Basin-scale biogeography of marine phytoplankton reflects cellular-scale optimization of metabolism and physiology
<jats:p> Extensive microdiversity within <jats:italic>Prochlorococcus</jats:italic> , the most abundant marine cyanobacterium, occurs at scales from a single droplet of seawater to ocean basins. To interpret the structuring role of variations...
| Autori principali: | , , , , , , , , |
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| Natura: | Articolo |
| Lingua: | English |
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American Association for the Advancement of Science (AAAS)
2023
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| Accesso online: | https://hdl.handle.net/1721.1/148084 |
| _version_ | 1826198638895824896 |
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| author | Casey, John R Boiteau, Rene M Engqvist, Martin KM Finkel, Zoe V Li, Gang Liefer, Justin Müller, Christian L Muñoz, Nathalie Follows, Michael J |
| author2 | Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences |
| author_facet | Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences Casey, John R Boiteau, Rene M Engqvist, Martin KM Finkel, Zoe V Li, Gang Liefer, Justin Müller, Christian L Muñoz, Nathalie Follows, Michael J |
| author_sort | Casey, John R |
| collection | MIT |
| description | <jats:p>
Extensive microdiversity within
<jats:italic>Prochlorococcus</jats:italic>
, the most abundant marine cyanobacterium, occurs at scales from a single droplet of seawater to ocean basins. To interpret the structuring role of variations in genetic potential, as well as metabolic and physiological acclimation, we developed a mechanistic constraint-based modeling framework that incorporates the full suite of genes, proteins, metabolic reactions, pigments, and biochemical compositions of 69 sequenced isolates spanning the
<jats:italic>Prochlorococcus</jats:italic>
pangenome. Optimizing each strain to the local, observed physical and chemical environment along an Atlantic Ocean transect, we predicted variations in strain-specific patterns of growth rate, metabolic configuration, and physiological state, defining subtle niche subspaces directly attributable to differences in their encoded metabolic potential. Predicted growth rates covaried with observed ecotype abundances, affirming their significance as a measure of fitness and inferring a nonlinear density dependence of mortality. Our study demonstrates the potential to interpret global-scale ecosystem organization in terms of cellular-scale processes.
</jats:p> |
| first_indexed | 2024-09-23T11:07:54Z |
| format | Article |
| id | mit-1721.1/148084 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T11:07:54Z |
| publishDate | 2023 |
| publisher | American Association for the Advancement of Science (AAAS) |
| record_format | dspace |
| spelling | mit-1721.1/1480842023-02-16T03:32:42Z Basin-scale biogeography of marine phytoplankton reflects cellular-scale optimization of metabolism and physiology Casey, John R Boiteau, Rene M Engqvist, Martin KM Finkel, Zoe V Li, Gang Liefer, Justin Müller, Christian L Muñoz, Nathalie Follows, Michael J Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences <jats:p> Extensive microdiversity within <jats:italic>Prochlorococcus</jats:italic> , the most abundant marine cyanobacterium, occurs at scales from a single droplet of seawater to ocean basins. To interpret the structuring role of variations in genetic potential, as well as metabolic and physiological acclimation, we developed a mechanistic constraint-based modeling framework that incorporates the full suite of genes, proteins, metabolic reactions, pigments, and biochemical compositions of 69 sequenced isolates spanning the <jats:italic>Prochlorococcus</jats:italic> pangenome. Optimizing each strain to the local, observed physical and chemical environment along an Atlantic Ocean transect, we predicted variations in strain-specific patterns of growth rate, metabolic configuration, and physiological state, defining subtle niche subspaces directly attributable to differences in their encoded metabolic potential. Predicted growth rates covaried with observed ecotype abundances, affirming their significance as a measure of fitness and inferring a nonlinear density dependence of mortality. Our study demonstrates the potential to interpret global-scale ecosystem organization in terms of cellular-scale processes. </jats:p> 2023-02-15T19:50:05Z 2023-02-15T19:50:05Z 2022 2023-02-15T19:40:46Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/148084 Casey, John R, Boiteau, Rene M, Engqvist, Martin KM, Finkel, Zoe V, Li, Gang et al. 2022. "Basin-scale biogeography of marine phytoplankton reflects cellular-scale optimization of metabolism and physiology." Science Advances, 8 (3). en 10.1126/SCIADV.ABL4930 Science Advances Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf American Association for the Advancement of Science (AAAS) Science Advances |
| spellingShingle | Casey, John R Boiteau, Rene M Engqvist, Martin KM Finkel, Zoe V Li, Gang Liefer, Justin Müller, Christian L Muñoz, Nathalie Follows, Michael J Basin-scale biogeography of marine phytoplankton reflects cellular-scale optimization of metabolism and physiology |
| title | Basin-scale biogeography of marine phytoplankton reflects cellular-scale optimization of metabolism and physiology |
| title_full | Basin-scale biogeography of marine phytoplankton reflects cellular-scale optimization of metabolism and physiology |
| title_fullStr | Basin-scale biogeography of marine phytoplankton reflects cellular-scale optimization of metabolism and physiology |
| title_full_unstemmed | Basin-scale biogeography of marine phytoplankton reflects cellular-scale optimization of metabolism and physiology |
| title_short | Basin-scale biogeography of marine phytoplankton reflects cellular-scale optimization of metabolism and physiology |
| title_sort | basin scale biogeography of marine phytoplankton reflects cellular scale optimization of metabolism and physiology |
| url | https://hdl.handle.net/1721.1/148084 |
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