A5077744330- Sugarcane Cultivation and Processing
- Plant Disease Resistance and Genetics
- Genetic Mapping and Diversity in Plants and Animals
- Science and Science Education
- Competitive and Knowledge Intelligence
- Plant pathogens and resistance mechanisms
- Biotechnology and Related Fields
- Scientific Computing and Data Management
- Genomics and Phylogenetic Studies
- Genetics, Bioinformatics, and Biomedical Research
- Biofuel production and bioconversion
- Plant-Microbe Interactions and Immunity
Universidade de São Paulo
2016-2024
Abstract Sporisorium scitamineum is the causal agent of sugarcane smut disease. The fungus establishes a biotrophic interaction with tissues, and unlike fungi other monocot hosts, primary meristem plants develops whip‐like structure instead tumour‐like galls emerging from floral structures (tassels ears). We examined (GFP)‐tagged S. infecting tissues three genotypes distinct responses to (susceptible, intermediate resistant resistant). Mating compatible haploid cells gfp ‐expressing were...
The fungal pathogen Sporisorium scitamineum causes sugarcane smut disease. We have previously shown that resistant plants induce ROS, coinciding with a delay in colonization. Here, we investigated whether the fungus modifies enzymatic antioxidant system vitro and when colonizing tissues response to ROS. In vitro, exposure ROS did not affect cell integrity, combination of superoxide dismutases (SOD) catalases (CAT) were active. alter expression transcriptional regulator Yap1 effector Pep1....
Here, we present the first complete chromosome-level genome assembly of smut fungus strain Sporisorium panici-leucophaei SPL10A, causal agent sourgrass (Digitaria insularis) disease. Combining Illumina paired-end and Nanopore long reads, generated a final composed 23 chromosomes (22 nuclear one mitochondrial) with 18,915,934 bp. Gene prediction accomplished using extrinsic evidence from sugarcane scitamineum originated total 6,402 protein-encoding genes. The secretome (388 proteins)...
Abstract The rapid evolution of high-throughput technologies in biosciences has generated diverse and voluminous datasets, requiring bioscientists to develop data manipulation analysis skills. Python, known for its versatility powerful libraries, become a crucial tool managing these datasets. However, there is significant lack programming training many countries. To address this knowledge gap among scientists Brazil, the Brazilian Python Workshop Biological Data was introduced several years...
Brazil would benefit from a long-term strategy for science and innovation that improves the standing of both scientists in country.