Long-Read Metagenome-Assembled Genomes Improve Identification of Novel Complete Biosynthetic Gene Clusters in a Complex Microbial Activated Sludge Ecosystem-Reference-Cited by-同舟云学术

Long-Read Metagenome-Assembled Genomes Improve Identification of Novel Complete Biosynthetic Gene Clusters in a Complex Microbial Activated Sludge Ecosystem

Published:2022-12-20 Issue:6 Volume:7 Page:
ISSN:2379-5077
Container-title:mSystems
language:en
Short-container-title:mSystems

Author:

Sánchez-Navarro Roberto¹,Nuhamunada Matin²,Mohite Omkar S.²^ORCID,Wasmund Kenneth¹³,Albertsen Mads¹,Gram Lone⁴^ORCID,Nielsen Per H.¹,Weber Tilmann²^ORCID,Singleton Caitlin M.¹^ORCID

Affiliation:

1. Center for Microbial Communities, Department of Chemistry and Bioscience, Aalborg University, Aalborg, Denmark

2. The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kgs. Lyngby, Denmark

3. Division of Microbial Ecology, Centre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, Austria

4. Department of Biotechnology and Biomedicine, Technical University of Denmark, Kgs. Lyngby, Denmark

Abstract

Cataloguing secondary metabolite (SM) potential using genome mining of metagenomic data has become the method of choice in bioprospecting for novel compounds. However, accurate biosynthetic gene cluster (BGC) detection requires unfragmented genomic assemblies, which have been technically difficult to obtain from metagenomes until very recently with new long-read technologies.

Funder

Novo nordisk foundation

Villum Fonden

Danish National Research Foundation

Publisher

American Society for Microbiology

Subject

Computer Science Applications,Genetics,Molecular Biology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics,Biochemistry,Physiology,Microbiology

Link

https://journals.asm.org/doi/pdf/10.1128/msystems.00632-22

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