The xanthophyll composition of biofortified maize (Zea mays Sp.) does not influence the bioefficacy of provitamin a carotenoids in Mongolian gerbils (Meriones unguiculatus).

Maize has been targeted for biofortification with provitamin A carotenoids through traditional breeding. Two studies were conducted in gerbils to evaluate factors that may affect provitamin A activity. Maize diets had equal theoretical concentrations of vitamin A (VA) assuming 100% bioefficacy. Study 1 ( n = 57) varied the ratio of beta-cryptoxanthin and beta-carotene but maintained the same theoretical VA. Study 2 ( n = 67) varied lutein and zeaxanthin. Other treatments were oil, VA, or beta-carotene doses. Serum and livers were analyzed for VA and carotenoids. In study 1, total liver VA did not differ among the maize groups. In study 2, total liver VA of the VA and maize groups were higher than controls ( P < 0.05). Conversion factors were 2.1-3.3 mug beta-carotene equivalents to 1 mug retinol. Twice the molar amount of beta-cryptoxanthin was as efficacious as beta-carotene and the proportion of beta-cryptoxanthin or xanthophylls did not appreciably change the VA value of biofortified maize.

The genetic architecture of response to long-term artificial selection for oil concentration in the maize kernel.

In one of the longest-running experiments in biology, researchers at the University of Illinois have selected for altered composition of the maize kernel since 1896. Here we use an association study to infer the genetic basis of dramatic changes that occurred in response to selection for changes in oil concentration. The study population was produced by a cross between the high- and low-selection lines at generation 70, followed by 10 generations of random mating and the derivation of 500 lines by selfing. These lines were genotyped for 488 genetic markers and the oil concentration was evaluated in replicated field trials. Three methods of analysis were tested in simulations for ability to detect quantitative trait loci (QTL). The most effective method was model selection in multiple regression. This method detected approximately 50 QTL accounting for approximately 50% of the genetic variance, suggesting that >50 QTL are involved. The QTL effect estimates are small and largely additive. About 20% of the QTL have negative effects (i.e., not predicted by the parental difference), which is consistent with hitchhiking and small population size during selection. The large number of QTL detected accounts for the smooth and sustained response to selection throughout the twentieth century.