Compact and automated eDNA sampler for in situ monitoring of marine environments

被引:9
|
作者
Hendricks, Andre [1 ]
Mackie, Connor M. [2 ]
Luy, Edward [2 ]
Sonnichsen, Colin [1 ,2 ]
Smith, James [2 ]
Grundke, Iain [2 ]
Tavasoli, Mahtab [3 ]
Furlong, Arnold [2 ]
Beiko, Robert G. [2 ,4 ]
LaRoche, Julie [2 ,5 ]
Sieben, Vincent [1 ,2 ]
机构
[1] Dalhousie Univ, Dept Elect & Comp Engn, Halifax, NS, Canada
[2] Dartmouth Ocean Technol Inc, Dartmouth, NS, Canada
[3] Dalhousie Univ, Dept Pharmacol, Halifax, NS, Canada
[4] Dalhousie Univ, Fac Comp Sci, Halifax, NS, Canada
[5] Dalhousie Univ, Dept Biol, Halifax, NS, Canada
基金
加拿大自然科学与工程研究理事会; 加拿大创新基金会;
关键词
RIBOSOMAL-RNA GENE; MICROBES; DATABASE; SILVA;
D O I
10.1038/s41598-023-32310-3
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
Using environmental DNA (eDNA) to monitor biodiversity in aquatic environments is becoming an efficient and cost-effective alternative to other methods such as visual and acoustic identification. Until recently, eDNA sampling was accomplished primarily through manual sampling methods; however, with technological advances, automated samplers are being developed to make sampling easier and more accessible. This paper describes a new eDNA sampler capable of self-cleaning and multi-sample capture and preservation, all within a single unit capable of being deployed by a single person. The first in-field test of this sampler took place in the Bedford Basin, Nova Scotia, Canada alongside parallel samples taken using the typical Niskin bottle collection and post-collection filtration method. Both methods were able to capture the same aquatic microbial community and counts of representative DNA sequences were well correlated between methods with R-2 values ranging from 0.71-0.93. The two collection methods returned the same top 10 families in near identical relative abundance, demonstrating that the sampler was able to capture the same community composition of common microbes as the Niskin. The presented eDNA sampler provides a robust alternative to manual sampling methods, is amenable to autonomous vehicle payload constraints, and will facilitate persistent monitoring of remote and inaccessible sites.
引用
收藏
页数:13
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