A Strategy to Investigate the Intravarietal Genetic Variability in Vitis vinifera L. for Clones and Biotypes Identification and to Correlate Molecular Profiles with Morphological Traits or Geographic Origins

Grapevine is the most economically important and widely cultivated fruit crop in the world. Molecular markers have been used on Vitis vinifera to distinguish among both varieties and clones. Microsatellites are used to fingerprint varieties and several other techniques, reported in many papers, are used to analyze the differences among clones, but it is not available in the literature as a well defined strategy to screen a large number of Vitis cultivars. In fact, it is often necessary to use different techniques to investigate the genetic variability in different grapevine varieties and a proposed technique is used to study a cultivar, which is often not suitable for either the study of another cultivar or compare the genetic relationship among various cultivars. We describe here a strategy used for the analysis of several grapevine cultivars to describe a universal method to obtain DNA polymorphisms of Vitis vinifera genotypes from the same cultivar by using amplified fragment length polymorphism (AFLP), selective amplification of microsatellite polymorphic loci (SAMPL), microsatellites AFLP (M-AFLP), and ISSR molecular markers. The strategy here adopted permitted both to identify different biotypes (i.e., Primitivo), accessions (i.e., Garnacha tinta), and clones (i.e., Callet, Manto Negro, Moll) among the variability of same variety and to correlate the genetic differences to their geographical origins (i.e., Garnacha tinta; Malvasia nera di Brindisi/Lecce) or morphological traits (i.e., Malvasia of Candia). Here is also described the application of the protocol that allows to highlight the genetic variability accumulated during centuries of cultivations and selections of the same variety in different environments by vine growers.     

Study of Intra-Varietal Genetic Variability in Grapevine Cultivars by PCR-Derived Molecular Markers and Correlations with the Geographic Origins

The genetic grapevine intravarietal variability will be analyzed by PCR-derived marker systems. In particular, the object of the investigation will be the clonal variations of Malvasia nera di Brindisi/Lecce, Negroamaro and Primitivo, also known as Zinfandel, which are three grapevine varieties cultivated in Apulia region (Italy). In order to assess varietal identity of the samples, 132 DNA tests were performed by amplifying 16 SSR loci. The study of the intravarietal variability was performed using AFLPs, SAMPLs, ISSRs, and M-AFLPs. The application of the above-mentioned techniques allowed both to discriminate all genotypes of the three cultivars and to distinguish the accessions of each cultivar sampled from different geographic cultivation areas. Furthermore, the study of biotypes cultivated in different geographical environments of Salento (i.e., Apulia region) allowed important correlations between molecular marker variability and phenotypic traits. These results are suggesting both to focus our attention on the effects of the environment on the genotype and to consider, as a practical consequence, the importance of preserving autochthon grapevine biotypes found in different areas to truly preserve the richness of the germplasm. Thus, more accurate DNA studies give new information that can be extremely useful to the vine nurseries for the correct choice (i.e., supported by more accurate intravarietal variability analysis) of the grape multiplication materials.     

Single nucleotide polymorphism genotyping in polyploid wheat with the Illumina GoldenGate assay

Single nucleotide polymorphisms (SNPs) are indispensable in such applications as association mapping and construction of high-density genetic maps. These applications usually require genotyping of thousands of SNPs in a large number of individuals. Although a number of SNP genotyping assays are available, most of them are designed for SNP genotyping in diploid individuals. Here, we demonstrate that the Illumina GoldenGate assay could be used for SNP genotyping of homozygous tetraploid and hexaploid wheat lines. Genotyping reactions could be carried out directly on genomic DNA without the necessity of preliminary PCR amplification. A total of 53 tetraploid and 38 hexaploid homozygous wheat lines were genotyped at 96 SNP loci. The genotyping error rate estimated after removal of low-quality data was 0 and 1% for tetraploid and hexaploid wheat, respectively. Developed SNP genotyping assays were shown to be useful for genotyping wheat cultivars. This study demonstrated that the GoldenGate assay is a very efficient tool for high-throughput genotyping of polyploid wheat, opening new possibilities for the analysis of genetic variation in wheat and dissection of genetic basis of complex traits using association mapping approach. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

From the cradle of grapevine domestication: molecular overview and description of Georgian grapevine (Vitis vinifera L.) germplasm

Historical information and archaeological and palaeobotanical findings point Georgia, in the South Caucasus, as a cradle for grapevine (Vitis vinifera L.) domestication from its wild form (V. vinifera silvestris Beck.) and subsequent selection and development of varieties with characters suitable for human consumption. The hypothesis of Georgia being a center of domestication, combined with its distance from western countries and the importance of its viticulture and wine production, make Georgian grape germplasm particularly interesting to be investigated under the genetic point of view. Twenty nuclear microsatellite loci were used to genotype 112 Georgian grapevine accessions (V. vinifera sativa Beck.) from germplasm collections and 18 from spontaneous growing plants (V. vinifera silvestris Beck.) found in wild conditions and to compare them to a large international cultivar collection in France. Data analysis shows that Georgian grapevine germplasm has maintained distinctive traits despite arrival of international, foreign varieties and still conserve characteristics of local breeding linked to traditional wine production regions of the country. Results have identified alleles, overall loci, well represented in the Georgian germplasm (cultivated and wild) and absent or poorly represented in other countries, highlighting uniqueness and originality of traits of this viticulture. Moreover, the search for relationships between Georgian and foreign viticulture has evidenced few interesting cases linking the Georgian varieties with Western European ones and with neighboring Caucasian countries, helping to identify the real place of origin in some doubtful cases. In addition, populations or sparse individuals of wild grapevine still preserved in the Georgian natural environments present smaller genetic distances with local cultivars than in other European regions. Principal component analysis (PCA) has also identified special overlapping of the wild compartment with some cultivated varieties. This work provides a highly significant new contribution to applied aspects of Georgian grapevine genetic resources management and use. Uniqueness of the Georgian cultivated grapevine gene pool together with its close relatedness with the wild compartment makes this country a good candidate to address questions regarding domestication and grapevine genetic resource conservation.     

High-Throughput RAD-SNP Genotyping for Characterization of Sugar Beet Genotypes

High-throughput single-nucleotide polymorphism (SNP) genotyping provides a rapid way of developing resourceful sets of markers for delineating genetic structure and for understanding the basis of the taxonomic discrimination. In this paper, we present a panel of 192 SNPs for effective genotyping in sugar beet using a high-throughput marker array technology, QuantStudio 12K Flex system, coupled with Taqman OpenArray technology. The selected SNPs were evaluated for genetic diversity among a set of 150 individuals representing 15 genotypes (10 individuals each) from five cytoplasmic male steriles (CMSs), five pollinators, and five commercial varieties. We demonstrated that the proposed panel of 192 SNPs effectively differentiated the studied genotypes. A higher degree of polymorphism was observed among the CMSs as compared to pollinators and commercial varieties. PCoA and STRUCTURE analysis revealed that CMSs, pollinators, and varieties clustered into three distinct subpopulations. Our results demonstrate the utility of the identified panel of 192 SNPs coupled with TaqMan OpenArray technology as a wide set of markers for high-throughput SNP genotyping in sugar beet.     

Genetic diversity of wild grapevine populations in Spain and their genetic relationships with cultivated grapevines

The wild grapevine, Vitis vinifera L. ssp. sylvestris (Gmelin) Hegi, considered as the ancestor of the cultivated grapevine, is native from Eurasia. In Spain, natural populations of V. vinifera ssp. sylvestris can still be found along river banks. In this work, we have performed a wide search of wild grapevine populations in Spain and characterized the amount and distribution of their genetic diversity using 25 nuclear SSR loci. We have also analysed the possible coexistence in the natural habitat of wild grapevines with naturalized grapevine cultivars and rootstocks. In this way, phenotypic and genetic analyses identified 19% of the collected samples as derived from cultivated genotypes, being either naturalized cultivars or hybrid genotypes derived from spontaneous crosses between wild and cultivated grapevines. The genetic diversity of wild grapevine populations was similar than that observed in the cultivated group. The molecular analysis showed that cultivated germplasm and wild germplasm are genetically divergent with low level of introgression. Using a model‐based approach implemented in the software structure , we identified four genetic groups, with two of them fundamentally represented among cultivated genotypes and two among wild accessions. The analyses of genetic relationships between wild and cultivated grapevines could suggest a genetic contribution of wild accessions from Spain to current Western cultivars.     

Estimation of relative allele frequencies of single-nucleotide polymorphisms in different populations by microarray hybridization of pooled DNA

Single-nucleotide polymorphisms (SNPs) are considered useful polymorphic markers for genetic studies of polygenic traits. A new practical approach to high-throughput genotyping of SNPs in a large number of individuals is needed in association study and other studies on relationships between genes and diseases. We have developed an accurate and high-throughput method for determining the allele frequencies by pooling the DNA samples and applying a DNA microarray hybridization analysis. In this method, the combination of the microarray, DNA pooling, probe pair hybridization, and fluorescent ratio analysis solves the dual problems of parallel multiple sample analysis, and parallel multiplex SNP genotyping for association study. Multiple DNA samples are immobilized on a slide and a single hybridization is performed with a pool of allele-specific oligonucleotide probes. The results of this study show that hybridization of microarray from pooled DNA samples can accurately obtain estimates of absolute allele frequencies in a sample pool. This method can also be used to identify differences in allele frequencies in distinct populations. It is amenable to automation and is suitable for immediate utilization for high-throughput genotyping of SNP.     

Identification of grapevine clone genotypes by use of microsatellite markers

An SSR-analysis of rootstock, technical, and table grapevine cultivar clones was performed. The allelic characteristics of grapevine cultivar clones were obtained at microsatellite loci; this characteristic can be used to identify and sertificate grapevine clone genotypes. A high level of mutation variability among the rootstock and technical cultivars was discovered. DNA passports for prospective clones were created. The genotyping results can be used for the registration of clones and the protection of breeders’ rights.     

LSGermOPA,a custom OPA of 384 EST-derived SNPs for high-throughput lettuce (<Emphasis Type="Italic">Lactuca sativa</Emphasis> L.) germplasm fingerprinting

To deploy a high-throughput genotyping platform in germplasm management, we designed and tested a custom OPA (Oligo Pool All), LSGermOPA, for assessing the genetic diversity and population structure of the USDA cultivated lettuce (Lactuca sativa L.) germplasm collection using Illumina’s GoldenGate assay. This OPA contains 384 EST (expressed sequence tag)-derived SNP (single nucleotide polymorphism) markers selected from a large set of SNP markers experimentally validated and mapped by the Compositae Genome Project. Used for genotyping were DNA samples prepared from bulked leaves of five randomly-selected seedlings from each of 380 lettuce accessions. High-quality genotype data were obtained from 354 of the 384 SNPs. The reproducibility of automatic genotype calls was 99.8% as calculated from the four pairs of duplicated DNA samples in the assay. An unexpectedly high percentage of heterozygous genotypes at the polymorphic loci for most accessions indicated a high level of heterogeneity within accessions. Only 148 homogenous accessions, collectively comprising all five horticultural types, were used in subsequent analyses to demonstrate the usefulness of LSGermOPA. The results of phylogenetic relationship, population structure and genetic differentiation analyses were consistent with previous reports using other marker systems. This suggests that LSGermOPA is capable of revealing sufficient levels of polymorphism among lettuce cultivars and is appropriate for rapid assessment of genetic diversity and population structure in the lettuce germplasm collection. Challenges and strategies for effective genotyping and managing lettuce germplasm are discussed.     

Reconstruction of a grapevine pedigree by microsatellite analysis

Microsatellites are ideal markers for revealing genetic relationships between individuals because of their co-dominant inheritance. In this study we determined the genetic profiles of 52 grapevine cultivars using 32 microsatellite markers. We were able to define the complex genetic relationship among nine European grapevine cultivars. None of these parent-offspring combinations were anticipated beforehand. The ancient cultivar Silvaner is shown to be an offspring from Traminer and Österreichisch Weiß. Rotgipfler originates from a cross between Traminer and Roter Veltliner, while Frühroter Veltliner originates from Roter Veltliner×Silvaner and Frühroter Veltliner× Portugieser gave rise to Jubiläumsrebe. A pedigree illustrating the putative crosses was reconstructed.     

Identifying Litchi (Litchi chinensis Sonn.) Cultivars and Their Genetic Relationships Using Single Nucleotide Polymorphism (SNP) Markers

Litchi is an important fruit tree in tropical and subtropical areas of the world. However, there is widespread confusion regarding litchi cultivar nomenclature and detailed information of genetic relationships among litchi germplasm is unclear. In the present study, the potential of single nucleotide polymorphism (SNP) for the identification of 96 representative litchi accessions and their genetic relationships in China was evaluated using 155 SNPs that were evenly spaced across litchi genome. Ninety SNPs with minor allele frequencies above 0.05 and a good genotyping success rate were used for further analysis. A relatively high level of genetic variation was observed among litchi accessions, as quantified by the expected heterozygosity (He = 0.305). The SNP based multilocus matching identified two synonymous groups, ‘Heiye’ and ‘Wuye’, and ‘Chengtuo’ and ‘Baitangli 1’. A subset of 14 SNPs was sufficient to distinguish all the non-redundant litchi genotypes, and these SNPs were proven to be highly stable by repeated analyses of a selected group of cultivars. Unweighted pair-group method of arithmetic averages (UPGMA) cluster analysis divided the litchi accessions analyzed into four main groups, which corresponded to the traits of extremely early-maturing, early-maturing, middle-maturing, and late-maturing, indicating that the fruit maturation period should be considered as the primary criterion for litchi taxonomy. Two subpopulations were detected among litchi accessions by STRUCTURE analysis, and accessions with extremely early- and late-maturing traits showed membership coefficients above 0.99 for Cluster 1 and Cluster 2, respectively. Accessions with early- and middle-maturing traits were identified as admixture forms with varying levels of membership shared between the two clusters, indicating their hybrid origin during litchi domestication. The results of this study will benefit litchi germplasm conservation programs and facilitate maximum genetic gains in litchi breeding programs.     

High-throughput genotyping in citrus accessions using an SNP genotyping array

We developed a 384 multiplexed SNP array, named CitSGA-1, for the genotyping of Citrus cultivars, and evaluated the performance and reliability of the genotyping. SNPs were surveyed by direct sequence comparison of the sequence tagged site (STS) fragment amplified from genomic DNA of cultivars representing the genetic diversity of citrus breeding in Japan. Among 1497 SNPs candidates, 384 SNPs for a high-throughput genotyping array were selected based on physical parameters of Illumina’s bead array criteria. The assay using CitSGA-1 was applied to a hybrid population of 88 progeny and 103 citrus accessions for breeding in Japan, which resulted in 73,726 SNP calls. A total of 351 SNPs (91 %) could call different genotypes among the DNA samples, resulting in a success rate for the assay comparable to previously reported rates for other plant species. To confirm the reliability of SNP genotype calls, parentage analysis was applied, and it indicated that the number of reliable SNPs and corresponding STSs were 276 and 213, respectively. The multiplexed SNP genotyping array reported here will be useful for the efficient construction of linkage map, for the detection of markers for marker-assisted breeding, and for the identification of cultivars.     

Development of a high-throughput SNP array for sea cucumber (Apostichopus japonicus) and its application in genomic selection with MCP regularized deep neural networks

High-throughput single nucleotide polymorphism (SNP) genotyping assays are powerful tools for genetic studies and genomic breeding applications for many species. Though large numbers of SNPs have been identified in sea cucumber (Apostichopus japonicus), but, as yet, no high-throughput genotyping platform is available for this species. In this study, we designed and developed a high-throughput 24 K SNP genotyping array named HaishenSNP24K for A. japonicus, based on the multi-objective-local optimization (MOLO) algorithm and HD-Marker genotyping method. The SNP array exhibited a relatively high genotyping call rate (> 96%), genotyping accuracy (>95%) and exhibited highly polymorphic in sea cucumber populations. In addition, we also assessed its application in genomic selection (GS). Deep neural networks (DNN) that can capture the complicated interactions of genes have been proposed as a promising tool in GS for SNP-based genomic prediction of complex traits in animal breeding. To overcome the problem of over-fitting when using the HaishenSNP24K array as high-dimensional DNN input, we developed minmax concave penalty (MCP) regularization for sparse deep neural networks (DNN-MCP) that finds an optimal sparse structure of a DNN by minimizing the square error subject to the non-convex penalty MCP on the parameters (weights and biases). Compared to two linear models, namely RR-GBLUP and Bayes B, and the nonlinear model DNN, DNN-MCP has greatly improved the genomic prediction ability for three quantitative traits (e.g., wet weight, dry weight and survival time) in the sea cucumber population. To the best of our knowledge, this is the first work to develop a high-throughput SNP array for A. japonicus and a new model DNN-MCP for genomic prediction of complex traits in GS. The present results provide evidence that supports the HaishenSNP24K array with DNN-MCP will be valuable for genetic studies and molecular breeding in A. japonicus.     

Developing Single Nucleotide Polymorphism (SNP) Markers for the Identification of Coffee Germplasm

Coffee is one of the most widely consumed beverages and represents a multibillion-dollar global industry. Accurate identification of coffee cultivars is essential for efficient management, exchange, and use of coffee genetic resources. To date, a universal platform that can allow data comparison across different laboratories and genotyping platforms has not been developed by the coffee research community. Using expressed sequence tags (EST) of Coffea arabica, C. canephora and C. racemosa from public databases, we developed 7538 single nucleotide polymorphism (SNP) markers and selected 180 for validation using 25 C. arabica and C. canephora accessions from Puerto Rico. Based on the validation result, we designated a panel of 55 SNP markers that are polymorphic across the two species. The average minor allele frequency and information index of this SNP panel are 0.281 and 0.690, respectively. This panel enabled the differentiation of all tested accessions of C. canephora, which accounts for 79.2 % of the total polymorphism in the samples. Only 21.8 % of the polymorphic SNPs were detected in the 12 C. arabica cultivars, which, nonetheless, were able to unambiguously differentiate the 12 Arabica cultivars into ten unique genotypes, including two synonymous groups. Several local Puerto Rican cultivars with partial Timor pedigree, including Limaní, Frontón, and TARS 18087, showed substantial genetic difference from the other common Arabica cultivars, such as Catuai, Borbón, and Mundo Nuevo. This coffee SNP panel provides robust and universally comparable DNA fingerprints, thus can serve as a genotyping tool to assist coffee germplasm management, propagation of planting material, and coffee cultivar authentication.     

Development of a 135K SNP genotyping array for Actinidia arguta and its applications for genetic mapping and QTL analysis in kiwifruit

Kiwifruit (Actinidia spp) is a woody, perennial and deciduous vine. In this genus, there are multiple ploidy levels but the main cultivated cultivars are polyploid. Despite the availability of many genomic resources in kiwifruit, SNP genotyping is still a challenge given these different levels of polyploidy. Recent advances in SNP array technologies have offered a high-throughput genotyping platform for genome-wide DNA polymorphisms. In this study, we developed a high-density SNP genotyping array to facilitate genetic studies and breeding applications in kiwifruit. SNP discovery was performed by genome-wide DNA sequencing of 40 kiwifruit genotypes. The identified SNPs were stringently filtered for sequence quality, predicted conversion performance and distribution over the available Actinidia chinensis genome. A total of 134 729 unique SNPs were put on the array. The array was evaluated by genotyping 400 kiwifruit individuals. We performed a multidimensional scaling analysis to assess the diversity of kiwifruit germplasm, showing that the array was effective to distinguish kiwifruit accessions. Using a tetraploid F1 population, we constructed an integrated linkage map covering 3060.9 cM across 29 linkage groups and performed QTL analysis for the sex locus that has been identified on Linkage Group 3 (LG3) in Actinidia arguta. Finally, our dataset presented evidence of tetrasomic inheritance with partial preferential pairing in A. arguta. In conclusion, we developed and evaluated a 135K SNP genotyping array for kiwifruit. It has the advantage of a comprehensive design that can be an effective tool in genetic studies and breeding applications in this high-value crop.     

Microsatellite variability in grapevine cultivars from different European regions and evaluation of assignment testing to assess the geographic origin of cultivars

Nine microsatellite markers (VVMD5, VVMD7, VVS2, ssrVrZAG21, ssrVrZAG47, ssrVrZAG62, ssrVrZAG64, ssrVrZAG79 and ssrVrZAG83) were chosen for the analysis of marker information content, the genetic structure of grapevine cultivar gene pools, and differentiation among grapevines sampled from seven European vine-growing regions (Greece, Croatia, North Italy, Austria and Germany, France, Spain and Portugal). The markers were found to be highly informative in all cultivar groups and therefore constitute a useful set for the genetic characterization of European grapevines. Similar and high levels of genetic variability were detected in all investigated grapevine gene pools. Genetic differentiation among cultivars from different regions was significant, even in the case of adjacent groups such as the Spanish and Portuguese cultivars. No genetic differentiation could be detected between vines with blue and white grapes, indicating that they have undergone the processes of cultivar development jointly. The observed genetic differentiation among vine-growing regions suggested that cultivars could possibly be assigned to their regions of origin according to their genotypes. This might allow one to determine the geographical origin of cultivars with an unknown background. The assignment procedure proved to work for cultivars from the higher differentiated regions, as for example from Austria and Portugal. Received: 10 April 1999 / Accepted: 25 May 1999     

Pedigree Reconstruction of the Italian Grapevine Aglianico (Vitis vinifera L.) from Campania

A total of 41 accessions of Aglianico belonging to three different biotypes (Taburno, Taurasi, and Vulture) and 9 accessions of Sirica grapes were sampled from diverse areas of Campania (Italy). All accessions were first genotyped using 21 microsatellite markers (SSR) to evaluate possible homonymies, synonymies, and the genetic structure of each group. A larger dataset was then constructed adding Italian and International cultivars. On the basis of results obtained analyzing the first dataset, further investigations were carried out enlarging the number of investigated loci (up to 43). The addition of 22 SSRs was useful in the definition of likely genetic relationships linking Aglianico biotypes, Sirica and Syrah. According to their SSR allelic profiles, the monophyletic origin of the three Aglianico biotypes was confirmed. Among Aglianico Taburno accessions, eight samples (called Aglianico like-to-type) performed a different SSR allelic profile from Aglianico true-to-type. Sirica and Syrah proved to be synonyms. This work allowed to determine the genetic relationship between Aglianico and the cultivars supposed to be related. The parentage analysis was investigated. The most likely pedigree has been reconstructed; revealing a second-degree relationship between the worldwide cultivated Syrah from the Rhone Valley and Aglianico. Aglianico like-to-type appeared related to Aglianico in a parent-offspring fashion.     

SYBR green dye-based probe-free SNP genotyping: Introduction of T-Plex real-time PCR assay

Single-nucleotide polymorphism (SNP) genotyping is widely used in genetic association studies to characterize genetic factors underlying inherited traits. Despite many recent advances in high-throughput SNP genotyping, inexpensive and flexible methods with reasonable throughput levels are still needed. Real-time PCR methods for discovering and genotyping SNPs are becoming increasingly important in various fields of biology. In this study, we introduce a new, single-tube strategy that combines the tetra-primer ARMS PCR assay, SYBR Green I-based real-time PCR, and melting-point analysis with primer design strategies to detect the SNP of interest. This assay, T-Plex real-time PCR, is based on the T_m discrimination of the amplified allele-specific amplicons in a single tube. The specificity, sensitivity, and robustness of the assay were evaluated for common mutations in the FV, PII, MTHFR, and FGFR3 genes. We believe that T-Plex real-time PCR would be a useful alternative for either individual genotyping requests or large epidemiological studies.