Comparative Day/Night Metatranscriptomic Analysis of Microbial Communities in the North Pacific Subtropical Gyre. <p> Metatranscriptomic analyses of microbial assemblages (<5 um) from surface water at the Hawaiian Ocean Time-Series (HOT) revealed community-wide metabolic activities and day/night patterns of differential gene expression. Pyrosequencing produced 75,558 putative mRNA reads from a day transcriptome and 75,946 from a night transcriptome. Taxonomic binning of annotated mRNAs indicated that Cyanobacteria contributed a greater percentage of the transcripts (54% of annotated sequences) than expected based on abundance (35% of cell counts and 21% 16S rRNA of libraries), and may represent the most actively transcribing cells in this surface ocean community in both the day and night. Major heterotrophic taxa contributing to the community transcriptome included a-proteobacteria (19% of annotated sequences, most of which were SAR11-related) and g-proteobacteria (4%). The composition of transcript pools was consistent with models of prokaryotic gene expression, including operon-based transcription patterns and an abundance of genes predicted to be highly expressed. Metabolic activities that are shared by many microbial taxa (e.g., glycolysis, citric acid cycle, amino acid biosynthesis, and transcription and translation machinery) were well represented among the community transcripts. There was an overabundance of transcripts for photosynthesis, C1 metabolism, and oxidative phosphorylation in the day compared to night, and evidence that energy acquisition is coordinated with solar radiation levels for both autotrophic and heterotrophic microbes. In contrast, housekeeping activities such as amino acid biosynthesis, membrane synthesis and repair, and vitamin biosynthesis were overrepresented in the night transcriptome. Direct sequencing of these environmental transcripts has provided detailed information on metabolic and biogeochemical responses of a microbial community to solar forcing. <p> <p> 454 transcriptome data is available from the Short Read Archive (SRA): <a href="ftp://ftp.ncbi.nih.gov/pub/TraceDB/ShortRead/SRA003648 ">SRA003648</a>.