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Data and R-code for: “Integrating DNA fingerprinting of invasive watermilfoil strains into aquatic vegetation monitoring and assessment”

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Collection period

2018-05-15
2021-05-01

Date completed

2022-08-09

Date updated

Time period coverage

Geographic coverage

Source information

Journal Title

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Volume Title

Title

Data and R-code for: “Integrating DNA fingerprinting of invasive watermilfoil strains into aquatic vegetation monitoring and assessment”

Published Date

2024-06-06

Author Contact

Newman, Raymond M
newma004@umn.edu

Type

Dataset
Field Study Data
Statistical Computing Software Code

Abstract

Invasive Eurasian watermilfoil (Myriophyllum spicatum L.) hybridizes with native northern watermilfoil (Myriophyllum sibiricum Komarov). Previous genetic studies have identified numerous distinct Eurasian and hybrid strains that can differ in their invasiveness (e.g., growth and potential for spread) and response to herbicides. To identify problematic or invasive strains of watermilfoil we assessed the response of different watermilfoil strains to aquatic vegetation management in eight Minnesota lakes over the course of 3 yr. Specifically, we looked for changes in strain composition of watermilfoil populations over time to identify strains of specific interest for further characterization of growth and herbicide response. Eurasian watermilfoil was collected from point intercept surveys (125 to 230 points at each waterbody) before and after herbicide treatments and generally twice per year over 3 years. Plants were idented to genotype using microsatellite markers and changes in genotype occurrence and frequency were assess for changes over time and in response to treatment. Additional details and methods are presented in Gannon et al. 2022.

Description

The raw data (All_Lakes_KAG_020322.csv) are read into DRUM_All_Lakes_KAG_072324.rmd where statistical summaries are printed and saved, data is analyzed and visualizations are produced. All code was written in R, analysis code was subsequently converted to .Rmd file then to the .html file in this repository.

Referenced by

Gannon, K. A., R.M. Newman and R.A. Thum. 2022. Integrating DNA fingerprinting of invasive watermilfoil strains into aquatic vegetation monitoring and assessment. Journal of Aquatic Plant Management 60(1):1-9. https://apms.org/wp-content/uploads/japm-60-01-1-full.pdf

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Publisher

Funding information

Minnesota Aquatic Invasive Species Center, with funding provided by the Minnesota Environmental and Natural Resources Trust Fund, as recommended by the Legislative-Citizen Commission on Minnesota Resources
Montana Agricultural Experiment Station (project MONB00249)
Minnesota Agricultural Experiment Station USDA National Institute of Food and Agriculture (Hatch grant MIN-41-081)
U.S. Army Engineer Research and Development Center (ERDC Cooperative Agreement W912HZ2020060)
Michigan Invasive Species Grant Program (www.michigan.gov/invasives)

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Previously Published Citation

Other identifiers

Suggested citation

Gannon, Kathryn A; Newman, Raymond M; Thum, Ryan A. (2024). Data and R-code for: “Integrating DNA fingerprinting of invasive watermilfoil strains into aquatic vegetation monitoring and assessment”. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/b8v2-0j33.

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