An Axiom SNP genotyping array for potato: development, evaluation and applications
Authors: Baig, N., Thelen, K., Ayenan, M. A. T., Hartje, S., Obeng-Hinneh, E., Zgadzaj, R., Renner, J., Muders, K., Truberg, B., Rosen, A., Prigge, V., Bruckmueller, J., Luebeck, J., Van Inghelandt, D., Stich, B.
The study reports the creation and validation of a high‑density Axiom SNP array for Solanum tuberosum, based on 10X Genomics sequencing of 108 diverse clones and integration of existing Illumina markers. The array demonstrated high reproducibility and, after filtering, provided 206,616 informative markers for population structure analysis, GWAS of polyphenol oxidase activity, and genomic prediction with accuracies up to 0.86.
Identification of a novel link connecting indole-3-acetamide with abscisic acid biosynthesis and signaling
Authors: Moya-Cuevas, J., Ortiz-Garcia, P., Gonzalez Ortega-Villizan, A., Viguera-Leza, I., Perez-Gonzalez, A., Paz-Ares, J., Alonso-Blanco, C., Vicente-Carbajosa, J., Pollmann, S.
A genome-wide association study of 166 Iberian Arabidopsis accessions identified loci, including ABA3 and GA2ox2, that modulate the inhibitory effect of the auxin precursor indole-3-acetamide (IAM) on primary root elongation. Integrating sequence analysis, transcriptomics, 3D protein modeling, and mutant physiology revealed that IAM promotes ABA biosynthesis and signaling, uncovering a novel node of hormone crosstalk.
Stress-dependent responses of grapevine wood and fungal pathogen activity under esca and drought
Authors: Chambard, M., Cantu, D., Bortolami, G., Dell'Acqua, N., Ferrer, N., Gambetta, G., Garcia, J., Gastou, P., Massonnet, M., Moretti, S., Rochepeau, A., Petriacq, P., Foulongne-Oriol, M., Delmas, C. E. L.
The study used wood metatranscriptomics, metabolomics, and metabarcoding to compare grapevine (Vitis vinifera) responses to drought and esca leaf symptom expression, revealing distinct but overlapping transcriptomic and metabolic signatures, including activation of phenylpropanoid and stilbenoid pathways. Drought reduced esca symptom expression, associated with decreased abundance of the wood‑decay fungus Fomitiporia mediterranea and altered fungal virulence factor expression, while increasing the relative abundance and anti‑oxidative gene expression of Phaeomoniella chlamydospora.
Whole genome sequencing-based multi-locus association mapping for kernel iron, zinc and protein content in groundnut
Authors: Sagar, U. N., Parmar, S., Gangurde, S. S., Sharma, V., Pandey, A. K., Mohinuddin, D. K., Dube, N., Bhat, R. S., John, K., Sreevalli, M. D., Rani, P. S., Singh, K., Varshney, R. K., Pandey, M. K.
The study used multi‑season phenotyping for iron, zinc, and protein content together with whole‑genome re‑sequencing of a groundnut mini‑core collection to conduct a genome‑wide association study, identifying numerous marker‑trait associations and candidate genes linked to nutrient homeostasis. SNP‑based KASP markers were designed for nine loci, of which three showed polymorphism and are ready for deployment in genomics‑assisted breeding for nutrient‑rich groundnut varieties.
The study investigated whether clonal offspring of Festuca rubra inheriting drought or methyl jasmonate (MeJA) exposure exhibit transgenerational stress memories that enhance tolerance to subsequent drought. Using a factorial experiment, untargeted LC‑MS metabolomics combined with morpho‑physiological assessments revealed that combined drought and MeJA memories generate novel metabolic and physiological responses, improving water conservation and photosynthetic performance. These findings highlight a layered, interactive memory system that can be leveraged to prime drought resilience across generations.
The study integrates genome, transcriptome, and chromatin accessibility data from 380 soybean accessions to dissect the genetic and regulatory basis of symbiotic nitrogen fixation (SNF). Using GWAS, TWAS, eQTL mapping, and ATAC-seq, the authors identify key loci, co‑expression modules, and regulatory elements, and validate the circadian clock gene GmLHY1b as a negative regulator of nodulation via CRISPR and CUT&Tag. These resources illuminate SNF networks and provide a foundation for soybean improvement.
The study conducted tissue-specific metabolomic profiling of leaf, calyx, and fruit surfaces across 29 Physalis species, revealing extensive acylsugar diversity with up to 323 unique structures, many accumulated on fruit surfaces. Hierarchical clustering and phylogenetic analyses showed that acylsugar profiles do not align with taxonomic relationships, and functional assays of ASAT1 enzymes from three species demonstrated broad substrate specificity that likely drives structural variation. These findings highlight fruit-localized acylsugars as potential targets for engineering crop resilience.
The study examined soybean (Glycine max) responses to simultaneous drought and Asian soybean rust infection using combined transcriptomic and metabolomic analyses. Weighted Gene Co-expression Network Analysis identified stress-specific gene modules linked to metabolites, while Copula Graphical Models uncovered sparse, condition‑specific networks, revealing distinct molecular signatures for each stress without overlapping genes or metabolites. The integrative approach underscores a hierarchical, modular defense architecture and suggests targets for breeding multi‑stress resilient soybeans.
Introducing furanocoumarin biosynthetic genes in tomato results in coumarins accumulation and impacted growth
Authors: Bouille, A., Villard, C., Galati, G., Roumani, M., Fauvet, A., Grosjean, J., Hoengenaert, L., Boerjan, W., Ralph, J., Hilliou, F., Robin, C., Hehn, A., Larbat, R.
The study engineered the linear furanocoumarin pathway in tomato by integrating four biosynthetic genes, aiming to produce psoralen, but instead generated coumarins such as scopoletin. Morphophysiological, metabolomic, and transcriptomic analyses revealed that even low levels of these coumarins can influence plant growth and physiology, highlighting both benefits and costs of coumarin accumulation in crops.
The study generated a phenotypic dataset for 550 Lactuca accessions, including 20 wild relatives, and applied an iterative two‑step GWAS using a jointly processed SNP set for cultivated lettuce (L. sativa) and its wild progenitor (L. serriola) to dissect trait loci. Known and novel QTLs for anthocyanin accumulation, leaf morphology, and pathogen resistance were identified, with several L. serriola‑specific QTLs revealing unique genetic architectures, underscoring the breeding value of wild lettuce species.