Deep‐sea sponge derived environmental DNA analysis reveals demersal fish biodiversity of a remote Arctic ecosystem
Deep‐sea sponge derived environmental DNA analysis reveals demersal fish biodiversity of a remote Arctic ecosystem
复制标题
深海海绵衍生的环境 DNA 分析揭示了偏远北极生态系统的底层鱼类生物多样性
作者:
O. B. Brodnicke;H. K. Meyer;K. Busch;J. Xavier;S. Knudsen;P. Møller;U. Hentschel;M. Sweet
The deep‐sea is vast, remote, and largely underexplored. However, methodological advances in environmental DNA (eDNA) surveys could aid in the exploration efforts, such as using sponges as natural eDNA filters for studying fish biodiversity. In this study, we analyzed the eDNA from 116 sponge tissue samples and compared these to 18 water eDNA samples and visual surveys obtained on an Arctic seamount. Across survey methods, we revealed approximately 30% of the species presumed to inhabit this area and 11 fish species were detected via sponge derived eDNA alone. These included commercially important fish such as the Greenland halibut and Atlantic mackerel. Fish eDNA detection was highly variable across sponge samples. Highest detection rates were found in sponges with low microbial activity such as those from the class Hexactinellida. The different survey methods also detected alternate fish communities, highlighted by only one species overlap between the visual surveys and the sponge eDNA samples. Therefore, we conclude that sponge eDNA can be a useful tool for surveying deep‐sea demersal fish communities and it synergises with visual surveys improving overall biodiversity assessments. Datasets such as this can form comprehensive baselines on fish biodiversity across seamounts, which in turn can inform marine management and conservation practices in the regions where such surveys are undertaken.
影响因子:
11.6
作者:
Morato, Telmo;Gonzalez-Irusta, Jose-Manuel;Carreiro-Silva, Marina
通讯作者:
Carreiro-Silva, Marina
影响因子:
16.8
作者:
Danovaro, Roberto;Fanelli, Emanuela;Yasuhara, Moriaki
通讯作者:
Yasuhara, Moriaki
影响因子:
5.6
作者:
ALTSCHUL, SF;GISH, W;LIPMAN, DJ
通讯作者:
LIPMAN, DJ