Predictable functional biogeography of marine microbial heterotrophs

Zakem, E. J.; McNichol, J.; Weissman, J. L.; Raut, Y.; Xu, L.; Halewood, E. R.; Carlson, C. A.; Dutkiewicz, S.; Fuhrman, J. A.; Levine, N. M.

doi:10.1101/2024.02.14.580411

bioRxiv · 10.1101/2024.02.14.580411

Predictable functional biogeography of marine microbial heterotrophs

Zakem, E. J.·McNichol, J.·Weissman, J. L.·Raut, Y.·Xu, L.·Halewood, E. R.·Carlson, C. A.·Dutkiewicz, S.·Fuhrman, J. A.·Levine, N. M.

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Abstract

Heterotrophic bacteria and archaea ( heteroprokaryotes) drive global carbon cycling, but how to quantitatively organize their functional complexity remains unclear. We generated a global-scale understanding of marine heteroprokaryotic functional biogeography by synthesizing genetic sequencing data with a mechanistic marine ecosystem model. We incorporated heteroprokaryotic diversity into the trait-based model along two axes: substrate lability and growth strategy. Using genetic sequences along three ocean transects, we compiled 21 heteroprokaryotic guilds and estimated their degree of optimization for rapid growth (copiotrophy). Data and model consistency indicated that gradients in grazing and substrate lability predominantly set biogeographical patterns, and identified deep-ocean slow copiotrophs whose ecological interactions control the surface accumulation of dissolved organic carbon.

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Zakem, E. J., McNichol, J., Weissman, J. L., Raut, Y., Xu, L., Halewood, E. R., Carlson, C. A., Dutkiewicz, S., Fuhrman, J. A., Levine, N. M.. 2024-02-15. Predictable functional biogeography of marine microbial heterotrophs. https://doi.org/10.1101/2024.02.14.580411

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