QTL × environment interactions underlie adaptive divergence in switchgrass across a large latitudinal gradient

David B. Lowry(Great Lakes Bioenergy Research Center), John T. Lovell(HudsonAlpha Institute for Biotechnology), Li Zhang(The University of Texas at Austin), Jason Bonnette(The University of Texas at Austin), Philip A. Fay(Agricultural Research Service), Robert B. Mitchell(University of Nebraska–Lincoln), John Lloyd‐Reilley(Natural Resources Conservation Service), Arvid R. Boe(South Dakota State University), Yanqi Wu(Oklahoma State University), F. M. Rouquette, R. L. Wynia(Natural Resources Conservation Service), Xiaoyu Weng(The University of Texas at Austin), Kathrine D. Behrman(The University of Texas at Austin), Adam Healey(HudsonAlpha Institute for Biotechnology), Kerrie Barry(Joint Genome Institute), Anna Lipzen(Joint Genome Institute), Diane Bauer(Joint Genome Institute), Aditi Sharma(Joint Genome Institute), Jerry Jenkins(HudsonAlpha Institute for Biotechnology), Jeremy Schmutz(Joint Genome Institute), Felix Fritschi(University of Missouri), Thomas Juenger(The University of Texas at Austin)
Proceedings of the National Academy of Sciences
June 10, 2019
Cited by 111Open Access
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Abstract

Local adaptation is the process by which natural selection drives adaptive phenotypic divergence across environmental gradients. Theory suggests that local adaptation results from genetic trade-offs at individual genetic loci, where adaptation to one set of environmental conditions results in a cost to fitness in alternative environments. However, the degree to which there are costs associated with local adaptation is poorly understood because most of these experiments rely on two-site reciprocal transplant experiments. Here, we quantify the benefits and costs of locally adaptive loci across 17° of latitude in a four-grandparent outbred mapping population in outcrossing switchgrass ( Panicum virgatum L.), an emerging biofuel crop and dominant tallgrass species. We conducted quantitative trait locus (QTL) mapping across 10 sites, ranging from Texas to South Dakota. This analysis revealed that beneficial biomass (fitness) QTL generally incur minimal costs when transplanted to other field sites distributed over a large climatic gradient over the 2 y of our study. Therefore, locally advantageous alleles could potentially be combined across multiple loci through breeding to create high-yielding regionally adapted cultivars.


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