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Very little is known about how domestication was constrained by the quantitative genetic architecture of crop progenitors and how quantitative genetic architecture was altered by domestication. Yang et al. [C. J. Yang et al. , Proc. Natl. Acad. Sci. U.S.A. 116, 5643–5652 (2019)] drew multiple conclusions about how genetic architecture influenced and was altered by maize domestication based on one sympatric pair of teosinte and maize populations. To test the generality of their conclusions, we assayed the structure of genetic variances, genetic correlations among traits, strength of selection during domestication, and diversity in genetic architecture within teosinte and maize. Our results confirm that additive genetic variance is decreased, while dominance genetic variance is increased, during maize domestication. The genetic correlations are moderately conserved among traits between teosinte and maize, while the genetic variance–covariance matrices ( G -matrices) of teosinte and maize are quite different, primarily due to changes in the submatrix for reproductive traits. The inferred long-term selection intensities during domestication were weak, and the neutral hypothesis was rejected for reproductive and environmental response traits, suggesting that they were targets of selection during domestication. The G -matrix of teosinte imposed considerable constraint on selection during the early domestication process, and constraint increased further along the domestication trajectory. Finally, we assayed variation among populations and observed that genetic architecture is generally conserved among populations within teosinte and maize but is radically different between teosinte and maize. While selection drove changes in essentially all traits between teosinte and maize, selection explains little of the difference in domestication traits among populations within teosinte or maize. 

The process of evolution under domestication has been studied using phylogenetics, population genetics–genomics, quantitative trait locus (QTL) mapping, gene expression assays, and archaeology. Here, we apply an evolutionary quantitative genetic approach to understand the constraints imposed by the genetic architecture of trait variation in teosinte, the wild ancestor of maize, and the consequences of domestication on genetic architecture. Using modern teosinte and maize landrace populations as proxies for the ancestor and domesticate, respectively, we estimated heritabilities, additive and dominance genetic variances, genetic-by-environment variances, genetic correlations, and genetic covariances for 18 domestication-related traits using realized genomic relationships estimated from genome-wide markers. We found a reduction in heritabilities across most traits, and the reduction is stronger in reproductive traits (size and numbers of grains and ears) than vegetative traits. We observed larger depletion in additive genetic variance than dominance genetic variance. Selection intensities during domestication were weak for all traits, with reproductive traits showing the highest values. For 17 of 18 traits, neutral divergence is rejected, suggesting they were targets of selection during domestication. Yield (total grain weight) per plant is the sole trait that selection does not appear to have improved in maize relative to teosinte. From a multivariate evolution perspective, we identified a strong, nonneutral divergence between teosinte and maize landrace genetic variance–covariance matrices (G-matrices). While the structure of G-matrix in teosinte posed considerable genetic constraint on early domestication, the maize landrace G-matrix indicates that the degree of constraint is more unfavorable for further evolution along the same trajectory.

 

Polyimide/silicon dioxide nanocomposites were tested for their dielectric strength against nanofiller concentrations between 0% and 14%. The sol–gel process was used forin situgeneration of silicon dioxide nanoparticles in a polyamic acid host matrix. Spin‐coated and imidized samples with approximately 15  μm in thickness were then subjected to dielectric breakdown measurements in accordance with ASTM standards. Results showed two distinct regimes of dielectric strength. Higher dielectric withstand capability of nearly 275 kV mm⁻¹was exhibited by samples with 0% and 2% silicon dioxide. Higher concentration samples were dielectrically weaker by approximately 45% at 150 kV mm⁻¹. Broken‐down specimens were examined under optical and electron microscopes. An inverse relationship between nanoparticle concentration and breakdown perforation diameter was observed. Hole sizes decreased gradually from 140 to 40  μm as silicon dioxide content increased from 0% to 6% and ultimately settled near 30  μm with higher concentrations. The testing results, examined through failure analysis, were explained by breakdown behaviors and mechanisms at different size scales. The findings from this project, in context with previous works and theories, can help establish connections of dielectric strength, perforation diameter, and nanofiller concentration for future polymer nanocomposite research. POLYM. ENG. SCI., 59:1897–1904, 2019. © 2019 Society of Plastics Engineers