Genetic variation and identification of promising sour cherries inferred from microsatellite markers

The aim of this study was to identify the group of highly polymorphic microsatellite markers for identification of promising sour cherries. From among 30 tested microsatellite (SSR) markers, 19 were selected to profile genetic variation in sour cherries due to high polymorphisms. Results indicated a high level of polymorphism of the accessions based on these markers. Totally 148 alleles were generated at 19 SSR loci which 122 alleles were polymorphic. The number of total alleles per locus ranged from 2 to 15 with an average of 7.78 and polymorphism percentage varied from 50 to 100% with an average of 78.76%. Also, PIC varied from 0.47 to 0.89 with an average of 0.79 and heterozygosity ranged from 0.35 to 0.55 with a mean of 0.45. According to these results, these markers specially PMS3, PS12A02, PceGA34, BPPCT021, EMPA004, EMPA018, and Pchgms3 produced good and various levels of amplifications and showed high heterozygosity levels. By the way, the genetic similarity showed a high diversity among the sour cherries. Cluster analysis separated improved cultivars from promising sour cherries, and the PCoA supported the cluster analysis results. Since the studied sour cherries were superior to the improved cultivars and were separated from them in most groups, these sour cherries can be considered as distinct genotypes for further evaluations in the framework of breeding programs and new cultivar identification in cherries. Results also confirmed that the set of microsatellite markers employed in this study demonstrated usefulness of microsatellite markers for the identification of sour cherry genotypes.     

Assessment of cultivated cherry germplasm in Iran by multivariate analysis

Key message

This work is an important step in the conservation of genetic cherry resources, which showed distinctive and interesting agronomical characters. Also it introduces suitable genotypes for cultivation and breeding studies.

Abstract

The purpose of this study was to characterize cherry germplasm that is cultivated in Iran. Thirty-three morphopomological parameters were studied in this germplasm, consisting of 70 cherry genotypes (41 sweet cherry, 24 sour cherry and 5 duke cherry genotypes). A wide variation was found in blooming time, ripening time, fruit weight, fruit color, anthocyanin, total soluble solids (TSS), titratable acidity (TA), fruit dimensions and flesh firmness and stone size. There were close positive correlations between fruit weight and fruit dimensions, and between fruit weight and fruit stalk weight, fruit flesh firmness and cracking and also a negative correlation between pH and TA. Dendrogram gave a clear separation between the sour, duke and sweet cherry species and also showed existing intraspecific morphological variation. Based on fruit size and organoleptic properties, the sweet cherry genotypes ‘Siah-Mashhad’, ‘Takdaneh-Mashhad’, ‘Shabestar’, ‘Siah-Daneshkade’, ‘Ghazvin’ and ‘Droongezna’ are recommended for fresh consumption. Good fruit chemical composition and late-ripening time stands out genotypes ‘Dirres-Italia’, ‘Dirres-Pardis’, ‘Maremoot’, ‘Abardeh’ and ‘Rorshon’ and make them suitable for processing. Also, ‘Gilas46’ and ‘Gilas49’ were substantially late-ripening, a characteristic that makes these genotypes highly suitable for breeding studies in case of ripening time. Furthermore, sour cherries ‘Hashtgerd2’ and ‘Hashtgerd3’ and duke cherries ‘Pardis1’ and ‘Pardis3’ were the best genotypes. This work is an important step in the conservation of genetic cherry resources in Iran, which showed distinctive and interesting agronomical characters such as low susceptibility to fruit cracking, high levels of total soluble solids, early fruit maturity and high fruit quality.     

Phenotypic and genotypic variation in Iranian sour and duke cherries

Phenotypic and genotypic variation and structure of 29 sour cherry (P. cerasus) and duke cherry (P. x gondouinii) genotypes from different regions of Iran were identified using random amplified polymorphic DNA (RAPD) markers and morphological characters. Furthermore, one Prunus mahaleb genotype was used as an outgroup for molecular analysis. For morphological analysis, 23 variables were recorded to detect similarities between and among studied sour and duke cherries. Most studied characteristics were showing a high degree of variability. Principal component analysis showed that the first three components explained a total of 73.87 % of the whole phenotypic variability. Based on the morphological cluster analysis, studied sour and duke cherry genotypes were placed into three main clusters. The first main cluster included 16 sour cherry genotypes. The second main cluster contained all duke cherry genotypes and eight sour cherry genotypes, while, only one sour cherry genotype was placed in third main cluster. For RAPD analysis, 17 primers generated a total of 233 discernible and reproducible bands across genotypes analyzed, out of which 214 (91.51 %) were polymorphic with varied band size from 300 to 3000 bp. According to the similarity matrix, the lowest similarity was obtained between P. mahaleb, as an outgroup, and sour cherry. Dendrogram based on molecular data separated genotypes according to their species and geographic origin. Low correlation was observed between the similarity matrices obtained based on morphological and RAPD data. The information obtained here could be valuable for devising strategies for conservation of Iranian sour and duke cherries.     

Simple sequence repeat-based assessment of genetic relationships among Prunus rootstocks

Ten SSR loci, previously developed for Prunus, were analyzed to examine genetic relationships among 23 rootstock candidates for sweet and sour cherries, of the species P. avium, P. cerasus, P. mahaleb, and P. angustifolia. Five genotypes of P. laurocerasus, not used as rootstock, were included in the molecular analysis. The number of alleles per locus ranged from 8 to 12, with a mean of 9, while the number of microsatellite genotypes varied from 8 to 17, indicating that the SSRs were highly informative. The degree of heterozygosity (0.61) was high. Clustering analysis resulted in two main clusters. The first cluster was divided into two subclusters; the first subcluster consisted of P. avium and P. cerasus, and the second subcluster consisted of P. laurocerasus. The second cluster was divided into two subclusters. The first subcluster consisted of P. mahaleb genotypes and the second consisted of P. angustifolia genotypes. The reference rootstocks also clustered with their associated botanical species. Unweighted pair-group method with arithmetic mean analysis demonstrated that P. laurocerasus genotypes had less genetic variation and that P. avium genotypes were more closely related to P. cerasus. The SSR-based phylogeny was generally consistent with Prunus taxonomy information, suggesting the applicability of SSR analysis for genotyping and phylogenetic studies in the genus Prunus.     

Identification and genetic diversity of plum cultivars grown in Belarus

A study of the collection of sour cherry, sweet cherry, common plum, diploid and tetraploid types of plums, and apricots grown in Belarus carried out using 20 SSR markers showed that they are characterized by high genetic diversity. Among 106 genotypes, 524 polymorphic alleles were identified. The average number of alleles was 15.4 in common plum samples, 11.3 in diploid and tetraploid plum, 9.3 in sour cherry, 6.0 in apricot, and 4.9 in sweet cherry. The greatest genetic diversity is characteristic of common plum cultivars (PD = 0.811). The genetic diversity decreases as follows: diploid plum (PD = 0.741), sour cherry (PD = 0.721), apricot (PD = 0.673), and sweet cherry (PD = 0.655). Cluster analysis shows that the degree of intraspecific divergence in sour cherry and sweet cherry cultivars is less than that of common plum, diploid plum, and apricot plum. Although apricots and plums belong to the subgenus Prunophora, according to the results of SSR analysis, apricot cultivars form a cluster that is more distant from both Cerasus and Prunophora. A set of seven SSR markers (EMPA001, EMPA005, EMPA018, EMPA026 and BPPCT025, BPPCT026, BPPCT039) was selected for DNA identification of cultivars of sour cherry, sweet cherry, common plum, diploid plum, and apricot, as well as species and interspecies hybrids.     

Genetic diversity of some Iranian sweet cherry (<Emphasis Type="Italic">Prunus avium</Emphasis>) cultivars using microsatellite markers and morphological traits

The aim of this study was to characterize 23 important Iranian sweet cherry (Prunus avium) cultivars collected from different provinces of Iran and 1 foreign cultivar, which was used as control, considered for breeding programs by using 21 microsatellite markers and 27 morphological traits. In sweet cherry (Prunus avium) accessions, leaf, fruit, and stone morphological characters were evaluated during two consecutive years. The study revealed a high variability in the set of evaluated sweet cherry accessions. The majority of important correlations were determined among variables representing fruit and leaf size and variables related to color. Cluster analysis distinguished sweet cherry accessions into two distinct groups. Principal component analysis (PCA) of qualitative and quantitative morphological parameters explained over 86.59% of total variability in the first seven axes. In PCA, leaf traits such as leaf length and width, and fruit traits such as length, width, and weight, and fruit flesh and juice color were predominant in the first two components, indicating that they were useful for the assessment of sweet cherry germplasm characterization. Out of 21 SSR markers, 16 were polymorphic, producing 177 alleles that varied from 4 to 16 alleles (9.35 on average) with a mean heterozygosity value of 0.82 that produced successful amplifications and revealed DNA polymorphisms. Allele size varied from 95 to 290 bp. Cluster analyses showed that the studied sweet cherry genotypes were classified into five main groups based mainly on their species characteristics and SSR data. In general, our results did not show a clear structuring of genetic variability within the Iranian diffusion area of sweet cherry, so it was not possible to draw any indications on regions of provenance delimitation. The results of this study contribute to a better understanding of sweet cherry genetic variations in Iran, thus making for more efficient programs aimed at preserving biodiversity and more rational planning of the management of reproductive material.     

Analysis and Optimization of Bulk DNA Sampling with Binary Scoring for Germplasm Characterization

The strategy of bulk DNA sampling has been a valuable method for studying large numbers of individuals through genetic markers. The application of this strategy for discrimination among germplasm sources was analyzed through information theory, considering the case of polymorphic alleles scored binarily for their presence or absence in DNA pools. We defined the informativeness of a set of marker loci in bulks as the mutual information between genotype and population identity, composed by two terms: diversity and noise. The first term is the entropy of bulk genotypes, whereas the noise term is measured through the conditional entropy of bulk genotypes given germplasm sources. Thus, optimizing marker information implies increasing diversity and reducing noise. Simple formulas were devised to estimate marker information per allele from a set of estimated allele frequencies across populations. As an example, they allowed optimization of bulk size for SSR genotyping in maize, from allele frequencies estimated in a sample of 56 maize populations. It was found that a sample of 30 plants from a random mating population is adequate for maize germplasm SSR characterization. We analyzed the use of divided bulks to overcome the allele dilution problem in DNA pools, and concluded that samples of 30 plants divided into three bulks of 10 plants are efficient to characterize maize germplasm sources through SSR with a good control of the dilution problem. We estimated the informativeness of 30 SSR loci from the estimated allele frequencies in maize populations, and found a wide variation of marker informativeness, which positively correlated with the number of alleles per locus.     

Evaluation of the glycoside hydrolase activity of a Brettanomyces strain on glycosides from sour cherry (Prunus cerasus L.) used in the production of special fruit beers

The glycoside hydrolase activity of Saccharomyces cerevisiae and Brettanomyces custersii was examined on sour cherry (Prunus cerasus L.) glycosides with bound volatile compounds. Refermentations by the beta-glucosidase-negative S. cerevisiae strains LD25 and LD40 of sour cherry juice-supplemented beer demonstrated only a moderate increase of volatiles. In contrast, the beta-glucosidase-positive B. custersii strain LD72 showed a more pronounced activity towards glycosides with aliphatic alcohols, aromatic compounds and terpenoid alcohols. Important contributors to sour cherry aroma such as benzaldehyde, linalool and eugenol were released during refermentation as shown by analytical tools. A gradually increasing release was observed during refermentations by B. custersii when whole sour cherries, sour cherry pulp or juice were supplemented in the beer. Refermentations with whole sour cherries and with sour cherry stones demonstrated an increased formation of benzyl compounds. Thus, amygdalin was partially hydrolysed, and a large part of the benzaldehyde formed was mainly reduced to benzyl alcohol and some further esterified to benzyl acetate. These findings demonstrate the importance and interesting role of certain Brettanomyces species in the production of fruit lambic beers such as 'Kriek'.     

Genetic variation in wild Prunus L. subgen. Cerasus germplasm from Iran characterized by nuclear and chloroplast SSR markers

Key message

The selected material of Cerasus subgen. will be useful for conservation and management and important for Prunus breeding programs.

Abstract

Knowledge of relationships among the cultivated and wild species of Cerasus is important for recognizing gene pools in germplasm and developing effective conservation and management strategies. In this study, genetic and phylogenetic relationships of wild Cerasus subgenus species naturally growing in Iran, including P. avium (mazzard), P. mahaleb, P. brachypetala, P. incana, P. yazdiana, P. microcarpa subsp. microcarpa, P. microcarpa subsp. diffusa and P. pseudoprostrata and three commercial species, sweet cherry (P. avium), sour cherry (P. cerasus) and duke cherry (P. x gondouinii) was investigated based on 16 nuclear SSR and five chloroplast SSR. Very high level of polymorphism was detected among the studied species based these molecular markers, indicating high inter and intraspecific genetic variation. Inter and intraspecific genetic similarity coefficients varied from 0.00 to 1.00, indicating high genetic variation in studied germplasm. These two molecular markers types could distinguish differences between all species so that accessions of each species were placed into a single group. Based on molecular markers, a close correlation was observed between intraspecific variation and geographical distribution. Furthermore, based on nuSSR primers, most wild species showed 2–4 alleles and may be tetraploid. In conclusion, the conservation of these highly diverse native populations of Iranian wild Cerasus germplasm is recommended for future breeding activity.     

Assessment of genetic diversity of Czech sweet cherry cultivars using microsatellite markers

We analyzed 24 sweet and wild cherry genotypes collected in Czech Republic to determine genetic variation, using previously described 16 SSR primers to adapt a fast, reliable method for preliminary screening and comparison of sweet cherry germplasm collections. All SSRs were polymorphic and they were able all together to distinguish unambiguously the genotypes. These SSR primers generated 70 alleles; the number of alleles per primer ranged from 2 to 7, with a mean of 4.4 putative alleles per primer combination. The primer UDP-98-412 gave the highest number of polymorphic bands (totally 7), while Empa2 and Empa3 gave the lowest number (2). The allele frequency varied from 2.1% to 87.5%. We observed 10% of unique alleles at different loci. The observed heterozygosity value ranged from 0.25 to 0.96 with an average of 0.72 while expected heterozygosity value varied from 0.22 to 0.75 with an average of 0.59. The PIC value ranged from 0.21 to 0.71 with a mean value of 0.523. Cluster analysis separated the investigated cultivars in two groups. High level of genetic diversity obtained in the collection and proved to be sufficiently genetically diverse and therefore these genotypes would be useful to breeders for the development of new cherry cultivars.     

Development and cross-species/genera transferability of microsatellite markers discovered using 454 genome sequencing in chokecherry (Prunus virginiana L.)

Chokecherry (Prunus virginiana L.) (2n?=?4x?=?32) is a unique Prunus species for both genetics and disease-resistance research due to its tetraploid nature and X-disease resistance. However, no genetic and genomic information on chokecherry is available. A partial chokecherry genome was sequenced using Roche 454 sequencing technology. A total of 145,094 reads covering 4.8?Mbp of the chokecherry genome were generated and 15,113 contigs were assembled, of which 11,675 contigs were larger than 100?bp in size. A total of 481 SSR loci were identified from 234 (out of 11,675) contigs and 246 polymerase chain reaction (PCR) primer pairs were designed. Of 246 primers, 212 (86.2?%) effectively produced amplification from the genomic DNA of chokecherry. All 212 amplifiable chokecherry primers were used to amplify genomic DNA from 11 other rosaceous species (sour cherry, sweet cherry, black cherry, peach, apricot, plum, apple, crabapple, pear, juneberry, and raspberry). Thus, chokecherry SSR primers can be transferable across Prunus species and other rosaceous species. An average of 63.2 and 58.7?% of amplifiable chokecherry primers amplified DNA from cherry and other Prunus species, respectively, while 47.2?% of amplifiable chokecherry primers amplified DNA from other rosaceous species. Using random genome sequence data generated from next-generation sequencing technology to identify microsatellite loci appears to be rapid and cost-efficient, particularly for species with no sequence information available. Sequence information and confirmed transferability of the identified chokecherry SSRs among species will be valuable for genetic research in Prunus and other rosaceous species. Key message A total of 246 SSR primers were identified from chokecherry genome sequences. Of which, 212 were confirmed amplifiable both in chokecherry and other 11 other rosaceous species.     

Genetic variability of introduced and local Spanish peach cultivars determined by SSR markers

A set of 94 peach cultivars including Spanish native peach and foreign commercial cultivars were analyzed using 15 SSR markers, selected for their high level of polymorphism. The number of alleles obtained varied from two to 11 with an average of 6.73 giving 185 different genotypes. All the cultivars showed a unique genetic profile, each one using different genotypic combination of all loci. BPPCT001 was the most informative locus showing also the highest discrimination power. Only six loci allowed the unambiguous separation of all the Spanish native cultivars studied, and the genotypic combination of only eight loci permitted the total differentiation of the 94 peach cultivars analyzed. The six selected loci (BPPCT001, BPPCT006, BPPCT008, PS9f8, UDP98-022, and UDP98-412) seem to be very useful for future Spanish peach identification works, and they will help to establish a molecular data base for native peach cultivars. UPGMA analysis was performed from the genetic distance matrix, and allowed the arrangement of all genotypes according to their genetic diversity. The genetic diversity among cultivars, observed in this work, led to their separation according to their regional origin, their morphological characteristics, and especially according to their fruit traits. Analysis of molecular variance was performed for seven populations from different regions of Spain and USA to examine the distribution of genetic variation of the studied accessions, showing that the major variation occurred within populations in each geographic site. The results reveal the existence of two diversity regions in Spain for peach germplasm.     

Genetic diversity analysis in sorghum germplasm as estimated by AFLP, SSR and morpho-agronomical markers

A comparison of the different methods of the estimation of genetic diversity is important to evaluate their utility as a tool in germplasm conservation and plant breeding. Amplified fragment length polymorphism (AFLP), microsatellites or SSR and morphological traits markers were used to evaluate 45 sorghum germplasm for genetic diversity assessment and discrimination power. The mean polymorphism information content (PIC) values were 0.65 (AFLPs) and 0.46 (SSRs). The average pairwise genetic distance estimates were 0.57 (morphological traits), 0.62 (AFLPs) and 0.60 (SSRs) markers data sets. The Shannon diversity index was higher for morphological traits (0.678) than AFLP (0.487) and SSR (0.539). The correlation coefficients obtained by the Mantel matrix correspondence test, which was used to compare the cophenetic matrices for the different markers, showed that estimated values of genetic relationship given for AFLP and SSR markers, as well as for morphological and SSR markers were significantly related (p <0.001). However, morphological and AFLP data showed non-significant correlation (p >0.05). Both data sets from AFLP and SSR allowed all accessions to be uniquely identified; two accessions could not be distinguished by the morphological data. In summary, AFLP and SSR markers proved to be efficient tools in assessing the genetic variability among sorghum genotypes. The patterns of variation appeared to be consistent for the three marker systems, and they can be used for designing breeding programmes, conservation of germplasm and management of sorghum genetic resources.     

用SSR和AFLP技术分析花生抗青枯病种质遗传多样性的比较

由Ralstonia solanacearum E.F.Smith引起的青枯病是若干亚洲和非洲国家花生生产的重要限制因子,利用抗病品种是防治这一病害最好的措施。虽然一大批抗青枯病花生种质资源材料已被鉴定出来,但对其遗传多样性没有足够的研究,限制了在育种中的有效利用。本研究以31份对青枯病具有不同抗性的栽培种花生种质为材料,通过简单序列重复(SSR)和扩增片段长度多态性(AFLP)技术分析了它们的遗传多样性。通过78对SSR引物和126对AFLP引物的鉴定,筛选出能显示抗青枯病种质多态性的SSR引物29对和AFLP引物32对。所选用的29对多态性SSR引物共扩增91条多态性带,平均每对引物扩增3.14条多态性带;32对多态性AFLP引物共扩增72条多态性带,平均扩增2.25条多态性带。在所筛选引物中,4对SSR引物(14H06,7G02,3A8,16C6)和1对AFLP引物(P1M62)检测花生多态性的效果优于其他引物。SSR分析获得的31个花生种质的遗传距离为0.12-0.94,平均为0.53,而AFLP分析获得的遗传距离为0.06～0.57,平均为0.25,基于SSR分析的遗传距离大于基于AFLP分析的遗传距离,疏枝亚种组的遗传分化相对大于密枝亚种组。基于两种分析方法所获得的聚类结果基本一致,但SSR数据聚类结果与栽培种花生的形态分类系统更为吻合。根据分析结果,对构建青枯病抗性遗传图谱群体的核心亲本和抗性育种策略提出了建议。     

Transferability of microsatellite markers from Brachypodium distachyon to Miscanthus sinensis, a potential biomass crop

Miscanthus sinensis has high biomass yield and contributed two of the three genomes in M. x giganteus, a bioenergy crop widely studied in Europe and North America, and thus is a potential biomass crop and an important germplasm for Miscanthus breeding. Molecular markers are essential for germplasm evaluation, genetic analyses and new cultivar development in M. sinensis. In the present study, we reported transferability of simple sequence repeat (SSR) markers from Brachypodium distachyon to M. sinensis. A set of 57 SSR markers evenly distributed across the B. distachyon genome were deliberately designed. Out of these B. distachyon SSR markers, 86.0% are transferable to M. sinensis. The SSR loci amplified in M. sinensis were validated by re-sequencing the amplicons. The polymorphism information content (PIC) of the transferable SSR markers varied from 0.073 to 0.375 with a mean of 0.263, assessed based on 21 M. sinensis genotypes. Phylogenetic tree based on 162 alleles detected by 49 SSR markers could unambiguously distinguish B. distachyon from M. sinensis, and cluster 21 M. sinensis genotypes into three groups that are basically in coincidence with their geographical distribution and ecotype classifications. The markers developed by the comparative genomic approach could be useful for germplasm evaluation, genetic analysis, and marker-assisted breeding in Miscanthus.     

基于SSR分子标记的酸浆属植物亲缘关系研究

近年来, 由于营养价值高、果实可当水果食用且具有潜在的药用价值, 酸浆属(Physalis)植物在全球范围内受到了越来越多的关注。采用SSR分子标记技术对我国范围内主要分布的4种酸浆属植物的22份样品进行了亲缘关系研究, 结果表明, 20对SSR引物共扩增出118个位点, 其中107个(90.7%)为多态性位点; 平均种间遗传相似系数为0.501。UPGMA聚类和PCoA分析结果得出相似结论, 并且将供试酸浆属植物样品分为两大类。其中, 酸浆(P. alkekengi var. francheti)的所有样品与其它酸浆属植物的遗传距离最远, 单独聚为一类, 与前人的研究结果非常吻合。研究表明, SSR标记遗传信息丰富, 可以用于酸浆属植物的亲缘关系分析。研究结果为酸浆属种质资源保护提供了有效信息, 并且为酸浆属植物的分子辅助育种奠定了重要基础。     

Chloroplast inheritance and DNA variation in sweet, sour, and ground cherry

Sour cherry (Prunus cerasus L.) is an allotetraploid and both sweet cherry (P avium L.) and ground cherry (P. fruticosa Pall.) are the proposed progenitor species. The study investigated the maternal species origin(s) of sour cherry using chloroplast DNA (cpDNA) markers and a diverse set of 22 sweet, 25 sour, and 7 ground cherry selections. Two cpDNA restriction fragment length polymorphisms (RFLPs) and one polymerase chain reaction (PCR) fragment length polymorphism were identified among the 54 selections. The three polymorphisms considered together resolved four haplotypes. Analysis of sour cherry progeny indicated that the chloroplast genome is maternally inherited and therefore appropriate to use in determining maternal phylogenetic relationships. Ground cherry was found more likely than sweet cherry to be the maternal progenitor species of sour cherry since 23 of 25 of the sour cherry selections had the most prevalent ground cherry haplotype. However, the other two sour cherry selections tested had the most prevalent sweet cherry haplotype and a wild French sweet cherry selection had the most prevalent ground cherry haplotype. The results underscore the importance of using diverse Prunus germplasm to investigate phylogenetic relationships.     

Transferability of Newly Developed Pear SSR Markers to Other Rosaceae Species

A set of 120 simple sequence repeats (SSRs) was developed from the newly assembled pear sequence and evaluated for polymorphisms in seven genotypes of pear from different genetic backgrounds. Of these, 67 (55.8 %) primer pairs produced polymorphic amplifications. Together, the 67 SSRs detected 277 alleles with an average of 4.13 per locus. Sequencing of the amplification products from randomly picked loci NAUPy31a and NAUpy53a verified the presence of the SSR loci. When the 67 primer pairs were tested on 96 individual members of eight species in the Rosaceae family, 61.2 % (41/67) of the tested SSRs successfully amplified a PCR product in at least one of the Rosaceae genera. The transferability from pear to different species varied from 58.2 % (apple) to 11.9 % (cherry). The ratio of transferability also reflected the closer relationships within Maloideae over Prunoideae. Two pear SSR markers, NAUpy43c and NAUpy55k, could distinguish the 20 different apple genotypes thoroughly, and UPGMA cluster analysis grouped them into three groups at the similarity level of 0.56. The high level of polymorphism and good transferability of pear SSRs to Rosaceae species indicate their promise for application to future molecular screening, map construction, and comparative genomic studies among pears and other Rosaceae species.     

Development and Evaluation of a Genome-Wide 6K SNP Array for Diploid Sweet Cherry and Tetraploid Sour Cherry

High-throughput genome scans are important tools for genetic studies and breeding applications. Here, a 6K SNP array for use with the Illumina Infinium® system was developed for diploid sweet cherry (Prunus avium) and allotetraploid sour cherry (P. cerasus). This effort was led by RosBREED, a community initiative to enable marker-assisted breeding for rosaceous crops. Next-generation sequencing in diverse breeding germplasm provided 25 billion basepairs (Gb) of cherry DNA sequence from which were identified genome-wide SNPs for sweet cherry and for the two sour cherry subgenomes derived from sweet cherry (avium subgenome) and P. fruticosa (fruticosa subgenome). Anchoring to the peach genome sequence, recently released by the International Peach Genome Initiative, predicted relative physical locations of the 1.9 million putative SNPs detected, preliminarily filtered to 368,943 SNPs. Further filtering was guided by results of a 144-SNP subset examined with the Illumina GoldenGate® assay on 160 accessions. A 6K Infinium® II array was designed with SNPs evenly spaced genetically across the sweet and sour cherry genomes. SNPs were developed for each sour cherry subgenome by using minor allele frequency in the sour cherry detection panel to enrich for subgenome-specific SNPs followed by targeting to either subgenome according to alleles observed in sweet cherry. The array was evaluated using panels of sweet (n = 269) and sour (n = 330) cherry breeding germplasm. Approximately one third of array SNPs were informative for each crop. A total of 1825 polymorphic SNPs were verified in sweet cherry, 13% of these originally developed for sour cherry. Allele dosage was resolved for 2058 polymorphic SNPs in sour cherry, one third of these being originally developed for sweet cherry. This publicly available genomics resource represents a significant advance in cherry genome-scanning capability that will accelerate marker-locus-trait association discovery, genome structure investigation, and genetic diversity assessment in this diploid-tetraploid crop group.     

Diversification of indigenous gene- pool by using exotic germplasm in lentil (Lens culinaris Medikus subsp. culinaris)

Genetic diversity was studied among 21 accessions of lentil using SSR markers and morphological traits in order to assess the diversification of Indian gene-pool of lentil through introgression of exotic genes and introduction of germplasm. Among these , 16 genotypes either had ‘Precoz’ gene, an Argentine line in their pedigree or genes from introduced lines from ICARDA. Sixty five SSR markers and eight phenotypic traits were used to analyse the level of genetic diversity in these genotypes. Forty three SSR markers (66 %) were polymorphic and generated a total of 177 alleles with an average of 4.1 alleles per SSR marker. Alleles per marker ranged from 2 to 6. The polymorphic information content ranged 0.33 to 0.80 with an average of 0.57, suggesting that SSR markers are highly polymorphic among the studied genotypes. Genetic dissimilarity based a dendrogram grouped these accessions into two main clusters (cluster I and cluster II) and it ranged 33 % to 71 %, suggesting high level of genetic diversity among the genotypes. First three components of PCA based morphological traits explained higher variance (95.6 %) compared to PCA components based on SSR markers (42.7 %) of total genetic variance. Thus, more diversity was observed for morphological traits and genotypes in each cluster and sub-cluster showed a range of variability for seed size, earliness, pods/plant and plant height. Molecular and phenotypic diversity analysis thus suggested that use of germplasm of exotic lines have diversified the genetic base of lentil germplasm in India. This diversified gene-pool will be very useful in the development of improved varieties of lentil in order to address the effect of climate change, to adapt in new cropping systems niches such as mixed cropping, relay cropping, etc. and to meet consumers’ preference.