{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Boldt J"],"funding":["Deutsches Zentrum für Infektionsforschung"],"pagination":["e70298"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12800573"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["19(1)"],"pubmed_abstract":["Tens of thousands of biosynthetic gene clusters (BGCs) have been identified in microbial genomes, but the vast majority of associated natural products (NPs) and their underlying biosyntheses remain unknown. Metabologenomics approaches integrate genomic and metabolomic datasets to statistically associate BGCs to their cognate NPs, yet often suggest many false links. Here, we show that incorporating information on the producer strains' phylogeny greatly improves accuracy. We sequenced 72 Sorangium spp. genomes (myxobacteria), predicting 2030 BGCs in 265 gene cluster families (GCFs). Mass spectrometry (MS<sup>1</sup>) revealed 99 metabolite families (MFs) from the same strains. Using a phylogeny-aware statistical analysis, we identified 43 high-confidence associations between GCFs and MFs, co"],"journal":["Microbial biotechnology"],"pubmed_title":["Phylogeny-Aware Metabologenomics Accurately Assigns Natural Products to Biosynthetic Gene Clusters."],"pmcid":["PMC12800573"],"funding_grant_id":["09.720"],"pubmed_authors":["Porten C","Haeckl FPJ","Krug D","Nubel U","Muller R","Wink J","Hug JJ","Goker M","Panter F","Steglich M","Overmann J","Boldt J"],"additional_accession":[]},"is_claimable":false,"name":"Phylogeny-Aware Metabologenomics Accurately Assigns Natural Products to Biosynthetic Gene Clusters.","description":"Tens of thousands of biosynthetic gene clusters (BGCs) have been identified in microbial genomes, but the vast majority of associated natural products (NPs) and their underlying biosyntheses remain unknown. Metabologenomics approaches integrate genomic and metabolomic datasets to statistically associate BGCs to their cognate NPs, yet often suggest many false links. Here, we show that incorporating information on the producer strains' phylogeny greatly improves accuracy. We sequenced 72 Sorangium spp. genomes (myxobacteria), predicting 2030 BGCs in 265 gene cluster families (GCFs). Mass spectrometry (MS<sup>1</sup>) revealed 99 metabolite families (MFs) from the same strains. Using a phylogeny-aware statistical analysis, we identified 43 high-confidence associations between GCFs and MFs, co","dates":{"release":"2026-01-01T00:00:00Z","publication":"2026 Jan","modification":"2026-06-10T05:29:52.569Z","creation":"2026-06-10T03:07:22.906Z"},"accession":"S-EPMC12800573","cross_references":{"pubmed":["41531312"],"doi":["10.1111/1751-7915.70298"]}}