Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Viruses of the eukaryotic plankton are predicted to increase carbon export efficiency in the global sunlit ocean

Romain Blanc-Mathieu, Hiroto Kaneko, Hisashi Endo, Samuel Chaffron, Rodrigo Hernández-Velázquez, Canh Hao Nguyen, Hiroshi Mamitsuka, Nicolas Henry, Colomban de Vargas, Matthew B. Sullivan, View ORCID ProfileCurtis A. Suttle, Lionel Guidi, Hiroyuki Ogata
doi: https://doi.org/10.1101/710228
Romain Blanc-Mathieu
1Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto 611-0011, Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hiroto Kaneko
1Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto 611-0011, Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hisashi Endo
1Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto 611-0011, Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Samuel Chaffron
2Université de Nantes, Centrale Nantes, CNRS - UMR 6004, LS2N, Nantes, France
3Research Federation (FR2022) Tara Oceans GO-SEE, Paris, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Rodrigo Hernández-Velázquez
1Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto 611-0011, Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Canh Hao Nguyen
1Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto 611-0011, Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hiroshi Mamitsuka
1Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto 611-0011, Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nicolas Henry
4Sorbonne Universités, UPMC Université Paris 06, CNRS, Laboratoire Adaptation et Diversité en Milieu Marin, Station Biologique de Roscoff, 29680 Roscoff, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Colomban de Vargas
4Sorbonne Universités, UPMC Université Paris 06, CNRS, Laboratoire Adaptation et Diversité en Milieu Marin, Station Biologique de Roscoff, 29680 Roscoff, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Matthew B. Sullivan
5Department of Microbiology and Department of Civil, Environmental and Geodetic Engineering, Ohio State University, Columbus, OH, United States of America
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Curtis A. Suttle
6Departments of Earth, Ocean & Atmospheric Sciences, Microbiology & Immunology, and Botany, and the Institute for the Oceans and Fisheries, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Curtis A. Suttle
Lionel Guidi
7Sorbonne Université, CNRS, Laboratoire d’Océanographie de Villefanche, LOV, F-06230 Villefranche-sur-mer, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hiroyuki Ogata
1Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto 611-0011, Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: ogata@kuicr.kyoto-u.ac.jp
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Data/Code
  • Preview PDF
Loading

Abstract

The biological carbon pump (BCP) is the process by which ocean organisms transfer carbon from surface waters to the ocean interior and seafloor sediments for sequestration. Viruses are thought to increase the efficiency of the BCP by fostering primary production and facilitating the export of carbon-enriched materials in the deep sea (the viral “shunt and pump”). A prior study using an oligotrophic ocean-dominated dataset from the Tara Oceans expedition revealed that bacterial dsDNA viruses are better associated with variation in carbon export than either prokaryotes or eukaryotes, but eukaryotic viruses were not examined. Because eukaryotes contribute significantly to ocean biomass and net production (> 40%), their viruses might also play a role in the BCP. Here, we leveraged deep-sequencing molecular data generated in the framework of Tara Oceans to identify and quantify diverse lineages of large dsDNA and smaller RNA viruses of eukaryotes. We found that the abundance of these viruses explained 49% of the variation in carbon export (compared with 89% by bacterial dsDNA viruses) and also substantially explained the variation in net primary production (76%) and carbon export efficiency (50%). Prasinoviruses infecting Mamiellales as well as Mimivirus relatives putatively infecting haptophytes are among the eukaryotic virus lineages predicted to be the best contributors to BCP efficiency. These findings collectively provide a first-level window into how eukaryotic viruses impact the BCP and suggest that the virus-mediated shunt and pump indeed plays a role.

Footnotes

  • ftp://ftp.genome.jp/pub/db/community/tara/Cpump/

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
Back to top
PreviousNext
Posted July 22, 2019.
Download PDF

Supplementary Material

Data/Code
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Viruses of the eukaryotic plankton are predicted to increase carbon export efficiency in the global sunlit ocean
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Viruses of the eukaryotic plankton are predicted to increase carbon export efficiency in the global sunlit ocean
Romain Blanc-Mathieu, Hiroto Kaneko, Hisashi Endo, Samuel Chaffron, Rodrigo Hernández-Velázquez, Canh Hao Nguyen, Hiroshi Mamitsuka, Nicolas Henry, Colomban de Vargas, Matthew B. Sullivan, Curtis A. Suttle, Lionel Guidi, Hiroyuki Ogata
bioRxiv 710228; doi: https://doi.org/10.1101/710228
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Viruses of the eukaryotic plankton are predicted to increase carbon export efficiency in the global sunlit ocean
Romain Blanc-Mathieu, Hiroto Kaneko, Hisashi Endo, Samuel Chaffron, Rodrigo Hernández-Velázquez, Canh Hao Nguyen, Hiroshi Mamitsuka, Nicolas Henry, Colomban de Vargas, Matthew B. Sullivan, Curtis A. Suttle, Lionel Guidi, Hiroyuki Ogata
bioRxiv 710228; doi: https://doi.org/10.1101/710228

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Ecology
Subject Areas
All Articles
  • Animal Behavior and Cognition (3579)
  • Biochemistry (7523)
  • Bioengineering (5486)
  • Bioinformatics (20699)
  • Biophysics (10260)
  • Cancer Biology (7939)
  • Cell Biology (11584)
  • Clinical Trials (138)
  • Developmental Biology (6573)
  • Ecology (10144)
  • Epidemiology (2065)
  • Evolutionary Biology (13552)
  • Genetics (9502)
  • Genomics (12794)
  • Immunology (7887)
  • Microbiology (19456)
  • Molecular Biology (7618)
  • Neuroscience (41916)
  • Paleontology (307)
  • Pathology (1253)
  • Pharmacology and Toxicology (2181)
  • Physiology (3253)
  • Plant Biology (7010)
  • Scientific Communication and Education (1291)
  • Synthetic Biology (1942)
  • Systems Biology (5410)
  • Zoology (1108)