RT Journal Article
SR Electronic
T1 Effects of species traits and ecosystem characteristics on species detection by eDNA metabarcoding in lake fish communities
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2020.09.25.314336
DO 10.1101/2020.09.25.314336
A1 Hideyuki Doi
A1 Shunsuke Matsuoka
A1 Shin-ichiro S. Matsuzaki
A1 Mariko Nagano
A1 Hirotoshi Sato
A1 Hiroki Yamanaka
A1 Saeko Matsuhashi
A1 Satoshi Yamamoto
A1 Toshifumi Minamoto
A1 Hitoshi Araki
A1 Kousuke Ikeda
A1 Atsuko Kato
A1 Kouichi Kumei
A1 Nobutaka Maki
A1 Takashi Mitsuzuka
A1 Teruhiko Takahara
A1 Kimihito Toki
A1 Natsuki Ueda
A1 Takeshi Watanabe
A1 Kanji Yamazoe
A1 Masaki Miya
YR 2020
UL http://biorxiv.org/content/early/2020/09/26/2020.09.25.314336.abstract
AB Although 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.Competing Interest StatementThe authors have declared no competing interest.