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

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https://hdl.handle.net/11299/263741

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Keywords

genetic monitoring

herbicide resistance evolution

strain identification

Myriophyllum spicatum Eurasian watermilfoil

Myriophyllum sibiricum Northern watermilfoil

Hybrid watermilfoil

Collection period

2018-05-15
2021-05-01

Date completed

2022-08-09

Date updated

Time period coverage

Geographic coverage

Source information

Journal Title

Journal ISSN

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

Authors

Gannon, Kathryn A

Newman, Raymond M

Thum, Ryan A

Group

Minnesota Aquatic Invasive Species Research Center (MAISRC)

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

A. Filename: All_Lakes_KAG_020322.xlsx Short description: Dataset containing year and season, lake, taxon (Eurasian watermilfoil, northern watermilfoil, or hybrid) and strain for each plant sample analyzed. B. Filename: All_Lakes_KAG_020322.R Short description: Code used to pull in complete datasets, separate data by lake, print summary statistics, analyze the data using simulated Chi Squared for each lake, and create visualizations. C. Filename: DRUM_All_Lakes_KAG_020322.rmd Short description: RMD file with all R analysis and output. D. Filename: DRUM_All_Lakes_KAG_020322.html Short description: Html file displaying all R analysis and output. E. Filename: SUPPLEMENTAL_MAPS_081422RNF.pdf Short description: Supplemental maps, with location of watermilfoil strains and herbicide treatments in the study lakes, referred to in publication.

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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Replaces

License

Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/

Publisher

Collections

Data Repository for U of M (DRUM)

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

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://hdl.handle.net/11299/263741.

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