Publications by authors named "Estela A Costa"
Article Synopsis
- Poaceae is a diverse plant family that includes key crops like forage grasses and sugarcane, which face challenges in genetic research due to their complex genomic structures.
- The study focuses on developing a machine learning approach to improve the prediction of complex traits in these polyploid species, utilizing genotypic data from sugarcane and forage grasses.
- The new predictive system outperformed traditional methods, showing over 50% improvements in accuracy, which could streamline breeding programs and enhance genetic advancements.
Sugarcane is an economically important crop, but its genomic complexity has hindered advances in molecular approaches for genetic breeding. New cultivars are released based on the identification of interesting traits, and for sugarcane, brown rust resistance is a desirable characteristic due to the large economic impact of the disease. Although marker-assisted selection for rust resistance has been successful, the genes involved are still unknown, and the associated regions vary among cultivars, thus restricting methodological generalization.
View Article and Find Full Text PDFBackground: Sugarcane (Saccharum spp.) is predominantly an autopolyploid plant with a variable ploidy level, frequent aneuploidy and a large genome that hampers investigation of its organization. Genetic architecture studies are important for identifying genomic regions associated with traits of interest.
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- Sugarcane is a vital crop for sugar and alcohol production, and this study focused on analyzing six sugarcane genotypes through de novo assembly and transcriptome annotation.
- Over 400 million short reads from the Illumina RNA-Seq platform were used to assemble 72,269 unigenes, with many showing significant similarities to sorghum proteins and revealing potentially new sugarcane genes not in existing databases.
- Additionally, the research identified numerous molecular markers, including over 5,100 simple sequence repeats (SSRs) and over 700,000 single-nucleotide polymorphisms (SNPs), providing valuable resources for future genetic studies.
Many plant species of great economic value (e.g., potato, wheat, cotton, and sugarcane) are polyploids.
View Article and Find Full Text PDFBackground: The database of sugarcane expressed sequence tags (EST) offers a great opportunity for developing molecular markers that are directly associated with important agronomic traits. The development of new EST-SSR markers represents an important tool for genetic analysis. In sugarcane breeding programs, functional markers can be used to accelerate the process and select important agronomic traits, especially in the mapping of quantitative traits loci (QTL) and plant resistant pathogens or qualitative resistance loci (QRL).
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