SUMMARY: Fresh berries are a popular and important component of the human diet. The demand for high‐quality berries and sustainable production methods is increasing globally, challenging breeders to develop modern berry cultivars that fulfill all desired characteristics. Since 1994, research projects have characterized genetic resources, developed modern tools for high‐throughput screening, and published data in publicly available repositories. However, the key findings of different disciplines are rarely linked together, and only a limited range of traits and genotypes has been investigated. The Horizon2020 project BreedingValue will address these challenges by studying a broader panel of strawberry, raspberry and blueberry genotypes in detail, in order to recover the lost genetic diversity that has limited the aroma and flavor intensity of recent cultivars. We will combine metabolic analysis with sensory panel tests and surveys to identify the key components of taste, flavor and aroma in berries across Europe, leading to a high‐resolution map of quality requirements for future berry cultivars. Traits linked to berry yields and the effect of environmental stress will be investigated using modern image analysis methods and modeling. We will also use genetic analysis to determine the genetic basis of complex traits for the development and optimization of modern breeding technologies, such as molecular marker arrays, genomic selection and genome‐wide association studies. Finally, the results, raw data and metadata will be made publicly available on the open platform Germinate in order to meet FAIR data principles and provide the basis for sustainable research in the future.

The circadian system optimizes cellular responses to stress, but the signaling pathways that convey the metabolic consequences of stress into this molecular timekeeping mechanism remain unclear. Redox regulation of the SAL1 phosphatase during abiotic stress initiates a signaling pathway from chloroplast to nucleus by regulating the accumulation of a metabolite, 3′-phosphoadenosine 5′-phosphate (PAP). Consequently, PAP accumulates in response to redox stress and inhibits the activity of exoribonucleases (XRNs) in the nucleus and cytosol. We demonstrated that osmotic stress induces a lengthening of circadian period and that genetically inducing the SAL1-PAP-XRN pathway in plants lacking either SAL1 or XRNs similarly delays the circadian system. Exogenous application of PAP was also sufficient to extend circadian period. Thus, SAL1-PAP-XRN signaling likely regulates circadian rhythms in response to redox stress. Our findings exemplify how two central processes in plants, molecular timekeeping and responses to abiotic stress, can be interlinked to regulate gene expression.

The objective of our study was the alignment of microsatellite or simple sequence repeat (SSR) marker data across germplasm collections of cherry within Europe. Through the European Cooperative program for Plant Genetic Resources ECPGR, a number of European germplasm collections had previously been analysed using standard sets of SSR loci. However, until now these datasets remained unaligned. We used a combination of standard reference genotypes and ad-hoc selections to compile a central dataset representing as many alleles as possible from national datasets produced in France, Great Britain, Germany, Italy, Sweden and Switzerland. Through the comparison of alleles called in data from replicated samples we were able to create a series of alignment factors, supported across 448 different allele calls, that allowed us to align a dataset of 2241 SSR profiles from six countries. The proportion of allele comparisons that were either in agreement with the alignment factor or confounded by null alleles ranged from 67% to 100% and this was further improved by the inclusion of a series of allele-specific adjustments. The aligned dataset allowed us to identify groups of previously unknown matching accessions and to identify and resolve a number of errors in the prior datasets. The combined and aligned dataset represents a significant step forward in the co-ordinated management of field collections of cherry in Europe.