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Soler, S.

Publications and source records attributed to Soler, S..

5 recordsLinked to original sources

Mechanical stress-induced release of mitochondrial double-stranded RNA activates RIG-I to drive osteogenic differentiation in aortic disease

Background: Gain-of-function mutations in RIG-I and MDA5 (RIG-I-like receptors, RLR) cause Singleton-Merten syndrome, an interferonopathy with early aortic calcification. Here we set out to study a possible involvement of RIG-I-like receptor signaling in the formation of aortic valve stenosis in general. Methods and results: We investigated whether mechanical stress-induced RLR activation promotes osteogenic differentiation and calcification of primary human aortic cells, whether such RLR activation drives the development of aortic valve stenosis in vivo, and whether inhibition of downstream JAK/STAT activation ameliorates aortic valve stenosis. We found that activation of primary human aortic interstitial cells by exogenous RIG-I- and MDA5 agonists induced a type I interferon response and an osteogenic program including increased expression of BMP-2 and BSP2, and promoted calcification. These effects were RIG-I/MDA5 or MAVS-dependent, as assessed by CRISPR/Cas9 knockouts. The stress-granule protein G3BP1 and the Wnt receptor FZD5 were induced downstream of RLR activation and were required for osteogenic gene expression and calcification. To assess a potential endogenous source of RIG-I activation, mechanical stretch mimicking valvular tissue stress was applied in cell cuture, which induced a significant RIG-I-dependent interferon response. Sequencing of highly purified preparations of double-stranded RNA from stretched cells demonstrated a predominant mitochondrial origin of double-stranded RNA, and depleting mitochondrial RNA abolished the stretch-dependent response. The JAK/STAT inhibitor ruxolitinib suppressed the RIG-I-induced response including the expression of osteogenic factors in vitro. In a murine wire-injury model of aortic stenosis, MAVS deficiency attenuated valvular morphological changes and improved hemodynamic parameters. Ruxolitinib attenuated hemodynamic progression, prevented aortic stenosis development, and improved survival. Conclusions: Altogether, our results demonstrate that the mechanical-stress-induced release of mitochondrial double-stranded RNA activates RIG-I signaling in aortic interstitial cells, thereby driving osteogenic differentiation and calcification via a MAVS- and G3BP1-dependent pathway. JAK/STAT inhibition with ruxolitinib mitigates this process in a mouse model of aortic valve stenosis, identifying a candidate therapeutic strategy.

cell biology↗

Resequencing and phenotyping of the first highly inbred eggplant multiparent population reveal SmLBD13 as a key gene associated with root morphology

The MEGGIC (Magic EGGplant InCanum) population here presented is the first highly inbred eggplant (Solanum melongena) multiparent advanced generation intercross (MAGIC) population developed so far, derived from seven cultivated accessions and one wild S. incanum from arid regions. The final 325 S5 lines were high-throughput genotyped using low-coverage whole-genome sequencing (lcWGS) at 3X, yielding 293,783 high-quality SNPs after stringent filtering. Principal component analysis (PCA) and neighbour-joining clustering revealed extensive genetic diversity, lack of genetic structure, and the distinct genetic profile of the wild founder. The eight founders and a core subset of 212 lines were phenotyped for above- and below-ground traits, revealing wide phenotypic diversity. Root morphology traits displayed moderate heritability values, and strong correlation were found between root and aerial traits, suggesting that a well-developed root system supports greater above-ground growth. Genome-wide association studies (GWAS) identified a genomic region on chromosome 6 associated with root biomass (RB), total root length (RL), and root surface area (SA). Within this region, SmLBD13, a LOB-domain protein involved in lateral root development, was identified as a candidate gene. The S. incanum haplotype in this region was linked to reduced lateral root branching density, a trait that may enhance deeper soil exploration and resource uptake. These findings provide key insights into root genetics in eggplant, demonstrating MEGGIC potential for high-resolution trait mapping. Furthermore, they highlight the role of exotic wild germplasm in breeding more resilient cultivars and rootstocks with improved root architecture and enhanced nutrient uptake efficiency.

genomics↗

New QTLs involved in the control of stigma position in tomato

The tomato mating system was strongly affected by domestication events. Mutations disrupting self-incompatibility paralleled by changes retracting the stigma position (SP) within the staminal cone conferred strict autogamy and self-fertility to the cultivated forms. Although major genes affecting these changes have been identified, SP control in domesticated forms retaining a non-inserted or a heat-inducible SP needs elucidation. To widen the possibility of identifying SP genetic determinants, we analysed the trait in four populations (two germplasm collections, a multiparental recombinant inbred and a biparental progeny) under different environmental conditions (normal and heat stressed). Overall, 36 markers significantly associated with the trait were discovered. Several co-localizations were found, both among regions firstly reported in this work and among them and previously reported positions. This supported the reliability of the analysis. Three of such regions, in the long arms of chromosome 1, 8 and 11, were validated in an independent segregating population and candidate genes in confidence intervals were identified among transcription factors and hormone, stress and cell-wall-related genes. In conclusion, the work supported the hypothesis that the SP phenotype is controlled by different key-genes in tomato, paving the way to identifying novel players and novel mechanisms involved in the regulation of herkogamy. HighlightThe study of three germplasm collections in tomato allowed the identification new significant markers for the stigma position trait while confirmed several previously reported QTLs.

plant biology↗

RIG-I activation primes and trains innate antiviral immune memory

Adaptive processes of the innate immune system, known as trained immunity (TI), are critical to human health and disease, yet they have not been systematically investigated downstream of antiviral sensing. Here, we elucidate the potential of the antiviral cytosolic RNA receptor retinoic acid-inducible gene I (RIG-I) to train, prime and tolerize the innate immune system. Using a specific RIG-I agonist, we observed that repetitive stimulation enhanced interferon-stimulated gene (ISG) and pro-inflammatory cytokine induction in human primary monocytes, epithelial cells and fibroblasts and afforded non-specific antiviral protection. RNA sequencing revealed broad, cell type-specific transcriptional changes, indicative of priming of ISGs and training of the NF{kappa}B pathway, without measurable tolerization, while ATAC sequencing in monocytes demonstrated chromatin remodeling and enhanced accessibility of key transcription factor-binding motifs such as STAT1. Moreover, while STAT1 signaling was critically required, it was not sufficient to recapitulate RIG-I induced TI. Altogether, our data demonstrate that RIG-I-mediated TI promotes an immunologically alert state with important implications for host defense and the application of RIG-I ligands in anti-infective and anti-tumoral therapies. One Sentence SummaryRIG-I activation trains and primes innate immune response at the cellular level, affording non-specific immune protection by immune and non-immune cells.

immunology↗

Computer generation of fruit shapes from DNA sequence

The generation of realistic plant and animal images from marker information could be a main contribution of artificial intelligence to genetics and breeding. Since morphological traits are highly variable and highly heritable, this must be possible. However, a suitable algorithm has not been proposed yet. This paper is a proof of concept demonstrating the feasibility of this proposal using decoders, a class of deep learning architecture. We apply it to Cucurbitaceae, perhaps the family harboring the largest variability in fruit shape in the plant kingdom, and to tomato, a species with high morphological diversity also. We generate Cucurbitaceae shapes assuming a hypothetical, but plausible, evolutive path along observed fruit shapes of C. melo. In tomato, we used 353 images from 129 crosses between 25 maternal and 7 paternal lines for which genotype data were available. In both instances, a simple decoder was able to recover expected shapes with large accuracy. For the tomato pedigree, we also show that the algorithm can be trained to generate offspring images from their parents shapes, bypassing genotype information. Data and code are available at https://github.com/miguelperezenciso/dna2image.

bioinformatics↗