iDArTs: increasing the value of genomic resources at no cost

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.     

Comparison of genetic and cytogenetic maps of hexaploid wheat (<Emphasis Type="Italic">Triticum aestivum</Emphasis> L.) using SSR and DArT markers

A number of technologies are available to increase the abundance of DNA markers and contribute to developing high resolution genetic maps suitable for genetic analysis. The aim of this study was to expand the number of Diversity Array Technology (DArT) markers on the wheat array that can be mapped in the wheat genome, and to determine their chromosomal location with respect to simple sequence repeat (SSR) markers and their position on the cytogenetic map. A total of 749 and 512 individual DArT and SSR markers, respectively, were identified on at least one of four genetic maps derived from recombinant inbred line (RIL) or doubled haploid (DH) populations. A number of clustered DArT markers were observed in each genetic map, in which 20–34% of markers were redundant. Segregation distortion of DArT and SSR markers was also observed in each mapping population. Only 14% of markers on the Version 2.0 wheat array were assigned to chromosomal bins by deletion mapping using aneuploid lines. In this regard, methylation effects need to be considered when applying DArT marker in genetic mapping. However, deletion mapping of DArT markers provides a reference to align genetic and cytogenetic maps and estimate the coverage of DNA markers across the wheat genome. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Diversity Arrays Technology effectively reveals DNA polymorphism in a large and complex genome of sugarcane

Diversity Arrays Technology (DArT) provides whole genome profiling for hundreds to thousands of polymorphic markers in a single assay using a high-throughput microarray platform. The presented work aimed to establish DArT genotyping for the genetically challenging genome of sugarcane. Due to the genome complexity of this sugar-producing crop of high economic importance, an application of DArT genotyping to this species required extensive testing and optimization. As the method of genome complexity reduction determines the efficiency of polymorphism identification in DArT, various approaches and several methods were tested, in order to establish the most optimal. The sugarcane DArT markers generated with these established methods identified high genetic differentiation of sugarcane ancestral species from modern cultivars, in agreement with the data available for other types of molecular markers for this crop. The majority of sugarcane DArT markers segregated in a Mendelian fashion and were readily incorporated into the framework genetic map. As the DArT markers are sequence-ready genomic clones, we sequenced 384 clones and found that one-third of sequenced markers came from the transcribed portion of the sugarcane genome. The presented results further validate the potential of DArT technology in providing cost-effective genetic profiles for plants, irrespective of their genome complexity, for effective applications in molecular-assisted breeding, diversity analysis or genetic identity testing.     

Genomic Characterization of DArT Markers Based on High-Density Linkage Analysis and Physical Mapping to the Eucalyptus Genome

Diversity Arrays Technology (DArT) provides a robust, high throughput, cost-effective method to query thousands of sequence polymorphisms in a single assay. Despite the extensive use of this genotyping platform for numerous plant species, little is known regarding the sequence attributes and genome-wide distribution of DArT markers. We investigated the genomic properties of the 7,680 DArT marker probes of a Eucalyptus array, by sequencing them, constructing a high density linkage map and carrying out detailed physical mapping analyses to the Eucalyptus grandis reference genome. A consensus linkage map with 2,274 DArT markers anchored to 210 microsatellites and a framework map, with improved support for ordering, displayed extensive collinearity with the genome sequence. Only 1.4 Mbp of the 75 Mbp of still unplaced scaffold sequence was captured by 45 linkage mapped but physically unaligned markers to the 11 main Eucalyptus pseudochromosomes, providing compelling evidence for the quality and completeness of the current Eucalyptus genome assembly. A highly significant correspondence was found between the locations of DArT markers and predicted gene models, while most of the 89 DArT probes unaligned to the genome correspond to sequences likely absent in E. grandis, consistent with the pan-genomic feature of this multi-Eucalyptus species DArT array. These comprehensive linkage-to-physical mapping analyses provide novel data regarding the genomic attributes of DArT markers in plant genomes in general and for Eucalyptus in particular. DArT markers preferentially target the gene space and display a largely homogeneous distribution across the genome, thereby providing superb coverage for mapping and genome-wide applications in breeding and diversity studies. Data reported on these ubiquitous properties of DArT markers will be particularly valuable to researchers working on less-studied crop species who already count on DArT genotyping arrays but for which no reference genome is yet available to allow such detailed characterization.     

An integrated DArT-SSR linkage map of durum wheat

Genetic mapping in durum wheat (Triticum durum Desf.) is constrained by its large genome and allopolyploid nature. We developed a Diversity Arrays Technology (DArT) platform for durum wheat to enable efficient and cost-effective mapping and molecular breeding applications. Genomic representations from 56 durum accessions were used to assemble a DArT genotyping microarray. Microsatellite (SSR) and DArT markers were mapped on a durum wheat recombinant inbred population (176 lines). The integrated DArT-SSR map included 554 loci (162 SSRs and 392 DArT markers) and spanned 2022 cM (5 cM/marker on average). The DArT markers from durum wheat were positioned in respect to anchor SSRs and hexaploid wheat DArT markers. DArT markers compared favourably to SSRs to evaluate genetic relationships among the durum panel, with 1315 DArT polymorphisms found across the accessions. Combining DArT and SSR platforms provides an efficient and rapid method of generating linkage maps in durum wheat.     

Sequence-based genotyping for marker discovery and co-dominant scoring in germplasm and populations

Conventional marker-based genotyping platforms are widely available, but not without their limitations. In this context, we developed Sequence-Based Genotyping (SBG), a technology for simultaneous marker discovery and co-dominant scoring, using next-generation sequencing. SBG offers users several advantages including a generic sample preparation method, a highly robust genome complexity reduction strategy to facilitate de novo marker discovery across entire genomes, and a uniform bioinformatics workflow strategy to achieve genotyping goals tailored to individual species, regardless of the availability of a reference sequence. The most distinguishing features of this technology are the ability to genotype any population structure, regardless whether parental data is included, and the ability to co-dominantly score SNP markers segregating in populations. To demonstrate the capabilities of SBG, we performed marker discovery and genotyping in Arabidopsis thaliana and lettuce, two plant species of diverse genetic complexity and backgrounds. Initially we obtained 1,409 SNPs for arabidopsis, and 5,583 SNPs for lettuce. Further filtering of the SNP dataset produced over 1,000 high quality SNP markers for each species. We obtained a genotyping rate of 201.2 genotypes/SNP and 58.3 genotypes/SNP for arabidopsis (n?=?222 samples) and lettuce (n?=?87 samples), respectively. Linkage mapping using these SNPs resulted in stable map configurations. We have therefore shown that the SBG approach presented provides users with the utmost flexibility in garnering high quality markers that can be directly used for genotyping and downstream applications. Until advances and costs will allow for routine whole-genome sequencing of populations, we expect that sequence-based genotyping technologies such as SBG will be essential for genotyping of model and non-model genomes alike.     

A Multi-Population Consensus Genetic Map Reveals Inconsistent Marker Order among Maps Likely Attributed to Structural Variations in the Apple Genome

Genetic maps serve as frameworks for determining the genetic architecture of quantitative traits, assessing structure of a genome, as well as aid in pursuing association mapping and comparative genetic studies. In this study, a dense genetic map was constructed using a high-throughput 1,536 EST-derived SNP GoldenGate genotyping platform and a global consensus map established by combining the new genetic map with four existing reliable genetic maps of apple. The consensus map identified markers with both major and minor conflicts in positioning across all five maps. These major inconsistencies among marker positions were attributed either to structural variations within the apple genome, or among mapping populations, or genotyping technical errors. These also highlighted problems in assembly and anchorage of the reference draft apple genome sequence in regions with known segmental duplications. Markers common across all five apple genetic maps resulted in successful positioning of 2875 markers, consisting of 2033 SNPs and 843 SSRs as well as other specific markers, on the global consensus map. These markers were distributed across all 17 linkage groups, with an average of 169±33 marker per linkage group and with an average distance of 0.70±0.14 cM between markers. The total length of the consensus map was 1991.38 cM with an average length of 117.14±24.43 cM per linkage group. A total of 569 SNPs were mapped onto the genetic map, consisting of 140 recombinant individuals, from our recently developed apple Oligonucleotide pool assays (OPA). The new functional SNPs, along with the dense consensus genetic map, will be useful for high resolution QTL mapping of important traits in apple and for pursuing comparative genetic studies in Rosaceae.     

Use of diversity arrays technology markers for integration into a cotton reference map and anchoring to a recombinant inbred line map

A diversity array technology (DArT) marker platform was developed for the cotton genome, to evaluate the use of DArT markers compared with AFLP markers in mapping and transferability across the mapping populations. We used a reference genetic map of tetraploid Gossypium L. that already contained ~5000 loci, which coalesced into 26 chromosomes, to anchor newly developed DArT and AFLP markers with the aim of further improving utility and map resolution. Our results indicated that the percentage of polymorphic DArT markers that could be genetically mapped (78.15%) was much higher than that of AFLP markers (22.28%). Sequence analysis of DArT markers indicated that a majority matched known expressed sequence tag (EST) sequences from tetraploid and diploid Gossypium species. A total of 794 Arabidopsis genes were homologous with various DArT marker sequences. Chromosomes 5(A), 7(A), 19(D), 23(D), and 24(D) had more Arabidopsis syntenic DArT markers than the other chromosomes. Anchoring DArT markers from the reference map to a recombinant inbred line (RIL) map indicated that DArT markers will speed the building of maps in de novo RIL populations.     

Creating a saturated reference map for the apple (Malus × domestica Borkh.) genome

The availability of a high quality linkage map is essential for the detection and the analysis of quantitative traits. Such a map should cover a significant part of the genome, should be densely populated with markers, and in order to gain the maximum advantage should be transferable to populations or cultivars other than the ones on which it has been constructed. An apple genetic linkage map has been constructed on the basis of a segregating population of the cross between the cultivars Fiesta and Discovery. A total of 840 molecular markers, 475 AFLPs, 235 RAPDs, 129 SSRs and 1 SCAR, were used for the two parental maps constructed with JoinMap and spanning 1,140 cM and 1,450 cM, respectively. Large numbers of codominant markers, like SSRs, enable a rapid transfer of the map to other populations or cultivars, allowing the investigation of any chosen trait in another genetic background. This map is currently the most advanced linkage map in apple with regard to genome coverage and marker density. It represents an ideal starting point for future mapping projects in Malus since the stable and transferable SSR frame of the map can be saturated quickly with dominant AFLP markers.     

Development of a molecular linkage map of pearl millet integrating DArT and SSR markers

Pearl millet is an important component of food security in the semi-arid tropics and is assuming greater importance in the context of changing climate and increasing demand for highly nutritious food and feed. Molecular tools have been developed and applied for pearl millet on a limited scale. However, the existing tool kit needs to be strengthened further for its routine use in applied breeding programs. Here, we report enrichment of the pearl millet molecular linkage map by exploiting low-cost and high-throughput Diversity Arrays Technology (DArT) markers. Genomic representation from 95 diverse genotypes was used to develop a DArT array with circa 7,000 clones following PstI/BanII complexity reduction. This array was used to genotype a set of 24 diverse pearl millet inbreds and 574 polymorphic DArT markers were identified. The genetic relationships among the inbred lines as revealed by DArT genotyping were in complete agreement with the available pedigree data. Further, a mapping population of 140 F₇ Recombinant Inbred Lines (RILs) from cross H 77/833-2 × PRLT 2/89-33 was genotyped and an improved linkage map was constructed by integrating DArT and SSR marker data. This map contains 321 loci (258 DArTs and 63 SSRs) and spans 1148 cM with an average adjacent-marker interval length of 3.7 cM. The length of individual linkage groups (LGs) ranged from 78 cM (LG 3) to 370 cM (LG 2). This better-saturated map provides improved genome coverage and will be useful for genetic analyses of important quantitative traits. This DArT platform will also permit cost-effective background selection in marker-assisted backcrossing programs as well as facilitate comparative genomics and genome organization studies once DNA sequences of polymorphic DArT clones are available.     

The first genetic map of pigeon pea based on diversity arrays technology (DArT) markers

With an objective to develop a genetic map in pigeon pea (Cajanus spp.), a total of 554 diversity arrays technology (DArT) markers showed polymorphism in a pigeon pea F₂ mapping population of 72 progenies derived from an interspecific cross of ICP 28 (Cajanus cajan) and ICPW 94 (Cajanus scarabaeoides). Approximately 13% of markers did not conform to expected segregation ratio. The total number of DArT marker loci segregating in Mendelian manner was 405 with 73.1% (P > 0.001) of DArT markers having unique segregation patterns. Two groups of genetic maps were generated using DArT markers. While the maternal genetic linkage map had 122 unique DArT maternal marker loci, the paternal genetic linkage map has a total of 172 unique DArT paternal marker loci. The length of these two maps covered 270.0 cM and 451.6 cM, respectively. These are the first genetic linkage maps developed for pigeon pea, and this is the first report of genetic mapping in any grain legume using diversity arrays technology.     

Development of wild barley (Hordeum chilense)-derived DArT markers and their use into genetic and physical mapping

Diversity arrays technology (DArT) genomic libraries were developed from H. chilense accessions to support robust genotyping of this species and a novel crop comprising H. chilense genome (e.g., tritordeums). Over 11,000 DArT clones were obtained using two complexity reduction methods. A subset of 2,209 DArT markers was identified on the arrays containing these clones as polymorphic between parents and segregating in a population of 92 recombinant inbred lines (RIL) developed from the cross between H. chilense accessions H1 and H7. Using the segregation data a high-density map of 1,503 cM was constructed with average inter-bin density of 2.33 cM. A subset of DArT markers was also mapped physically using a set of wheat-H. chilense chromosome addition lines. It allowed the unambiguous assignment of linkage groups to chromosomes. Four segregation distortion regions (SDRs) were found on the chromosomes 2H(ch), 3H(ch) and 5H(ch) in agreement with previous findings in barley. The new map improves the genome coverage of previous H. chilense maps. H. chilense-derived DArT markers will enable further genetic studies in ongoing projects on hybrid wheat, seed carotenoid content improvement or tritordeum breeding program. Besides, the genetic map reported here will be very useful as the basis to develop comparative genomics studies with barley and model species.     

Development and assessment of Diversity Arrays Technology for high-throughput DNA analyses in <Emphasis Type="Italic">Musa</Emphasis>

Diversity Arrays Technology (DArT) is a DNA hybridisation-based molecular marker technique that can detect simultaneously variation at numerous genomic loci without sequence information. This efficiency makes it a potential tool for a quick and powerful assessment of the structure of germplasm collections. This article demonstrates the usefulness of DArT markers for genetic diversity analyses of Musa spp. genotypes. We developed four complexity reduction methods to generate DArT genomic representations and we tested their performance using 48 reference Musa genotypes. For these four complexity reduction methods, DArT markers displayed high polymorphism information content. We selected the two methods which generated the most polymorphic genomic representations (PstI/BstNI 16.8%, PstI/TaqI 16.1%) to analyze a panel of 168 Musa genotypes from two of the most important field collections of Musa in the world: Cirad (Neufchateau, Guadeloupe), and IITA (Ibadan, Nigeria). Since most edible cultivars are derived from two wild species, Musa acuminata (A genome) and Musa balbisiana (B genome), the study is restricted mostly to accessions of these two species and those derived from them. The genomic origin of the markers can help resolving the pedigree of valuable genotypes of unknown origin. A total of 836 markers were identified and used for genotyping. Ten percent of them were specific to the A genome and enabled targeting this genome portion in relatedness analysis among diverse ploidy constitutions. DArT markers revealed genetic relationships among Musa genotype consistent with those provided by the other markers technologies, but at a significantly higher resolution and speed and reduced cost.     

High-throughput genotyping of hop (Humulus lupulus L.) utilising diversity arrays technology (DArT)

Implementation of molecular methods in hop (Humulus lupulus L.) breeding is dependent on the availability of sizeable numbers of polymorphic markers and a comprehensive understanding of genetic variation. However, use of molecular marker technology is limited due to expense, time inefficiency, laborious methodology and dependence on DNA sequence information. Diversity arrays technology (DArT) is a high-throughput cost-effective method for the discovery of large numbers of quality polymorphic markers without reliance on DNA sequence information. This study is the first to utilise DArT for hop genotyping, identifying 730 polymorphic markers from 92 hop accessions. The marker quality was high and similar to the quality of DArT markers previously generated for other species; although percentage polymorphism and polymorphism information content (PIC) were lower than in previous studies deploying other marker systems in hop. Genetic relationships in hop illustrated by DArT in this study coincide with knowledge generated using alternate methods. Several statistical analyses separated the hop accessions into genetically differentiated North American and European groupings, with hybrids between the two groups clearly distinguishable. Levels of genetic diversity were similar in the North American and European groups, but higher in the hybrid group. The markers produced from this time and cost-efficient genotyping tool will be a valuable resource for numerous applications in hop breeding and genetics studies, such as mapping, marker-assisted selection, genetic identity testing, guidance in the maintenance of genetic diversity and the directed breeding of superior cultivars.     

Validation of the high-throughput marker technology DArT using the model plant Arabidopsis thaliana

Diversity Arrays Technology (DArT) is a microarray-based DNA marker technique for genome-wide discovery and genotyping of genetic variation. DArT allows simultaneous scoring of hundreds of restriction site based polymorphisms between genotypes and does not require DNA sequence information or site-specific oligonucleotides. This paper demonstrates the potential of DArT for genetic mapping by validating the quality and molecular basis of the markers, using the model plant Arabidopsis thaliana. Restriction fragments from a genomic representation of the ecotype Landsberg erecta (Ler) were amplified by PCR, individualized by cloning and spotted onto glass slides. The arrays were then hybridized with labeled genomic representations of the ecotypes Columbia (Col) and Ler and of individuals from an F₂ population obtained from a Col × Ler cross. The scoring of markers with specialized software was highly reproducible and 107 markers could unambiguously be ordered on a genetic linkage map. The marker order on the genetic linkage map coincided with the order on the DNA sequence map. Sequencing of the Ler markers and alignment with the available Col genome sequence confirmed that the polymorphism in DArT markers is largely a result of restriction site polymorphisms.Electronic Supplementary Material Supplementary material is available in the online version of this article at     

Development of wild barley-derived DArT markers and their integration into a barley consensus map

Wild barley-specific genomic libraries were developed for the purpose of creating a ‘comprehensive’ genomic representation of the primary Hordeum genepool capable of more robust genotyping of barley. In order to enrich for wild barley-specific sequences in the DArT libraries, suppression subtraction hybridization (SSH) was performed using cultivated barley as the subtraction driver and wild barley as the tester. Four doubled-haploid populations were genotyped with the comprehensive barley DArT array, including two from wild × cultivated crosses (Damon/Harrington and Shechem/Harrington) and two from cultivated × cultivated crosses (Albacete/Barbarrouse and TX9425/Naso Nijo). Analysis of genotyping data revealed that the SSH process was somewhat ineffective at enriching for unique sequences in this application of DArT marker development. However, the addition of markers derived from wild barley proved to be an effective means for increasing the number of polymorphic markers obtainable from a single DArT assay. Genetic maps of the four component populations were developed and 607 newly developed DArT markers were integrated with a barley consensus map to create a new synthetic map of the barley genome containing 3542 markers. This significantly increased the resolution of the consensus map and improved the power of the map to provide a reference for profiling genetic diversity within the primary Hordeum genepool. The improvement in the genotyping capability of the comprehensive DArT genomic representation and the higher resolution of the synthetic map facilitates an even greater flexibility of DArT markers to be utilized as a fast, high-throughput platform for molecular marker-based barley breeding.     

A microarray-based genotyping and genetic mapping approach for highly heterozygous outcrossing species enables localization of a large fraction of the unassembled Populus trichocarpa genome sequence

Microarrays have demonstrated significant power for genome-wide analyses of gene expression, and recently have also revolutionized the genetic analysis of segregating populations by genotyping thousands of loci in a single assay. Although microarray-based genotyping approaches have been successfully applied in yeast and several inbred plant species, their power has not been proven in an outcrossing species with extensive genetic diversity. Here we have developed methods for high-throughput microarray-based genotyping in such species using a pseudo-backcross progeny of 154 individuals of Populus trichocarpa and P. deltoides analyzed with long-oligonucleotide in situ- synthesized microarray probes . Our analysis resulted in high-confidence genotypes for 719 single-feature polymorphism (SFP) and 1014 gene expression marker (GEM) candidates. Using these genotypes and an established microsatellite (SSR) framework map, we produced a high-density genetic map comprising over 600 SFPs, GEMs and SSRs. The abundance of gene-based markers allowed us to localize over 35 million base pairs of previously unplaced whole-genome shotgun (WGS) scaffold sequence to putative locations in the genome of P. trichocarpa . A high proportion of sampled scaffolds could be verified for their placement with independently mapped SSRs, demonstrating the previously un-utilized power that high-density genotyping can provide in the context of map-based WGS sequence reassembly. Our results provide a substantial contribution to the continued improvement of the Populus genome assembly, while demonstrating the feasibility of microarray-based genotyping in a highly heterozygous population. The strategies presented are applicable to genetic mapping efforts in all plant species with similarly high levels of genetic diversity.     

Sequence‐based SNP genotyping in durum wheat

Marker development for marker‐assisted selection in plant breeding is increasingly based on next‐generation sequencing (NGS). However, marker development in crops with highly repetitive, complex genomes is still challenging. Here we applied sequence‐based genotyping (SBG), which couples AFLP^®‐based complexity reduction to NGS, for de novo single nucleotide polymorphisms (SNP) marker discovery in and genotyping of a biparental durum wheat population. We identified 9983 putative SNPs in 6372 contigs between the two parents and used these SNPs for genotyping 91 recombinant inbred lines (RILs). Excluding redundant information from multiple SNPs per contig, 2606 (41%) markers were used for integration in a pre‐existing framework map, resulting in the integration of 2365 markers over 2607 cM. Of the 2606 markers available for mapping, 91% were integrated in the pre‐existing map, containing 708 SSRs, DArT markers, and SNPs from CRoPS technology, with a map‐size increase of 492 cM (23%). These results demonstrate the high quality of the discovered SNP markers. With this methodology, it was possible to saturate the map at a final marker density of 0.8 cM/marker. Looking at the binned marker distribution (Figure 2), 63 of the 268 10‐cM bins contained only SBG markers, showing that these markers are filling in gaps in the framework map. As to the markers that could not be used for mapping, the main reason was the low sequencing coverage used for genotyping. We conclude that SBG is a valuable tool for efficient, high‐throughput and high‐quality marker discovery and genotyping for complex genomes such as that of durum wheat.     

Diversity Arrays Technology (DArT) Marker Platforms for Diversity Analysis and Linkage Mapping in a Complex Crop,the Octoploid Cultivated Strawberry (Fragaria × ananassa)

Cultivated strawberry (Fragaria × ananassa) is a genetically complex allo-octoploid crop with 28 pairs of chromosomes (2n = 8x = 56) for which a genome sequence is not yet available. The diploid Fragaria vesca is considered the donor species of one of the octoploid sub-genomes and its available genome sequence can be used as a reference for genomic studies. A wide number of strawberry cultivars are stored in ex situ germplasm collections world-wide but a number of previous studies have addressed the genetic diversity present within a limited number of these collections. Here, we report the development and application of two platforms based on the implementation of Diversity Array Technology (DArT) markers for high-throughput genotyping in strawberry. The first DArT microarray was used to evaluate the genetic diversity of 62 strawberry cultivars that represent a wide range of variation based on phenotype, geographical and temporal origin and pedigrees. A total of 603 DArT markers were used to evaluate the diversity and structure of the population and their cluster analyses revealed that these markers were highly efficient in classifying the accessions in groups based on historical, geographical and pedigree-based cues. The second DArTseq platform took benefit of the complexity reduction method optimized for strawberry and the development of next generation sequencing technologies. The strawberry DArTseq was used to generate a total of 9,386 SNP markers in the previously developed ‘232’ × ‘1392’ mapping population, of which, 4,242 high quality markers were further selected to saturate this map after several filtering steps. The high-throughput platforms here developed for genotyping strawberry will facilitate genome-wide characterizations of large accessions sets and complement other available options.