Genotypic and Phenotypic Diversity of Cherry Species Collected in Serbia

Genetic diversity of cherry species collected in Serbia has been investigated using 26 simple sequence repeat (SSR) markers developed in Prunus. This material consisted of 77 cherry accessions corresponding to the five following species, Prunus cerasus, Prunus avium, Prunus fruticosa, Prunus mahaleb, and Prunus serrulata. A total of 98 alleles were detected, with an average of 3.7 putative alleles per primer combination. Sixteen unique, species-specific, alleles were detected with nine primer pairs in four species, P. avium, P. cerasus, P. mahaleb, and P. serrulata. The highest number of unique alleles, 8, was observed in P. mahaleb and no species-specific alleles were detected in P. fruticosa. SSR markers generated unique fingerprints for all cherry accessions. Cluster analysis classified accessions into four groups according to their taxonomy, where P. avium and P. cerasus were grouped together, supporting P. avium as one of the progenitors of sour cherry. The highest genetic variability and potential value in rootstock breeding was observed in P. mahaleb and P. serrulata material. Principal component (PC) analysis explained more than 50 % of the total observed phenotypic variability using the first two components. The most important characteristics of PC1 were leaf length and width, fruit taste, color of leaf nectaries, fruit weight, leaf blade margin incisions, petiole length, size of vegetative buds, and length of internode. The most important characteristics of PC2 were shape of leaf blade at base, fruit skin color, and leaf blade length and tip angle. The investigated germplasm proved to be sufficiently genetically diverse for use in breeding programs and development of new cherry cultivars and rootstocks.     

Characterization of novel microsatellites and development of multiplex PCR for large‐scale population studies in wild cherry,Prunus avium

Primers were developed for 14 microsatellite or simple sequence repeat (SSR) loci identified from a Prunus avium‘Charger’ genomic DNA library. In a survey of 16 wild cherry accessions 10 of the loci revealed polymorphisms of between two and six alleles. The remaining loci were found to be monomorphic. Seven polymorphic loci identified in this study and four polymorphic loci previously reported in sweet cherry were mapped and found to be unlinked. Two multiplex polymerase chain reactions (PCR) were optimized to enable the characterization of all 11 unlinked, polymorphic SSR loci.     

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.     

Evaluation of Diversity Based on Morphological Variabilities and ISSR Molecular Markers in Iranian <Emphasis Type="Italic">Cynodon dactylon</Emphasis> (L.) Pers. Accessions to Select and Introduce Cold-Tolerant Genotypes

The main goals of the present study were to screen Iranian common bermudagrasses to find cold-tolerant accessions and evaluate their genetic and morphological variabilities. In this study, 49 accessions were collected from 18 provinces of Iran. One foreign cultivar of common bermudagrass was used as control. Morphological variation was evaluated based on 14 morphological traits to give information about taxonomic position of Iranian common bermudagrass. Data from morphological traits were evaluated to categorize all accessions as either cold sensitive or tolerant using hierarchical clustering with Ward’s method in SPSS software. Inter-Simple Sequence Repeat (ISSR) primers were employed to evaluate genetic variability of accessions. The results of our taxonomic investigation support the existence of two varieties of Cynodon dactylon in Iran: var. dactylon (hairless plant) and var. villosous (plant with hairs at leaf underside and/or upper side surfaces or exterior surfaces of sheath). All 15 primers amplified and gave clear and highly reproducible DNA fragments. In total, 152 fragments were produced, of which 144 (94.73%) being polymorphic. The polymorphic information content (PIC) values ranged from 0.700 to 0.928. The average PIC value obtained with 15 ISSR primers was 0.800, which shows that all primers were informative. Probability identity (PI) and discriminating power between all primers ranged from 0.029 to 0.185 and 0.815 to 0.971, respectively. Genetic data were converted into a binary data matrix. NTSYS software was used for data analysis. Clustering was done by the unweighted pair-group method with arithmetic averages and principle coordinate analysis, separated the accessions into six main clusters. According to both morphological and genetic diversity investigations of accessions, they can be clustered into three groups: cold sensitive, cold semi-tolerant, and cold tolerant. The most cold-tolerant accessions were: Taft, Malayear, Gorgan, Safashahr, Naein, Aligoudarz, and the foreign cultivar. This study may provide useful information for further breeding programs on common bermudagrass. Selected genotypes can be evaluated for other abiotic stresses such as drought and salinity.     

High-density linkage maps constructed in sweet cherry (<Emphasis Type="Italic">Prunus avium</Emphasis> L.) using cross- and self-pollination populations reveal chromosomal homozygosity in inbred families and non-syntenic regions with the peach genome

The landrace sweet cherry (Prunus avium L.) cultivar ‘Cristobalina’ is a useful resource for sweet cherry breeding due to several important traits, including low chilling requirement, early maturity date, and self-compatibility. In this work, three families (N?=?325), derived from ‘Cristobalina’, were used to develop high-density genetic maps using the RosBREED 6K Illumina Infinium® cherry SNP array. Two of the families were derived from self-pollination, which allowed construction of the first F₂ genetic maps in the species. The other map developed was from an interspecific cross of cultivars ‘Vic’?×?‘Cristobalina’. The maps developed include 511 to 816 mapped SNPs covering 622.4 to 726.0 cM. Mapped SNP marker order and position were compared to the sweet cherry and peach genome sequences, and a high degree of synteny was observed. However, inverted and small translocated regions between peach and sweet cherry genomes were observed with the most noticeable inversion at the top of LG5. The progeny resulting from self-pollination also revealed a high level of homozygosity, as large presumably homozygous regions as well as entire homozygous LGs were observed. These maps will be used for genetic analysis of relevant traits in sweet cherry breeding by QTL analysis, and self-pollination populations will be useful for investigating inbreeding depression in a naturally outbreeding species.     

Genetic diversity in wild sweet cherries (Prunus avium) in Turkey revealed by SSR markers

Wild sweet cherry (Prunus avium) trees are abundant in the northern part of Turkey, including the Coruh Valley. We analyzed 18 wild sweet cherry genotypes collected from diverse environments in the upper Coruh Valley in Turkey to determine genetic variation, using 10 SSR primers. These SSR primers generated 46 alleles; the number of alleles per primer ranged from 3 to 7, with a mean of 4.6. The primer PS12A02 gave the highest number of polymorphic bands (N = 7), while CPSCT010, UDAp-401 and UDAp-404 gave the lowest number (N = 3). Seven groups were separated in the dendrogram, although most of the genotypes did not cluster according to phenological and morphological traits. This level of genetic diversity in these wild sweet cherry genotypes is very high and therefore these trees would be useful as breeders for crosses between cultivated sweet cherry and wild genotypes.     

A draft genome of sweet cherry (Prunus avium L.) reveals genome‐wide and local effects of domestication

Sweet cherry (Prunus avium L.) trees are both economically important fruit crops but also important components of natural forest ecosystems in Europe, Asia and Africa. Wild and domesticated trees currently coexist in the same geographic areas with important questions arising on their historical relationships. Little is known about the effects of the domestication process on the evolution of the sweet cherry genome. We assembled and annotated the genome of the cultivated variety “Big Star*” and assessed the genetic diversity among 97 sweet cherry accessions representing three different stages in the domestication and breeding process (wild trees, landraces and modern varieties). The genetic diversity analysis revealed significant genome‐wide losses of variation among the three stages and supports a clear distinction between wild and domesticated trees, with only limited gene flow being detected between wild trees and domesticated landraces. We identified 11 domestication sweeps and five breeding sweeps covering, respectively, 11.0 and 2.4 Mb of the P. avium genome. A considerable fraction of the domestication sweeps overlaps with those detected in the related species, Prunus persica (peach), indicating that artificial selection during domestication may have acted independently on the same regions and genes in the two species. We detected 104 candidate genes in sweep regions involved in different processes, such as the determination of fruit texture, the regulation of flowering and fruit ripening and the resistance to pathogens. The signatures of selection identified will enable future evolutionary studies and provide a valuable resource for genetic improvement and conservation programs in sweet cherry.     

Genetic structure of a QTL hotspot on chromosome 2 in sweet cherry indicates positive selection for favorable haplotypes

A genomic region of particular interest for sweet cherry (Prunus avium L.) breeding is a quantitative trait locus (QTL) “hotspot” on chromosome 2. QTLs for fruit size, firmness, sweetness, and flowering time are reported to map to this region. An understanding of genetic diversity, allele sources, linkage relationships, and historical recombinations is critical to enable the combining of favorable alleles at multiple loci. The objectives of this study were to characterize, visualize, and interpret the genetic structure of this previously identified QTL hotspot within North American sweet cherry breeding germplasm, using a pedigree-based haploblocking approach. Across the 29.4 cM (6.3 Mbp) region defined by single nucleotide polymorphism (SNP) information from the RosBREED cherry 6K SNP array v1, a total of 12 recombination events falling into six inter-marker regions were traced within the pedigree of elite and wild germplasm (n = 55). These recombinations defined five haploblocks containing 5–15 markers and exhibiting 7–11 haplotypes each. Over the entire QTL hotspot, 30 extended haplotypes were identified for which parental gametes could be determined. When the haploblocks and their haplotypes were used to explore genetic diversity, ancestry, and recombination patterns, and then integrated with previous QTL results for fruit size, the results indicated that favorable alleles at this QTL hotspot are under positive selection in breeding. The genetic framework provided by a haploblock approach and knowledge of haplotype-level diversity sets the stage for assigning breeding utility to these haplotypes.     

Estimation of genetic diversity in some Iranian wild Prunus subgenus Cerasus accessions using inter-simple sequence repeat (ISSR) markers

As Iran is one of the main origins of Prunus germplasm. In this study, ISSR markers were used for genetic diversity evaluation of 39 accessions of subgenus Cerasus belonging to six species i.e. Prunus avium L., Prunus cerasus L., Prunus mahaleb L., Prunus incana Pall., Prunus microcarpa Boiss., and Prunus brachypetala Boiss.. With 12 ISSR primers, 151 polymorphic bands were detected with polymorphism ratio range of 81.8%–100%. The lowest similarity (0.04) was found between P. avium and P. microcarpa genotypes and the mean of similarity between all genotypes was 0.28. Cluster analysis separated improved cultivars from wild accessions. Improved cherry cultivars and rootstocks were placed closer to the P. avium than the other species. The principal coordinate analysis (PCoA) supported the cluster analysis results. The wild accessions were separated according to their species and collection sites. ISSR markers are useful techniques for genetic diversity evaluation in Prunus subgenus Cerasus.     

Patterns of subspecies genetic diversity among oilseed <Emphasis Type="Italic">Brassica rapa</Emphasis> as revealed by agro-morphological traits and SSR markers

Brassica rapa (2n = 20, AA genome) is an important oil yielding species of the family Brassicaceae and characterized by wide range of genetic and morphological subtypes suitable for cultivation under diverse agro-climatic regions of India. In this study, genetic diversity among three subspecies of B. rapa including yellow sarson, toria and outlier brown sarson was estimated using various agro-morphological traits and simple sequence repeat (SSR) markers. Maximum variability was recorded for siliqua angle (Coefficient of variation = 30.9%), followed by seeds/siliqua (CV = 18.8%), leaf length (CV = 10%) and plant height (CV = 16.8%). Principal component analysis explained more than 50% of the total observed morphological variability for first two components. Of the 107 SSR markers tested, 80 generated reproducible, clear and distinct amplicons of which, 65 (81.25%) were found polymorphic. The number of alleles at each locus ranged from 2 to 7, with an average of 3.03 alleles per marker. A total of 197 alleles were detected at 65 SSR loci with average PIC value of 0.457 and a mean resolving power of 3.04. Neighbor-Joining cluster analysis based on morphological traits and SSR markers separately classified all the 28 genotypes into five major groups. The population structure analysis resulted into three sub-populations with certain extent of admixture among the earlier established taxonomic sub-groups. Twenty-three unique alleles were detected in thirteen B. rapa varieties. The clustering analysis and principal coordinate analysis outlined the genetic relationships among different varieties belonging to the three subspecies of B. rapa. Genetically diverse genotypes as illustrated by score plots and from the clustering patterns brought out the wide range of diversity present among B. rapa genotypes and the underlying options available for selecting parental genotypes for hybridization and developing high yielding cultivars suitable for Indian conditions.     

Mapping quantitative trait loci for important agronomic traits in finger millet (<Emphasis Type="Italic">Eleusine coracana</Emphasis>) mini core collection with genomic and genic SSR markers

Allele identification for agro-morphological traits and stress resistance is a major concern across the globe for improving productivity of finger millet. Here, we used 46 genomic and 58 genic simple sequence repeats (SSRs) markers in a set of 66 accessions used to constitute a global mini-core collection for analysing their genetic structure as a population and establishing association among markers and twenty morphological traits including resistance to finger blast. Phenotypic data revealed a wide range of variation for all traits except flag leaf width and flag leaf sheath width. We got amplification of 81 alleles by the 31 genomic SSRs at an average of 2.61 alleles per locus. Polymorphism information content (PIC) values varied from 0.21 to 0.75 and average gene diversity was 0.49. Structure analysis of the population using the genomic SSR data divided the accessions into two clusters where Indian and exotic accessions were grouped in separate clusters. Genic SSRs which were associated with blast resistance genes, amplified 36 alleles at an average of 2 alleles per locus. PIC values ranged from 0.32 to 0.37 and average gene diversity was 0.45. Population structure analysis using data from these SSRs grouped the accessions into three clusters, which broadly correspond to their reaction to blast disease. Twenty-two significant associations were found using the GLM approach for 20 agro-morphological traits both in 2012 and 2014, while, 7 and 5 significant marker-trait associations were identified using MLM in 2012 and 2014 respectively. The SSR markers FMBLEST35 and FMBLEST36 designed from the Pi21 gene sequence of rice were found to be associated with blast disease resistance in finger millet indicating that the gene homologues play a significant role in an important role for neck blast resistance.     

Morphological characterization of Prunus scoparia using multivariate analysis

In this research, morphological characterization of wild Prunus scoparia species, naturally growing in Iran, was investigated. Twenty-one variables along flowering and ripening date were recorded in 150 accessions of this species to detect their phenotypic variation. All studied characteristics were showing a high degree of variability, but it was highly pronounced for secondary shoot number, leaf area and shape, growth habit, fruit exocarp color, nut shape, pubescence on fruit, canopy size and trunk diameter. The majority of significant correlation coefficients were found in the characteristics representing tree and nut sizes with leaf size. Principal component analysis was performed for phenotypical diversity determination and grouping of species. Characters with high discriminating values were those related to tree height, growth habit, canopy size and kernel weight. Based on the UPGMA cluster analysis, accessions were placed in two main clusters. The first main cluster was divided into five subclusters with high variability within and between populations, while the second cluster contained 11 accessions of Estahban region. Current findings supported these opportunities since the phenotypic variability in Iranian wild P. scoparia species has been found to be very high, suggesting an extensive genetic diversity available to almond cultivar and rootstock development programs. The wide adaptation of this species indicates its potential as resources for resistance to abiotic and biotic stresses such as drought and spring frost. The conservation of the highly diverse native populations of Iranian wild P. scoparia species is recommended.     

Fruit size QTL analysis of an F<Subscript>1</Subscript> population derived from a cross between a domesticated sweet cherry cultivar and a wild forest sweet cherry

Maximizing fruit size is critical for profitable sweet cherry (Prunus avium L.) production. Yet, despite its importance, little is known about the genetic control of fruit size. The objective of this study was to identify quantitative trait loci (QTLs) for fruit size and two essential components of fruit size, mesocarp cell number and size. This study utilized a double pseudo-testcross population derived from reciprocal crosses between a sweet cherry cultivar with ~8 g fruit, “Emperor Francis” (EF), and a wild forest sweet cherry selection with ~2 g fruit, “New York 54” (NY). A total of 190 F₁ progeny previously utilized for the construction of the linkage maps were evaluated in 2006 and 2007 for fruit weight, length, and diameter; mesocarp cell number and length; and pit length and diameter. In 2008, a subset of this population was again evaluated for fruit weight. Correlation analysis revealed that the three fruit size traits were highly correlated with each other, and mesocarp cell number, not cell length, was correlated with fruit size. Three QTLs were identified for each fruit size trait, and one QTL was identified for mesocarp cell number. Fruit size QTLs were found on linkage group 2 on the EF map (EF 2) and linkage groups 2 and 6 on the NY map (NY 2 and NY 6). On EF 2, the cell number QTL clustered with the fruit size QTL, suggesting that the underlying basis of the fruit size increase associated with this QTL was an increase in mesocarp cell number. On NY 6, pit length and diameter QTLs clustered with those for fruit size, suggesting that the underlying morphological basis of this fruit size QTL is the difference in pit size.     

Simple Sequence Repeat and <Emphasis Type="Italic">S</Emphasis>-locus Genotyping to Explore Genetic Variability in Polyploid <Emphasis Type="Italic">Prunus spinosa</Emphasis> and <Emphasis Type="Italic">P. insititia</Emphasis>

Polyploid Prunus spinosa (2n = 4×) and P. insititia (2n = 6×) represent enormous genetic potential in Central Europe, which can be exploited in breeding programmes. In Hungary, 17 cultivar candidates were selected from wild-growing populations including 10 P. spinosa, 4 P. insititia and three P. spinosa × P. domestica hybrids (2n = 5×). Their taxonomic classification was based on their phenotypic characteristics. Six simple sequence repeats (SSRs) and the multiallelic S-locus genotyping were used to characterize genetic variability and reliable identification of the tested accessions. A total of 98 SSR alleles were identified, which presents 19.5 average allele number per locus, and each of the 17 genotypes could be discriminated based on unique SSR fingerprints. A total of 23 S-RNase alleles were identified. The complete and partial S-genotype was determined for 8 and 9 accessions, respectively. The identification of a cross-incompatible pair of cultivar candidates and several semi-compatible combinations help maximize fruit set in commercial orchards. Our results indicate that the S-allele pools of wild-growing P. spinosa and P. insititia are overlapping in Hungary. A phylogenetic and principal component analysis confirmed the high level of diversity and genetic differentiation present within the analysed genotypes and helped clarify doubtful taxonomic identities. Our data confirm that S-locus genotyping is suitable for diversity studies in polyploid Prunus species. The analysed accessions represent huge genetic potential that can be exploited in commercial cultivation.     

Oviposition by herbivorous insects induces changes in optical and mechanical properties of <Emphasis Type="Italic">Prunus avium</Emphasis> leaves

This study of animal–plant interaction focused on the impact of oviposition by an insect on the leaves of Prunus avium (cherries). We examined whether the oviposition by Caliroa cerasi affects leaf mechanical and spectral traits in P. avium. Three cultivars of P. avium were studied. Infested leaves had from 1 to 18 eggs and exhibited higher leaf dry mass per area (LMA) than leaves without eggs. Leaf dry weight and LMA were positively correlated with egg number per leaf. Infested leaves tended to have higher number of trichomes. Leaf thickness and material and structural resistance tended to increase in infested leaves. The reflectance across all wavelengths (500–700 nm) in leaves with larger number of eggs was higher compared to leaves without eggs. Photosynthetic performance was reduced and oxidative activity was increased in leaves with eggs. Extrafloral nectaries increased with increasing the number of eggs per leaf and thus play an important role in defense against herbivores by providing nectar rewards that attract their depredators. These responses to oviposition may be beneficial for the plants in terms of resistance to feeding larvae.     

Genetic Diversity,Genotype Discrimination,and Population Structure of Mexican <Emphasis Type="Italic">Opuntia</Emphasis> sp., Determined by SSR Markers

The Opuntia (prickly pear) genus, an important horticultural crop in Mexico, is essentially a fruit crop with two variants: sweet (“tunas”) or acid (“xoconostles”) fruits; it is also a source of vegetables “nopalitos” or fodder for livestock, among other uses. Its taxonomical classification has been reported as complex, although few studies on the genetic structure of Mexican Opuntia are available, and genetic differences between the two types of fruits are unknown. Opuntia genotype identification and classification are still mainly based on morphological characters. In this study, the genetic diversity of Mexican Opuntia germplasm with agronomic and economic importance was revealed, using 88 accessions and 13 SSR markers, in an attempt to explore the genetic relationships among them. A total of 159 alleles were detected ranging from 7 to 23 per locus with an average of 12.2. The SSR markers generated unique fingerprints for each Opuntia accession confirming their usefulness for genetic analysis. The accessions’ grouping was defined by several complementary clustering methods, and the moderate incongruences between the different methods did not influence the overall clustering. DAPC and STRUCTURE analyses grouped the accessions into five groups, thus confirming the incorrect delimitation of species in this genus. The following species had no clear boundaries: Opuntia ficus-indica, Opuntia albicarpa, Opuntia megacantha, Opuntia streptacantha, Opuntia lasiacantha, and Opuntia hyptiacantha. However, Opuntia robusta was separated from the rest of the species. Opuntia joconostle and Opuntia matudae, which produce acid fruits, tended to differ from the others. Median-joining simulation classified all genotypes into a complex network, and both linear and reticular ties between Mexican Opuntia genotypes were revealed. The genetic distance revealed in the present study shows the importance of Mexican accessions for conservation and use in breeding programs.     

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.     

Analysis of phenotypic and microsatellite-based diversity of maize landraces in India,especially from the North East Himalayan region

The maize landraces in the North East Himalayan (NEH) region in India, especially in the Sikkim state, are morphologically highly diverse. The present study provides details of phenotypic and molecular characterization of a set of 48 selected maize landrace accessions, including the ‘Sikkim Primitives’ which have a unique habit of prolificacy (5–9 ears on a single stalk). Multi-location phenotypic evaluation of these 48 accessions revealed significant genetic variability for grain yield and its components, leading to identification of several promising accessions. Cluster analysis and PCA using nine morpho-agronomic characters clearly separated ‘Sikkim Primitives’ from the rest of the accessions. PCA revealed two principal components describing 90% of the total variation, with hundred kernel weight, ear length, ear diameter, number of kernels per ear and flowering behaviour forming the most discriminatory traits. The accessions were genotyped using 42 microsatellite or simple sequence repeat (SSR) markers using a ‘population bulk DNA fingerprinting strategy’, with allele resolution using an automated DNA Sequencer. The study revealed a high mean number of alleles per SSR locus (13.0) and high Polymorphism Information Content (PIC) value of 0.60. The analysis also led to identification of 163 private/unique alleles, differentiating 44 out of 48 accessions. Six highly frequent SSR alleles were detected at different loci (phi014, phi062, phi090, umc1266, umc1367 and umc2250) with individual frequencies ≥0.75. Some of these SSR loci were reported to tag specific genes/QTL for some important traits, indicating that chromosomal regions harboring these SSR alleles were not selectively neutral. Cluster analysis using Rogers’ genetic distance also revealed distinct genetic identity of the ‘Sikkim Primitives’ from the rest of the accessions in India, including Sikkim. Mantel’s test revealed significant and positive correlation between the phenotypic and molecular genetic dissimilarity matrices. The study was the first to portray the patterns of phenotypic and molecular diversity in the maize landraces from the NEH region in India.     

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.     

Genetic relatedness among some wild cherry (<Emphasis Type="Italic">Prunus</Emphasis> subgenus <Emphasis Type="Italic">Cerasus</Emphasis>) genotypes native to Iran assayed by morphological traits and random amplified polymorphic DNA analysis

Subgenus Cerasus species are useful genetic resources for cherry breeding programs. A total of 17 morphological traits together with 19 random amplified polymorphic DNA (RAPD) primers were used to study 39 accessions including 34 wild Cerasus subgenus genotypes belonging to Prunus avium L., P. cerasus L., P. mahaleb L., P. microcarpa Boiss., P. incana Pall., and P. brachypetala Boiss. species, along with an unknown wild Cerasus sample, two advanced cherry cultivars (‘Lambert’ and ‘Bulgar’), and two rootstocks (‘Colt’ and ‘Gisela 6’). Genotypes were separated into different groups according to their species and collection sites using cluster analysis performed by Ward’s clustering method based on morphological data. Nineteen RAPD primers from 60 screened produced 304 polymorphic reproducible bands (98.15% polymorphism). According to the similarity matrix, the lowest similarity was obtained between P. avium and P. microcarpa samples. A dendrogram was prepared by the unweighted pair-group method with arithmetic average (UPGMA), and the accessions were separated according to their species and geographic origin. In both morphological and molecular results, the advanced cultivars and rootstocks were separated from wild genotypes, and the unknown genotype was grouped with P. mahaleb accessions. Grouping by morphological characteristics was compared with the results of RAPD analysis, with no significant correlations between morphological and molecular data being found. This is the first report of molecular (RAPD) genetic diversity study in wild Cerasus subgenus genotypes from Iran, and the results demonstrate the high potential of RAPD analysis for discrimination of Cerasus subgenus genotypes.