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四个处于不同营养状态的相邻淡水湖的细菌群落。

Bacterial communities of four adjacent fresh lakes at different trophic status.

机构信息

School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China; Hubei Key Laboratory of Regional Development and Environmental Response (Hubei University), Wuhan 430062, China.

School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China.

出版信息

Ecotoxicol Environ Saf. 2018 Aug 15;157:388-394. doi: 10.1016/j.ecoenv.2018.03.086. Epub 2018 Apr 9.

DOI:10.1016/j.ecoenv.2018.03.086
PMID:29649784
Abstract

Knowing the microbial compositions in fresh lakes is significant to explore the mechanisms of eutrophication and algal blooms. This study reported on the bacterial communities of the four adjacent fresh lakes at different trophic status by Illumina MiSeq Platform, which were Tangxun Lake (J1), Qingling Lake (J2), Huangjia Lake (J3) and Niushan Lake (J4) in Wuhan, China. J1 had the highest salinity and phosphorus. J2 was abundant in TC (Total Carbon)/TOC (Total Organic Carbon.), calcium and magnesium. J3 had the highest content of nitrogen, iron and pollution of heavy metals. High-throughput sequencing analysis of the 16S rRNA gene revealed that the eutrophic lakes (J1, J2 and J3) were dominated by Cyanobacteria (46.1% for J1, 40.8% for J2, 33.4% for J3) and the oligotrophic lake (J4) was dominated by Actinobacteria (34.2%). An increase of Cyanobacteria could inhibit the growth of Proteobacteria, Actinobacteria and Bacteroidetes. Functional inferences from 16S rRNA sequences suggested that J4 had more abundant bacteria with regard to substrate metabolism than J1, J2, and J3. Burkholderia and Fluviicola might be a suggestion of good water quality. The results demonstrated that the bacterial community could well reflect the water quality of the four lakes.

摘要

了解新鲜湖泊中的微生物组成对于探索富营养化和藻类大量繁殖的机制具有重要意义。本研究利用 Illumina MiSeq 平台报告了中国武汉四个不同营养状态的相邻淡水湖(J1)汤逊湖、(J2)青菱湖、(J3)黄家湖和(J4)牛山湖的细菌群落。J1 具有最高的盐度和磷含量。J2 富含总碳(TC)/总有机碳(TOC)、钙和镁。J3 具有最高的氮、铁和重金属污染含量。16S rRNA 基因高通量测序分析表明,富营养化湖泊(J1、J2 和 J3)以蓝藻(J1 为 46.1%,J2 为 40.8%,J3 为 33.4%)为主,贫营养化湖泊(J4)以放线菌(34.2%)为主。蓝藻的增加会抑制变形菌门、放线菌门和拟杆菌门的生长。16S rRNA 序列的功能推断表明,J4 中与底物代谢有关的细菌比 J1、J2 和 J3 更为丰富。伯克霍尔德菌属和河流水杆菌属可能是水质良好的暗示。结果表明,细菌群落可以很好地反映四个湖泊的水质。

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