[1]周佳莹,耿世伟,郑博洋,等.基于eDNA技术的河湖水生生物群落结构特征解析[J].中国给水排水,2022,38(11):91-97.
ZHOUJia-ying,GENGShi-wei,ZHENGBo-yang,et al.Analysis of Aquatic Biological Community Composition in Rivers and Lakes Based on eDNA Technology[J].China Water & Wastewater,2022,38(11):91-97.
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ZHOUJia-ying,GENGShi-wei,ZHENGBo-yang,et al.Analysis of Aquatic Biological Community Composition in Rivers and Lakes Based on eDNA Technology[J].China Water & Wastewater,2022,38(11):91-97.
基于eDNA技术的河湖水生生物群落结构特征解析
中国给水排水[ISSN:1000-4062/CN:12-1073/TU]
卷:
第38卷
期数:
2022年第11期
页码:
91-97
栏目:
出版日期:
2022-06-01
- Title:
- Analysis of Aquatic Biological Community Composition in Rivers and Lakes Based on eDNA Technology
- Keywords:
- aquatic ecosystem; eDNA; community composition; biodiversity; Tianjin
- 摘要:
- 基于eDNA技术对天津市9个河湖水体的水生生物群落结构及其影响因子进行了分析,结果表明,原核生物优势类群为蓝藻门(Cyanophyta)、放线菌门(Actinobacteria)、变形菌门(Proteobacteria)、拟杆菌门(Bacteroidetes);真核生物优势类群为淡色藻门(Ochrophyta)、纤毛虫(Ciliophora)、丝足虫(Cercozoa)。市外河道的蓝藻水华问题最严重且原核生物多样性显著低于其他水体,市内景观水体的水质较好且真核生物多样性显著高于其他水体。地理位置、盐度和化学污染是影响水体生物群落结构的主要环境因子,同类型水体的原核生物群落结构相似,而盐度和水质是影响水生生物群落结构的最关键因素。研究结果还表明,eDNA技术具有高效、物种覆盖度高等特点,可用于大范围生物监测。
- Abstract:
- The eDNA technology was applied to analyze the aquatic biological community composition and influencing factors in nine rivers and lakes in Tianjin. The dominant prokaryotes were Cyanophyta, Actinobacteria, Proteobacteria and Bacteroidetes, and the dominant eukaryotes were Ochrophyta, Ciliophora and Cercozoa. The problem of cyanobacteria bloom was the most serious in rivers outsides the city, and the prokaryotic biodiversity was significantly lower than that of other water bodies. The water quality of urban landscape water was better, and the eukaryotic biodiversity was significantly higher than that of other water bodies. Geographical location, salinity and chemical pollution were the main environmental factors affecting the biological community composition of water bodies. The community composition of prokaryotes in the same type of water bodies was similar to each other. Salinity and water quality were the most important factors affecting the aquatic biological community composition. eDNA technology has the characteristics of high efficiency and high species coverage, which can be used for large-scale biological monitoring.
相似文献/References:
[1]李亮,刘龙志,吴昊,等.玉溪市出水口生态公园多级水系净化系统工艺设计[J].中国给水排水,2021,37(22):47.
LI Liang,LIU Long-zhi,WU Hao,et al.Process Design of Multi-stage Water Purification System in Yuxi Chushuikou Ecological Park[J].China Water & Wastewater,2021,37(11):47.
更新日期/Last Update:
2022-06-01