The Genetic Basis of Upland/Lowland Ecotype Divergence in Switchgrass (Panicum virgatum).
The evolution of locally adapted ecotypes is a common phenomenon that generates diversity within plant species. However, we know surprisingly little about the genetic mechanisms underlying the locally adapted traits involved in ecotype formation. The genetic architecture underlying locally adapted traits dictates how an organism will respond to environmental selection pressures, and has major implications for evolutionary ecology, conservation, and crop breeding. To understand the genetic architecture underlying the divergence of switchgrass (Panicum virgatum) ecotypes, we constructed a genetic mapping population through a four-way outbred cross between two northern upland and two southern lowland accessions. Trait segregation in this mapping population was largely consistent with multiple independent loci controlling the suite of traits that characterizes ecotype divergence. We assembled a joint linkage map using ddRADseq, and mapped quantitative trait loci (QTL) for traits that are divergent between ecotypes, including flowering time, plant size, physiological processes, and disease resistance. Overall, we found that most QTL had small to intermediate effects. While we identified colocalizing QTL for multiple traits, we did not find any large-effect QTL that clearly controlled multiple traits through pleiotropy or tight physical linkage. These results indicate that ecologically important traits in switchgrass have a complex genetic basis, and that similar loci may underlie divergence across the geographic range of the ecotypes.
Department of Integrative Biology, The University of Texas at Austin, Texas 78712 ermilano@gmail.com tjuenger@austin.utexas.edu.
Elizabeth R
ER
Milano
Department of Plant Biology, Michigan State University, East Lansing, Michigan 48824.
David B
DB
Lowry
Department of Integrative Biology, The University of Texas at Austin, Texas 78712 ermilano@gmail.com tjuenger@austin.utexas.edu.
Thomas E
TE
Juenger
QTL; flowering time; genetic architecture; local adaptation; trait syndromes