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Gene expression normalization in a dual-compartment system: a real-time quantitative polymerase chain reaction
Anderson B Mayfield1, Marissa B Hirst, Ruth D Gates
1Hawaii Institute of Marine Biology, 46-007 Lilipuna Road, Kaneohe, HI 96744, USA and Department of Zoology, University of Hawaii at Manoa, 2538 McCarthy Mall, Honolulu, HI 96822, USA.
Accurate gene expression analysis in corals requires accounting for symbiotic algae. A new protocol normalizes gene expression to RNA and a Symbiodinium cell proxy, improving accuracy for mixed organism studies.
Area of Science:
- Marine Biology
- Molecular Biology
- Genomics
Background:
- Symbiotic organisms, like corals, present challenges for gene expression studies due to the contribution of multiple genomes.
- Accurate quantification of gene expression in host-symbiont systems requires normalization to account for the relative abundance of each partner.
Purpose of the Study:
- To develop and validate a modified 'universal reference gene' protocol for accurate gene expression analysis in anthozoans harboring Symbiodinium.
- To establish a method that normalizes gene expression data to both RNA concentration and a symbiont molecular proxy.
Main Methods:
- Developed a protocol normalizing gene expression values first to an RNA spike and then to a symbiont molecular proxy.
- Quantified Symbiodinium cells using genome copy number of heat shock protein-70 (HSP70) via real-time quantitative polymerase chain reaction.
- Normalized gene expression to total RNA concentration to control for variations in extracted live tissue.
Main Results:
- Successfully tested the protocol in vivo using differentially infected sea anemones (Aiptasia pulchella).
- Demonstrated the ability to molecularly quantify symbiont cells and assess the impact of symbiont load on gene expression.
- Validated the protocol's effectiveness in mixed organism assemblages.
Conclusions:
- The modified protocol provides accurate gene expression measurements in corals and sea anemones by accounting for endosymbiotic dinoflagellates.
- This method is broadly applicable to researchers studying gene expression in any mixed organism system.
- Improved accuracy in gene expression analysis is crucial for understanding host-symbiont interactions.
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