Dataset: Caribbean Candidatus Aquarickettsia rohweri metagenome-assembled genomes

Preliminary and in progressVersion 1 (2024-04-03)Dataset Type:experimentalDataset Type:Synthesis

Principal Investigator: Rebecca Vega Thurber (Oregon State University)

Co-Principal Investigator: Erinn M. Muller (Mote Marine Laboratory)

Scientist: Lydia Baker (Oregon State University)

Scientist: Grace J. Klinges (Oregon State University)

BCO-DMO Data Manager: Dana Stuart Gerlach (Woods Hole Oceanographic Institution)

Project: Collaborative Research: Tracking the interacting roles of the environment, host genotype, and a novel Rickettsiales in coral disease susceptibility (Coral Rickettsiales)

Abstract

The symbiont “Candidatus Aquarickettsia rohweri” infects a diversity of aquatic hosts. In the threatened Caribbean coral, Acropora cervicornis, Aquarickettsia proliferates in response to increased nutrient exposure, resulting in suppressed growth and increased disease susceptibility and mortality of coral. This study evaluated the extent, as well as the ecology and evolution of Aquarickettsia infecting threatened corals, Ac. cervicornis, and Ac. palmata and their hybrid (“Ac. prolifera”). Aquari...

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IsRelatedTo
Dataset: http://www.ncbi.nlm.nih.gov/bioproject/PRJNA507282
Oregon State University. Candidatus Aquarickettsia rohweri strain:a_cerv_44 Genome sequencing and assembly. 2018/12. In: BioProject [Internet]. Bethesda, MD: National Library of Medicine (US), National Center for Biotechnology Information; 2011-. Available from: http://www.ncbi.nlm.nih.gov/bioproject/PRJNA507282. NCBI:BioProject: PRJNA507282.
IsRelatedTo
Dataset: http://www.ncbi.nlm.nih.gov/bioproject/PRJNA666461
Oregon State University. Caribbean Candidatus Aquarickettsia rohweri metagenome-assembled genomes. 2020/09. In: BioProject [Internet]. Bethesda, MD: National Library of Medicine (US), National Center for Biotechnology Information; 2011-. Available from: http://www.ncbi.nlm.nih.gov/bioproject/PRJNA666461. NCBI:BioProject: PRJNA666461.

Related Publications

Methods, Results
Klinges, J. G., Rosales, S. M., McMinds, R., Shaver, E. C., Shantz, A. A., Peters, E. C., Eitel, M., Wörheide, G., Sharp, K. H., Burkepile, D. E., Silliman, B. R., & Vega Thurber, R. L. (2019). Phylogenetic, genomic, and biogeographic characterization of a novel and ubiquitous marine invertebrate-associated Rickettsiales parasite, Candidatus Aquarickettsia rohweri, gen. nov., sp. nov. The ISME Journal, 13(12), 2938–2953. https://doi.org/10.1038/s41396-019-0482-0
Results
Baker, L. J., Reich, H. G., Kitchen, S. A., Klinges, J. G., Koch, H. R., Baums, I. B., Muller, E. M., & Thurber, R. V. (2021). The coral symbiont Candidatus Aquarickettsia is variably abundant in threatened Caribbean acroporids and transmitted horizontally. The ISME Journal, 16(2), 400–411. https://doi.org/10.1038/s41396-021-01077-8
Methods
Kitchen, S. A., Ratan, A., Bedoya-Reina, O. C., Burhans, R., Fogarty, N. D., Miller, W., & Baums, I. B. (2019). Genomic Variants Among ThreatenedAcroporaCorals. G3 Genes|Genomes|Genetics, 9(5), 1633–1646. https://doi.org/10.1534/g3.119.400125
Methods
Reich, H. G., Kitchen, S. A., Stankiewicz, K. H., Devlin‐Durante, M., Fogarty, N. D., & Baums, I. B. (2021). Genomic variation of an endosymbiotic dinoflagellate (Symbiodinium ‘fitti’) among closely related coral hosts. Molecular Ecology, 30(14), 3500–3514. Portico. https://doi.org/10.1111/mec.15952
Software
Bankevich, A., Nurk, S., Antipov, D., Gurevich, A. A., Dvorkin, M., Kulikov, A. S., … Pevzner, P. A. (2012). SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing. Journal of Computational Biology, 19(5), 455–477. doi:10.1089/cmb.2012.0021

Klinges, G. J., Muller, E. M., Vega Thurber, R., Baker, L. (2024) Caribbean Candidatus Aquarickettsia rohweri metagenome-assembled genomes. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-04-03 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/924330 [access date]

Terms of Use

This dataset is licensed under Creative Commons Attribution 4.0.


If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.

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Funded by the U.S. National Science Foundation