白洋淀沉积物中抗生素污染及其对微生物群落结构和功能基因时空变化的影响 |
摘要点击 2155 全文点击 445 投稿时间:2023-09-08 修订日期:2023-11-20 |
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中文关键词 白洋淀 沉积物 抗生素污染 微生物群落结构 功能基因 时空变化 影响因素 |
英文关键词 Baiyangdian Lake sediment antibiotics pollution microbial community structure functional Genes spatiotemporal variation influencing factors |
作者 | 单位 | E-mail | 宋圆梦 | 河北科技大学环境科学与工程学院, 石家庄 050000 | songym299011@163.com | 董丽 | 河北省生态环境科学研究院, 石家庄 050037 | | 卢梦淇 | 河北科技大学环境科学与工程学院, 石家庄 050000 | | 赵波 | 河北科技大学环境科学与工程学院, 石家庄 050000 | | 王琳静 | 河北科技大学环境科学与工程学院, 石家庄 050000 | | 陈昊达 | 河北科技大学环境科学与工程学院, 石家庄 050000 | | 高赛 | 河北科技大学环境科学与工程学院, 石家庄 050000 | | 崔建升 | 河北科技大学环境科学与工程学院, 石家庄 050000 河北省污染防治生物技术实验室, 石家庄 050000 | | 张璐璐 | 河北科技大学环境科学与工程学院, 石家庄 050000 河北省污染防治生物技术实验室, 石家庄 050000 | zhanglulu19850703@163.com |
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中文摘要 |
微生物群落在其湖泊水质调节和生物地球化学循环中发挥重要作用,其群落结构和功能受环境因素的影响.其中,抗生素会影响微生物群落的丰度、多样性、组成和功能.鉴于此,选取白洋淀为研究区域,共设置16个采样点,分别于2018年8月和2019年4月采集沉积物样品,运用超高效液相色谱-质谱联用(HPLC-MS/MS)方法测定沉积物中典型抗生素——喹诺酮类(QNs)含量,并利用高通量测序技术对沉积物中微生物群落结构及功能进行分析,探究其时空变化规律;运用冗余分析(RDA)识别微生物群落时空变化的主要影响因素.结果表明:①由2018年8月到2019年4月ω(QNs)平均值由3.91 ng·g-1变为6.34 ng·g-1,喹酸(OXO)和总QNs含量季节差异显著(P < 0.05);②就时间变化而言,白洋淀沉积物中主要优势菌门为变形菌(Proteobacteria)和绿弯菌(Chloroflexi),Proteobacteria相对丰度呈降低趋势,而Chloroflexi相对丰度则呈升高趋势;属水平上,8月主要优势菌属为norank_ f _Anaerolineaceae和硫杆菌属,4月优势菌属为不动杆菌属和norank_ f_Anaerolineaceae,且季节差异显著(P < 0.05);③就时间变化而言,Simpson指数、 Chao指数、 Ace指数和OTU数量均呈升高趋势,且季节差异显著(P < 0.05);④就空间变化而言,各类COG功能基因无显著空间差异;就时间变化而言,能源生产和转换类、碳水化合物运输与代谢类、转录类、细胞壁/膜/包膜生物发生类和信号传导机制类功能基因季节差异显著(P < 0.01和P < 0.05);⑤微生物群落结构和功能基因与QNs含量呈现显著相关关系(P < 0.01和P < 0.05),且QNs是其主要的影响因子.因此,QNs作为白洋淀沉积物微生物群落结构和功能基因变化的主要因素,应进一步加强沉积物中抗生素污染的综合管控. |
英文摘要 |
Microbial communities play an important role in water quality regulation and biogeochemical cycles in lakes, and their community structure and function are affected by environmental factors. Therein, antibiotics affect the abundance, diversity, composition, and function of microbial communities. In this study, Baiyangdian Lake was selected as the study area. Sediment samples of 16 sites were collected in August 2018 and April 2019, respectively. Ultra-high performance liquid chromatography-mass spectrometry (HPLC-MS/MS) was used to determine the content of typical antibiotics-quinolones (QNs) in sediment. Through high-throughput sequencing technology, the structure and function of microbial communities was analyzed in the sediments to explore the spatiotemporal variation. Thereinto, redundancy analysis (RDA) was used to identify the key influencing factors of spatiotemporal variation of microbial communities. The results showed that: ① From August to April, the average ω(QNs) showed an increasing trend, and its mean value changed from 3.91 ng·g-1 to 6.34 ng·g-1, with significant seasonal differences in oxolinic acid (OXO) and total QNs content (P < 0.05). ② In terms of temporal variation, the dominant bacteria were Proteobacteria and Chloroflexi. The relative abundance of Proteobacteria showed a decreasing trend, whereas Chloroflexi showed an increasing trend; at the genus level, the dominant bacteria genera in August were norank_ f__Anaerolineaceae and Thiobacilus, and the dominant bacteria genera in April were Acinetobacter and norank_ f_Anaerolineaceae, and the dominant bacteria genera had significant seasonal differences (P < 0.05). ③ In terms of temporal variation, the index of Simpson, Chao, Ace, and OTU number all showed an increasing trend, and the seasonal differences were significant (P < 0.05). ④ In terms of spatial variation, there were no significant spatial differences among functional genes of COG. In terms of temporal variation, there were significant seasonal differences in functional genes of energy production and conversion, carbohydrate transport and metabolism, transcription, cell wall/membrane/envelope biogenesis, and signal transduction mechanisms (P < 0.01 and P < 0.05). ⑤ Microbial community structure and functional genes were significantly correlated with QNs (P < 0.01 and P < 0.05), and QNs were the main influencing factors. Therefore, QNs were the main factor affecting the changes in microbial community structure and functional genes in sediments of Baiyangdian Lake. Thus, comprehensive control of antibiotic pollution in sediments should be further strengthened. |
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