Development and linkage mapping of E-STS and RGA markers for functional gene homologues in apple

Application of resistance gene analog markers to analyses of genetic structure and diversity in rice

Plant disease resistance gene analog (RGA) markers were designed according to the conserved sequence of known RGAs and used to map resistance genes. We used genome-wide RGA markers for genetic analyses of structure and diversity in a global rice germplasm collection. Of the 472 RGA markers, 138 were polymorphic and these were applied to 178 entries selected from the USDA rice core collection. Results from the RGA markers were similar between two methods, UPGMA and STRUCTURE. Additionally, the results from RGA markers in our study were agreeable with those previously reported from SSR markers, including cluster of ancestral classification, genetic diversity estimates, genetic relatedness, and cluster of geographic origins. These results suggest that RGA markers are applicable for analyses of genetic structure and diversity in rice. However, unlike SSR markers, the RGA markers failed to differentiate temperate japonica, tropical japonica, and aromatic subgroups. The restricted way for developing RGA markers from the cDNA sequence might limit the polymorphism of RGA markers in the genome, thus limiting the discriminatory power in comparison with SSR markers. Genetic differentiation obtained using RGA markers may be useful for defining genetic diversity of a suite of random R genes in plants, as many studies show a differentiation of resistance to a wide array of pathogens. They could also help to characterize the genetic structure and geographic distribution in crops, including rice, wheat, barley, and banana.

A high-throughput apple SNP genotyping platform using the GoldenGate™ assay

EST data generated from 14 apple genotypes were downloaded from NCBI and mapped against a reference EST assembly to identify Single Nucleotide Polymorphisms (SNPs). Mapping of these SNPs was undertaken using 90% of sequence similarity and minimum coverage of four reads at each SNP position. In total, 37,807 SNPs were identified with an average of one SNP every 187 bp from a total of 6888 unique EST contigs. Identified SNPs were checked for flanking sequences of ≥ 60 bp along both sides of SNP alleles for reliable design of a custom high-throughput genotyping assay. A total of 12,299 SNPs, representing 6525 contigs, fit the selected criterion of ≥ 60 bp sequences flanking a SNP position. Of these, 1411 SNPs were validated using four apple genotypes. Based on genotyping assays, it was estimated that 60% of SNPs were valid SNPs, while 26% of SNPs might be derived from paralogous regions.

Large-scale development of functional markers in Brassica species

Numerous quantitative trait loci (QTL) have been detected in Brassica species, but fine-mapping of major QTL has advanced slowly. The development of functional markers can overcome this barrier. We used publicly available PlantGDB-assembled unique transcripts (PUTs) from Brassica species to design 7836 functional simple sequence repeat (SSR) primer pairs. Functional annotation of the PUTs containing SSRs was done by Blast2GO. The PUTs harbouring SSRs were mainly involved with nucleotide or protein binding and enzyme activity, and preferentially functioned in membranes and cytoplasm. Totally, 210 PUT primer pairs were selected to test their polymorphism, stability, and PCR quality. Approximately 70% (147) of the primer pairs resulted in successful amplification with an average polymorphic information content (PIC) value of 0.49. The highest level of polymorphism was dinucleotide repeat SSRs, followed by tri- and mononucleotide repeats. Approximately 60% of the primer pairs showed good transferability among Brassica species. These results show that the development of markers from PUTs is a feasible and simple approach to develop functional SSR markers on a large scale across Brassica species. In addition, these markers can provide a novel alternative that is a putative approach for rapid determination of candidate genes, genetic mapping, genetic diversity analysis, and comparative mapping in Brassica species.

HcrVf paralogs are present on linkage groups 1 and 6 of Malus

Molecular markers derived from resistance gene analogs of HcrVf2, the first apple resistance gene cloned, may pave the way to the cloning of additional apple scab resistance genes. The Malus xdomestica 'Florina' (Vf) bacterial artificial chromosome (BAC) genomic library was screened by hybridization using HcrVf2 as a probe. Positive BAC clones were assembled into contigs and microsatellite markers developed from each contig mapped. Only linkage groups 1 and 6 contained HcrVf2 paralogs. On linkage group 1, five loci in addition to the Vf locus were identified. A single locus was detected on linkage group 6. Representative BAC clones of these loci including the Vf locus were sequenced and the gene structure compiled. A total of 22 sequences, showing high sequence similarity to HcrVf2, were identified. Nine sequences were predicted to encode all seven protein domains described in HcrVf2, while three were truncated. Transcriptional analysis indicated that six genes with a complete HcrVf-like structure were constitutively expressed in young uninfected leaves of 'Florina'. The map position of each HcrVf analog was compared with the location of the major apple scab resistance genes. None of the major genes conferring scab resistance co-localized with HcrVf paralogs, indicating that they are unlikely to belong to the leucine-rich repeat - transmembrane class, which includes the Vf gene.

The genomic architecture of disease resistance in lettuce

Genbank and The Compositae Genome Project database, containing over 42,000 lettuce unigenes from Lactuca sativa cv. Salinas and L. serriola accession UC96US23 were mined to identify 702 candidate genes involved in pathogen recognition (RGCs), resistance signal transduction, defense responses, and disease susceptibility. In addition, to identify sequences representing additional sub-families of nucleotide binding site (NBS)-leucine-rich repeat encoding genes; the major classes of resistance genes (R-genes), NBS-encoding sequences were amplified by PCR using degenerate oligonucleotides designed to NBS sub-families specific to the subclass Asteridae, which includes the Compositae family. These products were cloned and sequenced resulting in 18 novel NBS sequences from cv. Salinas and 15 novel NBS sequences from UC96US23. Using a variety of marker technologies, 294 of the 735 candidate disease resistance genes were mapped in our primary mapping population, which consisted of 119 F7 recombinant inbred lines derived from an interspecific cross between cv. Salinas and UC96US23. Using markers shared across multiple genetic maps, 36 resistance phenotypic loci, including two new loci for resistance to downy mildew and two quantitative trait loci for resistance to anthracnose were positioned onto the reference map to provide a global view of the genomic architecture of disease resistance in lettuce and to identify candidate genes for resistance phenotypes. The majority but not all of the resistance phenotypes were genetically associated with RGCs.

Development of a set of SNP markers present in expressed genes of the apple

Molecular markers associated with gene coding regions are useful tools for bridging functional and structural genomics. Due to their high abundance in plant genomes, single nucleotide polymorphisms (SNPs) are present within virtually all genomic regions, including most coding sequences. The objective of this study was to develop a set of SNPs for the apple by taking advantage of the wealth of genomics resources available for the apple, including a large collection of expressed sequenced tags (ESTs). Using bioinformatics tools, a search for SNPs within an EST database of approximately 350,000 sequences developed from a variety of apple accessions was conducted. This resulted in the identification of a total of 71,482 putative SNPs. As the apple genome is reported to be an ancient polyploid, attempts were made to verify whether those SNPs detected in silico were attributable either to allelic polymorphisms or to gene duplication or paralogous or homeologous sequence variations. To this end, a set of 464 PCR primer pairs was designed, PCR was amplified using two subsets of plants, and the PCR products were sequenced. The SNPs retrieved from these sequences were then mapped onto apple genetic maps, including a newly constructed map of a Royal Gala x A689-24 cross and a Malling 9 x Robusta 5, map using a bin mapping strategy. The SNP genotyping was performed using the high-resolution melting (HRM) technique. A total of 93 new markers containing 210 coding SNPs were successfully mapped. This new set of SNP markers for the apple offers new opportunities for understanding the genetic control of important horticultural traits using quantitative trait loci (QTL) or linkage disequilibrium analysis. These also serve as useful markers for aligning physical and genetic maps, and as potential transferable markers across the Rosaceae family.

Mapping a candidate gene (MdMYB10) for red flesh and foliage colour in apple

Background

Integrating plant genomics and classical breeding is a challenge for both plant breeders and molecular biologists. Marker-assisted selection (MAS) is a tool that can be used to accelerate the development of novel apple varieties such as cultivars that have fruit with anthocyanin through to the core. In addition, determining the inheritance of novel alleles, such as the one responsible for red flesh, adds to our understanding of allelic variation. Our goal was to map candidate anthocyanin biosynthetic and regulatory genes in a population segregating for the red flesh phenotypes.

Results

We have identified the Rni locus, a major genetic determinant of the red foliage and red colour in the core of apple fruit. In a population segregating for the red flesh and foliage phenotype we have determined the inheritance of the Rni locus and DNA polymorphisms of candidate anthocyanin biosynthetic and regulatory genes. Simple Sequence Repeats (SSRs) and Single Nucleotide Polymorphisms (SNPs) in the candidate genes were also located on an apple genetic map. We have shown that the MdMYB10 gene co-segregates with the Rni locus and is on Linkage Group (LG) 09 of the apple genome.

Conclusion

We have performed candidate gene mapping in a fruit tree crop and have provided genetic evidence that red colouration in the fruit core as well as red foliage are both controlled by a single locus named Rni. We have shown that the transcription factor MdMYB10 may be the gene underlying Rni as there were no recombinants between the marker for this gene and the red phenotype in a population of 516 individuals. Associating markers derived from candidate genes with a desirable phenotypic trait has demonstrated the application of genomic tools in a breeding programme of a horticultural crop species.

A BAC-based physical map of the apple genome

Genome-wide physical mapping is an essential step toward investigating the genetic basis of complex traits as well as pursuing genomics research of virtually all plant and animal species. We have constructed a physical map of the apple genome from a total of 74,281 BAC clones representing approximately 10.5x haploid genome equivalents. The physical map consists of 2702 contigs, and it is estimated to span approximately 927 Mb in physical length. The reliability of contig assembly was evaluated by several methods, including assembling contigs using variable stringencies, assembling contigs using fingerprints from individual libraries, checking consensus maps of contigs, and using DNA markers. Altogether, the results demonstrated that the contigs were properly assembled. The apple genome-wide BAC-based physical map represents the first draft genome sequence not only for any member of the large Rosaceae family, but also for all tree species. This map will play a critical role in advanced genomics research for apple and other tree species, including marker development in targeted chromosome regions, fine-mapping and isolation of genes/QTL, conducting comparative genomics analyses of plant chromosomes, and large-scale genomics sequencing.