Long-read metagenomics of soil communities reveals phylum-specific secondary metabolite dynamics

dc.contributor.authorVan Goethem, Marc W.
dc.contributor.authorOsborn, Andrew R.
dc.contributor.authorBowen, Benjamin P.
dc.contributor.authorAndeer, Peter F.
dc.contributor.authorSwenson, Tami L.
dc.contributor.authorClum, Alicia
dc.contributor.authorRiley, Robert
dc.contributor.authorHe, Guifen
dc.contributor.authorKoriabine, Maxim
dc.contributor.authorSandor, Laura
dc.contributor.authorYan, Mi
dc.contributor.authorDaum, Chris G.
dc.contributor.authorYoshinaga, Yuko
dc.contributor.authorMakhalanyane, Thulani Peter
dc.contributor.authorGarcia-Pichel, Ferran
dc.contributor.authorVisel, Axel
dc.contributor.authorPennacchio, Len A.
dc.contributor.authorO’Malley, Ronan C.
dc.contributor.authorNorthen, Trent R.
dc.date.accessioned2022-07-22T11:16:49Z
dc.date.available2022-07-22T11:16:49Z
dc.date.issued2021-11-18
dc.descriptionSupplementary Data 1 : Description: Raw metagenome and metatranscriptome statistics.en_US
dc.descriptionSupplementary Data 2 : Description: Assembly statistics of short- and long-read metagenomes as well as metatranscriptomes.en_US
dc.descriptionSupplementary Data 3 : Description: Each biosynthetic gene cluster identified from the assembled metagenomes in this study.en_US
dc.descriptionSupplementary Data 4 : Description: Each biosynthetic gene cluster identified in the metatranscriptomic assemblies.en_US
dc.descriptionSupplementary Data 5 : Description: The genes used to calculate transcription of biosynthetic gene clusters and core bacterial genes.en_US
dc.descriptionSupplementary Data 6 : Description: DESeq2 analysis of significantly transcribed genes between day and night-time transcription.en_US
dc.descriptionSupplementary Data 7 : Description: Transcriptional scores for cation-related genes.en_US
dc.descriptionSupplementary Data 8 : Description: Average abundance pattern for each phylum through time.en_US
dc.descriptionSupplementary Data 9 : Description: Taxonomic composition of metagenomes and metatranscriptomes using fulllength 16S rRNA.en_US
dc.descriptionSupplementary Data 10 : Description: Normalized sequence data showing scores of transcription at each time point with BGC type and Phylum shownen_US
dc.description.abstractMicrobial biosynthetic gene clusters (BGCs) encoding secondary metabolites are thought to impact a plethora of biologically mediated environmental processes, yet their discovery and functional characterization in natural microbiomes remains challenging. Here we describe deep long-read sequencing and assembly of metagenomes from biological soil crusts, a group of soil communities that are rich in BGCs. Taking advantage of the unusually long assemblies produced by this approach, we recovered nearly 3,000 BGCs for analysis, including 712 full-length BGCs. Functional exploration through metatranscriptome analysis of a 3-day wetting experiment uncovered phylum-specific BGC expression upon activation from dormancy, elucidating distinct roles and complex phylogenetic and temporal dynamics in wetting processes. For example, a pronounced increase in BGC transcription occurs at night primarily in cyanobacteria, implicating BGCs in nutrient scavenging roles and niche competition. Taken together, our results demonstrate that long-read metagenomic sequencing combined with metatranscriptomic analysis provides a direct view into the functional dynamics of BGCs in environmental processes and suggests a central role of secondary metabolites in maintaining phylogenetically conserved niches within biocrusts.en_US
dc.description.departmentBiochemistryen_US
dc.description.departmentGeneticsen_US
dc.description.departmentMicrobiology and Plant Pathologyen_US
dc.description.librarianam2022en_US
dc.description.sponsorshipThis work was partially supported by funds provided by the Office of Science Early Career Research Program Office of Biological and Environmental Research, of the U.S. Department of Energy and by the U.S. Department of Energy Joint Genome Institute, a DOE Office of Science User Facility, supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231 to Lawrence Berkeley National Laboratory. We also wish to acknowledge Simon Roux, Emiley Eloe-Fadrosh and Eoin Brodie for their constructive feedback.en_US
dc.description.urihttps://www.nature.com/commsbioen_US
dc.identifier.citationVan Goethem, M.W., Osborn, A.R., Bowen, B.P. et al. Long-read metagenomics of soil communities reveals phylum-specific secondary metabolite dynamics. Communications Biology 4, 1302 (2021). https://doi.org/10.1038/s42003-021-02809-4.en_US
dc.identifier.issn2399-3642 (online)
dc.identifier.other10.1038/s42003-021-02809-4
dc.identifier.urihttps://repository.up.ac.za/handle/2263/86405
dc.language.isoenen_US
dc.publisherNature Researchen_US
dc.rights© The Author(s) 2021. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License.en_US
dc.subjectMicrobial biosynthetic gene clustersen_US
dc.subjectSoil crustsen_US
dc.subjectCyanobacteriaen_US
dc.subjectBiocrustsen_US
dc.subjectBacterial geneticsen_US
dc.subjectMetagenomicsen_US
dc.subjectMicrobial ecologyen_US
dc.titleLong-read metagenomics of soil communities reveals phylum-specific secondary metabolite dynamicsen_US
dc.typeArticleen_US

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