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| griddap | Subset | tabledap | Make A Graph | wms | files | Accessible | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
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| log in | [Acropora cervicornis 16S rRNA sequence metadata: nutrient- and disease-exposed] - Acropora cervicornis 16S rRNA sequence metadata: nutrient- and disease-exposed from samples collected at Mote Marine Laboratory in situ nursery from June to July 2022 (Collaborative Research: Tracking the interacting roles of the environment, host genotype, and a novel Rickettsiales in coral disease susceptibility) | In the summer of 2022, 20 ramets each of the Acropora cervicornis genotypes ML-AC-36 and ML-AC-46 were collected from Mote's in situ coral nursery and subjected to three weeks of elevated nitrate, ammonium, and phosphate in the form of a slow-release fertilizer. The duration and concentration of this exposure were selected based on prior experiments conducted at Mote Marine Laboratory, which were found to alter microbial community profiles and growth rates in A. cervicornis (Klinges et al., 2022, 2023). During experiment, corals were held in 2-gallon aquaria with 5 corals per aquarium. As Mote Marine Laboratory's experimental aquarium system is plumbed into nearshore coastal water and thus has a higher nutrient load than the reef, an additional subset of 18 ramets of each genotype was collected from Mote's in situ coral nursery immediately prior to disease challenge to evaluate the impact of nearshore water on disease response. All ramets in the disease group were subjected to disease challenge in the form of a tissue homogenate produced from diseased fragments of random genotypes of A. cervicornis. Ramets in a comparative unexposed group were exposed to a homogenate produced from healthy fragments of random genotypes of A. cervicornis. We collected 190 samples for 16S rRNA sequencing, including prior to nutrient exposure, nutrient-exposed and -unexposed corals prior to disease challenge, and at several timepoints throughout disease exposure capturing both diseased and apparently healthy phenotypes. We additionally collected numerous samples for measurements of immune-related proteins. In brief, we found that disease challenge significantly impacted microbial communities, leading to significant differences in community composition between disease-exposed samples that developed disease, exposed samples that resisted disease, and healthy unexposed controls. The taxa Algicola, Halarcobacter, Saprospira, Shimia, Tenacibaculum, Thalassolituus, and Thalassotalea increased in abundance in samples that developed disease. Of the genotypes chosen for the experiment, one genotype was dominated by the putative parasite Aquarickettsia. We found that both genotypes were susceptible to disease, in contrast to previous results indicating that genotypes with low abundance of Aquarickettsia and relatively diverse microbiomes were disease-resistant. Raw sequence reads have been submitted to SRA under PRJNA1024453 with an embargo until publication.\n\ncdm_data_type = Other\nVARIABLES:\nNCBI_Project (unitless)\nsample_name (unitless)\n... (30 more variables)\n | BCO-DMO | bcodmo_dataset_924465_v1 |