实现适于该时期水体水质的好氧反硝化菌"定向-精准-高效"的筛选提供技术支撑. 英文摘要 To isolate the aerobic denitrification bacteria suitable for water quality in the low-temperature period of Baiyangdian Lake, a water quality investigation and bioinformatics analysis of the aerobic denitrification bacterial community were carried out using a MiSeq high-throughput sequencing technique based on napA. Moreover, α-diversity, β-diversity, and network analyses were also carried out. The results showed significant differences in the water quality of different sampling sites in Baiyangdian Lake, and the estuary area exhibited the highest nitrogen concentration. α-diversity exhibited significant differences (P<0.05), and the abundance and diversity of ZZD and BH were the lowest. The operational taxonomic units of the water body mainly belonged to Proteobacteria (α-Proteobacteria, β-Proteobacteria, and γ-Proteobacteria). Meanwhile, Venn diagram analysis indicated the community of aerobic denitrification bacteria exhibited significant differences, and variance inflation factor and redundancy analysis showed that temperature, dissolved oxygen, ammonia, nitrate, dissolved total phosphorus, and redox potential were the main environmental factors. Network analysis showed that symbiotic relationships accounted for a major proportion of the microbial network. Mantel test analysis shows that temperature, redox potential, nitrate, ammonia, dissolved total phosphorus, and iron and manganese are the key factors affecting the evolution of modular community structure. From all the results, the MiSeq high-throughput sequencing technique based on the napA gene was an effective tool to explore the changes of aerobic denitrification bacterial community structure, which could supply a reference to isolate the "directional-accurate-efficient" aerobic denitrification bacterial agent in the future.

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