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Transcriptome predictors of coral survival and growth in a highly variable environment

Concern over rapid environmental shifts associated with climate change has led to a search for molecular markers of environmental tolerance. Climate‐associated gene expression profiles exist for a number of systems, but have rarely been tied to fitness outcomes, especially in nonmodel organisms. We...

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Detalles Bibliográficos
Autores principales: Bay, Rachael A., Palumbi, Stephen R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5496549/
https://www.ncbi.nlm.nih.gov/pubmed/28690808
http://dx.doi.org/10.1002/ece3.2685
Descripción
Sumario:Concern over rapid environmental shifts associated with climate change has led to a search for molecular markers of environmental tolerance. Climate‐associated gene expression profiles exist for a number of systems, but have rarely been tied to fitness outcomes, especially in nonmodel organisms. We reciprocally transplanted corals between two backreef locations with more and less variable temperature regimes to disentangle effects of recent and native environment on survival and growth. Coral growth over 12 months was largely determined by local environment. Survival, however, was impacted by native environment; corals from the more variable environment had 22% higher survivorship. By contrast, corals native to the less variable environment had more variable survival. This might represent a “selective sieve” where poor survivors are filtered from the more stressful environment. We also find a potential fitness trade‐off—corals with high survival under stressful conditions grew less in the more benign environment. Transcriptome samples taken a year before transplantation were used to examine gene expression patterns that predicted transplant survival and growth. Two separate clusters of coexpressed genes were predictive of survival in the two locations. Genes from these clusters are candidate biomarkers for predicting persistence of corals under future climate change scenarios.