Patterns and heritability of carboxylic acids and soluble sugars in fruits of apricot (Prunus armeniaca L.)

The investigation of acid and sugar content in an array of apricot cultivars and progenies indicates the existence of marked variability. Citric acid varied from 0.17 to 1.20% and malic acid from 0.21 to 1.51% on fresh weight. Fructose varied from 0.27 to 1.60%, glucose from 0.90 to 3.13% and sucrose from 1.92 to 6.92%. The estimate of heritability was high for total and main sugars, reaching over 0.50%. Acids generally showed low coefficients, although those for citric (0.27) and malic (0.36) were good. With the exception of one progeny, all genotype/year comparisons were not significant, showing constant patterns for acid and sugars over the years regardless of the variability in absolute values. This means that the patterns of each genotype are under genetic control. The wide range of diversity in acid and sugar content in apricot germplasm and the independent heritability for most of these compounds make it possible to breed and select cultivars with improved flavour on the basis of superior phenotypes.     

Inheritance of resistance to plum pox potyvirus (PPV) in apricot, Prunus armeniaca

The results from the evaluation of apricot seedlings for resistance to the plum pox potyvirus (sharka) are presented. The susceptibility of 291 seedlings from 19 different crosses, most of them between resistant and susceptible cultivars, was determined. The results obtained seem to indicate that the resistance to plum pox potyvirus in apricot is controlled by a single gene, where resistance would be a dominant trait and the resistant parents used would be heterozygous for this trait. Since the resistance appeared to behave as a quantitative trait during the evaluation process, the hypothesis of a monogenic control is discussed.     

Identification and characterization of new S‐alleles associated with self‐incompatibility in almond

Almond is a highly heterozygous species with a high number of S‐alleles controlling its gametophytic self‐incompatibility system (GSI). In this work, we have analysed 14 Spanish local almond cultivars for S‐RNase allele diversity. Five new S‐RNase alleles were identified by cloning and sequencing, S₃₁ (804 bp) in ‘Pou de Felanitx’ and ‘Totsol’, S₃₂ (855 bp) in ‘Taiatona’, S₃₃ (1165 bp) in ‘Pou d’Establiments’ and ‘Muel’, S₃₄ (1663 bp) in ‘Pané‐Barquets’ and S₃₅ (1658 bp) in ‘Planeta de les Garrigues’. Additionally, seven already known almond alleles could be recognized in the local cultivars studied. The high number of new alleles identified reveals the wide diversity of almond germplasm still existing and requiring characterization, and points to the possibility of new findings by a wider study focusing on other provenances. The almond S‐RNases have been compared to those of other Prunus species, showing a high identity and confirming that the S‐RNase gene in this genus presents a probable common ancestor.     

Genotyping apricot cultivars for self-(in)compatibility by means of RNases associated with S alleles

In previous work the existence of proteins with RNase activity associated with S alleles in apricot was demonstrated. These proteins were inherited as described previously for the inheritance of self‐compatibility in this species. In this study, new cultivars have been genotyped for self‐compatibility using this method and it has been demonstrated that in all self‐compatible cultivars examined, the self‐compatibility allele is the same and is associated with an RNase with high activity. Homozygous self‐compatible individuals have been detected among established cultivars as well as among seedlings following breeding activity. This germplasm is of great value within the breeding programme because only self‐compatible seedlings will be produced. The number of S alleles in apricot appears to be low and only eight different alleles have been found in the large number of different cultivars screened. Furthermore, there are alleles present in the Spanish population that are also found in the genetic pool of North American cultivars. The screening of a progeny from the cross between the American cultivar ‘Goldrich’ and the Spanish cultivar ‘Pepito’ demonstrated the existence of the common allele S₂ (detected previously by examining RNases), which was confirmed by the segregation of self‐compatibility in the progeny.     

S‐locus diversity and cross‐compatibility of wild Prunus avium for timber breeding

Prunus avium is primarily cultivated for its fruit, sweet cherries. However, it is also used to produce high‐quality timber. In a P. avium seed orchard, gametophytic self‐incompatibility is a restriction for free pollen flow and should be considered when establishing basic forest materials. In this study, S‐locus diversity and cross‐incompatibility of wild cherry individuals in clonal banks established for breeding for timber production were investigated. Wild cherry trees (140) with outstanding forest growth habit, collected in northern Spain, grafted and planted in two clonal banks, were genotyped at the S‐locus. The self‐incompatibility S‐locus genes, S‐RNase and SFB, were analysed by PCR. Twenty‐two S‐haplotypes, resulting in 72 different S‐genotypes, were identified. The genotypes were grouped into 33 incompatibility groups and 39 unique genotypes. This initial S‐locus analysis revealed large genetic diversity of wild cherry trees from the Spanish northern deciduous forest, and provides useful information for seed orchard design. Wild P. avium displays significantly more genetic diversity than what is detected in local cultivars, revealing a narrowing of genetic diversity during local domestication.     

Analysis of S‐allele genetic diversity in Sicilian almond germplasm comparing different molecular methods

Italian almond germplasm is characterized by a wide diversity in several growing areas among which Sicily is one of the most important. Analysis with consensus and specific primers and DNA sequencing was performed to investigate S‐RNase genetic diversity and to elucidate the homology rate within a genetic pool of 27 Italian accessions. Interestingly, some of the self‐compatible cultivars did not show the presence of S_f allele. Amplicons from consensus and allele‐specific PCR primers revealed a high level of variability. Sequencing of all the S‐RNase amplicons derived from consensus primers allowed the identification of two new S‐RNase alleles (S₅₁ and S₅₂). Surprisingly, despite the AA replacement mutation, S₅₁ did not exhibit any change of its S‐RNase function. Additionally, several mutations, with no effect on amino acid composition, were detected in the intron and/or in the ORF of four known alleles (S_g, S₁₀, S₃₁ and S₃₅). Genetic variation, regarding point mutations and only detected by sequencing, was revealed among 11 of 27 tested cultivars. The new sources of variability might have an interest for product traceability.     

Validation of two models for self‐incompatibility in autotetraploid perennial ryegrass using high resolution melting‐based markers

Perennial ryegrass (Lolium perenne L.) displays a two‐locus gametophytic self‐incompatibility (SI) system that remains intact at the tetraploid level. Two models are plausible for SI in autotetraploids. In Model I: both alleles at the S locus and both at the Z locus in diploid pollen matching the female genotype results in incompatibility. In Model II: only one allele at S and one at Z locus in diploid pollen matching the female results in incompatibility. The goals were to determine which of the models best explains SI in our autotetraploid ryegrass population and to evaluate the efficiency of high‐resolution melting (HRM) genotyping for discriminating different iso‐allelic genotypes. The progeny of a cross between two autotetraploids was characterized with three HRM‐based markers co‐segregating with Z. Segregation ratios were used to make inferences about the mode of action of the SI system. The observed segregation differed significantly (P < 0.001) from the expected under Model I, but not from the expected under Model II (P = 0.463). Thus, Model II explains SI in this population, and HRM is an efficient tool to distinguish different iso‐allelic genotypic classes.