摘要
近年来,随着海水养殖业的迅猛发展,我国沿海水域生态系统遭受了不同程度的污染。选取我国沿海10个典型养殖水域(大连、唐山、蓬莱、连云港、启东、象山、宁德、东山,湛江、陵水),并以美济礁水域作为对照组(无水产养殖活动),采用宏基因组denovo测序方法系统分析了这些水域微生物的多样性,并进行了对比研究。结果发现,我国典型养殖水域微生物多样性与非养殖水域(美济礁)相比差异较大,美济礁水域微生物多样性明显低于各养殖水域;不同的养殖水域之间,微生物的丰度和多样性亦存在较大的差别;厚壁菌门和变形菌门是这些水域丰度最大的门类,其中厚壁菌门中的芽孢杆菌是其优势菌种。研究结果不仅有助于了解中国沿海典型养殖水域微生物的多样性,并可为评估我国海洋生态系统的污染水平提供基础数据。
In recent years, with the rapid development of mariculture, the ecosystem of coastal waters in China has suffered from different degrees of pollution. The scale of mariculture in coastal areas of China is expanding, while sewage entering the sea, illegal exploitation, drug abuse and other problems are prominent, leading to pollution in the coastal waters and frequent occurrence of aquatic diseases. In large marine ecosystems, microorganisms are very important components, and their structural composition and metabolites are indicative of the environment. The composition of the microbial community is closely related to the water quality of the ocean, which can indirectly reflect the characteristics of the water and affect the survival and reproduction of marine species. In this study, 10 typical aquaculture waters along the coast of China, including Dalian, Tangshan, Penglai, Lianyungang, Qidong, Xiangshan, Ningde, Dongshan, Zhanjiang and Lingshui were selected, and the Meijijiao was used as a non-mariculture control. Sediment samples were collected from these typical aquaculture waters. The diversity of microbes in these sites was systematically analyzed using the method of macro genome de novo sequencing, and a comparative analysis was carried out. The results showed that the Chao index and ACE index of Ningde were the highest (652.0 and 670.8, respectively), indicating that the community richness in this region was the highest, followed by Dalian;the Simpson index of Ningde was the highest, followed by Dalian, and the highest value of Shannon index was Dalian, followed by Ningde. Principal coordinates analysis (PCoA) used in this experiment showed that there was overlap between Lianyungang and Qidong, indicating that the composition of bacterial community between them was very similar. A variant of principal components analysis was used in this study and showed that the distance between the point of Penglai and other sites was far, suggesting that the bacterial community between PL and other samples was quite different. The heatmap showed that Dalian, Penglai and Xiangshan had obvious and large red regions, indicating that these red regions covered a large number of bacteria, and except for sample of Meijijiao, all other samples had smaller red regions. At the phylum level, the bacterial community was divided into two main groups: Firmicutes and Proteobacteria. In most of samples, the community richness of Firmicutes was higher than that of Proteobacteria. In Firmicutes, the bacteria of Bacteriaceae occupied the main part, and in addition, Planococcaceae and Bacillaceae were the main parts in Bacillates of Bacillus . At the generic level, the dominant group was Bacillus . In the Proteobacteria of Proteus , the most abundant community was Moraxellaceae. Of the family Moralidae, Pseudomonas was the dominant member in the Gammaproteobacteria of Proteus . In summary, the results indicated that the diversity of microorganisms in typical aquaculture waters was different from that in non-cultured waters (Meijijiao), and the abundance and diversity of microorganisms were also different among different mariculture sites. The Firmicutes and Proteobacteria are the most abundant bacterial phylum in these mariculture areas, among which Bacillus is the dominant species in this phylum. The results are not only helpful to understand the diversity of microorganisms in typical mariculture areas along the coast of China, but also to provide basic data for assessing the pollution level of marine ecosystems in China.
作者
高权新
李云莉
齐占会
岳彦峰
施兆鸿
彭士明
高阳
GAO Quan-xin;LI Yun-li;QI Zhan-hui;YUE Yan-feng;SHI Zhao-hong;PENG Shi-ming;GAO Yang(School of Life Science, Huzhou University, Huzhou Zhejiang 313000, China;College of Fisheries, Zhejiang Ocean University, Zhoushan Zhejiang 316022, China;Key Laboratory of Marine and Estuarine Fisheries, Ministry of Agriculture, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China;Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China)
出处
《海洋渔业》
CSCD
北大核心
2019年第3期354-363,共10页
Marine Fisheries
基金
国家海洋局海洋生态环境科学与工程重点实验室(No.MESE-2017-07)
水产浙江省一流学科开放课题(No.20160009)
农业部南海渔业资源开发利用重点实验室开放基金(No.FREU2016-03)
