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Simultaneously monitoring aquatic and riparian biodiversity using riverine water eDNA

View ORCID ProfileHaile Yang, Hao Du, Hongfang Qi, Luxian Yu, Xindong Hou, Hui Zhang, Junyi Li, Jinming Wu, Chengyou Wang, Qiong Zhou, Qiwei Wei
doi: https://doi.org/10.1101/2020.06.20.162388
Haile Yang
1Key Laboratory of Freshwater Biodiversity Conservation, Ministry of Agriculture and Rural Affairs of China, Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China
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  • ORCID record for Haile Yang
Hao Du
1Key Laboratory of Freshwater Biodiversity Conservation, Ministry of Agriculture and Rural Affairs of China, Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China
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  • For correspondence: duhao@yfi.ac.cn weiqw@yfi.ac.cn
Hongfang Qi
2Qinghai Key Laboratory of Qinghai-Lake Naked Carps Breeding and Conservation, Rescue and Rehabilitation Center of Naked Carps of Qinghai Lake, Xining 810016, China
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Luxian Yu
2Qinghai Key Laboratory of Qinghai-Lake Naked Carps Breeding and Conservation, Rescue and Rehabilitation Center of Naked Carps of Qinghai Lake, Xining 810016, China
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Xindong Hou
3State Key Laboratory of Biogeology and Environmental Geology, China University of Geoscience, Wuhan 430074, China
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Hui Zhang
1Key Laboratory of Freshwater Biodiversity Conservation, Ministry of Agriculture and Rural Affairs of China, Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China
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Junyi Li
1Key Laboratory of Freshwater Biodiversity Conservation, Ministry of Agriculture and Rural Affairs of China, Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China
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Jinming Wu
1Key Laboratory of Freshwater Biodiversity Conservation, Ministry of Agriculture and Rural Affairs of China, Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China
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Chengyou Wang
1Key Laboratory of Freshwater Biodiversity Conservation, Ministry of Agriculture and Rural Affairs of China, Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China
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Qiong Zhou
1Key Laboratory of Freshwater Biodiversity Conservation, Ministry of Agriculture and Rural Affairs of China, Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China
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Qiwei Wei
1Key Laboratory of Freshwater Biodiversity Conservation, Ministry of Agriculture and Rural Affairs of China, Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China
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  • For correspondence: duhao@yfi.ac.cn weiqw@yfi.ac.cn
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Abstract

Environmental DNA (eDNA) metabarcoding for biodiversity monitoring is a critical technical advance. Both aquatic and terrestrial biodiversity information can be detected in riverine water eDNA. However, it remains unverified whether riverine water eDNA can be used to simultaneously monitor aquatic and terrestrial biodiversity. Our specific objective was to assess the effectiveness of monitoring aquatic and riparian biodiversity using riverine water eDNA. We proposed that the monitoring effectiveness (the proportion of aquatic and terrestrial biodiversity information detected by riverine water eDNA samples) could be approximated by the transportation effectiveness of land-to-river and upstream-to-downstream biodiversity information flow. We conducted a case study in a watershed on the Qinghai-Tibet Plateau and estimated the effectiveness of using riverine water eDNA to monitor aquatic and riparian biodiversity based on comparing the operational taxonomic units (OTUs) and species assemblages of three taxonomic communities detected in riverine water eDNA samples and riparian soil eDNA samples in spring, summer, and autumn. The aquatic and riparian biodiversity of a watershed on the Qinghai-Tibet Plateau could be simultaneously effectively monitored using riverine water eDNA on summer or autumn rainy days. Monitoring bacterial communities was more efficient than monitoring eukaryotic communities. On summer rainy days, 43%-76% of riparian species could be detected in water eDNA samples, 92%-99% of upstream species could be detected in a 1-km downstream eDNA sample, and more than 50% of dead bioinformation (i.e., the bioinformation labeling the biological material without life activity and fertility) could be monitored 4-6 km downstream for eukaryotes and 13-19 km for bacteria. We encourage more studies on the monitoring effectiveness for each taxonomic community in other watersheds with different environmental conditions. We believe that in future ecological research, conservation and management, we could efficiently monitor and assess the aquatic and terrestrial biodiversity by simply using riverine water eDNA samples.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • We added new results in this manuscript. The original manuscript was the results on the seasonal variation of monitoring effectiveness of using riverine water eDNA to simultaneously monitoring aquatic and terrestrial biodiversity. The new revision added the results on the taxonomic variation of monitoring effectiveness of using riverine water eDNA to simultaneously monitoring aquatic and terrestrial biodiversity.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted February 22, 2021.
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Simultaneously monitoring aquatic and riparian biodiversity using riverine water eDNA
Haile Yang, Hao Du, Hongfang Qi, Luxian Yu, Xindong Hou, Hui Zhang, Junyi Li, Jinming Wu, Chengyou Wang, Qiong Zhou, Qiwei Wei
bioRxiv 2020.06.20.162388; doi: https://doi.org/10.1101/2020.06.20.162388
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Simultaneously monitoring aquatic and riparian biodiversity using riverine water eDNA
Haile Yang, Hao Du, Hongfang Qi, Luxian Yu, Xindong Hou, Hui Zhang, Junyi Li, Jinming Wu, Chengyou Wang, Qiong Zhou, Qiwei Wei
bioRxiv 2020.06.20.162388; doi: https://doi.org/10.1101/2020.06.20.162388

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