Abstract

Microbes (bacteria, phytoplankton) in the ocean are responsible for the copious production of exopolymeric substances (EPS) that include transparent exopolymeric particles. These materials act as a matrix to form marine snow. After the Deepwater Horizon oil spill, marine oil snow (MOS) formed in massive quantities and influenced the fate and transport of oil in the ocean. The processes and pathways of MOS formation require further elucidation to be better understood, in particular we need to better understand how dispersants affect aggregation and degradation of oil. Toward that end, recent work has characterized EPS as a function of microbial community and environmental conditions. We present a conceptual model that incorporates recent findings in our understanding of the driving forces of MOS sedimentation and flocculent accumulation (MOSSFA) including factors that influence the scavenging of oil into MOS and the routes that promote decomposition of the oil post MOS formation. In particular, the model incorporates advances in our understanding of processes that control interactions between oil, dispersant, and EPS in producing either MOS that can sink or dispersed gels promoting microbial degradation of oil compounds. A critical element is the role of protein to carbohydrate ratios (P/C ratios) of EPS in the aggregation process of colloid and particle formation. The P/C ratio of EPS provides a chemical basis for the “stickiness” factor that is used in analytical or numerical simulations of the aggregation process. This factor also provides a relative measure for the strength of attachment of EPS to particle surfaces. Results from recent laboratory experiments demonstrate (i) the rapid formation of microbial assemblages, including their EPS, on oil droplets that is enhanced in the presence of Corexit-dispersed oil, and (ii) the subsequent rapid oil oxidation and microbial degradation in water. These findings, combined with the conceptual model, further improve our understanding of the fate of the sinking MOS (e.g., subsequent sedimentation and preservation/degradation) and expand our ability to predict the behavior and transport of spilled oil in the ocean, and the potential effects of Corexit application, specifically with respect to MOS processes (i.e., formation, fate, and half-lives) and Marine Oil Snow Sedimentation and Flocculent Accumulation.

Highlights

  • One of the significant new insights from the large research effort launched after the Deepwater Horizon (DwH) oil spill in the Gulf of Mexico in 2010 is the information gained on the fate of oil and dispersants as they were transported to the seafloor

  • The term MOSSFA (Marine Oil Snow Sedimentation and Flocculent Accumulation) was coined to describe the combination of biological, chemical and physical processes that lead to the formation and sinking of this marine oil snow (MOS) material and its accumulation on the seafloor (Daly et al, 2016, 2020; Quigg et al, 2016, 2020; Burd et al, 2020)

  • MOSSFA includes the fate of oil and the biochemical signature left in exudates and sediments

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Summary

INTRODUCTION

One of the significant new insights from the large research effort launched after the Deepwater Horizon (DwH) oil spill in the Gulf of Mexico in 2010 is the information gained on the fate of oil and dispersants as they were transported to the seafloor (see e.g., reviews of Daly et al, 2016; Passow and Overton, 2021; Quigg et al, 2021a). In all formulations of marine snow formation, purely physicochemical processes are included in models only in the form of an empirical “stickiness” parameter (α) that takes a value between 0 and 1 This is usually regarded as a constant and depends on the amount of EPS particles (Passow, 2002). We have suggested that α should be a function of the protein-to-carbohydrate ratio (θ) of the EPS which is in turn a function of microbial biomass and the concentration of oil and dispersant (Quigg et al, 2016; Santschi, 2018; Xu et al, 2019; Chen et al, 2020; Santschi et al, 2020) This modification will explicitly incorporate important biological and chemical contributions into the coagulation models so that the aggregation rate between particles becomes: Rij = α (θ) βijCiCj (2). Additional studies would be invaluable to collecting data which could be used to develop flux measures between compartments and the development of models to examine the fate of hydrocarbons

What Are the General Characteristics of EPS?
Findings
How Do Microbes Respond to Oil and Dispersants?
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