For many years, genetic markers have been the building blocks in assembling genomic knowledge. Improved technology and methods for collecting marker data have increased accuracy, increased throughput, and reduced cost. However, common genotyping technology still produces far fewer markers in plant species than in animals and humans. We propose a new type of genetic marker based on the Diversity Arrays Technology (DArT) genotyping system for organisms lacking a reference genetic sequence. These markers are based directly on microarray probe intensity profiles and hence are called iDArTs. They require no additional genotyping beyond screening with a DArT array. Since standard methods of genetic analysis cannot be used with these continuous markers, we develop novel methods for the common bi-parental experimental designs doubled haploids, recombinant inbred lines, and backcrosses. These enable the augmentation of genetic maps with iDArTs and permit quantitative trait locus mapping with both discrete and continuous markers. We use simulation to demonstrate the power of this approach for marker mapping. In addition, we construct maps and perform linkage analysis for these DArT genotypes using the doubled haploid progeny lines from a cross between the wheat cultivars Chara and Glenlea. These methods allow access to a previously untapped genetic resource by extracting additional information from the raw data. With no additional genotyping cost, we are able to double the number of markers mapped and thereby increase genome coverage.

The genetic and phenotypic relationships among wheat quality predictors and sponge and dough bread making were evaluated in a population derived from a cross between an Australian cultivar ‘Chara’ and a Canadian cultivar ‘Glenlea’. The genetic correlation across sites for sponge and dough loaf volume was high; however, phenotypic correlations across sites for loaf volume were relatively low compared with rheological tests. The large difference between sites was most likely due to temperature differences during grain development reflected in a decrease in the percentage of unextractable polymeric protein and mixing time. Predictive tests (mixograph, extensograph, protein content and composition, micro-zeleny and flour viscosity) showed inconsistent and generally poor correlations with end-product performance (baking volume and slice area) at both sites, with no single parameter being effective as a predictor of end-product performance. The difference in the relationships between genetic and phenotypic correlations highlights the requirement to develop alternative methods of selection for breeders and bakers in order to maximise both genetic gain and predictive assessment of grain quality.

Endosperm carotenoid content in wheat is a primary determinant of flour colour and this affects both the nutritional value of the grain and its utility for different applications. Utilising wheat rice synteny two genes, ε-cyclase (ε-LCY) and phytoene synthase (Psy-A1), were identified as candidate genes for two of the QTL affecting lutein content in wheat endosperm. Analysis of the sequence changes in ε-LCY and Psy-A1 revealed possible causal mechanisms for both QTL. A point mutation in ε−LCY results in the substitution of a conserved amino acid in the high lutein allele. This substitution has been observed in high lutein-accumulating species from the Gentiales order. In Psy-A1, a sequence duplication at the end of exon 2 creates a new splice site and causes alternative splicing of the transcript and activation of a cryptic exon, resulting in four different transcripts: a wild-type transcript, two transcripts with early terminations and a transcript that would produce an in-frame, albeit longer protein. Only the wild-type splice variant produced an enzymatically active protein and its mRNA abundance was reduced by titration with the other splice variants. This reduction in wild-type mRNA is argued to result in a reduction in PSY protein and thus carotenoid content in wheat.

While the genetic control of wheat processing characteristics such as dough rheology is well understood, limited information is available concerning the genetic control of baking parameters, particularly sponge and dough (S&D) baking. In this study, a quantitative trait loci (QTL) analysis was performed using a population of doubled haploid lines derived from a cross between Australian cultivars Kukri x Janz grown at sites across different Australian wheat production zones (Queensland in 2001 and 2002 and Southern and Northern New South Wales in 2003) in order to examine the genetic control of protein content, protein expression, dough rheology and sponge and dough baking performance. The study highlighted the inconsistent genetic control of protein content across the test sites, with only two loci (3A and 7A) showing QTL at three of the five sites. Dough rheology QTL were highly consistent across the 5 sites, with major effects associated with the Glu-B1 and Glu-D1 loci. The Glu-D1 5 + 10 allele had consistent effects on S&D properties across sites; however, there was no evidence for a positive effect of the high dough strength Glu-B1-al allele at Glu-B1. A second locus on 5D had positive effects on S&D baking at three of five sites. This study demonstrated that dough rheology measurements were poor predictors of S&D quality. In the absence of robust predictive tests, high heritability values for S&D demonstrate that direct selection is the current best option for achieving genetic gain in this product category.

Composition, dough mixing, extensional rheological properties and baking properties of a set of 160 double haploid lines grown in two different environments were assessed in order to establish linkages between regions of the wheat genome and wheat quality traits. Further studies are required to rigorously test the impact of loci associated with rheological parameters on baking properties, as there are clear differences between the genetic control of rheological and baking parameters.

ABSTRACT A role for the Escherichia coli glgX gene in bacterial glycogen synthesis and/or degradation has been inferred from the sequence homology between the glgX gene and the genes encoding isoamylase-type debranching enzymes; however, experimental evidence or definition of the role of the gene has been lacking. Construction of E. coli strains with defined deletions in the glgX gene is reported here. The results show that the GlgX gene encodes an isoamylase-type debranching enzyme with high specificity for hydrolysis of chains consisting of three or four glucose residues. This specificity ensures that GlgX does not generate an extensive futile cycle during glycogen synthesis in which chains with more than four glucose residues are transferred by the branching enzyme. Disruption of glgX leads to overproduction of glycogen containing short external chains. These results suggest that the GlgX protein is predominantly involved in glycogen catabolism by selectively debranching the polysaccharide outer chains that were previously recessed by glycogen phosphorylase.

Rice bacterial artificial chromosome (BAC) clones have been identified that contain sequences orthologous to each EST localized to wheat chromosome 7AS deletion stocks by Southern blot hybridization. This information has been used to relate the DNA sequence included in each wheat deletion stock to a complement of rice BACs. A virtual contig was used that covered 90 cM (21 Mb) of DNA sequence (with a gap for the 6S/8L junction). Comparison of the positions of orthologous genes on the rice virtual contig and on wheat chromosome 7AS showed that there was an unexpectedly low level of synteny (31.4%) and a high level of chromosome rearrangements (68.6%). The non-syntenous loci were of two classes: wheat and rice genes found at different locations in the genome (32.6%), and ESTs in wheat not present in rice (36.0%). Four starch synthetic genes, GBSSI, SSI, SSIIa and DBEI, were located at similar positions on wheat chromosome 7AS and the virtual rice contig covering wheat chromosome 7AS. A preliminary comparison between the short arms of chromosome 7A and 7D in wheat showed that both chromosomes had a similar level of sequence synteny with rice. Therefore, there appears to be considerable variation in gene order between wheat chromosome 7S and rice chromosome 6S and 8L.

Knowledge of subcellular compartmentation is critical for

The role of starch branching enzyme-I (SBE-I) in determining starch structure in the endosperm has been investigated. Null mutations of SBE-I at the A, B and D genomes of wheat were identified in Australian wheat varieties by immunoblotting. By combining individual null mutations at the B and D genomes through hybridisation, a double-null mutant wheat, which lacks the B and D isoforms of SBE-I, was developed. Wheat mutants lacking all the three isoforms of SBE-I were generated from a doubled haploid progeny of a cross between the BD double-null mutant line and a Chinese Spring (CS) deletion line lacking the A genome isoform. Comparison of starch from this mutant wheat to that from wild type revealed no substantial alteration in any of the structural or functional properties analysed. Further analysis of this triple-null mutant line revealed the presence of another residual peak of SBE-I activity, referred to as SBE-Ir, in wheat endosperm representing < 3% of the activity of SBE-I in wild type endosperm.

Wheat and barley contain at least four classes of starch synthases in the endosperm, granule bound starch synthase I (GBSSI) and starch synthases I, II and III (SSI, SSII, SSIII). In this work, SSII in barley is shown to be associated with the starch granule by using antibodies. A cDNA from barley encoding SSII and the genes for SSII from barley and Aegilops tauschii ( A. tauschii, the D genome donor to wheat) are characterised. Fluorescent in situ hybridisation (FISH) and PCR were used to localise the wheat SSII gene to the short arm of chromosome 7, showing synteny with the location of the rice SSII gene to the short arm of chromosome 6. Comparison of the genes encoding SSII of A. tauschii, barley and Arabidopsis showed a conserved exon-intron structure although the size of the introns varied considerably. Extending such comparison between the genes encoding starch synthases (GBSSI, SSI, SSII and SSIII) from A. tauschii and Arabidopsis showed that the exon-intron structures are essentially conserved. Separate and distinct genes for the individual starch synthases therefore existed before the separation of monocotyledons and dicotyledons.

The coding regions of 28 entries of hexaploid wheat gamma-gliadin genes, gene fragments or pseudogenes in GenBank were used for nucleotide alignment. These sequences could be divided into nine subgroups based on nucleotide variation. The chromosomal locations of five of the seven unassigned subgroups were identified through subgroup-specific polymerase chain reactions (PCR) using Chinese Spring group-1 nulli-tetrasomic lines. Multiple single nucleotide polymorphisms (SNPs) and small insertions/deletions were identified in each subgroup. With further mining from wheat expressed sequence tag databases and targeted DNA sequencing, two SNPs were confirmed and one SNP was discovered for genes at the Gli-A1, Gli-B1 and Gli-D1 loci. A modified allele-specific PCR procedure for assaying SNPs was used to generate dominant DNA markers based on these three SNPs. For each of these three SNPs, two allele-specific primer sets were used to test Chinese Spring and 52 commercial Australian wheat varieties representing a range of low-molecular-weight (LMW) alleles. PCR results indicated that all were positive with one of the primer sets and negative with the other, with the exception of three varieties containing the 1BL/1RS chromosomal translocation that were negative for both. Furthermore, markers GliA1.1, GliB1.1 and GliD1.1 were found to be correlated with Glu-A3 a, b or c, Glu-B3 b, c, d or e and Glu-D3 a, b or e LMW glutenin alleles, respectively. Markers GliA1.2, GliB1.2 and GliD1.2 were found to be correlated with the Glu-A3 d or e, Glu-B3 a, g or h and Glu-D3 c alleles, respectively. These results indicated that the gamma-gliadin SNP markers could be used for detecting linked LMW glutenin subunit alleles that are important in determining the quality attributes of wheat products.