Isolation and fine mapping of Rps6: An intermediate host resistance gene in barley to wheat stripe rust

A plant may be considered a nonhost of a pathogen if all known genotypes of a plant species are resistant to all known isolates of a pathogen species. However, if a small number of genotypes are susceptible to some known isolates of a pathogen species this plant maybe considered an intermediate host. Barley (Hordeum vulgare) is an intermediate host for Puccinia striiformis f. sp. tritici (Pst), the causal agent of wheat stripe rust. We wanted to understand the genetic architecture underlying resistance to Pst and to determine whether any overlap exists with resistance to the host pathogen, Puccinia striiformis f. sp. hordei (Psh). We mapped Pst resistance to chromosome 7H and show that host and intermediate host resistance is genetically uncoupled. Therefore, we designate this resistance locus Rps6. We used phenotypic and genotypic selection on F2:3 families to isolate Rps6 and fine mapped the locus to a 0.1 cM region. Anchoring of the Rps6 locus to the barley physical map placed the region on two adjacent fingerprinted contigs. Efforts are now underway to sequence the minimal tiling path and to delimit the physical region harbouring Rps6. This will facilitate additional marker development and permit identification of candidate genes in the region

A physical, genetic and functional sequence assembly of the barley genome

Barley (Hordeum vulgare L.) is among the world's earliest domesticated and most important crop plants. It is diploid with a large haploid genome of 5.1 gigabases (Gb). Here we present an integrated and ordered physical, genetic and functional sequence resource that describes the barley gene-space in a structured whole-genome context. We developed a physical map of 4.98 Gb, with more than 3.90 Gb anchored to a high-resolution genetic map. Projecting a deep whole-genome shotgun assembly, complementary DNA and deep RNA sequence data onto this framework supports 79,379 transcript clusters, including 26,159 'high-confidence' genes with homology support from other plant genomes. Abundant alternative splicing, premature termination codons and novel transcriptionally active regions suggest that post-transcriptional processing forms an important regulatory layer. Survey sequences from diverse accessions reveal a landscape of extensive single-nucleotide variation. Our data provide a platform for both genome-assisted research and enabling contemporary crop improvement

Microalgae-based Biofuels: Potential & Challenges

44-45Third-generation biofuel, or microalgae-based biofuel, has the potential to overcome the issues inherent in the first and second generations

Artificial neural network (ANN) approach to optimize cultivation conditions of microalga Chlorella vulgaris in view of biodiesel production

Artificial neural networks (ANN) are widely used for the modelling of biological systems due to their ability to interpret non-linear relationships between input and output parameters. Hence, ANN can be used as a tool for optimization of biological systems. In the present study, ANN models were developed to simulate the concentrations of biomass, total lipid, unsaturated lipid and oleic acid of Chlorella vulgaris with cultivation time and pH level as inputs. The predicted values were strongly correlated with experimental values (R-2>0.97 for training data set, R-2>0.92 for validation data set) for all ANN models while indicating superior prediction accuracy over response surface methodology (RSM). The importance of pH and time on different metabolites are diverse as indicated by the Olden's plots, and thus, special attention should be given when optimizing the cultivation of C. vulgaris for biodiesel production. Multi-objective optimization algorithm along with ANN models was used to determine the optimum cultivation time and pH to produce biodiesel. The optimum oleic acid concentration of 745.21 mg/L was observed at pH 7.46 after 16 days of cultivation whereas the concentrations of biomass, total lipid and unsaturated lipid are 2663.34 mg/L, 1266.33 mg/L, and 1072.58 mg/L respectively

Conserved synteny-based anchoring of the barley genome physical map.

Gene order is largely collinear in the small-grained cereals, a feature which has proved helpful in both marker development and positional cloning. The accuracy of a virtual gene order map ("genome zipper") for barley (Hordeum vulgare), developed by combining a genetic map of this species with a large number of gene locations obtained from the maps constructed in other grass species, was evaluated here both at the genome-wide level and at the fine scale in a representative segment of the genome. Comparing the whole genome "genome zipper" maps with a genetic map developed by using transcript-derived markers, yielded an accuracy of >94 %. The fine-scale comparison involved a 14 cM segment of chromosome arm 2HL. One hundred twenty-eight genes of the "genome zipper" interval were analysed. Over 95 % (45/47) of the polymorphic markers were genetically mapped and allocated to the expected region of 2HL, following the predicted order. A further 80 of the 128 genes were assigned to the correct chromosome arm 2HL by analysis of wheat-barley addition lines. All 128 gene-based markers developed were used to probe a barley bacterial artificial chromosome (BAC) library, delivering 26 BAC contigs from which all except two were anchored to the targeted zipper interval. The results demonstrate that the gene order predicted by the "genome zipper" is remarkably accurate and that the "genome zipper" represents a highly efficient informational resource for the systematic identification of gene-based markers and subsequent physical map anchoring of the barley genome

Genomics-based high-resolution mapping of the BaMMV/BaYMV resistance gene <em>rym11</em> in barley (<em>Hordeum vulgare</em> L.).

Soil-borne barley yellow mosaic virus disease, caused by different strains of Barley yellow mosaic virus (BaYMV) and Barley mild mosaic virus (BaMMV), is one of the most important diseases of winter barley (Hordeum vulgare L.) in Europe and East Asia. The recessive resistance gene rym11 located in the centromeric region of chromosome 4HL is effective against all so far known strains of BaMMV and BaYMV in Germany. In order to isolate this gene, a high-resolution mapping population (10,204 meiotic events) has been constructed. F-2 plants were screened with co-dominant flanking markers and segmental recombinant inbred lines (RILs) were tested for resistance to BaMMV under growth chamber and field conditions. Tightly linked markers were developed by exploiting (1) publicly available barley EST sequences, (2) employing barley synteny to rice, Brachypodium distachyon and sorghum and (3) using next-generation sequencing data of barley. Using this approach, the genetic interval was efficiently narrowed down from the initial 10.72 % recombination to 0.074 % recombination. A marker co-segregating with rym11 was developed providing the basis for gene isolation and efficient marker-assisted selection

High-resolution mapping of the barley Ryd3 locus controlling tolerance to BYDV

Barley yellow dwarf disease (BYD) is transmitted by aphids and is caused by different strains of Barley yellow dwarf virus (BYDV) and Cereal yellow dwarf virus (CYDV). Economically it is one of the most important diseases of cereals worldwide. Besides chemical control of the vector, growing of tolerant/resistant cultivars is an effective way of protecting crops against BYD. The Ryd3 gene in barley (Hordeum vulgare L.) confers tolerance to BYDV-PAV and BYDV-MAV and the locus was previously mapped on the short arm of barley chromosome 6H near the centromere. We applied a strategy for high-resolution mapping and marker saturation at the Ryd3 locus by exploiting recent genomic tools available in barley. In a population of 3,210 F2 plants, 14 tightly linked markers were identified, including 10 that co-segregated with Ryd3. The centromeric region where Ryd3 is located suffers suppressed recombination or reduced recombination rate, suggesting potential problems in achieving (1) map-based cloning of Ryd3 and (2) marker selection of the resistance in breeding programmes without the introduction of undesirable traits via linkage drag

Clusters of genes encoding fructan biosynthesizing enzymes in wheat and barley

Fructans are soluble carbohydrates with health benefits and possible roles in plant adaptation. Fructan biosynthetic genes were isolated using comparative genomics and physical mapping followed by BAC sequencing in barley. Genes encoding sucrose:sucrose 1-fructosyltransferase (1-SST), fructan:fructan 1-fructosyltransferase (1-FFT) and sucrose:fructan 6-fructosyltransferase (6-SFT) were clustered together with multiple copies of vacuolar invertase genes and a transposable element on two barley BAC. Intron–exon structures of the genes were similar. Phylogenetic analysis of the fructosyltransferases and invertases in the Poaceae showed that the fructan biosynthetic genes may have evolved from vacuolar invertases. Quantitative real-time PCR was performed using leaf RNA extracted from three wheat cultivars grown under different conditions. The 1-SST, 1-FFT and 6-SFT genes had correlated expression patterns in our wheat experiment and in existing barley transcriptome database. Single nucleotide polymorphism (SNP) markers were developed and successfully mapped to a major QTL region affecting wheat grain fructan accumulation in two independent wheat populations. The alleles controlling high- and low- fructan in parental lines were also found to be associated in fructan production in a diverse set of 128 wheat lines. To the authors’ knowledge, this is the first report on the mapping and sequencing of a fructan biosynthetic gene cluster and in particular, the isolation of a novel 1-FFT gene from barley.Bao-Lam Huynh; Diane E. Mather; Andreas W. Schreiber; John Toubia; Ute Baumann; Zahra Shoaei; Nils Stein; Ruvini Ariyadasa; James C. R. Stangoulis; James Edwards; Neil Shirley; Peter Langridge; Delphine Fleur