We confirmed data from previous studies showing that genotypes of Acropora cervicornis dominated by the coral parasite Aquarickettsia are more susceptible to White Band Disease than genotypes with diverse microbiomes. However, in a study with ramets from genotypes exhibiting each microbiome profile, we found that the strongest predictor of disease development was prior exposure to increased thermal stress that occurred independent of the study on Florida’s reef during the experiment. While no ra...
Show moreSamples of coral tissue, skeleton, and mucus were taken from two genotypes of Acropora cervicornis prior to nutrient enrichment (n = 20 per genotype), prior to disease exposure (n = 18 per genotype), and at various stages during disease development. All surviving ramets at one week after disease exposure were sampled. To sample each coral, 6-8 polyps were excised using a flame-sterilized blade and placed in a 1.5mL microcentrifuge tube containing 1mL of DNA/RNA shield (Zymo Research, R1100-250, Irvine, CA, USA). Samples were transferred to a -80℃ freezer for long-term storage. In preparation for RNA extractions, the samples were removed from the -80℃ freezer and thawed on ice. With flame-sterilized tweezers, half of the biomass was transferred to a Disruptor Tube (Omega Bio-Tek, Norcross, GA, USA), the other half was kept as a bioarchive and returned to -80℃. RNA from each sample was isolated utilizing the E.Z.N.A. DNA/RNA Isolation Kit (Omega Bio-Tek, Norcross, GA, USA) with slight modifications to the manufacturer’s protocol to increase yield. RNA isolates were stored at -80℃. DNA quantity and quality was assessed utilizing a NanoDrop spectrophotometer (Thermo Fisher Scientific™, Waltham, MA, USA). Samples were shipped on dry ice to the Oklahoma Medical Research Foundation NGS Core, where RNA cleanup, precipitation, and polyA selection was performed. Libraries were prepared using the IDT xGen RNA Library kit. Final QC was performed using KAPA qPCR and Agilent Tapestation to confirm rRNA content, and libraries were sequenced on a NovaSeq 6000 using S4 chemistry.
Vega Thurber, R., Muller, E. M., Klinges, G. J. (2024) Acropora cervicornis transcriptomes: nutrient- and disease-exposed from samples collected at Mote Marine Laboratory in situ nursery from June to July 2022. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-08-06 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/924760 [access date]
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