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DOI10.1073/pnas.1917277117
Microbial feedbacks optimize ocean iron availability
Lauderdale J.M.; Braakman R.; Forget G.; Dutkiewicz S.; Follows M.J.
发表日期2020
ISSN0027-8424
起始页码4842
结束页码4849
卷号117期号:9
英文摘要Iron is the limiting factor for biological production over a large fraction of the surface ocean because free iron is rapidly scavenged or precipitated under aerobic conditions. Standing stocks of dissolved iron are maintained by association with organic molecules (ligands) produced by biological processes. We hypothesize a positive feedback between iron cycling, microbial activity, and ligand abundance: External iron input fuels microbial production, creating organic ligands that support more iron in seawater, leading to further macronutrient consumption until other microbial requirements such as macronutrients or light become limiting, and additional iron no longer increases productivity. This feedback emerges in numerical simulations of the coupled marine cycles of macronutrients and iron that resolve the dynamic microbial production and loss of iron-chelating ligands. The model solutions resemble modern nutrient distributions only over a finite range of prescribed ligand source/sink ratios where the model ocean is driven to global-scale colimitation by micronutrients and macronutrients and global production is maximized. We hypothesize that a global-scale selection for microbial lig- and cycling may have occurred to maintain “just enough” iron in the ocean. © 2020 National Academy of Sciences. All rights reserved.
英文关键词Colimitation; Dissolved iron; Macronutrients; Ocean productivity; Organic ligands
语种英语
scopus关键词iron; ligand; sea water; trace element; ferric ion; iron; iron chelating agent; sea water; siderophore; Article; biogeochemical cycling; controlled study; iron cycling; ligand binding; macronutrient; marine environment; metal binding; microbial activity; nonhuman; positive feedback; priority journal; sea; simulation; source sink relationship; bacterium; biological model; chemistry; computer simulation; cyanobacterium; feedback system; metabolism; microbiology; photochemistry; Bacteria; Computer Simulation; Cyanobacteria; Feedback; Ferric Compounds; Iron; Iron Chelating Agents; Ligands; Micronutrients; Models, Biological; Nutrients; Oceans and Seas; Photochemistry; Seawater; Siderophores; Water Microbiology
来源期刊Proceedings of the National Academy of Sciences of the United States of America
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/160316
作者单位Lauderdale, J.M., Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, United States; Braakman, R., Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, United States, Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, United States; Forget, G., Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, United States; Dutkiewicz, S., Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, United States, Center for Global Change Science, Massachusetts Institute of Technology, Cambridge, MA 02139, United States; Follows, M.J., Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, United States, Department of Civil and Environmental Engin...
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Lauderdale J.M.,Braakman R.,Forget G.,et al. Microbial feedbacks optimize ocean iron availability[J],2020,117(9).
APA Lauderdale J.M.,Braakman R.,Forget G.,Dutkiewicz S.,&Follows M.J..(2020).Microbial feedbacks optimize ocean iron availability.Proceedings of the National Academy of Sciences of the United States of America,117(9).
MLA Lauderdale J.M.,et al."Microbial feedbacks optimize ocean iron availability".Proceedings of the National Academy of Sciences of the United States of America 117.9(2020).
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