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Global distribution patterns of marine nitrogen-fixers by imaging and molecular methods
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Number of Authors: 152021 (English)In: Nature Communications, E-ISSN 2041-1723, Vol. 12, no 1, article id 4160Article in journal (Refereed) Published
Abstract [en]

Nitrogen fixation has a critical role in marine primary production, yet our understanding of marine nitrogen-fixers (diazotrophs) is hindered by limited observations. Here, we report a quantitative image analysis pipeline combined with mapping of molecular markers for mining >2,000,000 images and >1300 metagenomes from surface, deep chlorophyll maximum and mesopelagic seawater samples across 6 size fractions (<0.2-2000<mu>m). We use this approach to characterise the diversity, abundance, biovolume and distribution of symbiotic, colony-forming and particle-associated diazotrophs at a global scale. We show that imaging and PCR-free molecular data are congruent. Sequence reads indicate diazotrophs are detected from the ultrasmall bacterioplankton (<0.2<mu>m) to mesoplankton (180-2000 mu m) communities, while images predict numerous symbiotic and colony-forming diazotrophs (>20 mu m). Using imaging and molecular data, we estimate that polyploidy can substantially affect gene abundances of symbiotic versus colony-forming diazotrophs. Our results support the canonical view that larger diazotrophs (>10 mu m) dominate the tropical belts, while unicellular cyanobacterial and non-cyanobacterial diazotrophs are globally distributed in surface and mesopelagic layers. We describe co-occurring diazotrophic lineages of different lifestyles and identify high-density regions of diazotrophs in the global ocean. Overall, we provide an update of marine diazotroph biogeographical diversity and present a new bioimaging-bioinformatic workflow. Nitrogen fixation by diazotrophs is critical for marine primary production. Using Tara Oceans datasets, this study combines a quantitative image analysis pipeline with metagenomic mining to provide an improved global overview of diazotroph abundance, diversity and distribution.

Place, publisher, year, edition, pages
2021. Vol. 12, no 1, article id 4160
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Biological Sciences
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URN: urn:nbn:se:su:diva-197330DOI: 10.1038/s41467-021-24299-yISI: 000672715200006PubMedID: 34230473OAI: oai:DiVA.org:su-197330DiVA, id: diva2:1599610
Available from: 2021-10-01 Created: 2021-10-01 Last updated: 2023-03-28Bibliographically approved

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Pierella Karlusich, Juan JoséFoster, Rachel A.

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