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Global dispersal of macroalgae-derived recalcitrant DOC may substantially contribute to deep-ocean carbon storage.

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Τίτλος: Global dispersal of macroalgae-derived recalcitrant DOC may substantially contribute to deep-ocean carbon storage.
Συγγραφείς: Feng X; State Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, China.; University of Chinese Academy of Sciences, Beijing, China., Nair S; State Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, China., Hancke K; Norwegian Institute for Water Research, Oslo, Norway., Lønborg C; Section for Marine Diversity and Experimental Ecology, Department of Ecoscience, Aarhus University, Roskilde, Denmark., Li H; State Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, China.; University of Chinese Academy of Sciences, Beijing, China., Zhang Z; State Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, China.; University of Chinese Academy of Sciences, Beijing, China., Zheng Q; Institute of Marine Microbes and Ecospheres, Xiamen University, Xiamen, China., He C; State Key Laboratory of Heavy Oil Processing, China University of Petroleum (Beijing), Beijing, China., Shi Q; State Key Laboratory of Heavy Oil Processing, China University of Petroleum (Beijing), Beijing, China., Li X; The State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, China., Bellerby R; Norwegian Institute for Water Research, Bergen, Norway., Jiao N; Institute of Marine Microbes and Ecospheres, Xiamen University, Xiamen, China., Zhang Y; State Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, China.; University of Chinese Academy of Sciences, Beijing, China.
Πηγή: Science advances [Sci Adv] 2026 Sep 25; Vol. 12 (39), pp. eaeg3815. Date of Electronic Publication: 2026 Sep 23.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: American Association for the Advancement of Science Country of Publication: United States NLM ID: 101653440 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2375-2548 (Electronic) Linking ISSN: 23752548 NLM ISO Abbreviation: Sci Adv Subsets: MEDLINE
Imprint Name(s): Original Publication: Washington, DC : American Association for the Advancement of Science, [2015]-
Ιατρικοί όροι (MeSH): Seaweed*/metabolism , Seaweed*/chemistry , Carbon*/metabolism , Carbon*/chemistry , Dissolved Organic Matter*/analysis , Dissolved Organic Matter*/chemistry , Oceans and Seas* , Carbon Sequestration*, Kelp/metabolism ; Ecosystem
Περίληψη: Macroalgae, the dominant primary producers of Earth's most productive coastal vegetated ecosystems and a vital component driving ocean carbon sequestration, produce ∼5 to 80% of their net primary productivity as dissolved organic carbon (DOC). However, the global extent, fate, and contribution of this macroalgae-derived DOC to the pelagic carbon pool remain poorly understood. We establish a molecular fingerprint of the dominant coastal macroalga Saccharina japonica-derived DOC (kelp-derived DOC) using ultrahigh-resolution mass spectrometry and conservative filtering. We differentiate the kelp-derived DOC into labile (LDOC) and recalcitrant fractions (RDOC) based on prolonged resistance to microbial degradation, identify discriminating molecular traits through machine learning, and integrate them into a stability metric, molecular recalcitrance score (MRS). Both candidate kelp-associated RDOC signals and the more persistent, semilabile subset of candidate kelp-associated LDOC signals are detected throughout the global ocean, as far as ∼10,000 kilometers from kelp ecosystems and at depths of ∼5500 meters. Detected candidate kelp-associated DOC signals exhibit elevated MRS, with values positively correlated with distance from source regions, indicating selective long-distance transport of intrinsically more stable compounds. We preliminarily estimate that coastal macroalgal ecosystems globally may contribute 320.7 to 481.1 teragrams of carbon per year of RDOC. The detection of candidate kelp-associated RDOC signals throughout the global ocean provides molecular-level evidence of the long-distance export of macroalgae-derived RDOC to the pelagic and deep ocean, highlighting a major, previously unrecognized pathway of long-term storage of macroalgae-derived DOC in global oceans, although the precise fraction exported to the deep ocean remains to be quantified.
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Substance Nomenclature: 7440-44-0 (Carbon)
0 (Dissolved Organic Matter)
Entry Date(s): Date Created: 20260923 Date Completed: 20260923 Latest Revision: 20260925
Update Code: 20260925
PubMed Central ID: PMC13600246
DOI: 10.1126/sciadv.aeg3815
PMID: 42777052
Βάση Δεδομένων: MEDLINE
Περιγραφή
ISSN:2375-2548
DOI:10.1126/sciadv.aeg3815