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The Ecological Respond Of Microorganisms To Environment In Different Nitrogen Polluted Water

Posted on:2017-04-05Degree:MasterType:Thesis
Country:ChinaCandidate:P W ZhaoFull Text:PDF
GTID:2271330485977628Subject:Microbiology
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In recent years, a large amount of domestic sewage and industrial water caused serious water pollution in China, especially the nitrogen pollution. Micro-remediation is widely used in denitrification process, and microorganism influenced by environment is directly determine the effect of bioremediation. In order to control the nitrogen pollution in water. The samples of Nine streams, the West lake, the Tiesha river, the Jinghang Canal, and the Qianjia river were collected in April 2015 to March 2016, and the relationship between the microorganism and environmental factors in different water was studied. The main results are as follows:(1) There are differences between the physical and chemical indicators in different water, and the some water in different seasons have different physical and chemical indicators: the annual average content of Nine streams of NO3--N(3.904 mg/L) is the highest, and the content of C/N(1.4) is the lowest. In the different seasons, the content of NO2--N and NO3--N is stable; The content of NH4+-N, TP, DO and TOC in Nine streams, the West lake, the Tiesha river are stable. The content of NH4+-N, TP, DO and TOC in the Jinghang Canal and the Qianjia river are unstable.To compare the bacterial diversity in different water: Jinghang Canal>Qianjia river>West lake >Tiesha river>Nine streams.(2) The high-throughput sequencing in different water results showed that: bacteria species belonging to 40 doors, 85 classes, 187 orders, 343 families and 749 genera. In addition to the Tiesha River in summer, Proteobacteria are the most dominant in samples. Proteobacteria of the dominant proportion of ranged from 31.62% to 92.72%, and Cyanobacteria are the most dominant in the Tiesha River in summer, the proportion of sample is 63.43%. The function geness related to denitrification belong to 5 doors, 8 classes, 21 orders, 29 families and 49 genera. Proteobacteria are the most dominant in samples. Proteobacteria of the dominant proportion of ranged from 55.58% to 99.96%, Canonical correlation analysis(CCA) results show that T, TOC, TP, dissolved oxygen concentration and microbial community structure of the highest correlation. T、C/N and functional genes related to denitrification of the highest correlation.(3) The study of indoor simulation experiment and cultivation experiment in situ found that: the content of TN, TOC and C/N in 024h trend obviously, and basically stable after 24h; The content of TN, C/N in 96 h and in-situ water is consistent, The content of NH4+-N, TOC, TP in 96 h is less than in-situ water at start;Nine streams,the west lake and Tiesha river are keep in low ammonia nitrogen level. Extracellular enzyme activity in different water samples have obvious growth trend within 96 hours The bacteria abundance rapidly growth in different samples within 96 h, the filtered samples of bacteria abundance increase faster than the original samples significantly.Through the main components of the DGGE profiles analysis results showed that: different water under simulated water in situ and in situ water, that make the bacteria community structure change. And the bacterial community is difference between in simulation of water and in situ water.
Keywords/Search Tags:Water, Ammonia nitrogen, Bacteria abundance, Bacterial community, Ecological response, High throughput sequencing
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