Meta-analysis reveals host-dependent nitrogen recycling as a mechanism of symbiont control in Aiptasia
Liew, Yi Jin
Kharbatia, Najeh M.
Zahran, Noura Ibrahim Omar
Emwas, Abdul-Hamid M.
Eguíluz, Víctor M
KAUST DepartmentBiological and Environmental Sciences and Engineering (BESE) Division
Red Sea Research Center (RSRC)
Marine Science Program
King Abdullah University of Science and Technology (KAUST), Core Labs, Thuwal, 23955-6900, Saudi Arabia
KAUST Grant NumberURF/1/2216-01
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AbstractThe metabolic symbiosis with photosynthetic algae of the genus Symbiodinium allows corals to thrive in the oligotrophic environments of tropical seas. Many aspects of this relationship have been investigated using transcriptomic analyses in the emerging model organism Aiptasia. However, previous studies identified thousands of putatively symbiosis-related genes, making it difficult to disentangle symbiosis-induced responses from undesired experimental parameters. Using a meta-analysis approach, we identified a core set of 731 high-confidence symbiosis-associated genes that reveal host-dependent recycling of waste ammonium and amino acid synthesis as central processes in this relationship. Combining transcriptomic and metabolomic analyses, we show that symbiont-derived carbon enables host recycling of ammonium into nonessential amino acids. We propose that this provides a regulatory mechanism to control symbiont growth through a carbon-dependent negative feedback of nitrogen availability to the symbiont. The dependence of this mechanism on symbiont-derived carbon highlights the susceptibility of this symbiosis to changes in carbon translocation, as imposed by environmental stress.
CitationCui G, Liew YJ, Li Y, Kharbatia N, Zahran NI, et al. (2018) Meta-analysis reveals host-dependent nitrogen recycling as a mechanism of symbiont control in Aiptasia . Available: http://dx.doi.org/10.1101/269183.
SponsorsWe would like to thank Jit Ern Chen and Maha J. Cziesielski for valuable comments on our manuscript. This publication is based upon work supported by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Award No. URF/1/2216-01.
PublisherCold Spring Harbor Laboratory