Biogeographic pattern of bacterioplanktonic community and potential function in the Yangtze River: Roles of abundant and rare taxa
文献类型:期刊论文
作者 | Wang, Yu1; Ye, Fei1; Wu, Shengjun3![]() |
刊名 | SCIENCE OF THE TOTAL ENVIRONMENT
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出版日期 | 2020-12-10 |
卷号 | 747页码:10 |
关键词 | Bacterioplankton Rare biosphere Biogeography Functional prediction Co-occurrence networks Yangtze River |
ISSN号 | 0048-9697 |
DOI | 10.1016/j.scitotenv.2020.141335 |
通讯作者 | Ye, Fei(yefei09007@gzhu.edu.cn) ; Hong, Yiguo(yghong@gzhu.edu.cn) |
英文摘要 | Bacterioplanktonic communities, consisting of a few abundant taxa (AT) and many rare taxa (RT), are essential component of riverine ecosystems. Nonetheless, the biogeographic patterns of bacterioplankton and roles of AT and RT in community structuring and functional composition remain uncertain in large rivers. Here, we employ the Yangtze River, which is the third-longest river in the world, as model system. By using high-throughput sequencing and bioinformatics tool of Tax4Fun, the geographical patterns of bacterioplanktonic taxonomic and predicted functional communities are investigated, and the relative importance of abundant and rare subcommunities in community structuring are explored. Results showed a clear spatial variation that the bacterioplanktonic communities of upper, middle and lower reaches of the river are significantly different from each other. Besides, the Three Gorges Dam exhibited impact on the bacterioplankton of upper reach whose community is relatively closer to that of the Poyang Lake. Both the abundant and rare subcommunities showed spatial variation along the river, which is similar to the total bacterioplanktonic community. The rare subcommunity comprised a majority of community diversity with 23.6% of the total sequences and 94.2% of the total OTUs. The rare subcommunity contributes a major part (56.8%) versus abundant subcommunity (16.3%) of the spatial variation of the total community. In addition, the non-RT exhibits more interactions with RT than with themselves, and all of the 33 keystone species are belonged to RT. Hence, the RT is critical for community structuring and assembling. By contrast, no obvious spatial effect was observed for the predicted functional community. The predicted functions of abundant and rare subcommunities are consistent with that of total community, despite their contrasting community composition. In summary, the rare subcommunity show significantly impact on the community structure and assembling, and play an important role in predicted function as 'seed bank' in the Yangtze River. (C) 2020 Elsevier B.V. All rights reserved. |
资助项目 | National Natural Science Foundation of China[41977153] ; National Natural Science Foundation of China[51908145] ; National Natural Science Foundation of China[31870100] ; National Natural Science Foundation of China[91851111] |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 英语 |
WOS记录号 | WOS:000579386300007 |
出版者 | ELSEVIER |
源URL | [http://119.78.100.138/handle/2HOD01W0/11898] ![]() |
专题 | 中国科学院重庆绿色智能技术研究院 |
通讯作者 | Ye, Fei; Hong, Yiguo |
作者单位 | 1.Guangzhou Univ, Inst Environm Res Greater Bay Area, Key Lab Water Qual & Conservat Pearl River Delta, Minist Educ, Guangzhou 510006, Peoples R China 2.Natl Inst Environm Studies, Ctr Mat Cycles & Waste Management Res, Tsukuba, Ibaraki 3058506, Japan 3.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Yu,Ye, Fei,Wu, Shengjun,et al. Biogeographic pattern of bacterioplanktonic community and potential function in the Yangtze River: Roles of abundant and rare taxa[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2020,747:10. |
APA | Wang, Yu.,Ye, Fei.,Wu, Shengjun.,Wu, Jiapeng.,Yan, Jia.,...&Hong, Yiguo.(2020).Biogeographic pattern of bacterioplanktonic community and potential function in the Yangtze River: Roles of abundant and rare taxa.SCIENCE OF THE TOTAL ENVIRONMENT,747,10. |
MLA | Wang, Yu,et al."Biogeographic pattern of bacterioplanktonic community and potential function in the Yangtze River: Roles of abundant and rare taxa".SCIENCE OF THE TOTAL ENVIRONMENT 747(2020):10. |
入库方式: OAI收割
来源:重庆绿色智能技术研究院
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