Collection of environmental DNA from stemflow for monitoring arboreal biodiversity: Preliminary validation using lichens

被引:1
作者
Sakata, Ayumi [1 ]
Sado, Tetsuya [1 ]
Oka, Shin-ichiro [2 ]
Ushio, Masayuki [3 ]
Miya, Masaki [1 ]
机构
[1] Nat Hist Museum & Inst, Chiba, Japan
[2] Okinawa Churashima Inst, Okinawa, Japan
[3] Hong Kong Univ Sci & Technol, Kowloon, Clear Water Bay, Hong Kong, Peoples R China
关键词
eDNA; Lichen; Rainwater; Metabarcoding; Forest canopy;
D O I
10.1016/j.mex.2023.102448
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The forest canopy harbors a diverse array of organisms. However, monitoring their biodiversity poses challenges due to limited accessibility and the vast taxonomic diversity. To address these challenges, we present a novel method for capturing arboreal biodiversity by harnessing stemflow as a source of DNA from organisms inhabiting trees. Our method involves encircling the tree trunk with gauze, directing the stemflow along the gauze into a funnel, and collecting it in a plastic bag. We employed dual collection systems to retrieve environmental DNA (eDNA) from the stemflow: the gauze trap, designed to capture macroscopic biological fragments, and the plastic bag trap, which collected the stemflow itself. The trapped fragments and stemflow were separately filtered, and eDNA was subsequently extracted from the filter membranes. To validate our method, we focused on foliose lichens, which are easily observable on tree surfaces. We performed eDNA metabarcoding and successfully detected a majority of the observed foliose lichen species, including those not identified through visual observation alone. center dot We have developed a non-invasive and straightforward method for monitoring arboreal biodiversity by collecting eDNA from stemflow, which has been validated using lichens for its efficacy. center dot This cost-effective approach minimizes disruptions to tree ecosystems and is expected to provide an efficient means of sampling and monitoring arboreal organisms.
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