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Crestana, G. S.

Publications and source records attributed to Crestana, G. S..

2 recordsLinked to original sources

Reference Gene Validation in Energy Cane Under Smut Infection and Insights into Antioxidant Gene Expression

Sporisorium scitamineum is the causal agent of smut disease affecting sugarcane and energy cane crop production. Despite the frequent use of traditional reference genes for gene expression normalization by RT-qPCR, their stability can vary across genotypes and stress conditions. Here, we evaluated the stability of seven commonly used reference genes (GAPDH, SAMDC, UBQ, 25S rRNA, TUB, SARMp1, and ACAD) and two additional candidates (EF5A-1 and SDH1-1) identified from RNA-Seq data in two contrasting energy cane genotypes (Vertix 1, smut-susceptible; Vertix 2, smut-resistant). Stability was assessed at three infection time points (12 hours post-inoculation, 48 hpi, and 5 days post-inoculation) separately and also on a combined dataset comprising all time points, under mock and smut-inoculated conditions. Gene stability, evaluated through multiple approaches (coefficient of variation, RefFinder, GeNorm) and consolidated using RankAggreg, revealed genotype and condition-dependent variability, with no universal reference gene set for most conditions. GAPDH, commonly used in sugarcane studies, showed the highest variation in our experiments, reinforcing the need for genotype and condition-specific validation. The best-ranked reference genes were used to quantify ROS-related defense responses. Vertix 2 (Vx2) exhibited coordinated induction of SOD, POX5, and CATB, whereas Vertix 1 (Vx1) showed delayed or reduced activation of these genes alongside a compensatory up-regulation of GSTt3. By validating reliable endogenous genes from literature and RNA-Seq data, this study ensures accurate gene expression quantification under biotic stress and highlights antioxidant mechanisms as contributors to smut resistance in S. scitamineum-energy cane interactions.

plant biology↗

Bridging the Python Training Gap for Bioscientists in Brazil: Improvements and Challenges

The rapid evolution of high-throughput technologies in biosciences has generated diverse and voluminous datasets, requiring bioscientists to develop data manipulation and analysis skills. Python, known for its versatility and powerful libraries, has become a crucial tool for managing these datasets. However, there is a significant lack of programming training for bioscientists in many countries. To address this knowledge gap among scientists in Brazil, the Brazilian Python Workshop for Biological Data was introduced several years ago, focusing on basic programming concepts and data handling techniques using popular Python libraries. Despite the progress and positive feedback from earlier editions, challenges persisted, necessitating continuous adaptation and improvement to meet the evolving needs of bioscientists.This work describes the advancements made in the 2021 and 2022 editions of the workshop and discusses new suggestions for its ongoing enhancement. Key innovations were introduced in the workshop structure and coordination, including the creation of new committees and the establishment of a code of conduct. Feedback forms were updated to enable real-time adjustments during the event, improving its overall effectiveness. The workshop also expanded its reach by increasing geographical diversity among participants. New didactic strategies, such as pair-teaching, code clubs, and the integration of information and communication technologies (ICTs), were implemented to enhance learning outcomes. Programming best practices and scientific reproducibility were emphasized through talks and hands-on activities, guided by PEP8 conventions. Furthermore, efforts to enhance scientific dissemination were intensified, with an increased presence on social media and participation in international scientific events and communication networks. Finally, we present updated recommendations for students, researchers, and educators interested in organizing and promoting similar events, building on those previously described.

scientific communication and education↗