Deng Ru, Chen Xi, Qiu Li-Ping, Chen Jia-Zhang, Meng Shun-Long
National Demonstration Center for Experimental Fisheries Science Education; Key Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture; Centre for Research On Environmental Ecology and Fish Nutrion of the Ministry of Agriculture, Shanghai Ocean University, Shanghai, 201306 China.
Freshwater Fisheries Research Center; Laboratory of Quality & Safety Risk Assessment for Aquatic Products On Environmental Factors, Ministry of Agriculture; Key Laboratory of Fishery Eco-Environment Assessment and Resource Conservation in Middle and Lower Reaches of the Yangtze River, Chinese Academy of Fishery Sciences (CAFS), Wuxi, 214081 China.
Indian J Microbiol. 2021 Dec;61(4):475-486. doi: 10.1007/s12088-021-00974-y. Epub 2021 Aug 23.
Microorganisms are sensitive to changes in the external environment and are often used as indicators to monitor and reflect water quality. Using Illumina MiSeq sequencing, the characteristics of the microbial community in Shihou Lake water at different time points were analyzed and the key environmental factors affecting the bacterial community were identified. The microbial community diversity in Shihou Lake water was rich and showed significant differences over time. The main bacterial phyla were the , , , , , , , , , and . The relative abundance of these major phyla in the sample accounted for 97.83%-99.07% of the total abundance; had the highest relative abundance, accounting for 13.07%-44.61% of the total, and the abundance of each dominant phylum was significantly different at different time points. The Shannon and Simpson indexes showed that the diversity of each month was as follows: August > October > July > September > November. The Chao1 and Ace indexes indicated that the order of richness was: November > October > July > August > September. Beta diversity analysis found significant differences in the samples from month to month. Environmental factors such as temperature, total nitrogen, chlorophyll-, permanganate index, nitrite, pH and ammonia nitrogen had significant effects on microbial community structure.
微生物对外部环境变化敏感,常被用作监测和反映水质的指标。利用Illumina MiSeq测序技术,分析了石湖不同时间点水体微生物群落特征,确定了影响细菌群落的关键环境因素。石湖水体微生物群落多样性丰富,且随时间呈现显著差异。主要细菌门类有、、、、、、、、、和。这些主要门类在样本中的相对丰度占总丰度的97.83%-99.07%;相对丰度最高,占总量的13.07%-44.61%,各优势门类在不同时间点的丰度存在显著差异。香农指数和辛普森指数表明,各月份多样性依次为:8月>10月>7月>9月>11月。Chao1指数和Ace指数表明,丰富度顺序为:11月>10月>7月>8月>9月。β多样性分析发现各月份样本间存在显著差异。温度、总氮、叶绿素-a、高锰酸盐指数、亚硝酸盐、pH值和氨氮等环境因素对微生物群落结构有显著影响。