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农业风险因素影响洪湖的微生物生态。

Agricultural Risk Factors Influence Microbial Ecology in Honghu Lake.

机构信息

Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-imaging, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China; Key Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China.

The Microbiome Center, Department of Surgery, University of Chicago, Chicago, IL 60637, USA; Argonne National Laboratory, Biosciences Division, Lemont, IL 60439, USA; Marine Biological Laboratory, Woods Hole, MA 02543, USA.

出版信息

Genomics Proteomics Bioinformatics. 2019 Feb;17(1):76-90. doi: 10.1016/j.gpb.2018.04.008. Epub 2019 Apr 23.

Abstract

Agricultural activities, including stock-farming, planting industry, and fish aquaculture, can affect the physicochemical and biological characters of freshwater lakes. However, the effects of pollution producing by agricultural activities on microbial ecosystem of lakes remain unclear. Hence, in this work, we selected Honghu Lake as a typical lake that is influenced by agriculture activities. We collected water and sediment samples from 18 sites, which span a wide range of areas from impacted and less-impacted areas. We performed a geospatial analysis on the composition of microbial communities associated with physicochemical properties and antibiotic pollution of samples. The co-occurrence networks of water and sediment were also built and analyzed. Our results showed that the microbial communities of impacted and less-impacted samples of water were largely driven by the concentrations of TN, TP, NO-N, and NO-N, while those of sediment were affected by the concentrations of Sed-OM and Sed-TN. Antibiotics have also played important roles in shaping these microbial communities: the concentrations of oxytetracycline and tetracycline clearly reflected the variance in taxonomic diversity and predicted functional diversity between impacted and less-impacted sites in water and sediment samples, respectively. Furthermore, for samples from both water and sediment, large differences of network topology structures between impacted and less-impacted were also observed. Our results provide compelling evidence that the microbial community can be used as a sentinel of eutrophication and antibiotics pollution risk associated with agricultural activity; and that proper monitoring of this environment is vital to maintain a sustainable environment in Honghu Lake.

摘要

农业活动,包括畜牧业、种植业和水产养殖,会影响淡水湖泊的理化和生物特性。然而,农业活动产生的污染对湖泊微生物生态系统的影响尚不清楚。因此,在这项工作中,我们选择了洪湖作为一个受农业活动影响的典型湖泊。我们从 18 个地点采集了水样和底泥样,这些地点涵盖了受影响和未受影响的广泛区域。我们对与样品理化性质和抗生素污染相关的微生物群落组成进行了地理空间分析。还构建和分析了水和沉积物的共现网络。结果表明,受影响和未受影响水样的微生物群落主要受 TN、TP、NO-N 和 NO-N 浓度的驱动,而沉积物的微生物群落受 Sed-OM 和 Sed-TN 浓度的影响。抗生素在塑造这些微生物群落方面也发挥了重要作用:土霉素和四环素的浓度清楚地反映了水和沉积物中受影响和未受影响地点之间分类多样性和预测功能多样性的差异。此外,对于来自水和沉积物的样品,受影响和未受影响地点之间的网络拓扑结构也存在很大差异。研究结果提供了有力的证据,表明微生物群落可以作为与农业活动相关的富营养化和抗生素污染风险的哨兵;对这种环境进行适当的监测对于维持洪湖的可持续环境至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ea0/6520916/40e9adbe2b2b/gr1.jpg

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