
handle: 21.11116/0000-0013-4772-B , eawag:36907
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.
microbe/plant/animal -microbe interactions, CP: microbiology, ecological engineering, metabolic models, synthetic ecology, coastal ecosystems
microbe/plant/animal -microbe interactions, CP: microbiology, ecological engineering, metabolic models, synthetic ecology, coastal ecosystems
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
