BackgroundDespite a high genetic similarity to peach, almonds (Prunus dulcis) have a fleshless fruit and edible kernel, produced as a crop for human consumption. While the release of peach genome v1.0 provides an excellent opportunity for almond genetic and genomic studies, well-assessed segregating populations and the respective saturated genetic linkage maps lay the foundation for such studies to be completed in almond.ResultsUsing an almond intraspecific cross between 'Nonpareil' and 'Lauranne' (N × L), we constructed a moderately saturated map with SSRs, SNPs, ISSRs and RAPDs. The N × L map covered 591.4 cM of the genome with 157 loci. The average marker distance of the map was 4.0 cM. The map displayed high synteny and colinearity with the Prunus T × E reference map in all eight linkage groups (G1-G8). The positions of 14 mapped gene-anchored SNPs corresponded approximately with the positions of homologous sequences in the peach genome v1.0. Analysis of Mendelian segregation ratios showed that 17.9% of markers had significantly skewed genotype ratios at the level of P < 0.05. Due to the large number of skewed markers in the linkage group 7, the potential existence of deleterious gene(s) was assessed in the group. Integrated maps produced by two different mapping methods using JoinMap® 3 were compared, and their high degree of similarity was evident despite the positional inconsistency of a few markers.ConclusionsWe presented a moderately saturated Australian almond map, which is highly syntenic and collinear with the Prunus reference map and peach genome V1.0. Therefore, the well-assessed almond population reported here can be used to investigate the traits of interest under Australian growing conditions, and provides more information on the almond genome for the international community.

Peach and almond have been considered as model species for the family Rosaceae and other woody plants. Consequently, mapping and characterisation of genes in these species has important implications. High-resolution melting (HRM) analysis is a recent development in the detection of SNPs and other markers, and proved to be an efficient and cost-effective approach. In this study, we aimed to map genes corresponding to known proteins in other species using the HRM approach. Prunus unigenes were searched and compared with known proteins in the public databases. We developed single-nucleotide polymorphism (SNP) markers, polymorphic in a mapping population produced from a cross between the cloned cultivars Nonpareil and Lauranne. A total of 12 SNP-anchored putative genes were genotyped in the population using HRM, and mapped to an existing linkage map. These genes were mapped on six linkage groups, and the predicted proteins were compared to putative orthologs in other species. Amongst those genes, four were abiotic stress-responsive genes, which can provide a starting point for construction of an abiotic resistance map. Two allergy and detoxification related genes, respectively, were also mapped and analysed. Most of the investigated genes had high similarities to sequences from closely related species such as apricot, apple and other eudicots, and these are putatively orthologous. In addition, it was shown that HRM can be an effective means of genotyping populations for the purpose of constructing a linkage map. Our work provides basic genomic information for the 12 genes, which can be used for further genetic and functional studies.

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Many studies have investigated the role of miRNAs on the yield of various plants, but so far, no report is available on the identification and role of miRNAs in fruit and seed development of almonds. In this study, preliminary analysis by high-throughput sequencing of short RNAs of kernels from the crosses between almond cultivars ‘Sefid’ × ‘Mamaee’ (with small and large kernels, respectively) and ‘Sefid’ × ‘P. orientalis’ (with small kernels) showed that the expressions of several miRNAs such as Pdu-miR395a-3p, Pdu-miR8123-5p, Pdu-miR482f, Pdu-miR6285, and Pdu-miR396a were significantly different. These miRNAs targeted genes encoding different proteins such as NYFB-3, SPX1, PGSIP3 (GUX2), GH3.9, and BEN1. The result of RT-qPCR revealed that the expression of these genes showed significant differences between the crosses and developmental stages of the seeds, suggesting that these genes might be involved in controlling kernel size because the presence of these miRNAs had a negative effect on their target genes. Pollen source can influence kernel size by affecting hormonal signaling and metabolic pathways through related miRNAs, a phenomenon known as xenia.

Nutrition of fruit trees during the growing season plays an important role in growth, fruitfulness and fruit quality. Given the increasing application of bio-stimulators as one of the most important approaches towards sustainable agriculture, some bio-stimulators were applied to elucidate their effects on vegetative characteristics and leaf mineral content of apricot trees cv. "Shekarpareh" in the spring of 2015 in Abarkuh, Yazd, Iran. The experiment was conducted based on a randomized complete blocks design with four replications on 8-years-old trees. Seven treatments of foliar applications, included control (spraying with water), Humic acid (0.1 or 0.2% v/v); Humiforte™ (0.05 or 0.1% v/v) and Aminol forte (0.3 or 0.6% v/v) that were applied twice including two weeks after full bloom and a month after the first spray. The results showed that bio-stimulators significantly affected current season's growth (branches length and diameter), leaves macro and micronutrients contents, except for potassium (P=0.003), while there was no significant effect on chlorophyll content. The highest branch length (115 cm) and the lowest branch diameter (9.71 cm) were obtained by the application of Aminol forte 0.3% v/v. The highest leaves content of N (2.46%) and P (0.14%) were achieved by applying Humiforte 0.1%, while the highest content of leaves micronutrients were observed following the application of Humic acid at 0.2% v/v. It appears that applying Aminol forte 0.3% and Humic acid 0.2% at two weeks after full bloom and one month following the first application could promote vegetative growth and mineral content of apricot trees.