Back

First genetic detection and ongoing eDNA monitoring of the golden mussel (Limnoperna fortunei) in California

Stinson, S. A.; Fiske, A.; Funk, E. C.; Kulig, E.; Brown, S.; Gille, D.; Schreier, A.; Sanders, L.; Nagarajan, R. P.; Barney, B.; Baerwald, M.

2026-06-23 genetics
10.64898/2026.06.18.733028 bioRxiv
Show abstract

Here, we report the first genetic confirmation of golden mussels (Limnoperna fortunei) in North America, and the subsequent development, optimization, and deployment of golden mussel eDNA monitoring procedures. Aquatic species invasions are economically costly, disrupt ecosystem functionality, and impact native aquatic communities. Early detection of new invasive species enables rapid response via implementation of effective eradication or control measures and is key for reducing harmful outcomes. Initial species detection and taxonomic identification can be aided by genetic methods that have high detection sensitivity and accuracy. Genetic methods such as environmental DNA (eDNA) sampling can be used to detect invasive species before they become established in new systems, providing an early alert system to inform resource managers. Golden mussels were first detected in North America in October 2024 near the Port of Stockton in the San Francisco Estuary (SFE). The SFE is particularly vulnerable to invasion due to the access and connectivity provided by the presence of engineering infrastructure and shipping lanes. Collaborative efforts between public agencies and academic institutions are underway to develop a coordinated detection and response plan. Early detection followed by a rapid response is the best defense against prolific invasive species, such as the golden mussel.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
PLOS ONE
5266 papers in training set
Top 11%
18.1%
2
Environmental DNA
56 papers in training set
Top 0.1%
9.5%
3
FACETS
14 papers in training set
Top 0.1%
6.6%
4
Biological Invasions
14 papers in training set
Top 0.1%
6.1%
5
Journal of Fish Biology
17 papers in training set
Top 0.1%
6.1%
6
Metabarcoding and Metagenomics
14 papers in training set
Top 0.1%
5.4%
50% of probability mass above
7
Molecular Ecology Resources
171 papers in training set
Top 0.5%
4.2%
8
Evolutionary Applications
108 papers in training set
Top 0.5%
3.2%
9
Canadian Journal of Fisheries and Aquatic Sciences
18 papers in training set
Top 0.1%
3.2%
10
Ecology and Evolution
267 papers in training set
Top 2%
3.0%
11
Scientific Reports
3612 papers in training set
Top 39%
2.7%
12
Frontiers in Marine Science
62 papers in training set
Top 0.5%
2.4%
13
Applied and Environmental Microbiology
339 papers in training set
Top 3%
2.4%
14
PeerJ
308 papers in training set
Top 4%
2.1%
15
Ecological Indicators
21 papers in training set
Top 0.3%
1.7%
16
G3: Genes, Genomes, Genetics
252 papers in training set
Top 3%
1.7%
17
Biological Conservation
46 papers in training set
Top 0.6%
1.6%
18
Aquaculture
31 papers in training set
Top 0.3%
1.3%
19
Hydrobiologia
12 papers in training set
Top 0.3%
1.3%
20
G3: Genes|Genomes|Genetics
35 papers in training set
Top 0.3%
1.1%
21
Frontiers in Ecology and Evolution
69 papers in training set
Top 3%
1.0%
22
mSphere
302 papers in training set
Top 7%
0.8%
23
Science of The Total Environment
186 papers in training set
Top 3%
0.8%
24
Water Research
79 papers in training set
Top 1%
0.6%
25
BMC Genomics
406 papers in training set
Top 10%
0.6%
26
Journal of Heredity
42 papers in training set
Top 1%
0.6%
27
Microbiology Spectrum
469 papers in training set
Top 11%
0.6%
28
Molecular Ecology
336 papers in training set
Top 4%
0.6%
29
Journal of Environmental Management
13 papers in training set
Top 0.7%
0.6%