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Journal article

Hydrodynamics of microbial filter feeding

From

National Institute of Aquatic Resources, Technical University of Denmark1

Centre for Ocean Life, National Institute of Aquatic Resources, Technical University of Denmark2

Department of Mechanical Engineering, Technical University of Denmark3

Fluid Mechanics, Coastal and Maritime Engineering, Department of Mechanical Engineering, Technical University of Denmark4

Department of Physics, Technical University of Denmark5

Biophysics and Fluids, Department of Physics, Technical University of Denmark6

Microbial filter feeders are an important group of grazers, significant to the microbial loop, aquatic food webs, and biogeochemical cycling. Our understanding of microbial filter feeding is poor, and, importantly, it is unknown what force microbial filter feeders must generate to process adequate amounts of water.

Also, the trade-off in the filter spacing remains unexplored, despite its simple formulation: A filter too coarse will allow suitably sized prey to pass unintercepted, whereas a filter too fine will cause strong flow resistance. We quantify the feeding flow of the filter-feeding choanoflagellate Diaphanoeca grandis using particle tracking, and demonstrate that the current understanding of microbial filter feeding is inconsistent with computational fluid dynamics (CFD) and analytical estimates.

Both approaches underestimate observed filtration rates by more than an order of magnitude; the beating flagellum is simply unable to draw enough water through the fine filter. We find similar discrepancies for other choanoflagellate species, highlighting an apparent paradox. Our observations motivate us to suggest a radically different filtration mechanism that requires a flagellar vane (sheet), something notoriously difficult to visualize but sporadically observed in the related choanocytes (sponges).

A CFD model with a flagellar vane correctly predicts the filtration rate of D. grandis, and using a simple model we can account for the filtration rates of other microbial filter feeders. We finally predict how optimum filter mesh size increases with cell size in microbial filter feeders, a prediction that accords very well with observations.

We expect our results to be of significance for small-scale biophysics and trait-based ecological modeling.

Language: English
Publisher: National Academy of Sciences
Year: 2017
Pages: 9373-9378
ISSN: 10916490 and 00278424
Types: Journal article
DOI: 10.1073/pnas.1708873114
ORCIDs: Nielsen, Lasse Tor , Kiørboe, Thomas , Asadzadeh, Seyed Saeed , Walther, Jens Honore and Andersen, Anders Peter

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