Effectiveness assessment of using riverine water eDNA to simultaneously monitor the riverine and riparian biodiversity information

• Published in: Scientific reports Vol. 11; no. 1; pp. 24241 - 11
• Main Authors: Yang, Haile, Du, Hao, Qi, Hongfang, Yu, Luxian, Hou, Xindong, Zhang, Hui, Li, Junyi, Wu, Jinming, Wang, Chengyou, Zhou, Qiong, Wei, Qiwei
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 20.12.2021; Nature Publishing Group; Nature Portfolio
• Subjects: 631/158; 704/158; 704/172; Biodiversity; Case studies; Classification; DNA Barcoding, Taxonomic - methods; DNA, Environmental - analysis; Ecology; Environment; Environmental DNA; Environmental Monitoring - methods; Eukaryota - genetics; Fertility; Humanities and Social Sciences; Monitoring; multidisciplinary; Rain; Reproducibility of Results; Rivers; Science; Science (multidisciplinary); Seasons; Summer; Water - chemistry
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-021-03733-7

Both aquatic and terrestrial biodiversity information can be detected in riverine water environmental DNA (eDNA). However, the effectiveness of using riverine water eDNA to simultaneously monitor the riverine and terrestrial biodiversity information remains unidentified. Here, we proposed that the monitoring effectiveness could be approximated by the transportation effectiveness of land-to-river and upstream-to-downstream biodiversity information flows and described by three new indicators. Subsequently, we conducted a case study in a watershed on the Qinghai–Tibet Plateau. The results demonstrated that there was higher monitoring effectiveness on summer or autumn rainy days than in other seasons and weather conditions. The monitoring of the bacterial biodiversity information was more efficient than the monitoring of the eukaryotic biodiversity information. On summer rainy days, 43–76% of species information in riparian sites could be detected in adjacent riverine water eDNA samples, 92–99% of species information in riverine sites could be detected in a 1-km downstream eDNA sample, and half of dead bioinformation (the bioinformation labeling the biological material that lacked life activity and fertility) could be monitored 4–6 km downstream for eukaryotes and 13–19 km downstream for bacteria. The current study provided reference method and data for future monitoring projects design and for future monitoring results evaluation.