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Acropora millepora transcriptome


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Acropora millepora transcriptome
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    Acropora millepora transcriptome (mixed stages) from the National Center for Biotechnology Information, BioProject number PRJNA74409. Submitted by James Cook University.

    Abstract [Related Publication]: The impact of ocean acidification (OA) on coral calcification, a subject of intense current interest, is poorly understood in part because of the presence of symbionts in adult corals. Early life history stages of Acropora spp. provide an opportunity to study the effects of elevated CO2 on coral calcification without the complication of symbiont metabolism. Therefore, we used the Illumina RNAseq approach to study the effects of acute exposure to elevated CO2 on gene expression in primary polyps of Acropora millepora, using as reference a novel comprehensive transcriptome assembly developed for this study. Gene ontology analysis of this whole transcriptome data set indicated that CO2-driven acidification strongly suppressed metabolism but enhanced extracellular organic matrix synthesis, whereas targeted analyses revealed complex effects on genes implicated in calcification. Unexpectedly, expression of most ion transport proteins was unaffected, while many membrane-associated or secreted carbonic anhydrases were expressed at lower levels. The most dramatic effect of CO2-driven acidification, however, was on genes encoding candidate and known components of the skeletal organic matrix that controls CaCO3 deposition. The skeletal organic matrix effects included elevated expression of adult-type galaxins and some secreted acidic proteins, but down-regulation of other galaxins, secreted acidic proteins, SCRiPs and other coral-specific genes, suggesting specialized roles for the members of these protein families and complex impacts of OA on mineral deposition. This study is the first exhaustive exploration of the transcriptomic response of a scleractinian coral to acidification and provides an unbiased perspective on its effects during the early stages of calcification.

    The full methodology is available in the publication shown in the Related Publications link below.

Related Publications
  1. Moya, A., Huisman, L., Ball, E.E., Hayward, D.C., Grasso, L.C., Chua, C.M., Woo, H.N., Gattuso , J.-P, Forêt, S., and Miller, D.J. (2012) Whole transcriptome analysis of the coral Acropora millepora reveals complex responses to CO2-driven acidification during the initiation of calcification. Molecular Ecology, 21 (10). pp. 2440-2454.
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  1. Managed by: Dr Aurelie Moya , , ARC Centre of Excellence for Coral Reef Studies, Molecular and Cell Biology, Comparative Genomics Centre
  2. Associated with: Dr Lauretta Grasso , , Molecular and Cell Biology
  3. Associated with: Dr Chia-Miin Chua , , ARC Centre of Excellence for Coral Reef Studies
  4. Associated with: Dr Sylvain Foret , ARC Centre of Excellence for Coral Reef Studies
  5. Associated with: Prof David Miller , , ARC Centre of Excellence for Coral Reef Studies, Zoology and Ecology, Comparative Genomics Centre
Primary Contact
Dr Aurelie Moya,
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  1. L. Huisman, ARC Centre of Excellence for Coral Reef Studies, Townsville, Queensland, Australia
  2. E.E. Ball, Australian National University, ACT
  3. D.C. Hayward, Australian National University, ACT
  4. H.N. Woo, Macrogen, South Korea
  5. J.-P. Gattuso, University of Paris, France
Fields of Research
  1. 060205 - Marine and Estuarine Ecology (incl. Marine Ichthyology) (060205)
  2. 060405 - Gene Expression (incl. Microarray and other genome-wide approaches) (060405)
  3. 069902 - Global Change Biology (069902)
Socio-Economic Objective
  1. 970105 - Expanding Knowledge in the Environmental Sciences (970105)
  1. transcriptome
  2. Acropora millepora
  3. ARC Centre of Excellence for Coral Reef Studies
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Tropical Ecosystems, Conservation and Climate Change
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NCBI places no restrictions on the use or distribution of data.
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Moya, A.; Huisman, L.; Ball, E.; Haywood, D.; Grasso, L.; Chua, C.; Woo, H.; Gattuso, J.; Foret, S.; Miller, D. (2011). Acropora millepora transcriptome. James Cook University. (dataset). ea31a0b6b94e1f178cacca1e9a7fcb02