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      Biogeographic patterns of biosynthetic potential and specialized metabolites in marine sediments

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          Abstract

          While the field of microbial biogeography has largely focused on the contributions of abiotic factors to community patterns, the potential influence of biotic interactions in structuring microbial communities, such as those mediated by the production of specialized metabolites, remains largely unknown. Here, we examined the relationship between microbial community structure and specialized metabolism at local spatial scales in marine sediment samples collected from the Long-Term Ecological Research (LTER) site in Moorea, French Polynesia. By employing a multi-omic approach to characterize the taxonomic, functional, and specialized metabolite composition within sediment communities, we find that biogeographic patterns were driven by local scale processes (e.g., biotic interactions) and largely independent of dispersal limitation. Specifically, we observed high variation in biosynthetic potential (based on Bray-Curtis dissimilarity) between samples, even within 1 m 2 plots, that reflected uncharacterized chemical space associated with site-specific metabolomes. Ultimately, connecting biosynthetic potential to community metabolomes facilitated the in situ detection of natural products and revealed new insights into the complex metabolic dynamics associated with sediment microbial communities. Our study demonstrates the potential to integrate biosynthetic genes and metabolite production into assessments of microbial community dynamics.

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          Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking.

          The potential of the diverse chemistries present in natural products (NP) for biotechnology and medicine remains untapped because NP databases are not searchable with raw data and the NP community has no way to share data other than in published papers. Although mass spectrometry (MS) techniques are well-suited to high-throughput characterization of NP, there is a pressing need for an infrastructure to enable sharing and curation of data. We present Global Natural Products Social Molecular Networking (GNPS; http://gnps.ucsd.edu), an open-access knowledge base for community-wide organization and sharing of raw, processed or identified tandem mass (MS/MS) spectrometry data. In GNPS, crowdsourced curation of freely available community-wide reference MS libraries will underpin improved annotations. Data-driven social-networking should facilitate identification of spectra and foster collaborations. We also introduce the concept of 'living data' through continuous reanalysis of deposited data.
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            Microbial biogeography: putting microorganisms on the map.

            We review the biogeography of microorganisms in light of the biogeography of macroorganisms. A large body of research supports the idea that free-living microbial taxa exhibit biogeographic patterns. Current evidence confirms that, as proposed by the Baas-Becking hypothesis, 'the environment selects' and is, in part, responsible for spatial variation in microbial diversity. However, recent studies also dispute the idea that 'everything is everywhere'. We also consider how the processes that generate and maintain biogeographic patterns in macroorganisms could operate in the microbial world.
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              A communal catalogue reveals Earth’s multiscale microbial diversity

              Our growing awareness of the microbial world’s importance and diversity contrasts starkly with our limited understanding of its fundamental structure. Despite recent advances in DNA sequencing, a lack of standardized protocols and common analytical frameworks impedes comparisons among studies, hindering the development of global inferences about microbial life on Earth. Here we present a meta-analysis of microbial community samples collected by hundreds of researchers for the Earth Microbiome Project. Coordinated protocols and new analytical methods, particularly the use of exact sequences instead of clustered operational taxonomic units, enable bacterial and archaeal ribosomal RNA gene sequences to be followed across multiple studies and allow us to explore patterns of diversity at an unprecedented scale. The result is both a reference database giving global context to DNA sequence data and a framework for incorporating data from future studies, fostering increasingly complete characterization of Earth’s microbial diversity. Supplementary information The online version of this article (doi:10.1038/nature24621) contains supplementary material, which is available to authorized users.
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                Author and article information

                Contributors
                abchase@smu.edu
                Journal
                ISME J
                ISME J
                The ISME Journal
                Nature Publishing Group UK (London )
                1751-7362
                1751-7370
                15 April 2023
                15 April 2023
                July 2023
                : 17
                : 7
                : 976-983
                Affiliations
                [1 ]GRID grid.263864.d, ISNI 0000 0004 1936 7929, Department of Earth Sciences, , Southern Methodist University, ; Dallas, TX USA
                [2 ]GRID grid.266100.3, ISNI 0000 0001 2107 4242, Center for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography, , University of California at San Diego, ; La Jolla, CA USA
                [3 ]GRID grid.266100.3, ISNI 0000 0001 2107 4242, Center for Microbiome Innovation, , University of California at San Diego, ; La Jolla, CA USA
                Author information
                http://orcid.org/0000-0003-1984-6279
                http://orcid.org/0000-0002-6690-8172
                http://orcid.org/0000-0003-2349-1888
                Article
                1410
                10.1038/s41396-023-01410-3
                10284892
                37061583
                ff75d79a-f534-492d-9519-3abe8b2e9ee6
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 26 January 2023
                : 29 March 2023
                : 31 March 2023
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000002, U.S. Department of Health & Human Services | National Institutes of Health (NIH);
                Award ID: R01GM085770
                Award Recipient :
                Categories
                Article
                Custom metadata
                © International Society for Microbial Ecology 2023

                Microbiology & Virology
                biogeography,metabolomics,microbial ecology,environmental chemistry,metagenomics

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