2 Works

Data from: Evolved phenological cueing strategies show variable responses to climate change

Collin B. Edwards & Louie H. Yang
Several studies have documented a global pattern of phenological advancement that is consistent with ongoing climate change. However, the magnitude of these phenological shifts is highly variable across taxa and locations. This variability of phenological responses has been difficult to explain mechanistically. To examine how the evolution of multi-trait cueing strategies could produce variable responses to climate change, we constructed a model in which organisms evolve strategies that integrate multiple environmental cues to inform anticipatory...

Data for: Genetic architecture modulates diet induced hepatic mRNA and miRNA expression profiles

Excel Que, Kristen L. James, Alisha R. Coffey, Tangi L. Smallwood, Jody Albright, M. Nazmul Huda, Daniel Pomp, Praveen Sethupathy & Brian J. Bennett
Genetic approaches in model organisms have consistently demonstrated that molecular traits such as gene expression are under genetic regulation, similar to clinical traits. The resulting expression quantitative trait loci (eQTL) have revolutionized our understanding of genetic regulation and identified numerous candidate genes for clinically-relevant traits. More recently, these analyses have been extended to other molecular traits such as protein abundance, metabolite levels, and miRNA expression. Here we performed global hepatic eQTL and miRNA expression quantitative...

Registration Year

  • 2020
    2

Resource Types

  • Dataset
    2

Affiliations

  • Cornell University
    2
  • University of California, Davis
    2
  • University of North Carolina
    1
  • University of North Carolina at Chapel Hill
    1
  • University of North Carolina at Asheville
    1