Is (non)parallel evolution driven by (non)parallel selection?

Information

  • NSF Award
  • 2003457
Owner
  • Award Id
    2003457
  • Award Effective Date
    8/11/2019 - 5 years ago
  • Award Expiration Date
    5/31/2021 - 3 years ago
  • Award Amount
    $ 102,115.00
  • Award Instrument
    Standard Grant

Is (non)parallel evolution driven by (non)parallel selection?

How predictable is evolution? Given broadly similar environmental conditions, does natural selection always favor similar traits and genes? If evolution is predictable, then humanity will be better able to anticipate evolutionary changes in diseases, agricultural pests, or species we wish to preserve in the face of environmental change. This study will examine the degree to which evolution is predictable. Specifically, the researchers will test whether the repeated evolution of certain traits in many replicate populations is evidence of similar natural selection, as has been widely assumed but never tested in nature. The work has broad scope, integrating environmental, ecological, morphological, immunological, and genomic data, and so will provide a benchmark for future studies of evolution. Moreover, the study organism -- the threespine stickleback fish -- is abundant, diverse, and well-studied, making it an excellent tool for teaching biology to both K-12 science teachers and their students.<br/><br/>The study asks the following questions: (1) where we observe repeated evolution, is natural selection also very similar?, (2) do immune traits evolve in a predictable manner?, (3) does parallel natural selection act on the same genomic regions?, (4) how thoroughly can we explain genetic responses to selection? To answer these questions, the researchers will place F2 hybrids between lake and stream fish into enclosures in natural habitats, to measure selection on many traits and genomic loci. By repeating these measures of selection in four independent lake-stream pairs, they can, for the first time, evaluate the relationship between parallel selection and parallel evolution in the wild.

  • Program Officer
    Samuel Scheiner
  • Min Amd Letter Date
    12/20/2019 - 5 years ago
  • Max Amd Letter Date
    12/20/2019 - 5 years ago
  • ARRA Amount

Institutions

  • Name
    Loyola University of Chicago
  • City
    CHICAGO
  • State
    IL
  • Country
    United States
  • Address
    1032 W. Sheridan Road
  • Postal Code
    606601537
  • Phone Number
    7735082471

Investigators

  • First Name
    Yoel
  • Last Name
    Stuart
  • Email Address
    ystuart@luc.edu
  • Start Date
    12/20/2019 12:00:00 AM

Program Element

  • Text
    EVOLUTIONARY GENETICS
  • Code
    7378
  • Text
    CLB-Non-Career
  • Code
    9108

Program Reference

  • Text
    EGC EDUCATIONAL ACTIVITIES
  • Code
    1355
  • Text
    RET SUPP-Res Exp for Tchr Supp
  • Code
    7218
  • Text
    BIODIVERSITY AND ECOSYSTEM DYNAMICS
  • Code
    9169
  • Text
    UNDERGRADUATE EDUCATION
  • Code
    9178
  • Text
    REU SUPP-Res Exp for Ugrd Supp
  • Code
    9251
  • Text
    ENVIRONMENT AND GLOBAL CHANGE
  • Text
    SCIENCE, MATH, ENG & TECH EDUCATION