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Research.html
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<a class="navbar-brand" href="index.html">Peter Euclide</a>
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<h1 class="title toc-ignore">Research</h1>
</div>
<p><img src="photos/purdueBoat.jpg" style="width:100%;" align = "top"/></p>
<div
style="display: grid; grid-template-columns: 60% 40%; grid-column-gap: 10px; ">
<div>
<hr />
<div id="molecular-drivers-of-ecotypic-divergence"
class="section level1">
<h1>Molecular drivers of ecotypic divergence</h1>
<hr />
<p>Populations are often comprised of discrete ecotypes with distinct
morphology or behavior in the absence of reproductive isolation. One of
my research objectives is to identify both the molecular mechanisms and
environmental drivers of ecotypic divergence. Understanding how local
adaptation within a population can lead to diverged ecotypes has
important implications for speciation research and the conservation
diversity. My work uses molecular techniques, such as RAD-sequencing and
whole-genome-resequencing, to identify putatively adaptive variance
among ecotypes or populations. Using these approaches, I have been able
to identify SNPs that are linked to lipid content in F2 experimental
lake trout crosses (right) and help to uncover how structural variants
contribute to spawning ecotypes in sockeye salmon.</p>
</div>
</div>
<div>
<p><br/><br/><br/><br/></p>
<div class="figure">
<img src="photos/fat_cors.png" alt="" />
<p class="caption">Correlation between the number of positive effect
alleles at loci putatively associated with lipid content in lake trout
ecotypes.</p>
</div>
</div>
</div>
<hr />
<div
style="display: grid; grid-template-columns: 40% 60%; grid-column-gap: 10px ">
<div>
<p><br/></p>
<p><img src="photos/walleye.jpg" /></p>
<p><img src="photos/IMG_4655.JPG" /></p>
</div>
<div>
<hr />
<div id="improving-management-decisions-with-genetic-data"
class="section level1">
<h1>Improving management decisions with genetic data</h1>
<hr />
<p>Recreational and commercial fisheries are a valuable industry
throughout the world. Exploited fish populations are exposed to a suite
of anthropogenic influences often not experienced by other species, such
as direct harvest, stocking, and translocations. In the Great Lakes,
walleye support a large fishery which has resulted in a patchwork of
natural, stocked, and recovering spawning populations or stocks, each
contributing differently to the overall population abundance. The
complex combination of naturally reproducing and recovering stocks
require managers to consider multiple discrete spawning populations when
estimating stock recruitment and determining sustainable harvest quotas.
My research aims to (1) understand how discrete walleye stocks
throughout the Great Lakes contribute to a large Great Lakes wide
metapopulation, and (2) how spawning site fidelity and dispersal help to
sustain exploited populations and result in local adaptation.</p>
</div>
</div>
</div>
<hr />
<div
style="display: grid; grid-template-columns: 60% 40%; grid-column-gap: 10px; ">
<div>
<hr />
<div id="genetic-consequences-of-habitat-fragmentation"
class="section level1">
<h1><a name="hab-frag"></a>Genetic consequences of habitat
fragmentation</h1>
<hr />
<p>Humans have altered the natural connectivity of fish populations
through constructing damns and causeways that limit fish dispersal and
ultimately gene flow which can lead to population sub-structuring across
a species range. Many barriers affecting species throughout North
America were built recently, and so I work at intercept between
behavioral ecology and evolutionary biology using molecular techniques,
long-term demography, and mark-recapture datasets to understand how
populations have adjusted to lost connectivity. In Lake Champlain, I
used population genetic and fisheries data to describe patterns of
neutral genetic structure and population demographics of fish native to
Lake Champlain which has been fragmented by seven causeways built during
the early twentieth century.</p>
</div>
</div>
<div>
<p><img src="photos/DSC_0447.jpg" /></p>
</div>
</div>
<hr />
<p><br/><br/></p>
<div id="additional-research-areas" class="section level1">
<h1>Additional research areas</h1>
<hr />
<div
style="display: grid; grid-template-columns: 40% 60%; grid-column-gap: 10px; ">
<div>
<p><br/><br/></p>
<p><img src="photos/mysis2.jpg" /></p>
</div>
<div>
<hr />
<div id="applying-trophic-markers-to-trace-movement"
class="section level2">
<h2>Applying trophic markers to trace movement</h2>
<hr />
<p>When populations are not fully reproductively isolated, genetic
markers provide limited information about functional connectivity. Using
trophic markers such as of stable isotopes and basic demographic data
can help identify ecological breaks in population connectivity.</p>
</div>
</div>
</div>
<hr />
<div
style="display: grid; grid-template-columns: 60% 40%; grid-column-gap: 10px; ">
<div>
<hr />
<div id="quantifying-environmental-stressers" class="section level2">
<h2>Quantifying environmental stressers</h2>
<hr />
<p>Understanding how local environment influences individual fitenss is
an important step in determining how species adapt to novel stressors.
One emerging stressor in aquatic habitats is harmful cyanobacteria
blooms. Because cyanobacteria have little nutritional value for
zooplankton, it is possible that higher trophic levels such as fish are
impacted by the influx of nutrition poor cyanobacteria at the base of
the food web. Working with a colleague trained in lipid analysis, we
conducted a two-month experiment to determine how essential fatty acid
poor diets, like what might happen during a long cyanobacteria bloom,
impact fish fatty acid content, swimming performance and
respiration.</p>
</div>
</div>
<div>
<iframe src="https://player.vimeo.com/video/170673352" width="300" height="300" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>
<p>
<a href="https://vimeo.com/170673352">JunkFoodHypothesis</a> from
<a href="https://vimeo.com/user38109713">Victoria Pinheiro</a> on
<a href="https://vimeo.com">Vimeo</a>.
</p>
</div>
</div>
<hr />
</div>
<p>2021 Peter Euclide, [email protected]. All rights reserved.</p>
</div>
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