| 不同水文情景下白洋淀水体好氧反硝化菌群对水质因子的动态响应 |
| 摘要点击 2050 全文点击 423 投稿时间：2023-07-19 修订日期：2023-08-01 |
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| 中文关键词 好氧反硝化 白洋淀 水文情景 网络分析 水质因子 |
| 英文关键词 aerobic denitrifcation Baiyangdian Lake hydrological scenarios network analysis water quality factors |
| 作者 | 单位 | E-mail | | 孟佳靖 | 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 | mjj84040225@163.com | | 张甜娜 | 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 | | | 陈哲 | 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 | | | 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 | | 底怡玲 | 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 | | | 武辰彬 | 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 | | | 王晨光 | 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 | | | 张家丰 | 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 | |
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| 中文摘要 |
| 为探究不同水文情景下白洋淀水体好氧反硝化菌群的演变规律和驱动机制,基于水质调查和高通量测序技术,进行了水体水质因子分析、好氧反硝化菌群α多样性分析、物种组成和网络分析.结果表明,白洋淀水体呈弱碱性,丰水期水体T最高,DO最低,冰封期T最低,DO最高.白洋淀水体在枯水期、丰水期、平水期和冰封期下NH4+-N、NO2--N、NO3 --N、TN、高锰酸盐指数、Fe和Mn之间均存在显著差异（P < 0.01）,其中TP在不同水文情景下不存在显著差异（P > 0.05）.不同水文情景下水体中最大的细菌门类为Proteobacteria,相对丰度较高的属为Magnetospirillum、Aeromonas、Pseudomonas、Azospirillum和Bradyrhizobium.此外,好氧反硝化菌群的α多样性均存在显著差异（P < 0.001）,冰封期菌群丰富度最高,枯水期和冰封期菌群的多样性和均匀度最高.经RDA、Mantel分析,菌群的水质驱动因子在不同水文情景下有所差异,枯水期菌群的水质驱动因子为pH、NO3--N、NO2--N和高锰酸盐指数,丰水期菌群的驱动因子为pH、T、DO、NO2--N和TP,平水期的驱动因子为NO2--N、Fe和高锰酸盐指数,冰封期菌群的驱动因子为NO3--N和NO2--N.网络分析表明与水质驱动因子相关的物种存在时间差异,枯水期与水质驱动因子相关的属为Magnetospirillum、Aeromonas和Azoarcus,与丰水期相关的属为Magnetospirillum、Pseudomonas和Aeromonas,与平水期相关的属为Magnetospirillum、Pseudomonas和Limnohabitans,与冰封期相关的属为Magnetospirillum、Azoarcus和Pseudomonas.不同水文情景关键水质因子（主要是T、DO、NO3--N和高锰酸盐指数）与好氧反硝化菌群之间的关联关系,随着时间演变也在逐渐发生变化.综上,通过对不同水文情景下白洋淀水体好氧反硝化菌群演变特征及环境因子驱动机制进行研究,可为认识天然环境中好氧反硝化菌群演变机制提供依据. |
| 英文摘要 |
| In order to explore the evolution law and driving mechanism of aerobic denitrification bacteria in Baiyangdian Lake under different hydrological scenarios, based on water quality survey and high-throughput sequencing technology, this study conducted a water quality factor analysis and aerobic denitrification bacteria α-diversity analysis, species composition, and network analysis. The results showed that the water body of Baiyangdian Lake was weakly alkaline, with the highest T and the lowest DO in the rainy season and the lowest T and the highest DO in the freezing season. There were significant differences between NH4+-N, NO2--N, NO3--N, TN, permanganate index, Fe, and Mn in Baiyangdian water under different hydrological scenarios (P < 0.01), and there was no significant difference in TP under different hydrological scenarios (P > 0.05). The largest category in water bodies under different hydrological scenarios was Proteobacteria, and the genera with a higher relative abundance were Magnetospirillum, Aeromonas, Pseudomonas, Azospirillum, and Bradyrhizobium. In addition, within the aerobic denitrifying bacteria community, there were significant differences in α-diversity (P < 0.001), with the highest abundance of microbial communities occurring during the freezing period, and the highest diversity and evenness of microbial communities during the dry and freezing periods. According to the RDA and Mantel analyses, the water quality driving factors of flora were different under different hydrological scenarios. The water quality driving factors of flora in the dry season were pH, NO3--N, NO2--N, and permanganate index; the driving factors of flora in the rainy season were pH, T, DO, NO2--N, and TP; the driving factors of flora in the normal season were NO2--N, Fe, and permanganate index; and the driving factors of flora in the freezing season were NO3--N and NONO2--N. Network analysis showed that there were temporal differences in species related to water quality driving factors. The genera related to water quality driving factors during the dry season were Magnetospirillum, Aeromonas, and Azoarcus, whereas the genera related to the rainy season were Magnetospirillum, Pseudomonas, and Aeromonas. The genera related to the normal season were Magnetospirillum, Pseudomonas, and Limnohabitans, and the genera related to the freezing period were Magnetospirillum, Azoarcus, and Pseudomonas. The relationship between key water quality factors (mainly T, DO, NO3--N, and permanganate index) and aerobic denitrification flora in different hydrological scenarios was gradually changing with time. In conclusion, the study on the evolution characteristics of aerobic denitrification bacteria in Baiyangdian Lake under different hydrological scenarios and the driving mechanism of environmental factors could provide a basis for understanding the evolution mechanism of aerobic denitrification bacteria in the natural environment. |
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