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| Microbial community monitoring in Baiyangdian Lake based on eDNA technology |
| Received:June 01, 2021 |
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| KeyWord:eDNA metabarcoding;Baiyangdian Lake;microbial community;biomonitoring |
| Author Name | Affiliation | E-mail | | CHEN Jiaqi | State Key Laboratory of Water Environmental Simulation, School of Environment, Beijing Normal University, Beijing 100875, China | | | DONG Li | State Key Laboratory of Water Environmental Simulation, School of Environment, Beijing Normal University, Beijing 100875, China | | | MA Xiaomei | State Key Laboratory of Water Environmental Simulation, School of Environment, Beijing Normal University, Beijing 100875, China | | | TIAN Kai | State Key Laboratory of Water Environmental Simulation, School of Environment, Beijing Normal University, Beijing 100875, China | | | BAI Jie | State Key Laboratory of Water Environmental Simulation, School of Environment, Beijing Normal University, Beijing 100875, China | | | ZHAO Yanwei | State Key Laboratory of Water Environmental Simulation, School of Environment, Beijing Normal University, Beijing 100875, China | awei1974@bnu.edu.cn |
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| Abstract: |
| A vast majority of microbes are unable to be monitored based on traditional morphological methods,which restricts its application; in contrast, environmental DNA(eDNA) metabarcoding provides a new and efficient biomonitoring method. In this study, the microbial communities in Baiyangdian Lake were examined by eDNA matabarcoding, and the spatiotemporal distribution of community composition, reads, and biodiversity of microbes in Baiyangdian Lake were identified. At the same time, algae detection ability was evaluated by comparing the eDNA and traditional morphological methods, and the sensitivity and flexibility of eDNA were analyzed. The results showed that:In Baiyangdian Lake, a total of 4 569 operational taxonomic units of seven microbial communities were detected based on eDNA matabarcoding and belonged to 567 species, of which bacteria(except Cyanobacteria) were the most abundant, followed by protozoa and the archaea were the least, respectively. In terms of time, the biodiversity of the main microbial communities in Baiyangdian Lake was the highest in autumn followed by that in summer, and the reads and relative abundance at the phylum or genus level of the microbial groups also showed obvious seasonal characteristics. Spatially, the distribution of dominant phyla at each sampling point was roughly similar,while the distribution of those relatively less abundant,such as Epsilonbacteraeota,was clearly unbalanced. The composition and distribution of microbial communities in Baiyangdian Lake were affected by temporal and spatial variations, and the effect of temporal variation was more significant. eDNA metabarcoding has a higher detection ability than traditional morphological methods, and the combination of these two methods is more conducive for acquiring comprehensive information to identify microbial components. The study reveals the composition of microbial communities in Baiyangdian Lake, explores the application of eDNA metabarcoding in northern wetlands, and demonstrates the high efficiency and sensitivity of eDNA technology. |
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