Entries by Ana Valladares

QTL × environment interactions underlie adaptive divergence in switchgrass across a large latitudinal gradient (PNAS)

The main problem to elucidate the genetic basis in regards to a plant local adaptation is the geographic and climatic biased scope of the tests. Here, Lowry et al. overcame this by evaluating the contributions of individual genetic loci to the adaptation of outcrossing switchgrass (Panicum virgatum L.) across 10 geographic regions at the central […]

Genomic regions associated with economic traits in walnut (Plant Breeding)

The bearing habit refers to the location of flower buds in woody plants. For walnut cultivars, lateral bearing is preferred for its yield superiority. Deciphering its genetic architecture would improve seedling and sapling selection. Here, Aradhya et al. performed a SNP-based linkage map to estimate genetic effects of quantitative trait loci (QTLs) for 5 yield […]

High resolution mapping of RphMBR1012 conferring resistance to Puccinia hordei in barley (Front Plant Sci)

Barley leaf rust (Puccinia hordei) is a biotrophic fungus, in which mutations cause newly virulent races (pathothypes) with severe effects on cultivars. Marker-assisted Selection for Rph (Resistance to P. hordei) genes has been studied to provide sustainable control of this disease. Fazlikhani et al. developed molecular markers for the construction of a high resolution map […]

Characterizing the serotonin biosynthesis pathway upon aphid infestation in Setaria viridis leaves (bioRxiv)

In response to biotic stresses, plants produce chemical defenses to reduce damage. Adaptations to insect infestation involve synthesis of Trp-derived metabolites, leading to metabolome alterations. Here, Dangol et al. analyzed the transcriptomic and metabolomic effects after herbivore feeding in Setaria viridis, the green foxtail millet. Using transcriptomic and RNA-seq data mapped to the S. viridis […]

Development of genome-wide SNP markers for barley via reference- based RNA-Seq Analysis (Front Plant Sci)

The availability of marker-assisted systems is key for crop improvement, allowing trait selection by identifying consensus polymorphisms. However, for discriminating between related strains, these DNA markers are limited, time-consuming and expensive. Here, Tanaka et al. developed a RNA-Seq-based genotyping pipeline for genome-wide polymorphism detection for barley. The authors compared the variations among 108 Japanese strains […]

Loss-of-function of a tomato receptor-like kinase impairs male fertility and induces parthenocarpic fruit set (Front Plant Sci)

The flower-to-fruit transition (fruit set) and parthenocarpy, the pollination-independent development of seedless fruits, are controlled by complex hormone networks. Takei et al. identified a tomato gamma-ray induced mutant named small parthenocarpic fruit and flower (spff) with small fruits and flowers, male sterility, delayed flowering, and increased productivity (fruits per plant). Using genome-wide single nucleotide polymorphism […]

Generation of herbicide tolerance traits and a new selectable marker in wheat using base editing (Nature Plants)

Nowadays, weeds represents a major problem to agriculture due to the limited availability and expense of tools to manage them. Using new technologies to create herbicide-tolerant, non-transgenic varieties could improve weed control. Here, Li et al. analyzed multiallelic editing of the wheat TaALS (encoding acetolactate synthase) gene. ALS is a key enzyme in the synthesis […]

Transposable elements drive rapid phenotypic variation in Capsella rubella (PNAS)

How can a species with limited genetic variation rapidly adapt to new environments? This phenomenon is known as the genetic paradox of invasion. Here, Niu et al. studied the role of Transposable Elements (TEs) in Capsella rubella, focusing on flowering-time variation. By analyzing population genomics and comparing with its outcrossing sister C. grandiflora, TEs were found “highly […]

Flavor-cyber-agriculture: Metabolite optimization through surrogate modeling (PLOS One)

Cyber-agriculture is a computer-controlled plant growing environment which regulates climatic conditions through machine learning, finding optimized variables (“recipes”) to maximize a specific plant trait. Here, Johnson et al. applied cyber-agriculture to chemotype optimization for flavor in basil (Ocimum basilicum) through surrogate modeling. As light exposure has been shown to increase aromatic molecules concentration, the study […]