Symbiodinium genomes reveal adaptive evolution of functions related to coral-dinoflagellate symbiosis
Liu, Huanle, Stephens, Timothy G., González-Pech, Raúl A., Beltran, Victor H., Lapeyre, Bruno, Bongaerts, Pim, Cooke, Ira, Aranda, Manuel, Bourne, David G., Forêt, Sylvain, Miller, David J., van Oppen, Madeleine J.H., Voolstra, Christian R., Ragan, Mark A., and Chan, Cheong Xin (2018) Symbiodinium genomes reveal adaptive evolution of functions related to coral-dinoflagellate symbiosis. Communications Biology, 1. 95.
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Abstract
Symbiosis between dinoflagellates of the genus Symbiodinium and reef-building corals forms the trophic foundation of the world's coral reef ecosystems. Here we present the first draft genome of Symbiodinium goreaui (Clade C, type C1: 1.03 Gbp), one of the most ubiquitous endosymbionts associated with corals, and an improved draft genome of Symbiodinium kawagutii (Clade F, strain CS-156: 1.05 Gbp) to further elucidate genomic signatures of this symbiosis. Comparative analysis of four available Symbiodinium genomes against other dinoflagellate genomes led to the identification of 2460 nuclear gene families (containing 5% of Symbiodinium genes) that show evidence of positive selection, including genes involved in photosynthesis, transmembrane ion transport, synthesis and modification of amino acids and glycoproteins, and stress response. Further, we identify extensive sets of genes for meiosis and response to light stress. These draft genomes provide a foundational resource for advancing our understanding of Symbiodinium biology and the coral-algal symbiosis.
| Item ID: | 57281 |
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| Item Type: | Article (Research - C1) |
| ISSN: | 2399-3642 |
| Copyright Information: | Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
| Additional Information: | Change History: 23 August 2018 In the original HTML version of the paper, the following affiliation was missing for author Cheong Xin Chan: School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD 4072, Australia. This affiliation was incorrectly assigned to author Pim Bongaerts as "Present Address". All affiliations were published correctly in the PDF version of the paper and have now been corrected in the HTML. |
| Funders: | Australian Research Council (ARC), Australian National Computational Infrastructure (NCI), National Collaborative Research Infrastructure Strategy (NCRIS), Rio Tinto |
| Projects and Grants: | ARC Grant DP150101875, NCI Merit Allocation Scheme (Project d85) |
| Date Deposited: | 04 Mar 2019 05:30 |
| FoR Codes: | 31 BIOLOGICAL SCIENCES > 3105 Genetics > 310509 Genomics @ 40% 31 BIOLOGICAL SCIENCES > 3105 Genetics > 310510 Molecular evolution @ 20% 31 BIOLOGICAL SCIENCES > 3102 Bioinformatics and computational biology > 310204 Genomics and transcriptomics @ 40% |
| SEO Codes: | 97 EXPANDING KNOWLEDGE > 970106 Expanding Knowledge in the Biological Sciences @ 100% |
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