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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11 to 13 of 13 Results
Dec 18, 2025
Choudhary, Nancy; Hagedorn, Marie; Pucker, Boas, 2025, "Supplementary data supporting the study: "Out of the blue: Family-wide loss of anthocyanin biosynthesis in Cucurbitaceae"", https://doi.org/10.60507/FK2/ZNVSLA, bonndata, V1
This dataset contains supplementary data supporting the manuscript "Out of the blue: Family-wide loss of anthocyanin biosynthesis in Cucurbitaceae". In this large-scale phylogenomics study, we discovered the systemic absence of anthocyanin and proanthocyanidin biosynthesis genes in the Cucurbitaceae family. The structural genes DFR, ANS, arGST, LAR...
Nov 10, 2025
Marín Recinos, María Fernanda; Pucker, Boas, 2025, "Supplementary data to Evolutionary Dynamics of the Proanthocyanidin Biosynthesis Gene LAR", https://doi.org/10.60507/FK2/UKAAO0, bonndata, V2
This dataset contains supplementary files associated with the manuscript "Evolutionary Dynamics of the Proanthocyanidin Biosynthesis Gene LAR", which investigates the evolutionary divergence, sequence variation, promoter motif composition, and coexpression patterns of LAR1 and LAR2 genes across multiple plant lineages. Supplementary materials inclu...
Jul 22, 2025
Nowak, Melina Sophie; Harder, Benjamin; Meckoni, Samuel Nestor; Friedhoff, Ronja; Wolff, Katharina; Pucker, Boas, 2025, "Genome sequence and annotation of Victoria cruziana", https://doi.org/10.60507/FK2/5DS0JZ, bonndata, V1
The genome of a Victoria cruziana plant was sequenced with nanopore long reads. The genome sequence was assembled with Verkko2, scaffolding was conducted with CPhasing and the gene models were predicted by BRAKER3 and GeMoMa. The functional annotation was predicted based on sequence similarity to well characterized Arabidopsis thaliana sequences.
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