%0 Journal Article
%T Multivariate analysis reveals environmental and genetic determinants of element covariation in the maize grain ionome
%A Alexandra Asaro Fikas
%A Brian P. Dilkes
%A Ivan Baxter
%J Archive of "Plant Direct".
%D 2019
%R 10.1002/pld3.139
%X The integrated responses of biological systems to genetic and environmental variation result in substantial covariance in multiple phenotypes. The resultant pleiotropy, environmental effects, and genotypeŠ\byŠ\environmental interactions (GxE) are foundational to our understanding of biology and genetics. Yet, the treatment of correlated characters, and the identification of the genes encoding functions that generate this covariance, has lagged. As a test case for analyzing the genetic basis underlying multiple correlated traits, we analyzed maize kernel ionomes from Intermated B73 x Mo17 (IBM) recombinant inbred populations grown in 10 environments. Plants obtain elements from the soil through genetic and biochemical pathways responsive to physiological state and environment. Most perturbations affect multiple elements which leads the ionome, the full complement of mineral nutrients in an organism, to vary as an integrated network rather than a set of distinct single elements. We compared quantitative trait loci (QTL) determining singleŠ\element variation to QTL that predict variation in principal components (PCs) of multipleŠ\element covariance. SingleŠ\element and multivariate approaches detected partially overlapping sets of loci. QTL influencing trait covariation were detected at loci that were not found by mapping singleŠ\element traits. Moreover, this approach permitted testing environmental components of trait covariance, and identified multiŠ\element traits that were determined by both genetic and environmental factors as well as genotypeŠ\byŠ\environment interactions. Growth environment had a profound effect on the elemental profiles and multiŠ\element phenotypes were significantly correlated with specific environmental variables
%K genotypeŠ\byŠ\environment interactions
%K ionomics
%K maize
%K mineral nutrients
%K multivariate traits
%U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6589523/