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Article: Untangling Microbiota Diversity and Assembly Patterns in the World's Largest Water Diversion Canal

TitleUntangling Microbiota Diversity and Assembly Patterns in the World's Largest Water Diversion Canal
Authors
KeywordsBacterial community
Deterministic assembly
Engineered system
Micro-eukaryote
Population growth
Stochastic assembly
Issue Date1-Oct-2021
PublisherElsevier
Citation
Water Research, 2021, v. 204 How to Cite?
Abstract

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.


Persistent Identifierhttp://hdl.handle.net/10722/362196
ISSN
2023 Impact Factor: 11.4
2023 SCImago Journal Rankings: 3.596

 

DC FieldValueLanguage
dc.contributor.authorZhang, Lu-
dc.contributor.authorYin, Wei-
dc.contributor.authorWang, Chao-
dc.contributor.authorZhang, Aijing-
dc.contributor.authorZhang, Hong-
dc.contributor.authorZhang, Tong-
dc.contributor.authorJu, Feng-
dc.date.accessioned2025-09-20T00:30:42Z-
dc.date.available2025-09-20T00:30:42Z-
dc.date.issued2021-10-01-
dc.identifier.citationWater Research, 2021, v. 204-
dc.identifier.issn0043-1354-
dc.identifier.urihttp://hdl.handle.net/10722/362196-
dc.description.abstract<p>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.</p>-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofWater Research-
dc.subjectBacterial community-
dc.subjectDeterministic assembly-
dc.subjectEngineered system-
dc.subjectMicro-eukaryote-
dc.subjectPopulation growth-
dc.subjectStochastic assembly-
dc.titleUntangling Microbiota Diversity and Assembly Patterns in the World's Largest Water Diversion Canal-
dc.typeArticle-
dc.identifier.doi10.1016/j.watres.2021.117617-
dc.identifier.pmid34555587-
dc.identifier.scopuseid_2-s2.0-85115123304-
dc.identifier.volume204-
dc.identifier.eissn1879-2448-
dc.identifier.issnl0043-1354-

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