**The title, authors, and abstract for this completion report are
provided below. For a copy of the completion report, please contact the
GLFC via e-mail or via telephone
at 734-662-3209**
Mixed-stock analysis
of Lake Michigan’s lake whitefish commercial fishery and historical integrity
of resolved genetic stocks
Ryan
Andvik2, Lucas Nathan2, Justin VanDeHey3,
Randall M. Claramunt4, Scott Hansen5, and Trent Sutton6
2
WI Cooperative
Fishery Research Unit, College of Natural Resources, University of Wisconsin-Stevens
Point, 800 Reserve Street, Stevens Point, WI 54481
3
South Dakota State
University Department of Natural Resource Management Northern Plains Biostress Laboratory P O Box 214B, Brookings, SD 57007
4
Michigan Department of Natural Resources, Charlevoix Fisheries
Research Station, 96 Grant St., Charlevoix, MI 49720
5
Wisconsin Department of Natural Resources, 110 South Neenah Ave.,
Sturgeon Bay, WI 54235
6
School of Fisheries and Ocean Science, University
of Alaska-Fairbanks, 905 Koyokuk Dr., Fairbanks, AK
99775
Abstract
Six genetic stocks of lake whitefish
exist in Lake Michigan representing regional spawning aggregates with
genetically-distinct characteristics. Concerns exist about the potential
mixed-stock characteristics of Lake Michigan’s lake whitefish commercial
fishery, the temporal stability of these six stocks, and the impacts these two
issues have on stock-specific management of this resource. The genetic
stock-structure model and microsatellite reference database for lake whitefish spawning aggregates in Lake Michigan provides
a framework for addressing some of these key information gaps. The objectives
of this research were (1) to use multi-locus microsatellite data and mixed
stock analysis to identify the stock of origin for lake whitefish sampled from
the 2009-2010 Lake Michigan commercial harvest, and (2) to determine if
contemporary genetic stock boundaries are consistent with historical genetic
structure in Lake Michigan lake whitefish using archived scale samples from the
historic commercial harvest. Mixed-stock analysis was conducted on 18
commercial harvest samples collected from Spring
2009-Fall 2010. Results showed considerable variability in stock composition
over the lake with, on average, 2-4 genetic stocks contributing large
proportions to all harvest samples. The predominant stocks were the North and
Moonlight Bay stock (NMB), Big Bay de Noc stock (BBN),
the Northern stock (NOR; Epoufette and Naubinway), and the Northeastern stock (NOE; Grand Traverse
Bay and Hog Island). For most samples, the dominant stock harvested was <60%
showing significant admixture in most samples. Samples from WFM-08 were the most
homogeneous of all samples with 80.3% of the sample estimated to be from the
Southern stock (SOU; Saugatuk, Ludington, Muskegon,
MI). Multiple samples surveyed from NMB and BBN across spring, summer, and fall
of both sample years showed changes between seasons in some years, and between
years. Interestingly, samples from zone WI-02 consistently were estimated to be
comprised of a majority of BBN fish as opposed to the geographically proximate
NMB stock. The findings have implications for stock-specific management and the
allocation of fish to various quotas as these data show in many cases, not even
a majority (≥50%) of sampled fish were from the geographically proximate
stock. The temporal stability of contemporary stocks was confirmed with a
majority consensus of chi-square tests of allele counts, genic
differentiation, FST, Dest,
and a neighbor-joining tree of genetic distance. Divergence between temporal
samples and contemporary samples suggest changes have occurred from 1973 to
present however in all cases, contemporary stocks were
most similar to temporal samples from the geographically proximate stock.
Therefore, this observed temporal stability supports the previously developed
genetic stock-model.