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Constrained optimal foraging by marine bacterioplankton on particulate organic matter

Optimal foraging theory provides a framework to understand how organisms balance the benefits of harvesting resources within a patch with the sum of the metabolic, predation, and missed opportunity costs of foraging. Here, we show that, after accounting for the limited environmental information avai...

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Autores principales: Yawata, Yutaka, Carrara, Francesco, Menolascina, Filippo, Stocker, Roman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7568300/
https://www.ncbi.nlm.nih.gov/pubmed/32973087
http://dx.doi.org/10.1073/pnas.2012443117
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author Yawata, Yutaka
Carrara, Francesco
Menolascina, Filippo
Stocker, Roman
author_facet Yawata, Yutaka
Carrara, Francesco
Menolascina, Filippo
Stocker, Roman
author_sort Yawata, Yutaka
collection PubMed
description Optimal foraging theory provides a framework to understand how organisms balance the benefits of harvesting resources within a patch with the sum of the metabolic, predation, and missed opportunity costs of foraging. Here, we show that, after accounting for the limited environmental information available to microorganisms, optimal foraging theory and, in particular, patch use theory also applies to the behavior of marine bacteria in particle seascapes. Combining modeling and experiments, we find that the marine bacterium Vibrio ordalii optimizes nutrient uptake by rapidly switching between attached and planktonic lifestyles, departing particles when their nutrient concentration is more than hundredfold higher than background. In accordance with predictions from patch use theory, single-cell tracking reveals that bacteria spend less time on nutrient-poor particles and on particles within environments that are rich or in which the travel time between particles is smaller, indicating that bacteria tune the nutrient concentration at detachment to increase their fitness. A mathematical model shows that the observed behavioral switching between exploitation and dispersal is consistent with foraging optimality under limited information, namely, the ability to assess the harvest rate of nutrients leaking from particles by molecular diffusion. This work demonstrates how fundamental principles in behavioral ecology traditionally applied to animals can hold right down to the scale of microorganisms and highlights the exquisite adaptations of marine bacterial foraging. The present study thus provides a blueprint for a mechanistic understanding of bacterial uptake of dissolved organic matter and bacterial production in the ocean—processes that are fundamental to the global carbon cycle.
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spelling pubmed-75683002020-10-27 Constrained optimal foraging by marine bacterioplankton on particulate organic matter Yawata, Yutaka Carrara, Francesco Menolascina, Filippo Stocker, Roman Proc Natl Acad Sci U S A Biological Sciences Optimal foraging theory provides a framework to understand how organisms balance the benefits of harvesting resources within a patch with the sum of the metabolic, predation, and missed opportunity costs of foraging. Here, we show that, after accounting for the limited environmental information available to microorganisms, optimal foraging theory and, in particular, patch use theory also applies to the behavior of marine bacteria in particle seascapes. Combining modeling and experiments, we find that the marine bacterium Vibrio ordalii optimizes nutrient uptake by rapidly switching between attached and planktonic lifestyles, departing particles when their nutrient concentration is more than hundredfold higher than background. In accordance with predictions from patch use theory, single-cell tracking reveals that bacteria spend less time on nutrient-poor particles and on particles within environments that are rich or in which the travel time between particles is smaller, indicating that bacteria tune the nutrient concentration at detachment to increase their fitness. A mathematical model shows that the observed behavioral switching between exploitation and dispersal is consistent with foraging optimality under limited information, namely, the ability to assess the harvest rate of nutrients leaking from particles by molecular diffusion. This work demonstrates how fundamental principles in behavioral ecology traditionally applied to animals can hold right down to the scale of microorganisms and highlights the exquisite adaptations of marine bacterial foraging. The present study thus provides a blueprint for a mechanistic understanding of bacterial uptake of dissolved organic matter and bacterial production in the ocean—processes that are fundamental to the global carbon cycle. National Academy of Sciences 2020-10-13 2020-09-24 /pmc/articles/PMC7568300/ /pubmed/32973087 http://dx.doi.org/10.1073/pnas.2012443117 Text en Copyright © 2020 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Biological Sciences
Yawata, Yutaka
Carrara, Francesco
Menolascina, Filippo
Stocker, Roman
Constrained optimal foraging by marine bacterioplankton on particulate organic matter
title Constrained optimal foraging by marine bacterioplankton on particulate organic matter
title_full Constrained optimal foraging by marine bacterioplankton on particulate organic matter
title_fullStr Constrained optimal foraging by marine bacterioplankton on particulate organic matter
title_full_unstemmed Constrained optimal foraging by marine bacterioplankton on particulate organic matter
title_short Constrained optimal foraging by marine bacterioplankton on particulate organic matter
title_sort constrained optimal foraging by marine bacterioplankton on particulate organic matter
topic Biological Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7568300/
https://www.ncbi.nlm.nih.gov/pubmed/32973087
http://dx.doi.org/10.1073/pnas.2012443117
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