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.     

Mining single-nucleotide polymorphisms from hexaploid wheat ESTs.

Single-nucleotide polymorphisms (SNPs) represent a new form of functional marker, particularly when they are derived from expressed sequence tags (ESTs). A bioinformatics strategy was developed to discover SNPs within a large wheat EST database and to demonstrate the utility of SNPs in genetic mapping and genetic diversity applications. A collection of > 90000 wheat ESTs was assembled into contiguous sequences (contigs), and 45 random contigs were then visually inspected to identify primer pairs capable of amplifying specific alleles. We estimate that homoeologue sequence variants occurred 1 in 24 bp and the frequency of SNPs between wheat genotypes was 1 SNP/540 bp (theta = 0.0069). Furthermore, we estimate that one diagnostic SNP test can be developed from every contig with 10-60 EST members. Thus, EST databases are an abundant source of SNP markers. Polymorphism information content for SNPs ranged from 0.04 to 0.50 and ESTs could be mapped into a framework of microsatellite markers using segregating populations. The results showed that SNPs in wheat can be discovered in ESTs, validated, and be applied to conventional genetic studies.     

High resolution melting analysis of almond SNPs derived from ESTs

High resolution melting curve (HRM) is a recent advance for the detection of SNPs. The technique measures temperature induced strand separation of short PCR amplicons, and is able to detect variation as small as one base difference between samples. It has been applied to the analysis and scan of mutations in the genes causing human diseases. In plant species, the use of this approach is limited. We applied HRM analysis to almond SNP discovery and genotyping based on the predicted SNP information derived from the almond and peach EST database. Putative SNPs were screened from almond and peach EST contigs by HRM analysis against 25 almond cultivars. All 4 classes of SNPs, INDELs and microsatellites were discriminated, and the HRM profiles of 17 amplicons were established. The PCR amplicons containing single, double and multiple SNPs produced distinctive HRM profiles. Additionally, different genotypes of INDEL and microsatellite variations were also characterised by HRM analysis. By sequencing the PCR products, 100 SNPs were validated/revealed in the HRM amplicons and their flanking regions. The results showed that the average frequency of SNPs was 1:114 bp in the genic regions, and transition to transversion ratio was 1.16:1. Rare allele frequencies of the SNPs varied from 0.02 to 0.5, and the polymorphic information contents of the SNPs were from 0.04 to 0.53 at an average of 0.31. HRM has been demonstrated to be a fast, low cost, and efficient approach for SNP discovery and genotyping, in particular, for species without much genomic information such as almond.     

Characterisation of single nucleotide polymorphisms in sugarcane ESTs

Commercial sugarcane cultivars (Saccharum spp. hybrids) are both polyploid and aneuploid with chromosome numbers in excess of 100; these chromosomes can be assigned to 8 homology groups. To determine the utility of single nucleotide polymorphisms (SNPs) as a means of improving our understanding of the complex sugarcane genome, we developed markers to a suite of SNPs identified in a list of sugarcane ESTs. Analysis of 69 EST contigs showed a median of 9 SNPs per EST and an average of 1 SNP per 50 bp of coding sequence. The quantitative presence of each base at 58 SNP loci within 19 contiguous sequence sets was accurately and reliably determined for 9 sugarcane genotypes, including both commercial cultivars and ancestral species, through the use of quantitative light emission technology in pyrophosphate sequencing. Across the 9 genotypes tested, 47 SNP loci were polymorphic and 11 monomorphic. Base frequency at individual SNP loci was found to vary approximately twofold between Australian sugarcane cultivars and more widely between cultivars and wild species. Base quantity was shown to segregate as expected in the IJ76-514 × Q165 sugarcane mapping population, indicating that SNPs that occur on one or two sugarcane chromosomes have the potential to be mapped. The use of SNP base frequencies from five of the developed markers was able to clearly distinguish all genotypes in the population. The use of SNP base frequencies from a further six markers within an EST contig was able to help establish the likely copy number of the locus in two genotypes tested. This is the first instance of a technology that has been able to provide an insight into the copy number of a specific gene locus in hybrid sugarcane. The identification of specific and numerous haplotypes/alleles present in a genotype by pyrophosphate sequencing or alternative techniques ultimately will provide the basis for identifying associations between specific alleles and phenotype and between allele dosage and phenotype in sugarcane.Electronic Supplementary Material Supplementary material is available for this article at and is accessible for authorized users.     

Using cDNA and genomic sequences as tools to develop SNP strategies in cassava (Manihot esculenta Crantz)

Single nucleotide polymorphisms (SNP) are the most abundant type of DNA polymorphism found in animal and plant genomes. They provide an important new source of molecular markers that are useful in genetic mapping, map-based positional cloning, quantitative trait locus mapping and the assessment of genetic distances between individuals. Very little is known on the frequency of SNPs in cassava. We have exploited the recently-developed collection of cassava expressed sequence tags (ESTs) to detect SNPs in the five cultivars of cassava used to generate the sequences. The frequency of intra-cultivar and inter-cultivar SNPs after analysis of 111 contigs was one polymorphism per 905 and one per 1,032 bp, respectively; totaling 1 each 509 bp. We have obtained further information on the frequency of SNPs in six cassava cultivars by analysis of 33 amplicons obtained from 3 EST and BAC end sequences. Overall, about 11 kb of DNA sequence was obtained for each cultivar. A total of 186 SNPs (136 and 50 from ESTs and BAC ends, respectively) were identified. Among these, 146 were intra-cultivar polymorphisms, while 80 were inter-cultivar polymorphisms. Thus the total frequency of SNPs was one per 62 bp. This information will help to develop new strategies for EST mapping as well as their association with phenotypic characteristics.     

High-throughput genotyping and mapping of single nucleotide polymorphisms in loblolly pine (Pinus taeda L.)

The development and application of genomic tools to loblolly pine (Pinus taeda L.) offer promising insights into the organization and structure of conifer genomes. The application of a high-throughput genotyping assay across diverse forest tree species, however, is currently limited taxonomically. This is despite the ongoing development of genome-scale projects aiming at the construction of expressed sequence tag (EST) libraries and the resequencing of EST-derived unigenes for a diverse array of forest tree species. In this paper, we report on the application of Illumina’s high-throughput GoldenGate™ SNP genotyping assay to a loblolly pine mapping population. Single nucleotide polymorphisms (SNPs) were identified through resequencing of previously identified wood quality, drought tolerance, and disease resistance candidate genes prior to genotyping. From that effort, a 384 multiplexed SNP assay was developed for high-throughput genotyping. Approximately 67% of the 384 SNPs queried converted into high-quality genotypes for the 48 progeny samples. Of those 257 successfully genotyped SNPs, 70 were segregating within the mapping population. A total of 27 candidate genes were subsequently mapped onto the existing loblolly pine consensus map, which consists of 12 linkage groups spanning a total map distance of 1,227.6 cM. The ability of SNPs to be mapped to the same position as fragment-based markers previously developed within the same candidate genes, as well as the pivotal role that SNPs currently play in the dissection of complex phenotypic traits, illustrate the usefulness of high-throughput SNP genotyping technologies to the continued development of pine genomics. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

In silico single nucleotide polymorphism discovery and application to marker-assisted selection in soybean

The general approach to discovering single nucleotide polymorphisms (SNPs) requires locus-specific PCR amplification. To enhance the efficiency of SNP discovery in soybean, we used in silico analysis prior to re-sequencing as it is both rapid and inexpensive. In silico analysis was performed to detect putative SNPs in expressed sequence tag (EST) contigs assembled using publicly available ESTs from 18 different soybean genotypes. SNP validation by direct sequencing of six soybean cultivars and a wild soybean genotype was performed with PCR primers designed from EST contigs aligned with at least 5 out of 18 soybean genotypes. The efficiency of SNP discovery among the confirmation genotypes was 81.2%. Furthermore, the efficiency of SNP discovery between Pureunkong and Jinpumkong 2 genotypes was 47.4%, a great improvement on our previous finding based on direct sequencing (22.3%). Using SNPs between Pureunkong and Jinpumkong 2 in EST contigs, which were linked to target traits, we were able to genotype 90 recombinant inbred lines by high-resolution melting (HRM) analysis. These SNPs were mapped onto the expected locations near quantitative trait loci for water-logging tolerance and seed pectin concentration. Thus, our protocol for HRM analysis can be applied successfully not only to genetic diversity studies, but also to marker-assisted selection (MAS). Our study suggests that a combination of in silico analysis and HRM can reduce the cost and labor involved in developing SNP markers and genotyping SNPs. The markers developed in this study can also easily be applied to MAS if the markers are associated with the target traits.     

Single-nucleotide polymorphisms detected in expressed sequence tags of melon (Cucumis melo L.).

A search was performed for single-nucleotide polymorphisms (SNP) and short insertions-deletions (indels) in 34 melon (Cucumis melo L.) expressed sequence tag (EST) fragments between two distantly related melon genotypes, a group Inodorus 'Piel de sapo' market class breeding line T111 and the Korean accession PI 161375. In total, we studied 15 kb of melon sequence. The average frequency of SNPs between the two genotypes was one every 441 bp. One indel was also found every 1666 bp. Seventy-five percent of the polymorphisms were located in introns and the 3'untranslated regions. On average, there were 1.26 SNPs plus indels per amplicon. We explored three different SNP detection systems to position five of the SNPs in a melon genetic map. Three of the SNPs were mapped using cleaved amplified polymorphic sequence (CAPS) markers, one SNP was mapped using the single primer extension reaction with fluorescent-labelled dideoxynucleotides, and one indel was mapped using polyacrilamide gel electrophoresis separation. The discovery of SNPs based on ESTs and a suitable system for SNP detection has broad potential utility in melon genome mapping.     

In Vitro vs In Silico Detected SNPs for the Development of a Genotyping Array: What Can We Learn from a Non-Model Species?

Background

There is considerable interest in the high-throughput discovery and genotyping of single nucleotide polymorphisms (SNPs) to accelerate genetic mapping and enable association studies. This study provides an assessment of EST-derived and resequencing-derived SNP quality in maritime pine (Pinus pinaster Ait.), a conifer characterized by a huge genome size (∼23.8 Gb/C).

Methodology/Principal Findings

A 384-SNPs GoldenGate genotyping array was built from i/ 184 SNPs originally detected in a set of 40 re-sequenced candidate genes (in vitro SNPs), chosen on the basis of functionality scores, presence of neighboring polymorphisms, minor allele frequencies and linkage disequilibrium and ii/ 200 SNPs screened from ESTs (in silico SNPs) selected based on the number of ESTs used for SNP detection, the SNP minor allele frequency and the quality of SNP flanking sequences. The global success rate of the assay was 66.9%, and a conversion rate (considering only polymorphic SNPs) of 51% was achieved. In vitro SNPs showed significantly higher genotyping-success and conversion rates than in silico SNPs (+11.5% and +18.5%, respectively). The reproducibility was 100%, and the genotyping error rate very low (0.54%, dropping down to 0.06% when removing four SNPs showing elevated error rates).

Conclusions/Significance

This study demonstrates that ESTs provide a resource for SNP identification in non-model species, which do not require any additional bench work and little bio-informatics analysis. However, the time and cost benefits of in silico SNPs are counterbalanced by a lower conversion rate than in vitro SNPs. This drawback is acceptable for population-based experiments, but could be dramatic in experiments involving samples from narrow genetic backgrounds. In addition, we showed that both the visual inspection of genotyping clusters and the estimation of a per SNP error rate should help identify markers that are not suitable to the GoldenGate technology in species characterized by a large and complex genome.     

Comparative genome and QTL mapping between maritime and loblolly pines

Genetic markers developed from expressed sequence tags (ESTs) were used as orthologous loci for comparative genome studies in the genus Pinus. A total of 309 ESTs derived from conifer gene sequences were tested for amplification and polymorphism in maritime pine (Pinus pinaster Ait.). Electrophoresis-based techniques made it possible to map 50 expressed sequence tag polymorphisms (ESTPs). The map positions of 32 markers were compared to putative orthologous loci on the loblolly pine (Pinus taeda L.) linkage map, which is the reference map of the conifer genetic mapping community. Overall, synteny was maintained between the two species. This report agrees with other pairwise genome comparisons in pine and supports the cytogenetic evidence that chromosome evolution in the genus is conservative. The alignment of homologous linkage groups allowed, for the first time in conifers, the comparison of QTL location. The position of two QTLs controlling wood density and cell wall components were found to be conserved between the two species.     

Chemical composition and industrial applications of Maritime pine (Pinus pinaster Ait.) bark and other non-wood parts

Reviews in Environmental Science and Bio/Technology - Maritime pine (Pinus pinaster Ait.) is native to the western Mediterranean basin and has an economic importance in southwestern Europe. This...     

Envelope-Like Retrotransposons in the Plant Kingdom: Evidence of Their Presence in Gymnosperms (Pinus pinaster)

Retroviruses differ from retrotransposons due to their infective capacity, which depends critically on the encoded envelope. Some plant retroelements contain domains reminiscent of the env of animal retroviruses but the number of such elements described to date is restricted to angiosperms. We show here the first evidence of the presence of putative env-like gene sequences in a gymnosperm species, Pinus pinaster (maritime pine). Using a degenerate primer approach for conserved domains of RNaseH gene, three clones from putative envelope-like retrotransposons (PpRT2, PpRT3, and PpRT4) were identified. The env-like sequences of P. pinaster clones are predicted to encode proteins with transmembrane domains. These sequences showed identity scores of up to 30% with env-like sequences belonging to different organisms. A phylogenetic analysis based on protein alignment of deduced aminoacid sequences revealed that these clones clustered with env-containing plant retrotransposons, as well as with retrotransposons from invertebrate organisms. The differences found among the sequences of maritime pine clones isolated here suggest the existence of different putative classes of env-like retroelements. The identification for the first time of env-like genes in a gymnosperm species may support the ancestrality of retroviruses among plants shedding light on their role in plant evolution.     

Discovery of single nucleotide polymorphisms in Lycopersicon esculentum by computer aided analysis of expressed sequence tags

Single nucleotide polymorphisms (SNPs) are useful for characterizing allelic variation, for genome-wide mapping, and as a tool for marker-assisted selection. Discovery of SNPs through de novo sequencing is inefficient within cultivated tomato (Lycopersicon esculentum Mill.) because the polymorphism rate is more than ten-fold lower than the sequencing error rate. The availability of expressed sequence tag (EST) data has made it feasible to discover putative SNPs in silico prior to experimental verification. By exploiting redundancy among EST data available for different varieties among 148,373 tomato ESTs, we have identified candidate SNPs for use within cultivated germplasm pools. 1,245 contigs having three EST sequences of Rio Grande and three EST sequences of TA496 were used for SNP discovery. We detected 1 SNP for every 8,500 bases analyzed, with 101 candidate SNPs in 44 genes identified. Sixty-six SNPs could be recognized by restriction enzymes, and subsequent experimental verification using restriction digestion or CEL I digestion confirmed 83% of the putative polymorphisms tested. SNPs between TA496 and Rio Grande have a high probability (53%) of detecting polymorphisms between other L. esculentum varieties. Twenty-six SNPs in 18 unigenes were mapped to specific chromosomes. Two SNPs, LEOH23 and LEOH37, were shown to be linked to quantitative trait loci contributing to fruit color within elite breeding populations. These results suggest that the growing databases of DNA sequence will yield information that facilitates improvement within the germplasm pools that have contributed to productive modern varieties.     

Cadmium and copper change root growth and morphology of Pinus pinea and Pinus pinaster seedlings

Heavy metal loads in forest soils have been increasing over time due to atmospheric inputs. Accumulation in the upper soil layers could affect establishment of seedlings and forest regeneration. Mediterranean species show a high initial root development, allowing seedlings to reach the moisture of deeper soil layers. In the present work seedlings of stone pine ( Pinus pinea L.) and maritime pine ( Pinus pinaster Ait.), were grown in culture solution supplied with 0.0, 0.1, 1 or 5 μ M CdSO₄ or with 1 μ M CdSO₄ and 1 μ M CuSO₄ combined. In both species tap-root elongation was drastically reduced in the 5 μ M Cd²⁺ and in the (Cd²⁺+ Cu²⁺) treatments. A supply of 0.1 or 1 μ M Cd²⁺, however, enhanced root elongation in Pinus pinea without significantly influencing root elongation in Pinus pinaster . In both species the root density (weight per unit length) and the width of the cortex increased in response to Cd²⁺ exposure. In Pinus pinaster the mitotic index decreased at the higher Cd²⁺ concentrations and when Cd²⁺ and Cu²⁺ were combined. The data suggest that cell elongation is more sensitive to Cd²⁺ than cell division. The number and length of the lateral roots were also affected by Cd²⁺ treatment to a higher degree in Pinus pinaster than in Pinus pinea, reflecting the different Cd- tolerance of the two species.