Improvement of strawberry (Fragaria 3 ananassa) fruit flavor is an important goal in breeding programs. To investigate genetic factors controlling this complex trait, a strawberry mapping population derived from genotype '1392', selected for its superior flavor, and '232' was profiled for volatile compounds over 4 years by headspace solid phase microextraction coupled to gas chromatography and mass spectrometry. More than 300 volatile compounds were detected, of which 87 were identified by comparison of mass spectrum and retention time to those of pure standards. Parental line '1392' displayed higher volatile levels than '232', and these and many other compounds with similar levels in both parents segregated in the progeny. Cluster analysis grouped the volatiles into distinct chemically related families and revealed a complex metabolic network underlying volatile production in strawberry fruit. Quantitative trait loci (QTL) detection was carried out over 3 years based on a double pseudotestcross strategy. Seventy QTLs covering 48 different volatiles were detected, with several of them being stable over time and mapped as major QTLs. Loci controlling g-decalactone and mesifurane content were mapped as qualitative traits. Using a candidate gene approach we have assigned genes that are likely responsible for several of the QTLs. As a proof of concept we show that one homoeolog of the O-methyltransferase gene (FaOMT) is the locus responsible for the natural variation of mesifurane content. Sequence analysis identified 30 bp in the promoter of this FaOMT homoeolog containing putative binding sites for basic/helix-loop-helix, MYB, and BZIP transcription factors. This polymorphism fully cosegregates with both the presence of mesifurane and the high expression of FaOMT during ripening.

Breeding for fruit quality traits in strawberry (Fragaria × ananassa, 2n = 8x = 56) is complex due to the polygenic nature of these traits and the octoploid constitution of this species. In order to improve the efficiency of genotype selection, the identification of quantitative trait loci (QTL) and associated molecular markers will constitute a valuable tool for breeding programs. However, the implementation of these markers in breeding programs depends upon the complexity and stability of QTLs across different environments. In this work, the genetic control of 17 agronomical and fruit quality traits was investigated in strawberry using a F(1) population derived from an intraspecific cross between two contrasting selection lines, '232' and '1392'. QTL analyses were performed over three successive years based on the separate parental linkage maps and a pseudo-testcross strategy. The integrated strawberry genetic map consists of 338 molecular markers covering 37 linkage groups, thus exceeding the 28 chromosomes. 33 QTLs were identified for 14 of the 17 studied traits and approximately 37% of them were stable over time. For each trait, 1-5 QTLs were identified with individual effects ranging between 9.2 and 30.5% of the phenotypic variation, indicating that all analysed traits are complex and quantitatively inherited. Many QTLs controlling correlated traits were co-located in homoeology group V, indicating linkage or pleiotropic effects of loci. Candidate genes for several QTLs controlling yield, anthocyanins, firmness and L-ascorbic acid are proposed based on both their co-localization and predicted function. We also report conserved QTLs among strawberry and other Rosaceae based on their syntenic location.

Cultivated strawberry (Fragaria 9 ananassa) together with other economically important genera such as Rosa (roses) and Rubus (raspberry and blackberry) belongs to the subfamily Rosoideae. There is increasing interest in the development of transferable markers to allow genome comparisons within the Rosaceae family. In this report, 122 new genic microsatellite (SSR) markers have been developed from cultivated strawberry and its diploid ancestor Fragaria vesca. More than 77% of the sequences from which the markers were developed show significant homology to known or predicted proteins and more than 92% were polymorphic among strawberry cultivars, representing valuable markers in transcribed regions of the genome. Sixtythree SSRs were polymorphic in the diploid Fragaria reference population and were bin-mapped together with another five previously reported but unmapped markers. In total, 72 loci were distributed across the seven linkage groups. In addition, the transferability of 174 Fragaria SSRs to the related Rosa and Rubus genera was investigated, ranging from 28.7% for genic-SSRs in rose to 16.1% for genomic-SSRs in raspberry. Among these markers, 33 and 16 were both localized in the diploid Fragaria reference map and cross-amplified in rose and raspberry, respectively. These results indicate that transferability of SSRs across the Rosoideae subfamily is limited. However, we have identified a set of Fragaria markers, polymorphic in the diploid reference population, which cross-amplified in both Rosa and Rubus, which represents a valuable tool for comparative mapping and genetic diversity analyses within the Rosoideae subfamily.Keywords Comparative mapping Á Synteny Á Strawberry Á Rose Á Raspberry Á Rosoideae Electronic supplementary material The online version of this article