Evaluating maize phenotypic variance, heritability, and yield relationships at multiple biological scales across agronomically relevant environments.

A challenge to improve an integrative phenotype, like yield, is the interaction between the broad range of possible molecular and physiological traits that contribute to yield and the multitude of potential environmental conditions in which they are expressed. This study collected data on 31 phenotypic traits, 83 annotated metabolites, and nearly 22,000 transcripts from a set of 57 diverse, commercially relevant maize hybrids across three years in central U.S. Corn Belt environments. Although variability in characteristics created a complex picture of how traits interact produce yield, phenotypic traits and gene expression were more consistent across environments, while metabolite levels showed low repeatability. Phenology traits, such as green leaf number and grain moisture and whole plant nitrogen content showed the most consistent correlation with yield. A machine learning predictive analysis of phenotypic traits revealed that ear traits, phenology, and root traits were most important to predicting yield. Analysis suggested little correlation between biomass traits and yield, suggesting there is more of a sink limitation to yield under the conditions studied here. This work suggests that continued improvement of maize yields requires a strong understanding of baseline variation of plant characteristics across commercially-relevant germplasm to drive strategies for consistently improving yield.

Investigation of biochemical diversity in a soybean lineage representing 35 years of breeding.

This paper reports an assessment of seed biochemical and metabolite variability and diversity in a series of nine soybean varieties; all lines share the same genetic lineage but represent ∼35 years of breeding (launch years 1972-2008) and differing yield potentials. These varieties, including six conventional and three glyphosate-tolerant lines, were grown concurrently at two replicated field sites in the United States during the 2011 growing season, and seeds were harvested at maturity. A compositional assessment included measurement of proximates, amino acids, fatty acids, tocopherols, isoflavones, saccharides, organic acids, and selected phytohormones. Statistical analysis included application of principal variance component analysis (PVCA) to investigate the interrelationships among compositional components from these soybean varieties and the impacts of location (environment) and pedigree on variability of these components. Results demonstrated that (i) some biochemical analytes showed trends (either increased or decreased) with launch year and/or yield, (ii) some analytes varied according to variety but showed no trend with launch year and/or yield, and (iii) almost all analytes showed extensive variation within and across sites. In summary, varietal development of high-yielding soybean, as represented in this study, has been accompanied by compositional changes but these are typically modest relative to environmental factors.

Principal variance component analysis of crop composition data: a case study on herbicide-tolerant cotton.

Compositional studies on genetically modified (GM) and non-GM crops have consistently demonstrated that their respective levels of key nutrients and antinutrients are remarkably similar and that other factors such as germplasm and environment contribute more to compositional variability than transgenic breeding. We propose that graphical and statistical approaches that can provide meaningful evaluations of the relative impact of different factors to compositional variability may offer advantages over traditional frequentist testing. A case study on the novel application of principal variance component analysis (PVCA) in a compositional assessment of herbicide-tolerant GM cotton is presented. Results of the traditional analysis of variance approach confirmed the compositional equivalence of the GM and non-GM cotton. The multivariate approach of PVCA provided further information on the impact of location and germplasm on compositional variability relative to GM.

Impact of genetics and environment on the metabolite composition of maize grain.

This study sought to assess genetic and environmental impacts on the metabolite composition of maize grain. Gas chromatography coupled to time-of-flight mass spectrometry (GC-TOF-MS) measured 119 identified metabolites including free amino acids, free fatty acids, sugars, organic acids, and other small molecules in a range of hybrids derived from 48 inbred lines crossed against two different tester lines (from the C103 and Iodent heterotic groups) and grown at three locations in Iowa. It was reasoned that expanded metabolite coverage would contribute to a comprehensive evaluation of the grain metabolome, its degree of variability, and, in principle, its relationship to other compositional and agronomic features. The metabolic profiling results established that the small molecule metabolite pool is highly dependent on genotypic variation and that levels of certain metabolite classes may have an inverse genotypic relationship to each other. Different metabolic phenotypes were clearly associated with the two distinct tester populations. Overall, grain from the C103 lines contained higher levels of free fatty acids and organic acids, whereas grain from the Iodent lines were associated with higher levels of amino acids and carbohydrates. In addition, the fold-range of genotype mean values [composed of six samples each (two tester crosses per inbred x three field sites)] for identified metabolites ranged from approximately 1.5- to 93-fold. Interestingly, some grain metabolites showed a non-normal distribution over the entire corn population, which could, at least in part, be attributed to large differences in metabolite values within specific inbred crosses relative to other inbred sets. This study suggests a potential role for metabolic profiling in assisting the process of selecting elite germplasm in biotechnology development, or marker-assisted breeding.

Metabolite analyses of grain from maize hybrids grown in the United States under drought and watered conditions during the 2002 field season.

Understanding natural variation in the composition of conventional crop germplasms is critical in establishing a baseline for comparison of biotechnology-derived crops. This is particularly relevant to such traits as tolerance to drought stress. Thus, there is both a need to understand the contribution of stress conditions to natural variation in plant nutritional components and to determine whether levels of small molecule metabolites such as osmoprotectants and stress metabolites are also affected. As a first step in developing such information for maize, seven conventional hybrids were grown under different moisture regimens and the impact of moisture on composition was assessed. The regimens included well-watered conditions, water restriction during the vegetative phase, and water restriction during grain fill. Compositional analyses of the harvested grain included assessments of the levels of proximates (moisture, protein, oil, starch) and small molecule metabolites such as fatty acids, free amino acids, organic acids, sugars, total glycerol, glycine betaine, and abscisic acid. Ranges for these analytes were determined across all moisture regimens, and the effect of the different water regimens on these analytes was also evaluated. The number and type of grain analytes that showed statistically significant differences in levels between different water regimens differed quite markedly by maize hybrid. However, the magnitude of mean differences between well-watered and water-restricted samples was typically small, and statistically significant differences for any given analyte were typically observed in only one to three of the seven maize hybrids. Only two analytes, free glutamine and free proline, showed a significant drought-induced difference in at least four maize hybrids.

Impact of genetics and environment on nutritional and metabolite components of maize grain.

The Organization for Economic Co-operation and Development (OECD) recommends the measurement of specific plant components for compositional assessments of new biotechnology-derived crops. These components include proximates, nutrients, antinutrients, and certain crop-specific secondary metabolites. A considerable literature on the natural variability of these components in conventional and biotechnology-derived crops now exists. Yet the OECD consensus also suggests measurements of any metabolites that may be directly associated with a newly introduced trait. Therefore, steps have been initiated to assess natural variation in metabolites not typically included in the OECD consensus but which might reasonably be expected to be affected by new traits addressing, for example, nutritional enhancement or improved stress tolerance. The compositional study reported here extended across a diverse genetic range of maize hybrids derived from 48 inbreds crossed against two different testers. These were grown at three different, but geographically similar, locations in the United States. In addition to OECD analytes such as proximates, total amino acids and free fatty acids, the levels of free amino acids, sugars, organic acids, and selected stress metabolites in harvested grain were assessed. The major free amino acids identified were asparagine, aspartate, glutamate, and proline. The major sugars were sucrose, glucose, and fructose. The most predominant organic acid was citric acid, with only minor amounts of other organic acids detected. The impact of genetic background and location was assessed for all components. Overall, natural variation in free amino acids, sugars, and organic acids appeared to be markedly higher than that observed for the OECD analytes.

Preparative enzymatic synthesis and HPLC analysis of rhapontigenin: applications to metabolism, pharmacokinetics and anti-cancer studies.

PURPOSE: A facile method was established to enzymatically synthesize rhapontigenin from the glycosylated parent compound rhaponticin. A novel and simple high-performance liquid chromatographic method was developed for the determination of rhapontigenin. The assay was successfully applied to both the in vitro and in vivo metabolic kinetic study of rhapontigenin. METHODS: Serum, or microsomes (0.1 mL) was precipitated with acetonitrile after addition of the internal standard, daidzein. Separation was achieved on an amylose tris 3,5 dimethylphenylcarbamate column (150 x 4.6 mm, ID, 5m) with UV detection at 324 nm. Hep G2 hepatoma cells were treated with rhapontigenin or rhaponticin (0-250 microg/mL) and cell viability was measured. RESULTS: The calibration curves were linear ranging from 0.5 to 100 micromg/mL. The mean extraction efficiency was > 99%. Precision of the assay (coefficient of variation) was < 5%, including the limit of quantitation (0.5 microg/mL). Bias of the assay was lower than 5%. The limit of detection was 100 ng/mL for a 0.1 mL sample. One glucuronidated metabolite of rhapontigenin has been identified. Preliminary pharmacokinetic data revealed the presence of a glucuronidated metabolite in the serum and a terminal elimination t1/2 of approximately 6 h. Rhapontigenin demonstrated concentration-dependent anti-cancer activity with an IC50 115 microg/mL in HEP G2 cells while rhaponticin showed no activity across the concentrations tested in vitro. CONCLUSIONS: The preparative enzymatic synthesis method has demonstrated utility to provide sufficient rhapontigenin for pharmaceutical studies. Rhapontigenin is an active anti-cancer compound. The developed HPLC assay is sensitive, reproducible and accurate and can be applied to pharmacokinetic and metabolism studies.

Potential beneficial metabolic interactions between tamoxifen and isoflavones via cytochrome P450-mediated pathways in female rat liver microsomes.

PURPOSE: This study aims to evaluate a cytochrome P450-based tamoxifen-isoflavone interaction and to determine the mechanisms responsible for inhibitory effects of isoflavones (e.g., genistein) on the formation of alpha-hydroxytamoxifen. METHODS: Metabolism studies were performed in vitro using female rat liver microsomes. The effects of genistein and an isoflavone mixture on tamoxifen metabolism and the inhibition mechanism were determined using standard kinetic analysis, preincubation, and selective chemical inhibitors of P450. RESULTS: Metabolism of tamoxifen was saturable with Km values of 4.9+/-0.6, 14.6+/-2.2, 25+/-5.9 microM and Vmax values of 34.7+/-1.4, 297.5+/-19.2, 1867+/-231 pmol min(-1) mg(-1) for a-hydroxylation, N-desmethylation, and N-oxidation, respectively. Genistein (25 microM) inhibited alpha-hydroxylation at 2.5 microM tamoxifen by 64% (p < 0.001) but did not affect the 4-hydroxylation, N-desmethylation, and N-oxidation. A combination of three (genistein, daidzein, and glycitein) to five isoflavones (plus biochanin A and formononetin) inhibited tamoxifen alpha-hydroxylation to a greater extent but did not decrease the formation of identified metabolites. The inhibition on alpha-hydroxylation by genistein was mixed-typed with a Ki, value of 10.6 microM. Studies using selective chemical inhibitors showed that tamoxifen alpha-hydroxylation was mainly mediated by rat CYP1A2 and CYP3A1/2 and that genistein 3'-hydroxylation was mainly mediated by rat CYP1A2, CYP2C6 and CYP2D1. CONCLUSIONS: Genistein and its isoflavone analogs have the potential to decrease side effects of tamoxifen through metabolic interactions that inhibit the formation of a-hydroxytamoxifen via inhibition of CYP1A2.

Kinetic study of coniferyl alcohol radical binding to the (+)-pinoresinol forming dirigent protein.

An essential step in lignan and lignin formation in planta is one electron oxidation of (E)-coniferyl alcohol (CA) to generate the radical intermediate (CA(*)), which can then undergo directed radical-radical couplings in vivo. For lignan formation in vitro and in vivo, stereoselective coupling of CA(*) only occurs to afford (+)-pinoresinol in the additional presence of (+)-pinoresinol forming dirigent protein (DP). Presented herein is a kinetic and thermodynamic study which reveals the central mechanistic details of the coupling process involved in DP-mediated coupling. DP activity was maximal between pH 4.25 and pH 6.0, with activity being maintained at temperatures below 33 degrees C. Equilibrium binding assays revealed that coniferyl alcohol was only weakly bound to the DP, with a K(D) of 370 +/- 65 microM. On the other hand, the enantiomeric excess of (+)-pinoresinol formed was dependent on both DP concentration and rate of CA oxidation and, thus, on apparent steady-state [CA(*)]. The data obtained could best be explained using a kinetic model where radical-radical coupling via DP competes with that occurring in open solution. Using this model, an apparent K(M) of about 10 nM was estimated from the saturation behavior of (+)-pinoresinol formation with respect to apparent steady-state [CA(*)]. These data strongly suggest that CA(*), rather than CA, is the substrate for DP, in agreement with earlier predictions. A mechanism of directed radical-radical coupling, where two coniferyl alcohol radical substrates are bound per protein dimer, is proposed.

Crystal structures of pinoresinol-lariciresinol and phenylcoumaran benzylic ether reductases and their relationship to isoflavone reductases.

Despite the importance of plant lignans and isoflavonoids in human health protection (e.g. for both treatment and prevention of onset of various cancers) as well as in plant biology (e.g. in defense functions and in heartwood development), systematic studies on the enzymes involved in their biosynthesis have only recently begun. In this investigation, three NADPH-dependent aromatic alcohol reductases were comprehensively studied, namely pinoresinol-lariciresinol reductase (PLR), phenylcoumaran benzylic ether reductase (PCBER), and isoflavone reductase (IFR), which are involved in central steps to the various important bioactive lignans and isoflavonoids. Of particular interest was in determining how differing regio- and enantiospecificities are achieved with the different enzymes, despite each apparently going through similar enone intermediates. Initially, the three-dimensional x-ray crystal structures of both PLR_Tp1 and PCBER_Pt1 were solved and refined to 2.5 and 2.2 A resolutions, respectively. Not only do they share high gene sequence similarity, but their structures are similar, having a continuous alpha/beta NADPH-binding domain and a smaller substrate-binding domain. IFR (whose crystal structure is not yet obtained) was also compared (modeled) with PLR and PCBER and was deduced to have the same overall basic structure. The basis for the distinct enantio-specific and regio-specific reactions of PCBER, PLR, and IFR, as well as the reaction mechanism and participating residues involved (as identified by site-directed mutagenesis), are discussed.

Secondary and quaternary structures of the (+)-pinoresinol-forming dirigent protein.

The (+)-pinoresinol-forming dirigent protein is the first protein capable of stereoselectively coupling two coniferyl alcohol derived radical species, in this case to give the 8-8' linked (+)-pinoresinol. Only dimeric cross-linked dirigent protein structures were isolated when 1-ethyl-3-[3-(dimethylamino)-propyl]carbodiimide was used as cross-linking agent, whereas the associated oxidase, presumed to generate the corresponding free radical substrate, was not detected. Native Forsythia intermedia dirigent protein isoforms were additionally subjected to MALDI-TOF and ESI-MS analyses, which established the presence of both monomeric masses of 23-25 kDa and dimeric dirigent protein species ranging from 46 to 49 kDa. Analytical ultracentrifugation, sedimentation velocity, and sedimentation equilibrium analyses of the native dirigent protein in open solution confirmed further its dimeric nature as well as a propensity to aggregate, with the latter being dependent upon both temperature and solution ionic strength. Circular dichroism analysis suggested that the dirigent protein was primarily composed of beta-sheet and loop structures.