Development of a Gene-Centered SSR Atlas as a Resource for Papaya (Carica papaya) Marker-Assisted Selection and Population Genetic Studies

Carica papaya (papaya) is an economically important tropical fruit. Molecular marker-assisted selection is an inexpensive and reliable tool that has been widely used to improve fruit quality traits and resistance against diseases. In the present study we report the development and validation of an atlas of papaya simple sequence repeat (SSR) markers. We integrated gene predictions and functional annotations to provide a gene-centered perspective for marker-assisted selection studies. Our atlas comprises 160,318 SSRs, from which 21,231 were located in genic regions (i.e. inside exons, exon-intron junctions or introns). A total of 116,453 (72.6%) of all identified repeats were successfully mapped to one of the nine papaya linkage groups. Primer pairs were designed for markers from 9,594 genes (34.5% of the papaya gene complement). Using papaya-tomato orthology assessments, we assembled a list of 300 genes (comprising 785 SSRs) potentially involved in fruit ripening. We validated our atlas by screening 73 SSR markers (including 25 fruit ripening genes), achieving 100% amplification rate and uncovering 26% polymorphism rate between the parental genotypes (Sekati and JS12). The SSR atlas presented here is the first comprehensive gene-centered collection of annotated and genome positioned papaya SSRs. These features combined with thousands of high-quality primer pairs make the atlas an important resource for the papaya research community.     

Genetic diversity, linkage disequilibrium, and association mapping analyses of peach (Prunus persica) landraces in China

The genetic diversity, population structure, and linkage disequilibrium (LD) of peaches are greatly important in genome-wide association mapping. In the current study, 104 peach landrace accessions from six Chinese geographical regions were evaluated for fruit and phenological period. The accessions were genotyped with 53 genome-wide simple sequence repeat (SSR) markers. All SSR markers were highly polymorphic across the accessions, and a total of 340 alleles were detected, including 59 private alleles. Of the six regions studied, the northern part of China as well as the middle and lower reaches of the Changjiang River were found to be the most highly diverse genetically. Based on population structure analysis, the peaches were divided into five groups, which well agreed with the geographical distribution. Of the SSR pairs in these accessions, 18.07% (P?<?0.05) were in LD. The mean r ² value for all intrachromosomal loci pairs was 0.0149, and LD decayed at 6.01?cM. The general linear model was used to calculate the genome-wide marker-trait associations of 10 complex traits. The traits include flesh color around the stone, red pigment in the flesh, flesh texture, flesh adhesion, flesh firmness, fruit weight, chilling requirement, flowering time, ripening time, and fruit development period. These traits were estimated by analyzing the 104 landraces. Many of the associated markers were located in regions where quantitative trait loci (QTLs) were previously identified. Peach association mapping is an effective approach for identifying QTLs and may be an alternative to QTL mapping based on crosses between different lines.     

Effect prediction of identified SNPs linked to fruit quality and chilling injury in peach [<Emphasis Type="Italic">Prunus persica</Emphasis> (L.) Batsch]

Single nucleotide polymorphisms (SNPs) are a fundamental source of genomic variation. Large SNP panels have been developed for Prunus species. Fruit quality traits are essential peach breeding program objectives since they determine consumer acceptance, fruit consumption, industry trends and cultivar adoption. For many cultivars, these traits are negatively impacted by cold storage, used to extend fruit market life. The major symptoms of chilling injury are lack of flavor, off flavor, mealiness, flesh browning, and flesh bleeding. A set of 1,109 SNPs was mapped previously and 67 were linked with these complex traits. The prediction of the effects associated with these SNPs on downstream products from the ‘peach v1.0’ genome sequence was carried out. A total of 2,163 effects were detected, 282 effects (non-synonymous, synonymous or stop codon gained) were located in exonic regions (13.04 %) and 294 placed in intronic regions (13.59 %). An extended list of genes and proteins that could be related to these traits was developed. Two SNP markers that explain a high percentage of the observed phenotypic variance, UCD_SNP_1084 and UCD_SNP_46, are associated with zinc finger (C3HC4-type RING finger) family protein and AOX1A (alternative oxidase 1a) protein groups, respectively. In addition, phenotypic variation suggests that the observed polymorphism for SNP UCD_SNP_1084 [A/G] mutation could be a candidate quantitative trait nucleotide affecting quantitative trait loci for mealiness. The interaction and expression of affected proteins could explain the variation observed in each individual and facilitate understanding of gene regulatory networks for fruit quality traits in peach.     

A set of EST‐SSRs isolated from peach fruit transcriptome and their transportability across Prunus species

Twenty‐one expressed sequence tag–simple sequence repeat (EST–SSR) markers were developed in peach from a mesocarp cDNA library. Eighteen of them gave successful amplification in 22 peach genotypes and produced one to three alleles each with an average of 1.8 alleles per locus. The average value of expected and observed heterozygosities was 0.24 and 0.20, respectively. All the primers gave successful amplification in other six Prunus species (almond, apricot, sweet cherry, Japanese plum, European plum and Prunus ferganensis).     

Flanking the major Plum pox virus resistance locus in apricot with co-dominant markers (SSRs) derived from candidate resistance genes

Plum pox virus (PPV) is a potyvirus that causes sharka disease in infested stone fruit trees (Prunus species, peach, apricot, plum). In apricots, the resistance is controlled by a major quantitative trait locus that explains up to 70% of the phenotypic variance; it is localised in the upper part of linkage group 1. In this report, we transformed candidate genes that mapped in the region of the apricot resistance locus into polymerase chain reaction markers (SSCP and SSR) and tested for their co-localisation with the major PPV resistance locus in related and unrelated populations. Three populations of F1 and F2 individuals issued from crosses between the PPV-resistant cultivar ‘Stark Early Orange’ or ‘Goldrich’ and three susceptible parents were used in this study. Molecular-marker data were collected to determine the linkage relationship between the PPV resistance locus in apricots and markers that target candidate disease-resistance genes. In addition, SSR markers linked to resistance-gene candidates were mapped to positions flanking the PPV resistance locus in different apricot populations. Therefore, we demonstrate that this strategy helps to saturate the major genomic region controlling resistance to PPV in apricot with valuable co-dominant markers. O. Sicard and G. Marandel have contributed equally to this work.     

New set of microsatellite loci isolated in apricot

We report 99 simple sequence repeats (SSRs) newly isolated from an apricot (Prunus armeniaca L.) genomic library enriched for AG/CT repeats. Twenty SSRs were screened for their polymorphism in 16 apricot cultivars. The number of alleles ranged from two to nine, whereas the expected heterozygosity (H_E) ranged from 0.26 to 0.82. The same SSRs showed also an appreciable transportability across different Prunus species, such as peach, nectarine, almond, European plum, Japanese plum, sweet cherry and sour cherry, with 20% of primers giving successful amplifications in all Prunus species assayed. None gave amplification in apple.     

Inheritance of reproductive phenology traits and related QTL identification in apricot

Reproductive phenological traits of great agronomical interest in apricot species, including flowering date, ripening date and fruit development period, were studied during 3 years in two F₁ progenies derived from the crosses ‘Bergeron’ × ‘Currot’ (B × C) and ‘Goldrich’ × ‘Currot’ (G × C). Results showed great variability and segregation in each population, confirming the polygenic nature and quantitative inheritance of all the studied traits. Genetic linkage maps were constructed combining SSR and SNP markers, using 87 markers in the ‘B × C’ population and 89 markers in ‘G × C’. The genetic linkage maps in both progenies show the eight linkage groups (LGs) of apricot, covering a distance of 394.9 cM in ‘Bergeron’ and of 414.3 cM in ‘Currot’. The ‘Goldrich’ and ‘Currot’ maps were of 353.5 and 422.3 cM, respectively. The average distance obtained between markers was thus 7.59 cM in ‘Bergeron’ and 7.53 cM in ‘Currot’, whereas the ‘Goldrich’ and ‘Currot’ averages were 5.6 and 7.5 cM, respectively. According to the polygenic nature of the studied phenology traits, QTLs linked to flowering date, ripening date and the fruit development period were identified during the 3 years of the study in all LGs except for LG 8. Among the QTLs identified, major QTLs for flowering and ripening date and the fruit development period were identified in LG 4, especially important in the ‘G × C’ population.     

Genetic diversity in peach [Prunus persica (L.) Batsch] at the University of Florida: past,present and future

The University of Florida (UF) stone fruit breeding and genetics program was created in 1952 to develop early ripening stone fruit cultivars with high quality, adaptation to summer rainfall, low chilling requirements, and the ability to withstand high disease pressure. Diverse germplasm sources were used to introduce desirable traits in UF breeding pool. The main objective of this research was to determine the genetic diversity and population structure of the breeding germplasm, and to search for loci under selection. A total of 195 peach genotypes were used: UF cultivars and advanced selections (n?=?168), cultivars and selections from the UF-UGA-USDA joint breeding effort (n?=?13), landrace cultivars (n?=?4), high-chilling cultivars released by NCSU (n?=?5), and related Prunus (n?=?5) species. A total of 36 SSR markers distributed across the peach genome amplified 423 alleles. An average of 18 genotypes were detected per marker: A (number of observed alleles) of 11.43, Ae (effective number of alleles) of 2.58, Ho (observed heterozygosity) of 0.4, He (expected heterozygosity) of 0.52, F (Wright’s fixation index) of 0.25, and PIC (polymorphism information content) of 0.48. UPGMA cluster analysis based on Nei’s genetic distance represented best the known pedigree information for the germplasm pools. Two major groups were observed across the germplasm corresponding to melting and non-melting flesh cultivars/selections. Population structure results supported these two major groups. Several loci closely located to genome regions where different phenotypic traits have been previously mapped were detected to be under selection.     

Identification of simple sequence repeat markers tightly linked to plum pox virus resistance in apricot

Sharka disease, caused by the plum pox virus (PPV), is one of the major limiting factors for stone fruit production in Europe and America. Attempts to stop the disease through the eradication of infected trees have been unsuccessful. Introgression of PPV resistance for crop improvement is therefore the most important goal in Prunus breeding programs. Due to time- and labour-consuming protocols, phenotyping for sharka is still the major bottleneck in the breeding pipeline. In this context, screening of seedlings at early stages of development and marker-assisted selection (MAS) provide the best solution for enhancing breeding efficiency. In this study, we generated 42 simple sequence repeat (SSR) markers from the peach genome assembly v1.0 and an apricot bacterial artificial chromosome clone identified in the physical map of the PPV resistance locus previously defined in apricot. Using a linkage mapping approach, we found SSR markers tightly linked to PPV resistance trait in all our progenies. Three SSR markers, PGS1.21 PGS1.23 and PGS1.24, showed allelic variants associated with PPV resistance with no recombinants in the crosses analysed. These markers unambiguously discriminated resistant from susceptible accessions in different genetic backgrounds. The results presented here are the first successful application of their use in MAS for breeding resistance in Prunus species.     

Analysis of simple sequence repeats (SSRs) in wild barley from the Fertile Crescent: associations with ecology,geography and flowering time

Wild barley, Hordeum spontaneum C. Koch, is the progenitor of cultivated barley, Hordeum vulgare. The centre of diversity is in the Fertile Crescent of the Near East, where wild barley grows in a wide range of conditions (temperature, water availability, day length, etc.). The genetic diversity of 39 wild barley genotypes collected from Israel, Turkey and Iran was studied with 33 SSRs of known map location. Analysis of molecular variance (AMOVA) was performed to partition the genetic variation present within from the variation between the three countries of origin. Using classification tree analysis, two (or three) specific SSRs were identified which could correctly classify most of the wild barley genotypes according to country of origin. Associations of SSR variation with flowering time and adaptation to site-of-origin ecology and geography were investigated by two contrasting statistical approaches, linear regression based on SSR length variation and linear regression based on SSR allele class differences. A number of SSRs were significantly associated with flowering time under four different growing regimes (short days, long days, unvernalised and vernalised). Most of the associations observed could be accounted for by close linkage of the SSR loci to earliness per se genes. No associations were found with photoperiodic and vernalisation response genes known to control flowering in cultivated barley suggesting that different genetic factors may be active in wild barley. Novel genomic regions controlling flowering time in wild barley were detected on chromosomes 1HS, 2HL, 3HS and 4HS. Associations of SSRs with site-of-origin ecological and geographic data were found primarily in genomic regions determining plant development. This study shows that the analyses of SSR variation by allele class and repeat length are complementary, and that some SSRs are not necessarily selectively neutral.     

Transmission of Fruit Quality Traits in Apricot (Prunus armeniaca L.) and Analysis of Linked Quantitative Trait Loci (QTLs) Using Simple Sequence Repeat (SSR) Markers

Twelve important pomological traits related to fruit quality were studied during 3 years in an F₁ apricot progeny of 160 seedlings derived from a cross between the Spanish selection ‘Z701-1’ and the South African cultivar ‘Palsteyn’. Results indicated quantitative transmission of most of the fruit quality traits studied. In addition, a clear influence of the genetic background of parents was observed. In some seedlings, values outside the range of the parent were observed due to the influence of this genetic background. No correlations were found among most agronomic traits in apricot during the 3 years of the study. However, high correlations between years were described for most of the evaluated traits, and the environment had limited influence on the expression of the trait. A genetic map was developed using 41 apricot and peach SSR markers. The map obtained showed eight linkage groups (corresponding to the eight chromosomes) covering a total distance of 369.3 cM and an average distance between markers of 9 cM. Fifty-four QTLs associated with different traits were identified, including: blooming date (linkage groups G1, G4 and G7); ripening time (G4 and G6); fruit development (G4 and G6); fruit weight (G1 and G4); stone weight (G1 and G7); flesh color (G1 and G6); pH (G1, G2 and G4); malic acid (G1, G2 and G4); and soluble solids content (G4 and G5). We have highlighted several QTLs in G4 that explain the variability in various traits related to fruit quality such as blooming date, ripening time, and soluble solids content. In addition, we have also highlighted an important QTL on G2 that explains much of the variation in levels of acidity.     

An apricot (Prunus armeniaca L.) F2 progeny linkage map based on SSR and AFLP markers,mapping plum pox virus resistance and self-incompatibility traits

A genetic linkage map of apricot ( Prunus armeniaca L.) was constructed using AFLP and SSR markers. The map is based on an F(2) population (76 individuals) derived from self-pollination of an F(1) individual ('Lito') originated from a cross between 'Stark Early Orange' and 'Tyrinthos'. This family, designated as 'Lito' x 'Lito', segregated for two important agronomical traits: plum pox virus resistance (PPV) and self-incompatibility. A total of 211 markers (180 AFLPs, 29 SSRs and two agronomic traits) were assigned to 11 linkage groups covering 602 cM of the apricot genome. The average distance (cM/marker) between adjacent markers is 3.84 cM. The PPV resistance trait was mapped on linkage group G1 and the self-incompatibility trait was mapped on linkage group G6. Twenty two loci held in common with other Prunus maps allowed us to compare and establish homologies among the respective linkage groups.     

A genetic linkage map for an apricot (<Emphasis Type="Italic">Prunus armeniaca</Emphasis> L.) BC<Subscript>1</Subscript> population mapping <Emphasis Type="Italic">plum pox virus</Emphasis> resistance

Plum pox virus (sharka; PPV) can cause severe crop loss in economically important Prunus species such as peach, plum, apricot, and cherry. Of these species, certain apricot cultivars (‘Stark Early Orange’, ‘Goldrich’, ‘Harlayne’) display significant levels of resistance to the disease and are the genetic substrate for studies of several xlaboratories working cooperatively to genetically characterize and mark the resistance locus or loci for marker-assisted breeding. The goals of the work presented in this communication are the characterization of the genetics of PPV resistance in ‘Stark Early Orange’ and the development of co-dominant molecular markers for marker-assisted selection (MAS) in PPV resistance breeding. We present the first genetic linkage map for an apricot backcross population of ‘Stark Early Orange’ and the susceptible cultivar ‘Vestar’ that segregates for resistance to PPV. This map is comprised of 357 loci (330 amplified fragment length polymorphisms (AFLPs), 26 simple sequence repeats (SSRs), and 1 morphological marker for PPV resistance) assigned to eight linkage groups. Twenty-two of the mapped SSRs are shared in common with genetic reference map for Prunus (T × E; Joobeur et al. 1998) and anchor our apricot map to the general Prunus map. A PPV resistance locus was mapped in linkage group 1 and four AFLP markers segregating with the PPV resistance trait, identified through bulk segregant analysis, facilitated the development of SSRs in this region. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users. Lalli, D.A. and Salava, J. contributed equally to this work.     

Development of a new SSR-based linkage map in apricot and analysis of synteny with existing Prunus maps

Linkage maps of the apricot accessions ‘Lito’ and ‘BO 81604311’ were constructed using a total of 185 simple sequence repeat (SSR) markers sampled from those isolated in peach, almond, apricot and cherry; 74 were derived from a new apricot genomic library enriched for AG/CT microsatellite repeats (UDAp series), and in total, 98 had never been mapped in Prunus before. Eight linkage groups putatively corresponding to the eight haploid apricot chromosomes were identified for each parent. The two maps were 504 and 620 cM long, respectively, with 96 anchor markers showing a complete co-linearity between the two genomes. As few as three gaps larger than 15 cM were present in ‘Lito’ and six in the male parent; the maps align well with all the available SSR-based Prunus maps through the many common anchor loci. Only occasionally inverted positions between adjacent markers were found, and this can be explained by the small size of cross populations analysed in these Prunus maps and in those reported in literature. The newly developed apricot SSRs will help saturating the existing Prunus maps and will extend the choice of markers in the development of genetic maps for new breeding populations.     

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.     

Development and Application of Microsatellites in Candidate Genes Related to Wood Properties in the Chinese White Poplar (Populus tomentosa Carr.)

Gene-derived simple sequence repeats (genic SSRs), also known as functional markers, are often preferred over random genomic markers because they represent variation in gene coding and/or regulatory regions. We characterized 544 genic SSR loci derived from 138 candidate genes involved in wood formation, distributed throughout the genome of Populus tomentosa, a key ecological and cultivated wood production species. Of these SSRs, three-quarters were located in the promoter or intron regions, and dinucleotide (59.7%) and trinucleotide repeat motifs (26.5%) predominated. By screening 15 wild P. tomentosa ecotypes, we identified 188 polymorphic genic SSRs with 861 alleles, 2–7 alleles for each marker. Transferability analysis of 30 random genic SSRs, testing whether these SSRs work in 26 genotypes of five genus Populus sections (outgroup, Salix matsudana), showed that 72% of the SSRs could be amplified in Turanga and 100% could be amplified in Leuce. Based on genotyping of these 26 genotypes, a neighbour-joining analysis showed the expected six phylogenetic groupings. In silico analysis of SSR variation in 220 sequences that are homologous between P. tomentosa and Populus trichocarpa suggested that genic SSR variations between relatives were predominantly affected by repeat motif variations or flanking sequence mutations. Inheritance tests and single-marker associations demonstrated the power of genic SSRs in family-based linkage mapping and candidate gene-based association studies, as well as marker-assisted selection and comparative genomic studies of P. tomentosa and related species.     

Molecular characterization and similarity relationships among apricot ( Prunus armeniaca L.) genotypes using simple sequence repeats

A collection of 48 apricot genotypes, originated from diverse geographic areas, have been screened with 37 SSR primer pairs developed in different species of Prunus in order to identify and characterize the genotypes and establish their genetic relations. Thirty one of those primer pairs resulted in correct amplifications and 20 produced polymorphic repeatable amplification patterns with the 48 genotypes studied. A total of 82 alleles were detected for the 20 loci. All the genotypes studied could be unequivocally distinguished with the combination of SSRs used. The results obtained evidence for the cross-species transportability of microsatellite sequences, allowing the discrimination among different genotypes of a given fruit-tree species with sequences developed in other species. UPGMA cluster analysis of the similarity data grouped the genotypes studied according to their geographic origin and/or their pedigree information. Received: 5 April 2001 / Accepted: 4 May 2001     

Distribution and localization of microsatellites in the Perigord black truffle genome and identification of new molecular markers

The level of genetic diversity and genetic structure in the Perigord black truffle (Tuber melanosporum Vittad.) has been debated for several years, mainly due to the lack of appropriate genetic markers. Microsatellites or simple sequence repeats (SSRs) are important for the genome organisation, phenotypic diversity and are one of the most popular molecular markers. In this study, we surveyed the T. melanosporum genome (1) to characterise its SSR pattern; (2) to compare it with SSR patterns found in 48 other fungal and three oomycetes genomes and (3) to identify new polymorphic SSR markers for population genetics. The T. melanosporum genome is rich in SSRs with 22,425 SSRs with mono-nucleotides being the most frequent motifs. SSRs were found in all genomic regions although they are more frequent in non-coding regions (introns and intergenic regions). Sixty out of 135 PCR-amplified mono-, di-, tri-, tetra, penta, and hexa-nucleotides were polymorphic (44%) within black truffle populations and 27 were randomly selected and analysed on 139 T. melanosporum isolates from France, Italy and Spain. The number of alleles varied from 2 to 18 and the expected heterozygosity from 0.124 to 0.815. One hundred and thirty-two different multilocus genotypes out of the 139 T. melanosporum isolates were identified and the genotypic diversity was high (0.999). Polymorphic SSRs were found in UTR regulatory regions of fruiting bodies and ectomycorrhiza regulated genes, suggesting that they may play a role in phenotypic variation. In conclusion, SSRs developed in this study were highly polymorphic and our results showed that T. melanosporum is a species with an important genetic diversity, which is in agreement with its recently uncovered heterothallic mating system.     

Comparison of the genetic determinism of two key phenological traits,flowering and maturity dates,in three Prunus species: peach,apricot and sweet cherry

The present study investigates the genetic determinism of flowering and maturity dates, two traits highly affected by global climate change. Flowering and maturity dates were evaluated on five progenies from three Prunus species, peach, apricot and sweet cherry, during 3–8 years. Quantitative trait locus (QTL) detection was performed separately for each year and also by integrating data from all years together. High heritability estimates were obtained for flowering and maturity dates. Several QTLs for flowering and maturity dates were highly stable, detected each year of evaluation, suggesting that they were not affected by climatic variations. For flowering date, major QTLs were detected on linkage groups (LG) 4 for apricot and sweet cherry and on LG6 for peach. QTLs were identified on LG2, LG3, LG4 and LG7 for the three species. For maturity date, a major QTL was detected on LG4 in the three species. Using the peach genome sequence data, candidate genes underlying the major QTLs on LG4 and LG6 were investigated and key genes were identified. Our results provide a basis for the identification of genes involved in flowering and maturity dates that could be used to develop cultivar ideotypes adapted to future climatic conditions.