A multi-omics reciprocal analysis for characterization of bacterial metabolism.
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| Main Authors: | , , , , , , , , , , , , , , , , , , , |
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| Format: | Artículo científico |
| Language: | en |
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Frontiers in molecular biosciences
2025
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| author | Arini, Gabriel Santos Borelli, Tiago Cabral Ferreira, Elthon Góis de Felício, Rafael Rezende-Teixeira, Paula Pedrino, Matheus Rabiço, Franciene de Siqueira, Guilherme Marcelino Viana Mencucini, Luiz Gabriel Tsuji, Henrique Neves Andrade, Lucas Sousa Garrido, Leandro Maza Padilla, Gabriel Gil-de-la-Fuente, Alberto Wang, Mingxun Lopes, Norberto Peporine Barbosa Trivella, Daniela Barretto Costa-Lotufo, Letícia Veras Guazzaroni, María-Eugenia Roberto da Silva, Ricardo |
| author_facet | Arini, Gabriel Santos Borelli, Tiago Cabral Ferreira, Elthon Góis de Felício, Rafael Rezende-Teixeira, Paula Pedrino, Matheus Rabiço, Franciene de Siqueira, Guilherme Marcelino Viana Mencucini, Luiz Gabriel Tsuji, Henrique Neves Andrade, Lucas Sousa Garrido, Leandro Maza Padilla, Gabriel Gil-de-la-Fuente, Alberto Wang, Mingxun Lopes, Norberto Peporine Barbosa Trivella, Daniela Barretto Costa-Lotufo, Letícia Veras Guazzaroni, María-Eugenia Roberto da Silva, Ricardo Arini, Gabriel Santos Borelli, Tiago Cabral Ferreira, Elthon Góis de Felício, Rafael Rezende-Teixeira, Paula Pedrino, Matheus Rabiço, Franciene de Siqueira, Guilherme Marcelino Viana Mencucini, Luiz Gabriel Tsuji, Henrique Neves Andrade, Lucas Sousa Garrido, Leandro Maza Padilla, Gabriel Gil-de-la-Fuente, Alberto Wang, Mingxun Lopes, Norberto Peporine Barbosa Trivella, Daniela Barretto Costa-Lotufo, Letícia Veras Guazzaroni, María-Eugenia Roberto da Silva, Ricardo |
| collection | PubMed - marine biology |
| contents | A multi-omics reciprocal analysis for characterization of bacterial metabolism. Arini, Gabriel Santos Borelli, Tiago Cabral Ferreira, Elthon Góis de Felício, Rafael Rezende-Teixeira, Paula Pedrino, Matheus Rabiço, Franciene de Siqueira, Guilherme Marcelino Viana Mencucini, Luiz Gabriel Tsuji, Henrique Neves Andrade, Lucas Sousa Garrido, Leandro Maza Padilla, Gabriel Gil-de-la-Fuente, Alberto Wang, Mingxun Lopes, Norberto Peporine Barbosa Trivella, Daniela Barretto Costa-Lotufo, Letícia Veras Guazzaroni, María-Eugenia Roberto da Silva, Ricardo Exploiting microbial natural products is a key pursuit of the bioactive compound discovery field. Recent advances in modern analytical techniques have increased the volume of microbial genomes and their encoded biosynthetic products measured by mass spectrometry-based metabolomics. However, connecting multi-omics data to uncover metabolic processes of interest is still challenging. This results in a large portion of genes and metabolites remaining unannotated. Further exacerbating the annotation challenge, databases and tools for annotation and omics integration are scattered, requiring complex computations to annotate and integrate omics datasets. Here we performed a two-way integrative analysis combining genomics and metabolomics data to describe a new approach to characterize the marine bacterial isolate BRA006 and to explore its biosynthetic gene cluster (BGC) content as well as the bioactive compounds detected by metabolomics. We described BRA006 genomic content and structure by comparing Illumina and Oxford Nanopore MinION sequencing approaches. Digital DNA:DNA hybridization (dDDH) taxonomically assigned BRA006 as a potential new species of the Micromonospora genus. Starting from LC-ESI(+)-HRMS/MS data, and mapping the annotated enzymes and metabolites belonging to the same pathways, our integrative analysis allowed us to correlate the compound Brevianamide F to a new BGC, previously assigned to other function. |
| format | Artículo científico |
| id | pubmed_40182618 |
| institution | PubMed |
| language | en |
| publishDate | 2025 |
| publisher | Frontiers in molecular biosciences |
| record_format | pubmed |
| spellingShingle | A multi-omics reciprocal analysis for characterization of bacterial metabolism. Arini, Gabriel Santos Borelli, Tiago Cabral Ferreira, Elthon Góis de Felício, Rafael Rezende-Teixeira, Paula Pedrino, Matheus Rabiço, Franciene de Siqueira, Guilherme Marcelino Viana Mencucini, Luiz Gabriel Tsuji, Henrique Neves Andrade, Lucas Sousa Garrido, Leandro Maza Padilla, Gabriel Gil-de-la-Fuente, Alberto Wang, Mingxun Lopes, Norberto Peporine Barbosa Trivella, Daniela Barretto Costa-Lotufo, Letícia Veras Guazzaroni, María-Eugenia Roberto da Silva, Ricardo A multi-omics reciprocal analysis for characterization of bacterial metabolism. Arini, Gabriel Santos Borelli, Tiago Cabral Ferreira, Elthon Góis de Felício, Rafael Rezende-Teixeira, Paula Pedrino, Matheus Rabiço, Franciene de Siqueira, Guilherme Marcelino Viana Mencucini, Luiz Gabriel Tsuji, Henrique Neves Andrade, Lucas Sousa Garrido, Leandro Maza Padilla, Gabriel Gil-de-la-Fuente, Alberto Wang, Mingxun Lopes, Norberto Peporine Barbosa Trivella, Daniela Barretto Costa-Lotufo, Letícia Veras Guazzaroni, María-Eugenia Roberto da Silva, Ricardo Exploiting microbial natural products is a key pursuit of the bioactive compound discovery field. Recent advances in modern analytical techniques have increased the volume of microbial genomes and their encoded biosynthetic products measured by mass spectrometry-based metabolomics. However, connecting multi-omics data to uncover metabolic processes of interest is still challenging. This results in a large portion of genes and metabolites remaining unannotated. Further exacerbating the annotation challenge, databases and tools for annotation and omics integration are scattered, requiring complex computations to annotate and integrate omics datasets. Here we performed a two-way integrative analysis combining genomics and metabolomics data to describe a new approach to characterize the marine bacterial isolate BRA006 and to explore its biosynthetic gene cluster (BGC) content as well as the bioactive compounds detected by metabolomics. We described BRA006 genomic content and structure by comparing Illumina and Oxford Nanopore MinION sequencing approaches. Digital DNA:DNA hybridization (dDDH) taxonomically assigned BRA006 as a potential new species of the Micromonospora genus. Starting from LC-ESI(+)-HRMS/MS data, and mapping the annotated enzymes and metabolites belonging to the same pathways, our integrative analysis allowed us to correlate the compound Brevianamide F to a new BGC, previously assigned to other function. |
| title | A multi-omics reciprocal analysis for characterization of bacterial metabolism. |
| url | https://pubmed.ncbi.nlm.nih.gov/40182618/ |