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X-WR-CALNAME;VALUE=TEXT:Hillery Metz Thesis Defense (Hopi Hoekstra Lab)
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SUMMARY:Hillery Metz Thesis Defense (Hopi Hoekstra Lab)
DESCRIPTION:<p>	<!--break--><strong>Title:</strong> The genetic basis of behavior:  burrow construction in deer mice (genus<em>Peromyscus</em>)</p><p>	<strong>Abstract:</strong> Understanding how complex, adaptive behavior evolves is a major goal of biological research. Phenotypic differences between closely-related species often arise due to evolution by natural selection and can be a powerful resource for understanding biological diversity and its mechanistic underpinnings. In this dissertation, I capitalize on striking behavioral differences between two interfertile sister species of <em>Peromyscus</em>rodents. I pursue the proximate mechanisms underlying this behavioral adaptation by investigating both the ontogeny and genetics of innate differences in burrow construction behavior in <em>Peromyscus polionotus </em>and<em> P. maniculatus.</em></p><p>	In Chapter 1, I compare the ontogeny of burrow construction behavior of <em>Peromyscus polionotus </em>and<em> P. maniculatus </em>across early development.  I find that <em>P. polionotus</em> begins burrowing precociously (as early as 17 days of age) compared to <em>P. maniculatus</em> (27 days of age), despite <em>P. polionotus</em> being physically smaller and less active in a wheel running assay. Furthermore, juvenile <em>P. polionotus</em> constructed long burrows complete with species-specific escape tunnels. Interspecific cross-fostering did not alter the developmental trajectory of either species, indicating that these differences are innate. Moreover, F<span>1</span> hybrids followed the behavioral ontogeny of <em>P. polionotus</em>, indicating that precocious burrow construction segregates in a <em>P. polionotus</em>-dominant manner. Finally, I show that a quantitative trait locus (QTL) associated with adult tunnel length in these species is predictive of precocious digging in recombinant F<span>2</span> hybrids, demonstrating that either a single pleiotropic locus or a group of tightly-linked genes control behavioral differences across life stages in <em>P. polionotus</em>.</p><p>	                In Chapter 2, I dissect the genetic architecture of this complex behavior in adult animals using an experimental cross. By introgressing the burrow architecture of <em>P. polionotus</em> into the genetic background of <em>P. maniculatus, </em>I analyze the underlying genetic architecture of differences in burrowing behavior, and show that escape tunnels are likely a threshold trait. Finally, I use a novel image-based analysis to collect measurements of burrow shape and demonstrate the utility of a more rigorous measurement of extended phenotypes.</p><p>	                Finally, in Chapter 3, I combine two forward-genetics approaches—QTL mapping and transcriptome analysis—to nominate specific candidate genes for the differences in burrowing behavior between <em>P. polionotus </em>and<em> P. maniculatus</em>. Using a large advanced backcross mapping population (n=751), I detect five QTL contributing to differences in burrow architecture between these species: three loci for entrance tunnel length variation, and two loci for escape tunnel length. In the transcriptome study, I focus on gene expression in F<span>1</span> hybrids to detect allele-specific expression (ASE), as ASE in an F<span>1 </span>hybrid indicates <em>cis</em>-regulatory differences between the parental lineages.  I find widespread bias favoring expression from the <em>P. polionotus</em>-allele in F<span>1</span> hybrid brains, which may be a molecular reflection of <em>P. polionotus</em>-like burrowing behavior ofhybrids. Finally, I use ASE to nominate candidate genes within the detected QTL regions, and find genes related to behavioral disorders, circadian rhythms, and activity patterns; these genes represent promising candidates for future functional studies.</p>
LOCATION:HUH Seminar Room 125, 22 Divinity Avenue
STATUS:CONFIRMED
DTSTART:20150429T143000Z
DTEND:20150429T143000Z
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