Bacterial Community Structure and Diversity in the Aqueous Environment of Shihou Lake and its Relationship with Environmental Factors
文献类型: 外文期刊
第一作者: Deng, Ru
作者: Deng, Ru;Deng, Ru;Deng, Ru;Chen, Xi;Qiu, Li-Ping;Chen, Jia-Zhang;Meng, Shun-Long;Chen, Xi;Qiu, Li-Ping;Chen, Jia-Zhang;Meng, Shun-Long;Chen, Xi;Qiu, Li-Ping;Chen, Jia-Zhang;Meng, Shun-Long
作者机构:
关键词: Illumina MiSeq sequencing; Bacterial community; Environmental factors; Planktonic bacteria; Proteobacteria; Cyanobacteria
期刊名称:INDIAN JOURNAL OF MICROBIOLOGY ( 影响因子:2.461; 五年影响因子:2.259 )
ISSN: 0046-8991
年卷期: 2021 年 61 卷 4 期
页码:
收录情况: SCI
摘要: 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 Cyanobacteria, Proteobacteria, Actinobacteria, Verrucomicrobia, Bacteroidetes, Chloroflexi, Planctomycetes, Firmicutes, Chlorobi, WS6 and Saccharibacteria. The relative abundance of these major phyla in the sample accounted for 97.83%-99.07% of the total abundance; Cyanobacteria 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-a, permanganate index, nitrite, pH and ammonia nitrogen had significant effects on microbial community structure.
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