Variation in corn (Zea mays L.) for fatty acid compositions of triglycerides and phospholipids

Maternal effects influencing DNA endoreduplication in developing endosperm of Zea mays

A large proportion of the nuclei in developing endosperm of Zea mays L. undergoes endoreduplication. Nuclear preparations of the entire endosperm from maize kernels of inbred lines, their reciprocal hybrids, and in some cases, F2 and F3 endosperm tissue were evaluated using flow cytometry. Data relative to DNA endoreduplication patterns, percentage of nuclei undergoing endoreduplication, and mean DNA content per nucleus were obtained. The patterns of endoreduplication and extent of DNA amplification differ among some inbreds. In all experiments, the endoreduplication patterns show that the F1 endosperm is more similar to the maternal parent than to the paternal parent. F2 endosperms reveal little difference in endoreduplication patterns among individuals within an F2 family and no more variation than the F1 endosperms. In contrast, F3 endosperms showed greater variation among their endoreduplication patterns. These results indicate a maternal effect on endoreduplication; that is, the genotype of the maternal parent's nuclear genome exerts control over the endoreduplication activities of endosperm tissue.Key words: endosperm, endoreduplication, maternal effect, flow cytometry, Zea mays L.

Quantitative trait locus analysis of fatty acid concentrations in maize

A study was conducted to determine the number and chromosomal location of quantitative trait loci (QTL) influencing the concentration of five fatty acids in 200 F2S1lines derived from an Illinois High Oil (IHO) by Illinois Low Oil (Early Maturity) (ILO(EM)) cross. Restriction fragment length polymorphism (RFLP) analysis was performed on the 200 S1lines and concentrations of palmitic (16:0), stearic (18:0), oleic (18:1), linoleic (18:2), and linolenic (18:3) acids were determined in self-pollinated kernels harvested from plants grown in replicated field trials during 1992 and 1993. A series of 74 cDNA and genomic clones were used and these revealed 80 polymorphic loci spaced, on average, 24 cM apart throughout the maize genome. Analysis of variance detected significant (p < 0.05) associations between several RFLP loci and the concentration of each fatty acid. A total of 15 RFLP loci clustered in 12 chromosomal regions were associated with the concentration of 16:0, 17 loci clustered in 10 regions were associated with the concentration of 18:0, 12 loci clustered in eight regions were associated with the concentration of 18:1 and 18:2, and 17 loci clustered in eight regions were associated with the concentration of 18:3. Multiple linear regression models consisting of four RFLP loci explained 24 and 62% of the total phenotypic and genotypic variation (R2) among the 200 F2S1lines for 16:0, five loci explained 51 and 71% of the variation for 18:0, three loci explained 67 and 79% of the variation for 18:1, two loci explained 67 and 81% of the variation for 18:2, and seven loci explained 52 and 78% of the variation for 18:3 in these 200 F2S1lines. The ratio of 18:1 to 18:2 was tightly interrelated as the same QTL were associated with the concentrations of 18:1 and 18:2. A quantitative trait locus that explained 63% of the phenotypic variation in the ratio of 18:1 to 18:2 is tightly linked to umc65 on chromosome 6 in the region of the linoleic acid1 locus.Key words: maize, fatty acid, oleic, linoleic, RFLP, QTL.

Analysis of cytoplasmic and maternal effects. II. Genetic models for triploid endosperms

Genetic models for quantitative traits of triploid endosperms are proposed for the analysis of direct gene effects, cytoplasmic effects, and maternal gene effects. The maternal effect is partitioned into maternal additive and dominance components. In the full genetic model, the direct effect is partitioned into direct additive and dominance components and high-order dominance component, which are the cumulative effects of three-allele interactions. If the high-order dominance effects are of no importance, a reduced genetic model can be used. Monte Carlo simulations were conducted in this study for demonstrating unbiasedness of estimated variance and covariance components from the MINQUE (0/1) procedure, which is a minimum norm quadratic unbiased estimation (MINQUE) method setting 0 for all the prior covariances and 1 for all the prior variances. Robustness of estimating variance and covariance components for the genetic models was tested by simulations. Both full and reduced genetic models are shown to be robust for estimating variance and covariance components under several situations of no specific effects. Efficiency of predicting random genetic effects for the genetic models by the MINQUE (0/1) procedure was compared with the best linear unbiased prediction (BLUP). A worked example is given to illustrate the use of the reduced genetic model for kernel growth characteristics in corn (Zea mays L.).