Project description:Lytic viruses have been implicated in the massive cellular lysis observed during algal blooms, through which they assume a prominent role in oceanic carbon and nutrient flows. Despite their impact on biogeochemical cycling, the transcriptional dynamics of these important oceanic events is still poorly understood. Here, we employ an oligonucleotide microarray to monitor host (Emiliania huxleyi) and virus (coccolithovirus) transcriptomic features during the course of E. huxleyi blooms induced in seawater-based mesocosm enclosures. Host bloom development and subsequent coccolithovirus infection was associated with a major shift in transcriptional profile. In addition to the expected metabolic requirements typically associated with viral infection (amino acid and nucleotide metabolism, as well as transcription- and replication-associated functions), the results strongly suggest that the manipulation of lipid metabolism plays a fundamental role during host-virus interaction. The results herein reveal the scale, so far massively underestimated, of the transcriptional domination that occurs during coccolithovirus infection in the natural environment.
Project description:Lytic viruses have been implicated in the massive cellular lysis observed during algal blooms, through which they assume a prominent role in oceanic carbon and nutrient flows. Despite their impact on biogeochemical cycling, the transcriptional dynamics of these important oceanic events is still poorly understood. Here, we employ an oligonucleotide microarray to monitor host (Emiliania huxleyi) and virus (coccolithovirus) transcriptomic features during the course of E. huxleyi blooms induced in seawater-based mesocosm enclosures. Host bloom development and subsequent coccolithovirus infection was associated with a major shift in transcriptional profile. In addition to the expected metabolic requirements typically associated with viral infection (amino acid and nucleotide metabolism, as well as transcription- and replication-associated functions), the results strongly suggest that the manipulation of lipid metabolism plays a fundamental role during host-virus interaction. The results herein reveal the scale, so far massively underestimated, of the transcriptional domination that occurs during coccolithovirus infection in the natural environment. Six mesocosm enclosures were placed in the Raunefjorden (Western Norway coast) and filled with natural community water (in June 2008). Nutrient enrichment was applied in order to trigger the development of E. huxleyi blooms. The major transcriptomic features of those blooms and consequent viral infections were monitered through the use of an oligo microarray containing a total of 3571 gene probes; 2271 (63.6%) matching E. huxleyi ESTs, and 1300 (36.4%) matching EhV-86 and EhV-163 genomic sequences. Each microarray contains 5 technical replicates. Sampling of total RNA present in 2L of water (from each enclosure) was performed once a day from day 8 to day 16. For enclosures 2 and 3 other sampling points were taken, covering the complete dial-cycle (6h,12h,18h, and 24h).
Project description:Prymnesium parvum is regarded as one of the most notorious harmful algal bloom (HAB) species worldwide. In recent years, it has frequently formed toxic blooms in coastal and brackish waters of America, Europe, Australia, Africa and Asia, causing large-scale mortalities of wild and cultured fish and other gill-breathing animals. In the last decade, blooms of P. parvum have expanded to inland fresh waters in the USA, presumably due to changes in environmental conditions. The aim of the experiment was to establish the gill transcriptomic responses to P. parvum in rainbow trout. We used 2 different concentrations of P. parvum and identified fish with low and moderate responses to the algae. Based on the dose of and the fish response, fish were classified into 4 groups with high exposure/moderate response (HM), high exposure/low response (HL), low exposure/low response (LL) and control group (C) with no exposure/no response. Gene expression profiling of the gill tissue was performed using a microarray platform developed and validated for rainbow trout.