Identification, isolation and characterization of mildew resistance locus O in rosaceae

The economically important plant family Rosaceae consists of over 100 genera and 3,000 species that include many important fruit, nut, ornamental, and wood crops. Its members represent diverse biological systems which provide high-value nutritional foods and desirable aesthetic and industrial products. Powdery mildew is a major disease of Rosaceae, requiring control by costly and environmentally harmful chemicals. In this study we identify a Mildew resistance locus O (Mlo) gene in sequenced peach (GU189298), plum (GU189300) and apricot (GU189299) bacterial artificial chromosomes (BACs). Comparative analysis of the BACs with Arabidopsis, Populus and Vitis genome sequences identified high degree of synteny with Populus and Vitis but not with Arabidopsis. Inclusion of Prunoideae Mlo genes expanded the clades in phylogenetic analysis with Arabidopsis and Vitis Mlo genes. Peach Mlo (PpMlo1) was further characterized.To test function of PpMlo1, the Fragaria x ananassa LF9 line was transformed with pDAJ3 (Mlo expressed in sense orientation) and pDAJ4 (Mlo expressed in antisense orientation) using Agrobacterium-mediated transformation. Transgenic plants were challenged with Podosphaera macularis conidia, and spore germination and mycelia growth were determined after 72h. Results obtained from the pathogen challenge experiment lead us to infer that antisense repression of the Fragaria Mlo homolog results in conferring resistance to the Fragaria-specific pathogen. Our results indicate that silencing of Mlo is potentially a viable strategy in imparting resistance to powdery mildew within Rosaceae, and that Fragaria can be used as a host to test the function of genes derived from related tree species. To the best of our knowledge, this work is the first attempt to test the potential of using a Mlo-based resistance strategy to combat powdery mildew in Rosaceae

Synteny of Prunus and other model plant species

BACKGROUND: Fragmentary conservation of synteny has been reported between map-anchored Prunus sequences and Arabidopsis. With the availability of genome sequence for fellow rosid I members Populus and Medicago, we analyzed the synteny between Prunus and the three model genomes. Eight Prunus BAC sequences and map-anchored Prunus sequences were used in the comparison. RESULTS: We found a well conserved synteny across the Prunus species – peach, plum, and apricot – and Populus using a set of homologous Prunus BACs. Conversely, we could not detect any synteny with Arabidopsis in this region. Other peach BACs also showed extensive synteny with Populus. The syntenic regions detected were up to 477 kb in Populus. Two syntenic regions between Arabidopsis and these BACs were much shorter, around 10 kb. We also found syntenic regions that are conserved between the Prunus BACs and Medicago. The array of synteny corresponded with the proposed whole genome duplication events in Populus and Medicago. Using map-anchored Prunus sequences, we detected many syntenic blocks with several gene pairs between Prunus and Populus or Arabidopsis. We observed a more complex network of synteny between Prunus-Arabidopsis, indicative of multiple genome duplication and subsequence gene loss in Arabidopsis. CONCLUSION: Our result shows the striking microsynteny between the Prunus BACs and the genome of Populus and Medicago. In macrosynteny analysis, more distinct Prunus regions were syntenic to Populus than to Arabidopsis

Secreted protein gene derived-single nucleotide polymorphisms (SP-SNPs) reveal population diversity and differentiation of Puccinia striiformis f. sp. tritici in the United States

Single nucleotide polymorphism (SNP) is a powerful molecular marker technique that has been widely used in population genetics and molecular mapping studies for various organisms. However, the technique has not been used for studying Puccinia striiformis f. sp. tritici (Pst), the wheat stripe rust pathogen. In this study, we developed over a hundred secreted protein gene-derived SNP (SP-SNP) markers and used 92 markers to study the population structure of Pst. From 352 isolates collected in the United States, we identified 242 multi-locus genotypes. The SP-SNP genotypes had a moderate, but significant correlation with the virulence phenotype data. Clustering of the multi-locus genotypes was consistent by various analyses, revealing distinct genetic groups. Analysis of molecular variance detected significant differences between the eastern and western US Pst populations. High heterozygosity was found in the US population with significant differences identified among epidemiological regions. Analysis of population differentiation revealed that populations between the eastern and western US were highly differentiated while moderate differentiation was found in populations within the western or eastern US. Isolates from the western US were more diverse than isolates from the eastern US. The information is useful for guiding the disease management in different epidemiological regions. •We developed the first set of SNP markers of Puccinia striiformis f. sp. tritici based on secreted protein genes.•We detected significant differences between the eastern and western US P. striiformis f. sp. tritici populations.•We identified high heterozygosity in the pathogen populations with significant differences among epidemiological regions.•We demonstrated the usefulness of SNPs in studying population genetics of wheat stripe rust fungi

Rapid gene-based SNP and haplotype marker development in non-model eukaryotes using 3'UTR sequencing

BACKGROUND: Sweet cherry (Prunus avium L.), a non-model crop with narrow genetic diversity, is an important member of sub-family Amygdoloideae within Rosaceae. Compared to other important members like peach and apple, sweet cherry lacks in genetic and genomic information, impeding understanding of important biological processes and development of efficient breeding approaches. Availability of single nucleotide polymorphism (SNP)-based molecular markers can greatly benefit breeding efforts in such non-model species. RNA-seq approaches employing second generation sequencing platforms offer a unique avenue to rapidly identify gene-based SNPs. Additionally, haplotype markers can be rapidly generated from transcript-based SNPs since they have been found to be extremely utile in identification of genetic variants related to health, disease and response to environment as highlighted by the human HapMap project. RESULTS: RNA-seq was performed on two sweet cherry cultivars, Bing and Rainier using a 3' untranslated region (UTR) sequencing method yielding 43,396 assembled contigs. In order to test our approach of rapid identification of SNPs without any reference genome information, over 25% (10,100) of the contigs were screened for the SNPs. A total of 207 contigs from this set were identified to contain high quality SNPs. A set of 223 primer pairs were designed to amplify SNP containing regions from these contigs and high resolution melting (HRM) analysis was performed with eight important parental sweet cherry cultivars. Six of the parent cultivars were distantly related to Bing and Rainier, the cultivars used for initial SNP discovery. Further, HRM analysis was also performed on 13 seedlings derived from a cross between two of the parents. Our analysis resulted in the identification of 84 (38.7%) primer sets that demonstrated variation among the tested germplasm. Reassembly of the raw 3'UTR sequences using upgraded transcriptome assembly software yielded 34,620 contigs containing 2243 putative SNPs in 887 contigs after stringent filtering. Contigs with multiple SNPs were visually parsed to identify 685 putative haplotypes at 335 loci in 301 contigs. CONCLUSIONS: This approach, which leverages the advantages of RNA-seq approaches, enabled rapid generation of gene-linked SNP and haplotype markers. The general approach presented in this study can be easily applied to other non-model eukaryotes irrespective of the ploidy level to identify gene-linked polymorphisms that are expected to facilitate efficient Gene Assisted Breeding (GAB), genotyping and population genetics studies. The identified SNP haplotypes reveal some of the allelic differences in the two sweet cherry cultivars analyzed. The identification of these SNP and haplotype markers is expected to significantly improve the genomic resources for sweet cherry and facilitate efficient GAB in this non-model crop

Application of Cydia pomonella expressed sequence tags: Identification and expression of three general odorant binding proteins in codling moth

The codling moth, Cydia pomonella , is one of the most important pests of pome fruits in the world, yet the molecular genetics and the physiology of this insect remain poorly understood. A combined assembly of 8 341 expressed sequence tags was generated from Roche 454 GS-FLX sequencing of eight tissue-specific cDNA libraries. Putative chemosensory proteins (12) and odorant binding proteins (OBPs) (18) were annotated, which included three putative general OBP (GOBP), one more than typically reported for other Lepidoptera. To further characterize CpomGOBPs, we cloned cDNA copies of their transcripts and determined their expression patterns in various tissues. Cloning and sequencing of the 698 nt transcript for CpomGOBP1 resulted in the prediction of a 163 amino acid coding region, and subsequent RT-PCR indicated that the transcripts were mainly expressed in antennae and mouthparts. The 1 289 nt (160 amino acid) CpomGOBP2 and the novel 702 nt (169 amino acid) CpomGOBP3 transcripts are mainly expressed in antennae, mouthparts, and female abdomen tips. These results indicate that next generation sequencing is useful for the identification of novel transcripts of interest, and that codling moth expresses a transcript encoding for a new member of the GOBP subfamily

Concomitant phytonutrient and transcriptome analysis of mature fruit and leaf tissues of tomato (Solanum lycopersicum L. cv. Oregon Spring) grown using organic and conventional fertilizer.

Enhanced levels of antioxidants, phenolic compounds, carotenoids and vitamin C have been reported for several crops grown under organic fertilizer, albeit with yield penalties. As organic agricultural practices continue to grow and find favor it is critical to gain an understanding of the molecular underpinnings of the factors that limit the yields in organically farmed crops. Concomitant phytochemical and transcriptomic analysis was performed on mature fruit and leaf tissues derived from Solanum lycopersicum L. 'Oregon Spring' grown under organic and conventional fertilizer conditions to evaluate the following hypotheses. 1. Organic soil fertilizer management results in greater allocation of photosynthetically derived resources to the synthesis of secondary metabolites than to plant growth, and 2. Genes involved in changes in the accumulation of phytonutrients under organic fertilizer regime will exhibit differential expression, and that the growth under different fertilizer treatments will elicit a differential response from the tomato genome. Both these hypotheses were supported, suggesting an adjustment of the metabolic and genomic activity of the plant in response to different fertilizers. Organic fertilizer treatment showed an activation of photoinhibitory processes through differential activation of nitrogen transport and assimilation genes resulting in higher accumulation of phytonutrients. This information can be used to identify alleles for breeding crops that allow for efficient utilization of organic inputs