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 25, 2026
Marín Recinos, María Fernanda; Ajayi, Blessing; Wolff, Katharina; Choudhary, Nancy; Vieira Salgado de Oliveira, Julie Anne; Pucker, Boas, 2026, "Theobroma cacao: Genome Sequences and Annotations", https://doi.org/10.60507/FK2/YQDFT4, bonndata, V1
The genomes of two Theobroma cacao plants were sequenced with Nanopore long reads. The genome sequence was assembled with hifiasm and the gene models were predicted by GeMoMa. The functional annotation was predicted based on sequence similarity to well characterized Arabidopsis thaliana sequences.
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