Characterization and Engineering of Streptomyces griseofuscus DSM 40191 as a Potential Host for Heterologous Expression of Biosynthetic Gene Clusters

Supporting dataset for Characterization and Engineering of Streptomyces griseofuscus DSM 40191 as a Potential Host for Heterologous Expression of Biosynthetic Gene ClustersTetiana Grena, Christopher M. Whitforda, Omkar S. Mohitea, Tue S. Jørgensena, Eftychia E. Kontoua, Julie B. Nielsena, Sang Yup Leea,b, Tilmann Webera#a) The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Denmarkb) Metabolic and Biomolecular Engineering National Research Laboratory, Department of Chemical and Biomolecular Engineering, Center for Systems and Synthetic Biotechnology, Institute for the BioCentury, Korea Advanced Institute of Science and Technology, Republic of KoreaSupplementary Data 1. Genome comparison dataExcel tables with gene annotations from NCBI GenBank and KEGG subsystems. Gene presence-absence table for genes across the pangenome of S. griseofuscus, S. coelicolor, S. venezuelae. The KEGG subsystem gene and reaction counts per organism. Supplementary Data 2. Phenotype microarray data analysis with DuctApeExcel tables with raw kinetic growth data across plates PM1 to PM4 with 2 replicates for S. griseofuscus, S. coelicolor, S. venezuelae. Biolog activity index (0 to 9) across 384 nutrients in each strain and comparison of number of active nutrients across the three strains. Supplementary Data 3. Genotype phenotype mapping using the KEGG pathwaysExcel tables with matrix of BioLog activity index across different KEGG nutrients mapped on to the KEGG pathways. Combined matrix with mean activity differences across three strains. Supplementary Data 4. Genome scale metabolic modelsThe SMBL formatted genome-scale metabolic models of the three Streptomyces strains used in the study Supplementary Data 5. Comparison of genome scale model based growth predictions and BioLog dataExcel table with list of reactions considered in the three genome scale models and comparison of in-silico growth prediction on different nutrients against BioLog data. Supplementry Data 6. BGC comparison across Streptomyces using BiG-SCAPEInformation on BGCs detected in S. griseofuscus and information on the public genomes selected along with the BGCs selected for comparison. Similarity network data used for generation of Fig. 3 with information on nodes and edges.