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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Plain Text - 17.0 KB - MD5: 09efa63aa55dec812e8d28aa1037efac
README file describing the datasets and files overview
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...
Adobe PDF - 126.3 KB - MD5: 5ebbeef5df5ea071b2f28ea8cb7b1c69
PDF document with the complete phylogenetic tree that includes non-collapsed clades and full labels.
Comma Separated Values - 2.6 KB - MD5: 1c9d8e9eed0fb82da2529f87fc2fd677
CSV table listing the genomic positions of LAR1 and LAR2 genes.
Gzip Archive - 11.0 MB - MD5: b4a834b262be71e66adea25643f969cd
structural annotation
Gzip Archive - 964.3 KB - MD5: 2179d5252febbc4b188ad6f3b1742c33
functional annotation
Gzip Archive - 14.6 MB - MD5: 9ced525920ac732079f3fb847963a2cb
CDS
Gzip Archive - 231.1 MB - MD5: 59448232c618051c46b7cab5b883414c
genome sequence
Gzip Archive - 9.6 MB - MD5: d17a91ebb87eca47913197991b4b3894
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