Wang Lin, Li Bing, Yu Jia-Hui, Zhu Jia-Bin, Zhu Jian
Wuxi Fisheries College, Nanjing Agricultural University, Wuxi 214081, China.
Key Laboratory of Genetic Breeding and Aquaculture Biology of Freshwater Fishes, Ministry of Agriculture, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi 214081, China.
Huan Jing Ke Xue. 2017 Aug 8;38(8):3312-3318. doi: 10.13227/j.hjkx.201701030.
To investigate the rhizosphere microbial community structure characteristics in varying combinations of plants and filter materials in the process of aquaculture pond water treatment, six types of wetland microcosms were established using two kinds of plants ( Turcz. and ) and two types of filter materials (garnet and magnetite). High-throughput sequencing technology was used to analyze the microbial structural features and composition diversity of the wetland rhizosphere. The results were as follows. The microorganisms recovered belonged to 52 phyla, 118 classes, 455 families, 905 genera, and 1426 species. Based on the Shannon index, Turcz. (average value: 5.77) had a higher capacity than (average value: 5.29) in terms of microbial enrichment. However, the rate of Proteobacteria in the rhizosphere microorganism communities of the and Turcz. microcosms were 61.97% and 51.78%, respectively, further showing that the roots of in the wetland microcosms better enriched the Proteobacteria during the experimental period. The major bacterial groups of different plant roots were enriched with -Proteobacteria in the experiment. The results of this study provide a theoretical basis for species optimization in artificial wetland systems and best combination of wetland construction that will be useful for future investigations.
为了研究水产养殖池塘水处理过程中植物与滤料不同组合下根际微生物群落结构特征,利用两种植物(黑三棱和菖蒲)和两种滤料(石榴石和磁铁矿)构建了六种类型的湿地微宇宙。采用高通量测序技术分析湿地根际微生物的结构特征和组成多样性。结果如下。回收的微生物属于52个门、118个纲、455个科、905个属和1426个种。基于香农指数,黑三棱(平均值:5.77)在微生物富集方面比菖蒲(平均值:5.29)具有更高的能力。然而,菖蒲和黑三棱微宇宙根际微生物群落中变形菌门的比例分别为61.97%和51.78%,进一步表明在实验期间湿地微宇宙中菖蒲的根更好地富集了变形菌门。实验中不同植物根际的主要细菌类群都富含α-变形菌纲。本研究结果为人工湿地系统中的物种优化和湿地建设的最佳组合提供了理论依据,这将对未来的研究有用。