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Cell Reports
Article . 2026 . Peer-reviewed
License: CC BY
Data sources: Crossref
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https://dx.doi.org/10.48620/99...
Other literature type . 2026
Data sources: Datacite
MPG.PuRe
Article . 2026
Data sources: MPG.PuRe
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Synthetic ecology of coastal ecosystems

Authors: Qian, Lu; Su, Ruilin; Wang, Wenbo; Yan, Bozhi; Qiu, Lan; Zhao, Zhenrui; Yang, Xinlei; +16 Authors

Synthetic ecology of coastal ecosystems

Abstract

Coastal ecosystems play critical roles in biogeochemical cycling, food webs, climate regulation, and aquaculture. Their functions are shaped by multitrophic interactions across microbe-microbe, microbe-plant, and microbe-animal interfaces, yet our understanding of the underlying mechanisms remains limited. Synthetic ecology offers a promising approach to disentangle such interactions using simplified and controllable synthetic communities (SynComs). Here, we review microbe-plant-animal interactions toward ecosystem function improvements and provide a biological foundation for SynCom design. We further propose a framework for coastal synthetic ecology, including SynCom design and construction, experimental validation of SynCom functions, and laboratory scaling-up and field applications with a focus on greenhouse gas reduction, carbon sequestration, and pollutant degradation. Finally, we discuss future directions for coastal synthetic ecology, with a focus on biogeochemical cycling, food web structure and function, and biological stoichiometry. Overall, this review highlights the potential of SynComs to address environmental and ecological challenges in coastal ecosystems.

Country
Switzerland
Keywords

microbe/plant/animal -microbe interactions, CP: microbiology, ecological engineering, metabolic models, synthetic ecology, coastal ecosystems

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average