We address biological questions by combining molecular biology and computational methods. Our focus is on the genetic basis of plant specialized metabolism and the evolution of biosynthetic capabilities. To elucidate biosynthetic networks, we combine data from our own sequencing with public datasets. Bioinformatics tools are developed to answer specific questions through the analysis of large datasets, often employing methods of artificial intelligence. We investigate the regulation of biosynthetic networks through transcriptomics. Phylogenetic analyses assist in selecting candidate genes for specific molecular functions. Identified genes and biosynthetic pathways serve as a basis for experiments using synthetic biology methods. The results from the various approaches culminate in biotechnological applications.
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Aug 18, 2026
Vieira Salgado de Oliveira, Julie Anne; Baez, Mariana Alejandra; Pucker, Boas, 2026, "Valeriana officinalis genome sequence and annotation V1", https://doi.org/10.60507/FK2/TQZVWU, bonndata, V1
Here we present the first genome sequence and annotation of Valeriana officinalis (commonly known as valerian), a widespread perennial plant widely used as a herbal remedy. Using ONT long-read sequencing data, a highly continuous genome assembly was generated for V. officinalis. This study uncovers the flavonoid biosynthesis gene repertoire and num...
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