Sometimes in science you start a project thinking it might be a SMALL project… single focal species, limited geographic area, maybe a year or two of fieldwork, and a nice thesis for a Master’s student. Next thing you know, your freezer is full of hundreds of samples from seven states and two provinces, and you have three count ’em three Master’s students working on different aspects of this “small project.”

Am I complaining? Heck no! This is awesome, and it’s exactly what happened with the Mudpuppy (Necturus maculosus) study that Dave Mifsud and I are collaborating on. Broadly, we had three goals when we started the project.

  • Conduct and assess effectiveness of habitat restoration techniques;
  • Use population genetic analysis to determine whether populations are significantly isolated from one another; and
  • Test whether environmental DNA (eDNA) sampling is a feasible way to detect this species. (This means just taking a water sample and screening for Mudpuppy DNA, rather than actually trapping and handling the animals themselves!)

All of this work was to be conducted within the Huron-Erie Corridor here in Southeast Michigan, and the project was funded by the Great Lakes Fish and Wildlife Restoration Act. The proposal included a ton of amazing collaborators, including folks from the Belle Isle Conservancy, Michigan Department of Natural Resources, U.S. Geological Survey, U.S. Fish and Wildlife Service, and the Michigan Sea Grant. We already had a fantastic team (GO TEAM MUDPUPPY), and from there the project just seemed to take on a life of its own.

mup2 mup

I mean, how can you not love these guys???

We found out-of-state collaborators, and out-of-state collaborators found us. Turns out a lot of biologists across the Midwest are concerned about this species. There is lots of anecdotal evidence suggesting Mudpuppies are in decline throughout the region, but there is not a heck of a lot of good data. We’re hoping we can help change that!

The type of population genetic analysis we’re conducting can be really valuable in informing conservation actions. First, we can figure out if populations are highly isolated and therefore more likely to die out (this seems likely, given that Mudpuppies are fully aquatic and their river homes are frequently fragmented by dams). Second, we can estimate effective population size, and determine if populations have recently undergone major reductions. This would be especially informative in areas that are suspected to have lost large numbers of Mudpuppies due to things like pollution, sedimentation, or overexploitation.

We’re currently in the depths of processing samples, so I can’t report much in the way of results quite yet. My grad student Amber Stedman has been working on the large-scale phylogeography of the species, and so far we seem to be finding a deep division between eastern and western populations from the Great Lakes region. We’re going to end up with an astounding number of samples from Minnesota, due to the efforts of Krista Larson of the Minnesota DNR. Krista wins my award for “Badass Biologist of the Year”… this is how you sample mudpuppies in Minnesota.

krista1 krista2

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All pics above by Krista Larson, Badass Biologist of the Year

I am really excited for what we might learn from these samples. Krista has collected such a large number of samples, and with such great spatial coverage, that we should be able to delineate which populations are at greatest risk of local extinction. That in turn will hopefully help Minnesota biologists determine the best management practices for this species.

This is the research “sweet spot” for me. With amphibians in decline globally, I want to make sure that, as much as possible, the research done in my lab is directly informing conservation actions. Projects like this Mudpuppy work are golden opportunities to collaborate with people both locally and regionally, and hopefully make “real world” contributions to the conservation of this remarkable species.


Published by Katy Greenwald

Professor of Biology at Eastern Michigan University

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