Author:
Doi Hideyuki,Matsuoka Shunsuke,Matsuzaki Shin-ichiro S.,Nagano Mariko,Sato Hirotoshi,Yamanaka Hiroki,Matsuhashi Saeko,Yamamoto Satoshi,Minamoto Toshifumi,Araki Hitoshi,Ikeda Kousuke,Kato Atsuko,Kumei Kouichi,Maki Nobutaka,Mitsuzuka Takashi,Takahara Teruhiko,Toki Kimihito,Ueda Natsuki,Watanabe Takeshi,Yamazoe Kanji,Miya Masaki
Abstract
AbstractAlthough environmental DNA (eDNA) metabarcoding is acknowledged to be an exceptionally useful and powerful tool for monitoring surveys, it has limited applicability, particularly for nationwide surveys. To evaluate the performance of eDNA metabarcoding in broad-scale monitoring, we examined the effects of species ecological/biological traits and ecosystem characteristics on species detection rates and the consequences for community analysis. We conducted eDNA metabarcoding on fish communities in 18 Japanese lakes on a country-wide scale. By comparing species records, we found that certain species traits, including body size, body shape, saltwater tolerance, and habitat preferences, influenced eDNA detection. We also found that the proportion of species detected decreased significantly with an increase in lake surface area, owing to an ecosystem-size effect on species detection. We conclude that species traits, including habitat preferences and body size, and ecosystem size should be taken into consideration when assessing the performance of eDNA metabarcoding in broad-scale monitoring.
Publisher
Cold Spring Harbor Laboratory
Cited by
3 articles.
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