Disentangling top-down drivers of mortality underlying diel population dynamics of Prochlorococcus in the North Pacific Subtropical Gyre

Beckett, Stephen J.; Demory, David; Coenen, Ashley R.; Casey, John R.; Dugenne, Mathilde; Follett, Christopher L.; Connell, Paige; Carlson, Michael C. G.; Hu, Sarah K.; Wilson, Samuel T.; Muratore, Daniel; Rodriguez-Gonzalez, Rogelio A.; Peng, Shengyun; Becker, Kevin W.; Mende, Daniel R.; Armbrust, E. Virginia; Caron, David A.; Lindell, Debbie; White, Angelicque E.; Ribalet, François; Weitz, Joshua S.

doi:10.1038/s41467-024-46165-3

Title: Disentangling top-down drivers of mortality underlying diel population dynamics of Prochlorococcus in the North Pacific Subtropical Gyre

Journal Article · 06 March 2024 · Nature Communications

DOI: https://doi.org/10.1038/s41467-024-46165-3 · OSTI ID:2325235

^[1];

^[2]; Coenen, Ashley R. ^[3]; Casey, John R. ^[4]; Dugenne, Mathilde ^[5];

^[6]; Connell, Paige ^[7];

^[8]; Hu, Sarah K. ^[9]; Wilson, Samuel T. ^[10];

^[11]; Rodriguez-Gonzalez, Rogelio A. ^[3]; Peng, Shengyun ^[12];

^[13]; Mende, Daniel R. ^[14];

^[15]; Caron, David A. ^[16];

^[17];

^[18];

^[15] more »

Georgia Institute of Technology, Atlanta, GA (United States); Univ. of Maryland, College Park, MD (United States)
Georgia Institute of Technology, Atlanta, GA (United States); Sorbonne Univ., Paris (France); Centre National de la Recherche Scientifique (CNRS), Banyuls-sur-Mer (France)
Georgia Institute of Technology, Atlanta, GA (United States)
Univ. of Hawaii at Manoa, Honolulu, HI (United States); Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States); Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Univ. of Hawaii at Manoa, Honolulu, HI (United States); Sorbonne Univ., Paris (France); Centre National de la Recherche Scientifique (CNRS), Villefranche-sur-Mer (France)
Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States); Univ. of Liverpool (United Kingdom)
Univ. of Southern California, Los Angeles, CA (United States); San Diego Mesa College, CA (United States)
Technion-Israel Institute of Technology, Haifa (Israel); California State Univ. (CalState), Long Beach, CA (United States)
Univ. of Southern California, Los Angeles, CA (United States); Woods Hole Oceanographic Institution, MA (United States); Texas A & M Univ., College Station, TX (United States)
Univ. of Hawaii at Manoa, Honolulu, HI (United States); Newcastle University, Newcastle upon Tyne (United Kingdom)
Georgia Institute of Technology, Atlanta, GA (United States); Santa Fe Inst. (SFI), Santa Fe, NM (United States)
Georgia Institute of Technology, Atlanta, GA (United States); Adobe, San Jose, CA (United States)
Woods Hole Oceanographic Institution, MA (United States); GEOMAR Helmholtz Centre for Ocean Research, Kiel (Germany)
Univ. of Hawaii at Manoa, Honolulu, HI (United States); Univ. of Amsterdam (Netherlands)
Univ. of Washington, Seattle, WA (United States)
Univ. of Southern California, Los Angeles, CA (United States)
Technion-Israel Institute of Technology, Haifa (Israel)
Univ. of Hawaii at Manoa, Honolulu, HI (United States)
Georgia Institute of Technology, Atlanta, GA (United States); Univ. of Maryland, College Park, MD (United States); École Normale Supérieure, Paris (France)

Photosynthesis fuels primary production at the base of marine food webs. Yet, in many surface ocean ecosystems, diel-driven primary production is tightly coupled to daily loss. This tight coupling raises the question: which top-down drivers predominate in maintaining persistently stable picocyanobacterial populations over longer time scales? Motivated by high-frequency surface water measurements taken in the North Pacific Subtropical Gyre (NPSG), we developed multitrophic models to investigate bottom-up and top-down mechanisms underlying the balanced control of Prochlorococcus populations. Here, we find that incorporating photosynthetic growth with viral- and predator-induced mortality is sufficient to recapitulate daily oscillations of Prochlorococcus abundances with baseline community abundances. In doing so, we infer that grazers in this environment function as the predominant top-down factor despite high standing viral particle densities. The model-data fits also reveal the ecological relevance of light-dependent viral traits and non-canonical factors to cellular loss. Finally, we leverage sensitivity analyses to demonstrate how variation in life history traits across distinct oceanic contexts, including variation in viral adsorption and grazer clearance rates, can transform the quantitative and even qualitative importance of top-down controls in shaping Prochlorococcus population dynamics.

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Research Organization:: Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA); Simons Foundation

Grant/Contract Number:: AC52-07NA27344

OSTI ID:: 2325235

Report Number(s):: LLNL--JRNL-859343; 1090060

Journal Information:: Nature Communications, Journal Name: Nature Communications Journal Issue: 1 Vol. 15; ISSN 2041-1723

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United States

Language:: English

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