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Genetic Mechanisms Underlying Apimaysin and Maysin Synthesis and Corn Earworm Antibiosis in Maize (Zea mays L.)
E. A. Leea, P. F. Byrneb, M. D. McMullena,c, M. E. Snookd, B. R. Wisemane, N. W. Widstrome, and E. H. Coea,ca Plant Genetics Research Unit, Agricultural Research Service, U.S. Department of Agriculture, Columbia, Missouri 65211
b Department of Soil and Crop Sciences, Colorado State University, Fort Collins, Colorado 80523
c Department of Agronomy, Plant Sciences Unit, University of Missouri, Columbia, Missouri 65211
d Phytochemical Research Unit, Agricultural Research Service, U.S. Department of Agriculture, Athens, Georgia 30613
e Insect Biology and Population Management Research Laboratory, Agricultural Research Service, U.S. Department of Agriculture, Tifton, Georgia 31793
Corresponding author: M. D. McMullen, 301 Curtis Hall, University of Missouri, Columbia, MO 65211., mcmullen{at}teosinte.agron.missouri.edu (E-mail).
Communicating editor: J. CHORY
| ABSTRACT |
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C-glycosyl flavones in maize silks confer resistance (i.e., antibiosis) to corn earworm (Helicoverpa zea [Boddie]) larvae and are distinguished by their B-ring substitutions, with maysin and apimaysin being the di- and monohydroxy B-ring forms, respectively. Herein, we examine the genetic mechanisms underlying the synthesis of maysin and apimaysin and the corresponding effects on corn earworm larval growth. Using an F2 population, we found a quantitative trait locus (QTL), rem1, which accounted for 55.3% of the phenotypic variance for maysin, and a QTL, pr1, which explained 64.7% of the phenotypic variance for apimaysin. The maysin QTL did not affect apimaysin synthesis, and the apimaysin QTL did not affect maysin synthesis, suggesting that the synthesis of these closely related compounds occurs independently. The two QTLs, rem1 and pr1, were involved in a significant epistatic interaction for total flavones, suggesting that a ceiling exists governing the total possible amount of C-glycosyl flavone. The maysin and apimaysin QTLs were significant QTLs for corn earworm antibiosis, accounting for 14.1% (rem1) and 14.7% (pr1) of the phenotypic variation. An additional QTL, represented by umc85 on the short arm of chromosome 6, affected antibiosis (R2 = 15.2%), but did not affect the synthesis of the C-glycosyl flavones.
C-GLYCOSYL flavone synthesis occurs via a branch of the phenylpropanoid/flavonoid pathway (Figure 1; HELLER and FORKMAN 1994). The enzymes involved are believed to be associated with the endoplasmic reticulum (![]()
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We are studying flavone synthesis as a model for understanding the genetic mechanisms underlying quantitative trait expression (![]()
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Transcriptional activation of the flavone pathway branch is controlled by P1, a myb-like transcription factor encoded by the p1 locus. There are five allelic variants of p1 that are distinguished by their tissue specificity patterns (![]()
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In this paper, we report the results of a QTL study that extends the understanding of flavone synthesis and corn earworm antibiosis, as well as the genetic and cellular mechanisms involved in quantitative trait expression. Specifically, our objectives were to examine the following: (1) the importance of allelic variants in a structural enzyme by testing if pr1 is involved in flavone synthesis and if it is a QTL for both apimaysin and maysin synthesis; (2) the nature of epistatic interactions for QTLs for maysin, apimaysin, and total flavone levels; and (3) the consequences of varying flavone forms and levels on corn earworm antibiosis.
| MATERIALS AND METHODS |
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Mapping population:
The F2 population was developed from a cross between the inbred lines GT114 and NC7A. GT114 was developed at the Insect Biology and Population Management Research Laboratory, USDA-ARS, Tifton, GA (![]()
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Tissue collection and chemical analysis:
The (GT114 x NC7A)F2 plants were grown at the University of Missouri Agronomy Research Center near Columbia, Missouri during the summer of 1996. Two replications of GT114, NC7A and (GT114 x NC7A)F1 were grown in rows adjacent to the F2 plot. Leaf tissue was collected from F2 individuals at the mid-whorl stage for RFLP analysis. Emerging primary ear shoots were covered to prevent pollination. Silk tissue was collected 2 days after emergence from the husks. Silk masses were collected into preweighed screw-cap 50-ml tubes, placed on ice for transport to the laboratory, weighed, stored in a -80° freezer, and lyophilized. Lyophilized samples were shipped to the Phytochemical Research Unit, USDA-ARS (Athens, GA) for chemical analysis. The lyophilized silk masses were extracted with 50 ml methanol at 0° for 14 days. Extract concentrations of maysin, apimaysin, and methoxymaysin were determined by reversed-phase HPLC (![]()
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RFLP analysis:
The DNA extraction and Southern hybridization procedures were as described in ![]()
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Insect bioassay and chemical analysis of selected F2:3 families:
Forty-five "high apimaysin" and 45 "low apimaysin" families, identified based on chemical analysis of F2 plants, and six checks (GT114, NC7A, (GT114 x NC7A)F1, GT119, Zapalote Chico, and Stowell's Evergreen) were grown in paired-row plots using a randomized complete block design with two replications at Tifton, Georgia during the summer of 1997. Silk masses were collected from plants 34 days after emergence of the silks from the husk. Approximately 15 silk masses per family were collected and bulked. F2:3 family maysin, apimaysin, and methoxymaysin levels were determined from a sample of the bulked silk masses. The remaining silks were oven dried at 41° for 8 days and used in corn earworm larval bioassays as described in ![]()
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Statistical analysis:
Chi-square analysis was used to detect significant (P < 0.01) deviation of genotypic classes from the expected 1:2:1 Mendelian segregation ratio. Linkage maps were generated using MAPMAKER/EXP version 3.0 software (Whitehead Institute, Cambridge, MA) for Unix, with a minimum LOD score of 3.0 and a maximum distance of 60 cM. Deviation from normality of the F2 population for maysin, apimaysin, and total flavone levels was tested using the Shapiro-Wilk statistic (PROC UNIVARIATE, SAS software; SAS Institute, Cary, NC). QTL (P < 0.001) affecting maysin, apimaysin, and total flavone (maysin + apimaysin + methoxymaysin) levels were identified using single-factor analysis of variance (ANOVA) (PROC GLM, SAS software; SAS Institute). Genotypic class means were calculated using the least squares means option (LSMEANS) of PROC GLM (SAS software; SAS Institute 1989). Significant (P < 0.001) two-way epistatic interactions were identified using EPISTAT (developed by J. B. HOLLAND, Iowa State University, Iowa City, IA). Population size permitted only two-way interactions to be tested. Significant (P < 0.001) single loci and two-way interactions were tested in multiple-locus models for maysin, apimaysin, and total flavones. The "best" model was determined to be that which explained the greatest proportion of the phenotypic variance and in which individual loci were significant at P < 0.001 and two-way interactions were retained in the model at P < 0.01. Significant QTLs were also detected by interval mapping with MAPMAKER/QTL with the threshold value at LOD > 3.0. Simple phenotypic correlation coefficients among traits were computed with the SAS CORR procedure. Within the selected families, loci (P < 0.001) affecting 8-day larval weights were identified using single-factor ANOVA. The LSMEANS option was used to calculate genotypic class means for F2:3 family 8-day larval weights and for maysin, apimaysin, and total flavone levels.
| RESULTS |
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F2 population flavone concentration:
Frequency distributions showed that essentially all F2 individuals contained appreciable amounts of maysin, whereas only about one quarter of the individuals contained >0.15% apimaysin (Figure 2), suggesting that apimaysin synthesis may be under recessive, single gene control. Maysin, apimaysin, and total flavone levels were not normally distributed, showing transgressive segregation for high levels (Figure 2). We did not transform the data to correct for the deviations, thereby maintaining the informativeness of individuals with more extreme values (![]()
A framework map of 87 markers covering 1414.2 cM was generated using MAPMAKER/EXP (Figure 3). Segregation ratios were severely distorted (P < 0.01) for markers on chromosome 4 (agrr115 bin 4.01, umc171a bin 4.01/4.02, npi386 bin 4.04, csu294 bin 4.04/4.05, umc156 bin 4.06, and csu907 bin 4.06) in favor of the NC7A allele. Significant segregation distortion (P < 0.01) was also observed for three other framework markers: npi409 (bin 5.01), asg85 (bin 5.07), and umc115 (bin 1.01/1.02).
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Flavone QTLs:
Single-factor ANOVA and MAPMAKER/QTL identified a major QTL on the short arm of chromosome 9 (bin 9.03) affecting maysin levels and a major QTL near the centromere of chromosome 5 (bin 5.05) affecting apimaysin levels (Table 1, Figure 4, a and b). Each of these QTLs was also significant for total flavone levels. By MAPMAKER/QTL analysis, the peak LOD score on chromosome 5 was consistent with the map position of the pr1 locus. The QTL in the pr1 region accounted for 64.7 and 26.5% of the phenotypic variation for apimaysin and total flavone levels, respectively. Dominant gene action for low apimaysin was observed for this region, consistent with the expectation that a recessive nonfunctional pr1 allele is required for apimaysin accumulation. The position of the peak LOD score on chromosome 9 and the gene action, dominant for low maysin, is consistent with the rem1 locus identified in previous maysin mapping studies (![]()
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We identified three significant (P < 0.001) epistatic interactions affecting total flavone levels and three interactions affecting maysin levels that were retained in the multiple-locus models (Table 2). No significant interactions affecting apimaysin were retained in multiple-locus models. The multiple-locus models for maysin and total flavones explained 37 and 41% of the phenotypic variance, respectively (Table 2). Genotypes at linked marker loci were used in the multiple-locus models, resulting in R2 values lower than the R2 values associated with the peak LOD score. Only one of the three interactions, r1 x umc5, was retained in the multiple-locus models for both maysin and total flavones. The epistatic interaction between bnl5.71 (pr1) and wx1 (rem1) only affected total flavone levels, even though the two loci involved were the major QTLs for apimaysin and maysin, respectively (Table 1).
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Antibiosis QTLs:
Significant (P < 0.001) correlations were found between F2:3 family maysin levels and larval weight (r = -0.34) and between F2:3 family apimaysin levels and larval weight (r = 0.48). The correlation between total flavones and larval weight was not significant. Single-factor ANOVA identified three loci affecting larval weight (Table 3). The rem1 region on chromosome 9 (wx1) and the pr1 region on chromosome 5 (bnl5.71) were significant, accounting for 14.1 and 14.7% of the phenotypic variation, respectively. The locus umc85 (bin 6.01) on the short arm of chromosome 6 was also significant for larval weight, accounting for 15.2% of the phenotypic variation; however, umc85 was not significant for maysin, apimaysin, and total flavone levels. In the selected F2:3 families, the pr1 region was significant for apimaysin and total flavone levels, and the rem1 region was significant for maysin, consistent with the F2 individual results.
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| DISCUSSION |
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Single effects and epistasis:
What is clear from our results is that the flavone pathway is not nearly as well defined as originally proposed or as simplistic as the anthocyanin pathway has been depicted. Structurally, apimaysin and maysin are highly related compounds, differing only by a 3'-hydroxyl group (apimaysin 3'-H, maysin 3'-OH). Based on the anthocyanin synthesis model, in which all anthocyanins are synthesized from a common pathway, we had assumed that the synthesis of apimaysin and maysin would also occur in a common pathway. We assumed the same structural enzymes, except flavonoid 3'-hydroxylase, and the same pools of metabolic precursors would be required. Instead, the syntheses of apimaysin and maysin appear to be independent. This population was segregating at pr1, which is known to affect 3'-hydroxylation of anthocyanins. The genomic region containing pr1 was detected as the major QTL affecting apimaysin levels. Apimaysin was detected only in individuals homozygous for the nonfunctional NC7A pr1 allele, the expected consequence of homozygosity for a nonfunctional pr1 allele. This QTL, however, did not affect maysin levels, which was an unexpected outcome. Apimaysin was not made at the expense of maysin, but rather, silks with apimaysin had increased total flavone levels.
The major QTL for maysin in this population is consistent with the genomic region previously identified as containing the maysin QTL, rem1. As in previous studies, a twofold increase in maysin levels was observed in individuals from one of the homozygous rem1 genotypic classes (![]()
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The two major single effects, pr1 and rem1, are also of interest because of their significant epistatic interaction. Each of the effects alone increased total flavone levels: rem1 by increasing the amount of maysin, and pr1 by permitting the synthesis of apimaysin. Individuals homozygous for NC7A alleles at both rem1 and pr1 should simultaneously be capable of producing apimaysin and synthesizing additional maysin. However, total flavone levels in the double homozygous class were no higher than with either individual single homozygote effect (Table 1). Even though apimaysin and maysin syntheses appear to be independent of one another, it appears that an upper limit exists that governs how much total flavone can be produced by the pathway or tolerated by the cell. It should be noted that total flavone levels in some inbred lines are considerably >0.8%. Maysin levels between 1.5 and 2.0% have been observed in some backgrounds (E. LEE, unpublished data), suggesting that the mechanism regulating the ceiling level may be background specific.
B-ring substitution:
Maysin is hydroxylated at the 3'-position, and functional Pr1 is required for 3'-hydroxylation of anthocyanins in maize aleurone tissues (![]()
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A second possibility is that pr1 may encode a flavonoid 3'-hydroxylase, but there may be another gene homologous to pr1 that is also used in maysin synthesis. Maize has many duplicate loci with similar functions, tissue specificities, and/or developmental expression patterns [e.g., c2 and whp1 encode chalcone synthase (![]()
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Finally, it is possible that the B-ring substitution patterns for flavones may occur at the 9-carbon stage rather than the 15-carbon stage. The flavonoid B-ring arises from a common phenylpropanoid pathway intermediate that is generally depicted as being 4-coumaryl-CoA (4-OH). However, chalcone synthase and chalcone isomerase from other species can use caffeoyl-CoA (3,4-diOH) and other 9-carbon substrates in addition to coumaryl-CoA (see ![]()
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Antibiosis:
Regardless of allelic constitution at either rem1 or pr1, there was a substantial reduction in larval weight of the experimental group, compared to the larval weight of the control diet group (Table 3). Both the pr1 and rem1 regions are QTLs for corn earworm antibiosis. However, the genotypes at pr1 and rem1 that result in lower maysin, flavone, and/or apimaysin levels are the genotypes that have lower larval weights (i.e., less flavone, more antibiosis). This is further reflected in the rather poor correlations between the flavones and larval weight. Maysin levels were negatively correlated with larval weight (r = -0.38), total flavone levels were not significantly (P < 0.01) correlated with larval weights, and apimaysin levels were positively correlated with larval weights (r = 0.48).
How can increasing the levels of an antibiotic compound result in apparently less antibiosis? First, total flavone levels of ~0.3% reduce larval growth to near zero. Higher flavone levels show no additional effects because many larvae are already dead. In other populations where rem1 behaves as a QTL for maysin, it does not behave as an antibiosis QTL, again suggesting that the baseline maysin levels in those populations may be in excess of what is necessary for antibiosis (![]()
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Conclusions:
Although the genetic basis of the variation in synthesis of maysin and apimaysin for this population was superficially simple, one major QTL explaining the majority of the variation for each chemical, this study revealed a number of important points about flavonoid synthesis and the biological interpretations of QTL analyses. First, the model for anthocyanin/flavonol synthesis does not necessarily fit C-glycosyl flavone synthesis. The anthocyanin/flavonol synthesis model depicts B-ring substitutions occurring at the 15-carbon stage, as well as the sharing of substrates and enzymes between pathways. For C-glycosyl flavone synthesis, this is not the case. Second, synthesis of highly related compounds within a pathway, and presumably similar effects on traits, can appear to have independent genetic control. Therefore, identification of different QTLs in separate populations cannot be interpreted to mean that different genetic systems or pathways affect trait expression.
The third point reinforced in this study is the importance of considering related pathways in explaining QTL effects. Is the increase in maysin through rem1 and the synthesis of apimaysin through pr1 coming at the expense of other antibiotic compounds? The genetic mechanism underlying the increase in maysin by rem1 is unknown, and, at best, the role of pr1 in maysin synthesis is not entirely clear. However, the lack of correlation between the increased flavone levels through rem1 and pr1 and larval weight suppression suggests that either the additional flavones are made at the expense of other antibiotic compounds, or that the population's baseline flavone level is sufficient to cause larval death. Because of the very high correlation between maysin levels and larval weight when variation for maysin levels results from segregation of a functional vs. nonfunctional p1 allele (![]()
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Finally, epistatic interactions may represent at least two distinct mechanisms: first is the more commonly considered complementary gene action affecting a single process (trait), and second is the specification of conflicting processes that cannot be simultaneously accomplished by cellular metabolic systems. A surprising result of this study was the nature of the epistatic interaction involving the two single-effect QTLs, rem1 and pr1. The interaction was only significant for "total flavones," not for the individual chemicals themselves. This interaction indicates the presence of a mechanism governing total flavone levels. The synthesis of maysin and apimaysin was independent only as long as total flavone synthesis is under this ceiling level. The phenylpropanoid pathway, flavone synthesis, and corn earworm antibiosis continue to serve as excellent models for investigating and interpreting quantitative genetic theory in relation to a known biological system, demonstrating the interconnected dynamic nature of the pathway and the phenotypic consequences.
Note added in proof: Chemical analysis of silks from the test cross of NC7A x pr1 tester revealed that recessive pr1 is not sufficient for apimaysin synthesis.
| ACKNOWLEDGMENTS |
|---|
We are grateful to Ms. THERESA MUSKET, KATE HOUCHINS, GUILIN XU, and SHERRY FLINT-GARCIA for technical assistance, and to Drs. HELEN STAFFORD, MARK BERHOW, and MONIKA FREY for reviewing the manuscript. Research was supported by U.S. Department of Agriculture (USDA) National Research Initiative Competitive Grants Program Plant Genome Awards 9500636 and 9701357, and by funds provided to USDA-Agricultural Research Service. Names are important to report factually on available data; however, the USDA neither guarantees nor warrants the standard of the product, and the use of the name by USDA implies no approval of the product to the exclusion of others that may also be suitable.
Manuscript received January 22, 1998; Accepted for publication April 21, 1998.
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