Collective Pulsing in Xeniid Corals: Part I-Using Computer Vision and Information Theory to Search for Coordination.


Journal

Bulletin of mathematical biology
ISSN: 1522-9602
Titre abrégé: Bull Math Biol
Pays: United States
ID NLM: 0401404

Informations de publication

Date de publication:
07 07 2020
Historique:
received: 30 09 2019
accepted: 04 06 2020
entrez: 9 7 2020
pubmed: 9 7 2020
medline: 31 7 2021
Statut: epublish

Résumé

Xeniid corals (Cnidaria: Alcyonacea), a family of soft corals, include species displaying a characteristic pulsing behavior. This behavior has been shown to increase oxygen diffusion away from the coral tissue, resulting in higher photosynthetic rates from mutualistic symbionts. Maintaining such a pulsing behavior comes at a high energetic cost, and it has been proposed that coordinating the pulse of individual polyps within a colony might enhance the efficiency of fluid transport. In this paper, we test whether patterns of collective pulsing emerge in coral colonies and investigate possible interactions between polyps within a colony. We video recorded different colonies of Heteroxenia sp. in a laboratory environment. Our methodology is based on the systematic integration of a computer vision algorithm (ISOMAP) and an information-theoretic approach (transfer entropy), offering a vantage point to assess coordination in collective pulsing. Perhaps surprisingly, we did not detect any form of collective pulsing behavior in the colonies. Using artificial data sets, however, we do demonstrate that our methodology is capable of detecting even weak information transfer. The lack of a coordination is consistent with previous work on many cnidarians where coordination between actively pulsing polyps and medusa has not been observed. In our companion paper, we show that there is no fluid dynamic benefit of coordinated pulsing, supporting this result. The lack of coordination coupled with no obvious fluid dynamic benefit to grouping suggests that there may be non-fluid mechanical advantages to forming colonies, such as predator avoidance and defense.

Identifiants

pubmed: 32638174
doi: 10.1007/s11538-020-00759-2
pii: 10.1007/s11538-020-00759-2
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

90

Subventions

Organisme : National Science Foundation
ID : 1638521
Pays : International
Organisme : National Science Foundation
ID : 1504777
Pays : International

Auteurs

Julia E Samson (JE)

Biology Department, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Department of Collective Behaviour, Max Planck Institute of Animal Behavior, Constance, Germany.
Chair of Biodiversity and Collective Behaviour, Department of Biology, University of Konstanz, Constance, Germany.
Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Constance, Germany.

Dylan D Ray (DD)

Department of Mathematics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Maurizio Porfiri (M)

Department of Mechanical and Aerospace Engineering and Department of Biomedical Engineering, New York University, Tandon School of Engineering, Brooklyn, NY, USA.

Laura A Miller (LA)

Biology Department, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Department of Mathematics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Simon Garnier (S)

Department of Biological Sciences, New Jersey Institute of Technology, Newark, NJ, USA. garnier@njit.edu.

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Classifications MeSH