Dataset Information

De novo assembly and characterization of the transcriptome of the toxic dinoflagellate Karenia brevis.

ABSTRACT: BACKGROUND: Karenia brevis is a harmful algal species that blooms in the Gulf of Mexico and produces brevetoxins that cause neurotoxic shellfish poisoning. Elevated brevetoxin levels in K. brevis cells have been measured during laboratory hypo-osmotic stress treatments. To investigate mechanisms underlying K. brevis osmoacclimation and osmoregulation and establish a valuable resource for gene discovery, we assembled reference transcriptomes for three clones: Wilson-CCFWC268, SP3, and SP1 (a low-toxin producing variant). K. brevis transcriptomes were annotated with gene ontology terms and searched for putative transmembrane proteins that may elucidate cellular responses to hypo-osmotic stress. An analysis of single nucleotide polymorphisms among clones was used to characterize genetic divergence. RESULTS: K. brevis reference transcriptomes were assembled with 58.5 (Wilson), 78.0 (SP1), and 51.4 million (SP3) paired reads. Transcriptomes contained 86,580 (Wilson), 93,668 (SP1), and 84,309 (SP3) predicted transcripts. Approximately 40% of the transcripts were homologous to proteins in the BLAST nr database with an E value ? 1.00E-6. Greater than 80% of the highly conserved CEGMA core eukaryotic genes were identified in each transcriptome, which supports assembly completeness. Seven putative voltage-gated Na+ or Ca2+ channels, two aquaporin-like proteins, and twelve putative VATPase subunits were discovered in all clones using multiple bioinformatics approaches. Furthermore, 45% (Wilson) and 43% (SP1 and SP3) of the K. brevis putative peptides > 100 amino acids long produced significant hits to a sequence in the NCBI nr protein database. Of these, 77% (Wilson and SP1) and 73% (SP3) were successfully assigned gene ontology functional terms. The predicted single nucleotide polymorphism (SNP) frequencies between clones were 0.0028 (Wilson to SP1), 0.0030 (Wilson to SP3), and 0.0028 (SP1 to SP3). CONCLUSIONS: The K. brevis transcriptomes assembled here provide a foundational resource for gene discovery and future RNA-seq experiments. The identification of ion channels, VATPases, and aquaporins in all three transcriptomes indicates that K. brevis regulates cellular ion and water concentrations via transmembrane proteins. Additionally, > 40,000 unannotated loci may include potentially novel K. brevis genes. Ultimately, the SNPs identified among the three ecologically diverse clones with different toxin profiles may help to elucidate variations in K. brevis brevetoxin production.

SUBMITTER: Ryan DE

PROVIDER: S-EPMC4203930 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

De novo assembly and characterization of the transcriptome of the toxic dinoflagellate Karenia brevis.

Ryan Darcie E DE Pepper Alan E AE Campbell Lisa L

BMC genomics 20141011

<h4>Background</h4>Karenia brevis is a harmful algal species that blooms in the Gulf of Mexico and produces brevetoxins that cause neurotoxic shellfish poisoning. Elevated brevetoxin levels in K. brevis cells have been measured during laboratory hypo-osmotic stress treatments. To investigate mechanisms underlying K. brevis osmoacclimation and osmoregulation and establish a valuable resource for gene discovery, we assembled reference transcriptomes for three clones: Wilson-CCFWC268, SP3, and SP1 ...[more]

PMID: 25306556

Similar Datasets

Project description:Dinoflagellates possess many physiological processes that appear to be under post-transcriptional control. However, the extent to which their genes are regulated post-transcriptionally remains unresolved. To gain insight into the roles of differential mRNA stability and de novo transcription in dinoflagellates, we biosynthetically labeled RNA with 4-thiouracil to isolate newly transcribed and pre-existing RNA pools in Karenia brevis. These isolated fractions were then used for analysis of global mRNA stability and de novo transcription by hybridization to a K. brevis microarray. Global K. brevis mRNA half-lives were calculated from the ratio of newly transcribed to pre-existing RNA for 7086 array features using the online software HALO (Half-life Organizer). Overall, mRNA half-lives were substantially longer than reported in other organisms studied at the global level, ranging from 42 minutes to greater than 144 h, with a median of 33 hours. Consistent with well-documented trends observed in other organisms, housekeeping processes, including energy metabolism and transport, were significantly enriched in the most highly stable messages. Shorter-lived transcripts included a higher proportion of transcriptional regulation, stress response, and other response/regulatory processes. One such family of proteins involved in post-transcriptional regulation in chloroplasts and mitochondria, the pentatricopeptide repeat (PPR) proteins, had dramatically shorter half-lives when compared to the arrayed transcriptome. As transcript abundances for PPR proteins were previously observed to rapidly increase in response to nutrient addition, we queried the newly synthesized RNA pools at 1 and 4 h following nitrate addition to N-depleted cultures. Transcriptome-wide there was little evidence of increases in the rate of de novo transcription during the first 4 h, relative to that in N-depleted cells, and no evidence for increased PPR protein transcription. These results lend support to the growing consensus of post-transcriptional control of gene expression in dinoflagellates.

Project description:Dinoflagellates possess many physiological processes that appear to be under post-transcriptional control. However, the extent to which their genes are regulated post-transcriptionally remains unresolved. To gain insight into role of de novo transcription in dinoflagellates, we biosynthetically labeled RNA with 4-thiouracil to isolate newly transcribed RNA in Karenia brevis. These isolated fractions were then used for analysis of global de novo transcription by hybridization to a K. brevis microarray. As previous microarray studies indicated that transcripts for pentatricopeptide repeat (PPR) proteins rapidly increased in response to nutrient addition, we queried the newly synthesized RNA pools at 1 and 4 h following nitrate addition to N-depleted cultures. Transcriptome-wide there was little evidence of changes in the rate of de novo transcription during the first 4 h, relative to that in N-depleted cells, and no evidence for increased PPR protein transcription. These results lend support to the growing consensus of post-transcriptional control of gene expression in dinoflagellates.M-bM-^@M-^C Cultures were acclimated to 10 M-BM-5M nitrate for a minimum of two months during which time cultures were transferred weekly in log phase. For addition experiments, nutrient replete and N-limited 1 L cultures were grown to stationary phase (Day 9). Using sodium nitrate, 155 M-BM-5M NO3 was added to stationary phase cultures. Cultures were exposed to 0.2 mM 4-thiouracil for 1 h to biosynthetically label newly transcribed RNA during the first hour post-N-addition (n=3) or during the fourth hour post-N-addition (n=3). N-limited cultures (n=3) were also exposed to 0.2 mM 4-thiouracil for 1 h to biosynthetically label newly transcribed RNA. Cultures were harvested after 1 h exposure to 4-thiouracil and total RNA extracted. Following extraction, RNA was biotinylated to allow for purification of the thiolated newly synthesized RNA from the total RNA pool using streptavidin coated magnetic beads. The newly transcribed RNA from each culture was independently labeled and hybridized to microarrys in a one color format. Based on the appearance of bioanlayzer profiles newly synthesized RNA was treated as mRNA in the labeling protocol.

Dataset Information

De novo assembly and characterization of the transcriptome of the toxic dinoflagellate Karenia brevis.

Publications

De novo assembly and characterization of the transcriptome of the toxic dinoflagellate Karenia brevis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets