About This Project
All organisms shed DNA into the environment (eDNA). Research suggests that detecting aquatic invasive species (AIS) early can be better done with eDNA methods than through conventional means [1]. I am testing different ways of eDNA sampling to identify which is most effective for detecting existing invasive mollusks in Lake Tahoe. This approach could then be used by managers to detect new mollusk invaders, including the golden mussel, which is rapidly spreading throughout California [4].
Ask the Scientists
Join The DiscussionWhat is the context of this research?
AIS can cause significant damage to an ecosystem. Invaders can eat native species or outcompete them, altering entire food webs. Invasive freshwater mollusks such as zebra, quagga, and golden mussels are very efficient filter feeders [1], competing with fishes and other native invertebrates for plankton food. In addition, these mussels cause significant damage to human infrastructure – they latch onto hard surfaces such as marina infrastructure, the insides of water pipes, and boat hulls. Control of these mussels can be extremely expensive, with ~$51 billion spent on invasive zebra and quagga mussel management in North America and Europe between 1980 and 2020 [2]. Although Lake Tahoe has only two invasive mollusk species currently (Corbicula fluminea and Potamopyrgus antipodarum), the high number of visitors from throughout the nation (including areas infested with zebra, quagga, and golden mussels) and warming water temperatures increase the risk of invasion [3].
What is the significance of this project?
The spread and proliferation of invasive species is considered one of the greatest threats to biodiversity globally [1]. With average temperatures increasing faster in montane regions compared to adjacent lower elevation regions [2,3], unique high-elevation aquatic communities like the one present in Lake Tahoe are more susceptible than ever to invasive species establishment.
Compared to a delayed management response, early preventative measures to reduce the establishment and spread of AIS can save trillions of dollars in a few decades [4] . Our project will develop the best methods for detecting mollusks in Lake Tahoe from their eDNA so that if/when new invasive mollusks are introduced, regular monitoring will detect them before they spread and establish.
What are the goals of the project?
The goal of this project is to compare our ability to detect Corbicula and Potamopyrgus, the invasive mollusks already prevalent in Lake Tahoe, as well as other invasive species, by comparing detections from different sampling locations, times, and mediums. I will determine 1) what lake region is best to sample (nearshore, away from shore in the water column, or away from shore near the bottom of the lake), 2) when it is best to sample (when the lake is stratified or mixing), and 3) whether water or sediment is the best sample type to detect eDNA. To answer these questions, I have collected 336 water samples from different lake regions in mixed and stratified seasons as well as 42 littoral sediment samples. At this stage in my project, I am looking for funds specifically to detect invasive mollusk eDNA. When the eDNA is sequenced, I’ll use computational methods to detect sequences specific to invasive mollusks and see which of these sampling parameters are best for detection.
Budget
My salary is supported by a graduate student fellowship from the UC Davis Tahoe Environmental Research Center and I currently have funding for one sequencing lane. This money will fund the supplies I need for extracting eDNA from the collected winter water and sediment samples and for preparing a metabarcoding library with a primer that targets mollusks.
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Project Timeline
Extractions of field samples will be completed before 2027. Metabarcoding and sequencing will occur in 2027, data analysis, creation of figures, and manuscript writing will be completed by summer 2027.
Aug 10, 2026
Project Launched
Nov 30, 2026
Extract 168 water and 42 sediment samples
Feb 26, 2027
Complete Metabarcoding of samples
May 31, 2027
Bioinformatics and Data Analysis completed
Aug 27, 2027
Figure creation and manuscript writing
Meet the Team
Affiliates
Affiliates
Grace Rosburg-Francot
My research focuses on using environmental DNA(eDNA) methods to better inform conservation management in the Sierra Nevada.
My previous work with eDNA methods used DNA metabarcoding to measure prey DNA from the scats of sympatric Sierra Nevada mesopredators. This data highlighted how the survival and persistence of the endangered Sierra Nevada red fox may depend closely on the continued availability of subalpine-adapted prey species, particularly as climate change allows generalist competitors to become more numerous at higher elevations.
Currently, I am assessing how different lake regions and dynamic lake conditions affect eDNA detection of aquatic species in Lake Tahoe. The data from this project will help facilitate a better understanding of the most effective eDNA sampling methods for future eDNA monitoring of aquatic invasive species (AIS).
My next goal is to use eDNA monitoring to measure how elevational gradients affect the presence of AIS and native aquatic species throughout reservoirs in the Sierra Nevada.
I grew up in South Lake Tahoe and graduated from South Tahoe High School class of 2015. I received a Bachelor of Science in Ecology and Evolution from UC Santa Barbara in 2019. Before starting graduate school at UC Davis, I worked with the US Forest Service to study Southern California stream habitats and endangered steelhead trout populations, as well as with the US Geological Survey to collect data on the greater sage-grouse in the Great Basin of Nevada. During my free time, I love to hike, ski, swim, mountain bike, and backpack in the Sierras.
https://doi.org/10.1111/mec.70...
Andrea Schreier
I am an applied animal geneticist who uses and develops genetic/genomic tools to answer questions informing the conservation and management of wild populations. I am particularly excited about developing and applying non-invasive genetic approaches such as environmental DNA detection and CRISPR-based species identification to answer conservation questions.
Lab Notes
Nothing posted yet.
Project Backers
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