Untangling Microbiota Diversity and Assembly Patterns in the World's Largest Water Diversion Canal
文献类型：期刊论文
| 作者 | Zhang, Lu; Yin, Wei; Wang, Chao ; Zhang, Aijing; Zhang, Hong; Zhang, Tong; Ju, Feng
|
| 刊名 | WATER RESEARCH
 |
| 出版日期 | 2021-10-01 |
| 卷号 | 204页码:- |
| 关键词 | Engineered system Bacterial community Micro-eukaryote Stochastic assembly Deterministic assembly Population growth |
| ISSN号 | 0043-1354 |
| 英文摘要 | Large water diversion projects are important constructions for reallocation of human-essential water resources. Deciphering microbiota dynamics and assembly mechanisms underlying canal water ecosystem services especially during long-distance diversion is a prerequisite for water quality monitoring, biohazard warning and sustainable management. Using a 1432-km canal of the South-to-North Water Diversion Projects as a model system, we answer three central questions: how bacterial and micro-eukaryotic communities spatio-temporally develop, how much ecological stochasticity contributes to microbiota assembly, and which immigrating populations better survive and navigate across the canal. We applied quantitative ribosomal RNA gene sequence analyses to investigate canal water microbial communities sampled over a year, as well as null model- and neutral model-based approaches to disentangle the microbiota assembly processes. Our results showed clear microbiota dynamics in community composition driven by seasonality more than geographic location, and seasonally dependent influence of environmental parameters. Overall, bacterial community was largely shaped by deterministic processes, whereas stochasticity dominated micro-eukaryotic community assembly. We defined a local growth factor (LGF) and demonstrated its innovative use to quantitatively infer microbial proliferation, unraveling taxonomically dependent population response to local environmental selection across canal sections. Using LGF as a quantitative indicator of immigrating capacities, we also found that most micro-eukaryotic populations (82%) from the source water sustained growth in the canal and better acclimated to the hydrodynamical water environment than bacteria (67%). Taxa inferred to largely propagate include Limnohabitans sp. and Cryptophyceae, potentially contributing to water auto-purification. Combined, our work poses first and unique insights into the microbiota assembly patterns and dynamics in the world's largest water diversion canal, providing important ecological knowledge for long-term sustainable water quality maintenance in such a giant engineered system. |
| WOS研究方向 | Engineering, Environmental ; Environmental Sciences ; Water Resources |
| 源URL | [http://ir.rcees.ac.cn/handle/311016/46011]  |
| 专题 | 生态环境研究中心_环境水质学国家重点实验室 |
| 作者单位 | 1.Univ Hong Kong, Dept Civil Engn, Environm Microbiome Engn & Biotechnol Lab, Pokfulam Rd, 2.Westlake Univ, Sch Engn, Key Lab Coastal Environm & Resources Zhejiang Pro, 18 Shilongshan Rd, Hangzhou 310024, Zhejiang, Peoples R China 3.Westlake Inst Adv Study, Inst Adv Technol, 18 Shilongshan Rd, Hangzhou 310024, Zhejiang, Peoples R China 4.Changjiang Water Resources Protect Inst, 515 Qintai St, Wuhan 430051, Hubei, Peoples R China 5.Construct & Adm Bur South North Water Divers Midd, 1 Yuyuantan South Rd, Beijing 100038, Peoples R China 6.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Environm Aquat Chem, 18 Shuangqing Rd, Beijing 100085, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Lu,Yin, Wei,Wang, Chao,et al. Untangling Microbiota Diversity and Assembly Patterns in the World's Largest Water Diversion Canal[J]. WATER RESEARCH,2021,204:-. |
| APA | Zhang, Lu.,Yin, Wei.,Wang, Chao.,Zhang, Aijing.,Zhang, Hong.,...&Ju, Feng.(2021).Untangling Microbiota Diversity and Assembly Patterns in the World's Largest Water Diversion Canal.WATER RESEARCH,204,-. |
| MLA | Zhang, Lu,et al."Untangling Microbiota Diversity and Assembly Patterns in the World's Largest Water Diversion Canal".WATER RESEARCH 204(2021):-. |
入库方式： OAI收割
来源：生态环境研究中心
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