2014
DOI: 10.7287/peerj.preprints.311v1
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Quantitative trait loci for energy balance traits in an advanced intercross line derived from mice divergently selected for heat loss

Abstract: Obesity in human populations, currently a serious health concern, is considered to be the 38 consequence of an energy imbalance in which more energy in calories is consumed than is 39 expended. We used interval mapping techniques to investigate the genetic basis of a number of 40 energy balance traits in an F 11 advanced intercross population of mice created from an original 41 intercross of lines selected for increased and decreased heat loss. We uncovered a total of 137 42 quantitative trait loci (QTLs) for … Show more

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“…It has become easier to identify pleiotropic genes with the advent of reverse-genetic screens and quantitative trait locus (QTL) mapping (Paaby and Rockman 2013) . For example, pleiotropic QTL for diverse growth and fitness traits have been identified in organisms such as yeast (Peltier et al 2019;Jerison et al 2017;Cubillos et al 2011) , Arabidopsis (Fusari et al 2017;McKay, Richards, and Mitchell-Olds 2003;El-Assal et al 2004) , Drosophila (McGuigan et al 2014;Brown et al 2013) , and mice (White et al 2013;Leamy et al 2014;Lin et al 2014) . These studies have led to important questions in the field of evolutionary genetics regarding the 'cost of complexity' (Fisher, n.d.;Orr 2000) , as a single mutation might be beneficial for one trait and harmful for another (Wagner and Zhang 2011) .…”
Section: Introductionmentioning
confidence: 99%
“…It has become easier to identify pleiotropic genes with the advent of reverse-genetic screens and quantitative trait locus (QTL) mapping (Paaby and Rockman 2013) . For example, pleiotropic QTL for diverse growth and fitness traits have been identified in organisms such as yeast (Peltier et al 2019;Jerison et al 2017;Cubillos et al 2011) , Arabidopsis (Fusari et al 2017;McKay, Richards, and Mitchell-Olds 2003;El-Assal et al 2004) , Drosophila (McGuigan et al 2014;Brown et al 2013) , and mice (White et al 2013;Leamy et al 2014;Lin et al 2014) . These studies have led to important questions in the field of evolutionary genetics regarding the 'cost of complexity' (Fisher, n.d.;Orr 2000) , as a single mutation might be beneficial for one trait and harmful for another (Wagner and Zhang 2011) .…”
Section: Introductionmentioning
confidence: 99%