Experimenters who seek to apply the many and diverse studies on quantitative trait loci (QTL) face complex problems in Summarizing, interrelating, and integrating them. We report a strategy for consensus QTL maps that leverages the highly curated data in MaizeGDB, in particular, the numerous QTL studies and maps that are integrated with other genome data on a common coordinate system. In addition, we exploit a systematic QTL nomenclature and a hierarchical categorization of over 400 maize traits developed in the mid 90's; the main nodes of the hierarchy are aligned with the trait ontology at Gramene, a comparative mapping database for cereals. Consensus maps are presented for one trait category, insect response (80 QTL); and two traits, grain yield (71 QTL) and kernel weight (113 QTL), representing over 20 separate QTL map sets of 10 chromosomes each. The strategy is germplasm-independent and reflects any trait relationships that may be chosen. Whether the goal of the experimenter is to understand processes of growth, development, or stress response; to define and isolate genes specific to traits; or to mark QTL segments for selection in maize improvement, the elements of the strategy can be applied equally well.

The thousands of mutants of maize are a remarkable resource for study of plant physiology, phylogeny, cell biology, biochemistry, development, and molecular biology. Mutants are most often applied in research studies as "members of collections" rather than as select families of members relevant to the Study. Ideally, biologists who are interested in particular systems will be aided by having systematically categorized descriptions that contribute toward creative mining of the resource. Some essential description parameters can be posed that include: Trait(s), Part(s), Stage(s), Map Location, Conditions Externally and Genetically, and Developmental Consequences.

Single nucleotide polymorphisms (SNPs) and insertion-deletions (InDels) are becoming important genetic markers for major crop species. In this study we demonstrate their utility for locating fingerprint contigs (FPCs) to the genetic map. To derive SNP and InDel markers, we amplified genomic regions corresponding to 3000 unigenes across 12 maize (Zea mays L.) lines, of which 194 unigenes (6.4%) showed size polymorphism InDels between B73 and Mo17 on agarose gels. The analysis of these InDels in 83 diverse inbred lines showed that InDels are often multiallelic markers in maize. Single nucleotide polymorphism discovery conducted on 592 unigenes revealed that 44% of the unigenes contained B73/Mo17 SNPs, while 8% showed no sequence variation among the 12 inbred lines. On average, SNPs and InDels occurred every 73 and 309 bp, respectively. Multiple SNPs within unigenes led to a SNP-haplotype genetic diversity of 0.61 among inbreds. The unigenes were previously assigned to maize FPCs by overgo hybridization. From this set of unigenes, 311 (133 SNP and 178 InDel) loci were mapped on the intermated B73 X Mo17 (IBM) high-resolution mapping population. These markers provided unambiguous anchoring of 129 FPCs and orientation for 30 contigs. The FPC anchored map of maize will be useful for map-based cloning, for genome sequencing efforts in maize, and for comparative genomics in grasses. The amplification primers for all mapped InDel and SNP loci, the diversity information for SNPs and InDels, and the corresponding overgoes to anchor bacterial artificial chromosome (BAC) contigs are provided as genetic resources.

Our goal is to construct a robust physical map for maize (Zea mays) comprehensively integrated with the genetic map. We have used a two-dimensional 24 x 24 overgo pooling strategy to anchor maize expressed sequence tagged (EST) unigenes to 165,888 bacterial artificial chromosomes (BACs) on high-density filters. A set of 70,716 public maize ESTs seeded derivation of 10,723 EST unigene assemblies. From these assemblies, 10,642 overgo sequences of 40 bp were applied as hybridization probes. BAC addresses were obtained for 9,371 overgo probes, representing an 88% success rate. More than 96% of the successful overgo probes identified two or more BACs, while 5% identified more than 50 BACs. The majority of BACs identified (79%) were hybridized with one or two overgos. A small number of BACs hybridized with eight or more overgos, suggesting that these BACs must be gene rich. Approximately 5,670 overgos identified BACs assembled within one contig, indicating that these probes are highly locus specific. A total of 1,795 megabases (Mb; 87%) of the total 2,050 Mb in BAC contigs were associated with one or more overgos, which are serving as sequence-tagged sites for single nucleotide polymorphism development. Overgo density ranged from less than one overgo per megabase to greater than 20 overgos per megabase. The majority of contigs (52%) hit by overgos contained three to nine overgos per megabase. Analysis of approximately 1,022 Mb of genetically anchored BAC contigs indicates that 9,003 of the total 13,900 overgo-contig sites are genetically anchored. Our results indicate overgos are a powerful approach for generating gene-specific hybridization probes that are facilitating the assembly of an integrated genetic and physical map for maize.

We utilized maize (Zea mays L.) lines expressing the salmon silk (sm) phenotype, quantitative trait locus analysis, and analytical chemistry of flavone compounds to establish the order of undefined steps in the synthesis of the flavone maysin in maize silks. In addition to the previously described sm1 gene, we identified a second sm locus, which we designate sm2, located on the long arm of maize chromosome 2. Our data indicate that the sm1 gene encodes or controls a glucose modification enzyme and sm2 encodes or controls a rhamnosyl transferase. The order of intermediates in the late steps of maysin synthesis was established as luteolin --> isoorientin --> rhamnosylisoorientin --> maysin.

Three maize (Zea mays) bacterial artificial chromosome (BAC) libraries were constructed from inbred line B73. High-density filter sets from all three libraries, made using different restriction enzymes (HindIII, EcoRI, and MboI, respectively), were evaluated with a set of complex probes including the185-bp knob repeat, ribosomal DNA, two telomere-associated repeat sequences, four centromere repeats, the mitochondrial genome, a multifragment chloroplast DNA probe, and bacteriophage lambda. The results indicate that the libraries are of high quality with low contamination by organellar and lambda-sequences. The use of libraries from multiple enzymes increased the chance of recovering each region of the genome. Ninety maize restriction fragment-length polymorphism core markers were hybridized to filters of the HindIII library, representing 6x coverage of the genome, to initiate development of a framework for anchoring BAC contigs to the intermated B73 X Mo17 genetic map and to mark the bin boundaries on the physical map. All of the clones used as hybridization probes detected at least three BACs. Twenty-two single-copy number core markers identified an average of 7.4 +/- 3.3 positive clones, consistent with the expectation of six clones. This information is integrated into fingerprinting data generated by the Arizona Genomics Institute to assemble the BAC contigs using fingerprint contig and contributed to the process of physical map construction.

Modern cultivated maize (Zea mays L.)is one of the primary agronomic crops in the USA with an estimated genome size of 2500 megabases (Mb). To develop the resources for positional cloning and structural genomics in maize, we constructed a bacterial artificial chromosome (BAC) library for the inbred line B73 using the cloning enzyme Hind III. The library contains 247 680 clones (645 384‐well plates). A random sampling of 697 clones indicated an average insert size of 136 kilobase (kb) (range = 42 to 379 kb) and 0.4% empty vectors. Screening the colony filters for chloroplast DNA content indicated an exceptionally low 0.18% contamination with chloroplast DNA. Thus, the library provides 13.5 haploid genome equivalents allowing >99% probability of recovering any specific sequence of interest. High‐density filters were gridded robotically using a Genetix Q‐BOT (Hampshire, UK) in a 4 by 4 double‐spotted array on 22.5‐cm2 filters. Partial screening (6× coverage) of the library with 20 single copy probes identified an average 7.1 positive signals per probe, with a range of 3 to 15 positive signals per probe. To evaluate the utility of the library for sequence tagged connector (STC) analysis, 768 BAC clones were end sequenced in both forward and reverse directions giving a total of 1415 successful reads. End sequences were queried against SWISS‐PROT, Genbank NR, MIPS Arabidopsis, maize genomic sequence dbGSS, and maize cDNA database dbEST. Results in spreadsheet format from these searches is publicly available at the CUGI website (www.genome.clemson.edu/projects/stc/maize/ZMMBBb/).

A major weakness in our understanding of the genetic basis of complex traits has been that of defining the extent and biological basis of epistasis. Our research group has been studying the genetic control of the accumulation of maysin, a C-glycosyl flavone, in maize, Zea mays (L.), silks. Previously, we demonstrated the importance of the p1 locus as a QTL for maysin synthesis. The p1 locus often exhibits significant epistatic interactions with other loci. We developed a mapping population, (W23al x GT119)F2, specifically designed to test whether genes in an intersecting pathway might be detected as QTLs for maysin synthesis and result in epistatic interaction effects. The a1 gene is not required for the synthesis of flavones but is required for the synthesis of 3-deoxyanthocyanins, an intersecting pathway, in maize silks. The p1 locus (P < 0.0001) was a QTL for both flavones and 3-deoxyanthocyanins. The a1 locus was also highly significant (P < 0.0001) for both traits, as was the p1 x a1 epistatic interaction (P < 0.0001). Our results demonstrate that altering the flux of biochemical intermediates between pathways may be the biological basis of major QTL effects and epistatic interactions.

We have constructed a 1736-locus maize genome map containing1156 loci probed by cDNAs, 545 probed by random genomic clones, 16 by simple sequence repeats (SSRs), 14 by isozymes, and 5 by anonymous clones. Sequence information is available for 56% of the loci with 66% of the sequenced loci assigned functions. A total of 596 new ESTs were mapped from a B73 library of 5-wk-old shoots. The map contains 237 loci probed by barley, oat, wheat, rice, or tripsacum clones, which serve as grass genome reference points in comparisons between maize and other grass maps. Ninety core markers selected for low copy number, high polymorphism, and even spacing along the chromosome delineate the 100 bins on the map. The average bin size is 17 cM. Use of bin assignments enables comparison among different maize mapping populations and experiments including those involving cytogenetic stocks, mutants, or quantitative trait loci. Integration of nonmaize markers in the map extends the resources available for gene discovery beyond the boundaries of maize mapping information into the expanse of map, sequence, and phenotype information from other grass species. This map provides a foundation for numerous basic and applied investigations including studies of gene organization, gene and genome evolution, targeted cloning, and dissection of complex traits.

The interpretation of quantitative trait locus (QTL) studies is limited by the lack of information on metabolic pathways leading to most economic traits. Inferences about the roles of the underlying genes with a pathway or the nature of their interaction with other loci are generally not possible. An exception is resistance to the corn earworm Helicoverpa zea (Boddie) in maize (Zea mays L.) because of maysin, a C-glycosyl flavone synthesized in silks via a branch of the well characterized flavonoid pathway. Our results using flavone synthesis as a model QTL system indicate: (i) the importance of regulatory loci as QTLs, (ii) the importance of interconnecting biochemical pathways on product levels, (iii) evidence for "channeling" of intermediates, allowing independent synthesis of related compounds, (iv) the utility of QTL analysis in clarifying the role of specific genes in a biochemical pathway, and (v) identification of a previously unknown locus on chromosome 9S affecting flavone level. A greater understanding of the genetic basis of maysin synthesis and associated corn earworm resistance should lead to improved breeding strategies. More broadly, the insights gained in relating a defined genetic and biochemical pathway affecting a quantitative trait should enhance interpretation of the biological basis of variation for other quantitative traits.

The present paper summarizes future needs in information and tools, technology, infrastructure, training, funding, and bioinformatics, to provide the genomic knowledge and tools for breeding and biotechnological goals in maize. The National Corn Genome Initiative (NCGA) has developed through actions taken by the National Corn Growers Association (NCGA) and participation in a planning process by institutions, companies, and organizations. At the web address for the NCGI, http://www.inverizon.com/ncgi, are detailed analyses of goals and costs, impact and value, and strategy and approaches. The NCGI has also produced an informative and perceptive video suitable for public groups or schools, about agricultural contributions to life and the place of maize in these contributions. High potential can be expected, from cross-application of knowledge obtained in maize and other cereals. Development of information and tools for all crops, whether monocots or dicots, will be gained through an initiative, and each crop will be positioned to advance with cost-effective parallels, especially for expressed sequences, markers, and physical mapping.

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.

Growth of the corn earworm (Helicoverpa tea Boddie), a major pest of maize (Zea mays L.), is inhibited by high concentrations of maysin, a C-glycosyl flavone, in maize silks. To advance understanding of the genetic control of silk maysin concentration and antibiosis to corn earworm, we conducted a quantitative trait locus (QTL) study in a population derived from a cross of high-maysin (GE37) and low-maysin (FF8) lines. Both lines have phenotypically identical, functional alleles at the pi. locus, a regulator of the biochemical pathway leading to maysin synthesis. We evaluated 250 (GE37 x FF8)F-23 families far (i) restriction fragment length polymorphisms at 121 loci, (ii) silk maysin concentrations in two locations tin Georgia and Missouri), and (iii) weight of corn earworm larvae grown on artificial diet containing oven dried silks. For maysin concentration in both locations, composite interval mapping revealed major QTLs in the asg20-whp1 interval of chromosome 2 and near the wx1 locus on chromosome 9; smaller effects were detected on chromosomes 1, 6, and 8. For larval weight, the largest QTL was detected in the asg2O-whp1 interval, and major effects were also associated with chromosomes 1 and 6. However, we found no effect on larval weight at wx1. Significant (P < 0.001) epistasis was observed for all traits. Our results suggest that whp1 on chromosome 2, a gene that encodes chalcone synthase and sm1, a silk-specific gene on chromosome 6, are candidate genes affecting maysin concentration and corn earworm larval weight in this population.

A better understanding of the genetic basis of antibiosis to the corn earworm, Helicoverpa tea (Boddie), in maize, Zea mays L., silks will help breeders develop hybrids with improved resistance to this pest. We identified maize chromosome regions associated with antibiosis to the corn earworm, and compared the results with those previously obtained for concentration of silk maysin, a C-glycosyl flavone that inhibits larval growth. We evaluated antibiosis with a dried-silk bioassay of 76 (GT114 x GT119)F-2:3 lines, derived by self-pollinating Fz plants from the high and low tails of the distribution for silk maysin concentration. Variation in 8-d larval weights resulting from silks of the F-2:3 lines was compared with variation in restriction fragment length polymorphism genotypes at 39 flavonoid pathway loci or linked markers of corresponding F-2 plants. The multiple-locus model that best explained variation of larval weights included a major effect at the pi region of chromosome I and smaller effects in the umc166b region (chromosome 1) and the sh1 region (chromosome 9). The model for maysin concentration of the corresponding F-2 plants was nearly identical, with the exception that the sh1 locus was replaced by the nearby umc105a locus. Our results provide evidence that in this population silk maysin concentration and corn earworm antibiosis are under similar genetic control and that the pi locus plays the major role in determining variation in both traits. Because we evaluated the tails of the distribution and probed only at flavonoid pathway loci, all chromosome regions associated with corn earworm resistance in this population may not have been detected.

Maize telomeric restriction fragments were cloned by virtue of their ability to function as telomeres on a linear plasmid in Saccharomyces cerevisiae. Nine maize telomeric YAC transformants (MTYs) were selected by hybridization to the Arabidopsis telomere repeat (CCCTAAA) from a pool of 1537 primary transformants. Bal31 digestion of MTY3 and MTY9 DNA indicated that the telomere hybridizing tracts are located at the terminus of the linear chromosome and therefore function as telomeres in yeast. Subclones generated for pMTY7 (pMTY7SC1) and pMTY9 (pMTY9ER) hybridized to Bal31 sensitive restriction fragments in maize DNA, indicating that maize telomeric restriction fragments had been cloned. Both pMTY7SC and pMTY9ER detected telomeric RFLPs, allowing the endpoints of seven chromosome arms to be determined. Additionally, pMTY7ER mapped to the centromeric regions of chromosomes 2 and 3, suggesting a relationship between centromeric and telomeric sequences. DNA sequencing of pMTY7SC and pMTY9ER revealed that both subclones contained CA-rich regions with sporadic occurrences of the telomere repeat and its degenerate repeats.