Back

Optimizing an environmental DNA protocol for monitoring threatened Chinook Salmon in the San Francisco Estuary: balancing sensitivity, cost and time.

Sanches, T.; Drauch Scherier, A.

2019-12-10 genetics
10.1101/871368 bioRxiv
Show abstract

Environmental DNA (eDNA) analysis has gained traction as a precise and cost effective method for species and waterways management. To date, publications on eDNA protocol optimization have focused primarily on DNA yield. Therefore, it has not been possible to evaluate the cost and speed of specific components of the eDNA protocol, such as water filtration and DNA extraction method when designing or choosing an eDNA pipeline. At the same time, these two parameters are essential for the experimental design of a project. Here we evaluate and rank different eDNA protocols in the context of Chinook salmon (Oncorhynchus tshawytscha) eDNA detection in an aquatic environment, the San Francisco Estuary. We present a comprehensive evaluation of multiple eDNA protocol parameters, balancing time, cost and DNA yield. For estuarine waters, which are challenging for eDNA studies due to high turbidity, variable salinity, and the presence of PCR inhibitors, we find that a protocol combining glass filters and magnetic beads, along with an extra step for PCR inhibitor removal, is the method that best balances time, cost, and yield. In addition, we provide a generalized decision tree for determining the optimal eDNA protocol for other studies on aquatic systems. Our findings should be applicable to most aquatic environments and provide a clear guide for determining which eDNA pipeline should be used for a given environmental condition. Author SummaryThe use of environmental DNA (eDNA) analysis for monitoring wildlife has steadily grown in recent years. Though, due to differences in the ecology of the environment studied and the novelty of the technique, eDNA currently shows a lack of standards compared to other fields. Here we take a deep look into each step of an eDNA assay, looking at common protocols and comparing their efficiencies in terms of time to process the samples, cost and how much DNA is recovered. We then analyze the data to provide a concise interpretation of best practices given different project constraints. For the conditions of the San Francisco Estuary we suggest the use of glass fiber filtration, the use of paramagnetic beads for DNA extraction and the use of a secondary inhibitor removal. We expect our findings to provide better support for managers to decide their standards ahead of project submission not only for estuarine conditions but for other waterine conditions alike.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Environmental DNA
49 papers in training set
Top 0.1%
28.6%
2
PLOS ONE
4510 papers in training set
Top 8%
19.2%
3
Aquaculture
29 papers in training set
Top 0.1%
4.5%
50% of probability mass above
4
Metabarcoding and Metagenomics
12 papers in training set
Top 0.1%
4.4%
5
Journal of Fish Biology
14 papers in training set
Top 0.1%
3.8%
6
Molecular Ecology Resources
161 papers in training set
Top 0.3%
3.7%
7
Science of The Total Environment
179 papers in training set
Top 2%
3.7%
8
Scientific Reports
3102 papers in training set
Top 49%
2.1%
9
PeerJ
261 papers in training set
Top 5%
1.9%
10
FACETS
11 papers in training set
Top 0.1%
1.9%
11
BMC Genomics
328 papers in training set
Top 3%
1.4%
12
Ecological Indicators
20 papers in training set
Top 0.4%
1.1%
13
Forensic Science International: Genetics
24 papers in training set
Top 0.1%
1.1%
14
Current Protocols
13 papers in training set
Top 0.1%
1.0%
15
Archives of Clinical and Biomedical Research
28 papers in training set
Top 2%
0.9%
16
Biology
43 papers in training set
Top 2%
0.8%
17
BioTechniques
24 papers in training set
Top 0.2%
0.8%
18
Ecology and Evolution
232 papers in training set
Top 4%
0.8%
19
Hydrobiologia
11 papers in training set
Top 0.3%
0.8%
20
Canadian Journal of Fisheries and Aquatic Sciences
14 papers in training set
Top 0.1%
0.8%
21
Frontiers in Marine Science
55 papers in training set
Top 1%
0.7%
22
Applied and Environmental Microbiology
301 papers in training set
Top 3%
0.7%
23
Applied Sciences
24 papers in training set
Top 1%
0.5%
24
BMC Bioinformatics
383 papers in training set
Top 8%
0.5%
25
Frontiers in Ecology and Evolution
60 papers in training set
Top 4%
0.5%
26
Malaria Journal
48 papers in training set
Top 2%
0.5%