Publications by authors named "Sonora S Meiling"

Article Synopsis
  • * The study investigates how various coral species and their algal symbionts respond to SCTLD by analyzing gene expression profiles from a transmission experiment.
  • * Key findings show that SCTLD infection increases expression of specific genes linked to the breakdown of algal symbionts and that the disease's severity varies depending on the type of symbiotic algae present.
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Viruses can affect coral health by infecting their symbiotic dinoflagellate partners (Symbiodiniaceae). Yet, viral dynamics in coral colonies exposed to environmental stress have not been studied at the reef scale, particularly within individual viral lineages. We sequenced the viral major capsid protein (mcp) gene of positive-sense single-stranded RNA viruses known to infect symbiotic dinoflagellates ('dinoRNAVs') to analyze their dynamics in the reef-building coral, Porites lobata.

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Article Synopsis
  • Stony coral tissue loss disease (SCTLD) is a severe illness affecting about 50% of Caribbean coral species, prompting a study on its microbial community response in US Virgin Islands (USVI) corals.
  • The researchers tested six coral species with varying susceptibility to SCTLD and analyzed the microbial communities in their mucus and tissue layers before and after disease exposure.
  • Findings revealed that while the microbiomes were similar among species post-disease acquisition, distinct patterns emerged based on species and habitat, with mucus potentially serving as an early indicator of disease presence.
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While studies show that nutrient pollution shifts reef trophic interactions between fish, macroalgae, and corals, we know less about how the microbiomes associated with these organisms react to such disturbances. To investigate how microbiome dynamics are affected during nutrient pollution, we exposed replicate corals colonized by the fish , which farm an algal matrix on the coral, to a pulse of nutrient enrichment over a two-month period and examined the microbiome of each partner using 16S amplicon analysis. We found 51 amplicon sequence variants (ASVs) shared among the three hosts.

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