Global mesozooplankton communities show lower connectivity in deep
oceanic layers
- Oriol Canals,
- Jon Corell,
- Ernesto Villarino ,
- Guillem Chust,
- Eva Aylagas Martínez,
- Iñaki Mendibil,
- Craig Michell,
- Nacho Gonzalez-Gordillo,
- Xabier Irigoien,
- Naiara Rodriguez-Ezpeleta
Craig Michell
King Abdullah University of Science and Technology
Author ProfileNaiara Rodriguez-Ezpeleta
AZTI
Corresponding Author:nrodriguez@azti.es
Author ProfileAbstract
Mesozooplankton is a key component of the ocean, regulating global
processes such as the carbon pump, and ensuring energy transfer from
lower to higher trophic levels. Yet, despite the importance of
understanding mesozooplankton diversity, distribution and connectivity
at global scale to predict the impact of climate change in marine
ecosystems, there is still fragmented knowledge. To fill this gap, we
applied DNA metabarcoding to mesozooplankton samples collected during
the Malaspina-2010 circumnavigation expedition across temperate and
tropical oceans from the surface to bathypelagic depths. By conducting a
hidden diversity analysis, we highlight the still scarce knowledge on
global mesozooplankton diversity and identify the Indian Ocean and the
deep sea as the most understudied areas. By analysing mesozooplankton
community spatial distribution, we confirm global biogeographical
patterns across the temperate to tropical oceans both in the vertical
and horizontal gradients. Additionally, we reveal a consistent increase
in mesozooplankton beta-diversity with depth, indicating reduced
connectivity at deeper layers, and identify a water mass type-mediated
structuring of bathypelagic communities, instead of an oceanic
basin-mediated as observed at upper layers. This suggests limited
dispersal at deep ocean layers, most likely due to weaker currents and
lower mixing of water mass types. Overall, our work supports the neutral
theory of biodiversity and thus the importance of oceanic currents and
barriers in dispersal in shaping global plankton communities, and
provides key knowledge for predicting the impact of climate change in
the deep-sea.30 Mar 2023Submitted to Molecular Ecology 03 Apr 2023Submission Checks Completed
03 Apr 2023Assigned to Editor
03 Apr 2023Review(s) Completed, Editorial Evaluation Pending
13 Apr 2023Reviewer(s) Assigned
10 Aug 2023Editorial Decision: Revise Minor
06 Oct 20231st Revision Received
09 Oct 2023Submission Checks Completed
09 Oct 2023Assigned to Editor
09 Oct 2023Review(s) Completed, Editorial Evaluation Pending