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首页> 外文期刊>BMC Microbiology >The bacterial community composition and its environmental drivers in the rivers around eutrophic Chaohu Lake, China
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The bacterial community composition and its environmental drivers in the rivers around eutrophic Chaohu Lake, China

机译:中国富养甲湖湖周围的细菌群落组成及其环境司机

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Bacterial community play a key role in environmental and ecological processes in river ecosystems. Rivers are used as receiving body for treated and untreated urban wastewaters that brings high loads of sewage and excrement bacteria. However, little is known about the bacterial community structure and functional files in the rivers around the eutrophic Chaohu Lake, the fifth largest freshwater lake in China, has been subjected to severe eutrophication and cyanobacterial blooms over the past few decades. Therefore, understanding the taxonomic and functional compositions of bacterial communities in the river will contribute to understanding aquatic microbial ecology. The main aims were to (1) examine the structure of bacterial communities and functional profiles in this system; (2) find the environmental factors of bacterial community variations. We studied 88 sites at rivers in the Chaohu Lake basin, and determined bacterial communities using Illumina Miseq sequencing of the 16?S rRNA gene, and predicted functional profiles using PICRUSt2. A total of 3,390,497 bacterial 16?S rRNA gene sequences were obtained, representing 17 phyla, and 424 genera; The dominant phyla present in all samples were Bacteroidetes (1.4-82.50?%), followed by Proteobacteria (12.6–97.30?%), Actinobacteria (0.1–17.20?%). Flavobacterium was the most numerous genera, and accounted for 0.12–80.34?% of assigned 16?S reads, followed by Acinetobacter (0.33–49.28?%). Other dominant bacterial genera including Massilia (0.06–25.40?%), Psychrobacter (0-36.23?%), Chryseobacterium (0.01–22.86?%), Brevundimonas (0.01–12.82?%), Pseudomonas (0-59.73?%), Duganella (0.08–23.37?%), Unidentified Micrococcaceae (0-8.49?%). The functional profiles of the bacterial populations indicated an relation with many human diseases, including infectious diseases. Overall results, using the β diversity measures, coupled with heatmap and RDA showed that there were spatial variations in the bacterial community composition at river sites, and Chemical oxygen demand (CODMn) and (NH4+ )were the dominant environmental drivers affecting the bacterial community variance. The high proportion of the opportunistic pathogens (Acinetobacter, Massilia, Brevundimonas) indicated that the discharge of sewage without adequate treatment into the rivers around Chaohu Lake. We propose that these bacteria could be more effective bioindicators for long-term sewage monitoring in eutrophic lakes.
机译:细菌群落在河流生态系统中的环境和生态过程中发挥着关键作用。河流被用作接收机构,用于治疗和未经治疗的城市废水器,可带来高负荷的污水和粪便细菌。然而,对于中国第五大淡水湖周围的细菌群落结构和河流周围的细菌群落结构和功能文件知之甚少,在过去的几十年里,在中国第五大淡水湖周围的淡水湖周围受到严重的富营养化和蓝藻绽放。因此,了解河流中细菌社区的分类和功能组成将有助于了解水生微生物生态学。主要目的是(1)检查该系统中细菌群落和功能性谱的结构; (2)找到细菌群落变异的环境因素。我们研究了巢湖盆地河流的88个地点,以及使用illumina miseq测序的细菌群体测序,使用Picrust2预测功能谱。获得总共3,390,497个细菌16β的RRNA基因序列,代表17个植物和424个属;所有样品中存在的主要pHY1是菌株(1.4-82.50μl%),其次是植物菌(12.6-97.30μm),actinobacteria(0.1-17.20?%)。黄杆菌是最多的属,并且占分配的16?S读数的0.12-80.34〜%,其次是acinetobacter(0.33-49.28?%)。其他主要细菌属,包括麻西利(0.06-25.40?%),心理杆菌(0-36.23〜0.0〜36.86μl≤0.0.1-22.86μm),Brevundimonas(0.01-12.82?%),假单胞菌(0-59.73?%), Duganella(0.08-23.37?%),未识别的微癌(0-8.49?%)。细菌种群的功能性谱表明了与许多人类疾病的关系,包括传染病。总体结果,使用β多样性措施,再加上热爱图和RDA,表明河位点的细菌群落组合物中存在空间变化,化学需氧量(CODMN)和(NH4 +)是影响细菌群落方差的主要环境司机。机会主义病原体(AcineTobacter,Massilia,Brevundimonas)的高比例表明,污水排放而不充分处理巢湖周围的河流。我们建议这些细菌可以是更有效的生物indicer在富营养湖中的长期污水监测。

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