Zakem, E. J. | Search bioRxiv

bioRxiv2024

Predictable functional biogeography of marine microbial heterotrophs

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.

ecology↗

bioRxiv2019

Hitting a moving target: Microbial evolutionary strategies in a dynamic ocean

Marine microbes form the base of ocean food webs and drive ocean biogeochemical cycling. Yet little is known about how microbial populations will evolve due to global change-driven shifts in ocean dynamics. Understanding adaptive timescales is critical where long-term trends (e.g. warming) are coupled to shorter-term advection dynamics that move organisms rapidly between ecoregions. Here we investigated the interplay between physical and biological timescales using a model of adaptation and an eddy-resolving ocean circulation climate model. Two criteria ( and {beta}) were identified that relate physical and biological timescales and determine the timing and nature of adaptation. Genetic adaptation was impeded in highly variable regimes (<1) but promoted in more stable environments (>1). An evolutionary trade-off emerged where greater short-term transgenerational effects (low-{beta}-strategy) enabled rapid responses to environmental fluctuations but delayed genetic adaptation, while fewer short-term transgenerational effects (high-{beta}-strategy) allowed faster genetic adaptation but inhibited short-term responses. Our results suggest that organisms with faster growth rates are better positioned to adapt to rapidly changing ocean conditions and that more variable environments will favor a bet-hedging, low-{beta}-strategy. Understanding the relationship between evolutionary and physical timescales is critical for robust predictions of future microbial dynamics.

evolutionary biology↗