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2014 ; 37
(ä): 75-83
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Metatranscriptome profiling of a harmful algal bloom
#MMPMID25484636
Cooper ED
; Bentlage B
; Gibbons TR
; Bachvaroff TR
; Delwiche CF
Harmful Algae
2014[Jul]; 37
(ä): 75-83
PMID25484636
show ga
Metagenomic methods provide a powerful means to investigate complex ecological
phenomena. Developed originally for study of Bacteria and Archaea, the
application of these methods to eukaryotic microorganisms is yet to be fully
realized. Most prior environmental molecular studies of eukaryotes have relied
heavily on PCR amplification with eukaryote-specific primers. Here we apply high
throughput short-read sequencing of poly-A selected RNA to capture the
metatranscriptome of an estuarine dinoflagellate bloom. To validate the
metatranscriptome assembly process we simulated metatranscriptomic datasets using
short-read sequencing data from clonal cultures of four algae of varying
phylogenetic distance. We find that the proportion of chimeric transcripts
reconstructed from community transcriptome sequencing is low, suggesting that
metatranscriptomic sequencing can be used to accurately reconstruct the
transcripts expressed by bloom-forming communities of eukaryotes. To further
validate the bloom metatransciptome assembly we compared it to a transcriptomic
assembly from a cultured, clonal isolate of the dominant bloom-causing alga and
found that the two assemblies are highly similar. Eukaryote-wide phylogenetic
analyses reveal the taxonomic composition of the bloom community, which is
comprised of several dinoflagellates, ciliates, animals, and fungi. The assembled
metatranscriptome reveals the functional genomic composition of a metabolically
active community. Highlighting the potential power of these methods, we found
that relative transcript abundance patterns suggest that the dominant
dinoflagellate might be expressing toxin biosynthesis related genes at a higher
level in the presence of competitors, predators and prey compared to it growing
in monoculture.