ArticlePloS one2016
Genetic Diversity Affects the Daily Transcriptional Oscillations of Marine Microbial Populations.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Multi-domain temporal patterns reveal stable community membership but dynamic interactions in the coastal microbiome.Environmental microbiome · 2025Article
- Decoding populations in the ocean microbiome.Microbiome · 2024Article
- Phytoplankton transcriptomic and physiological responses to fixed nitrogen in the California current system.PloS one · 2020Article
- Effects of nutrient enrichment on surface microbial community gene expression in the oligotrophic North Pacific Subtropical Gyre.The ISME journal · 2019Article
- A Sample-to-Sequence Protocol for Genus Targeted Transcriptomic Profiling: Application to MarineFrontiers in microbiology · 2016Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Marine microbial communities are genetically diverse but have robust synchronized daily transcriptional patterns at the genus level that are similar across a wide variety of oceanic regions. We developed a microarray-inspired gene-centric approach to resolve transcription of closely-related but distinct strains/ecotypes in high-throughput sequence data. Applying this approach to the existing metatranscriptomics datasets collected from two different oceanic regions, we found unique and variable patterns of transcription by individual taxa within the abundant picocyanobacteria Prochlorococcus and Synechococcus, the alpha Proteobacterium Pelagibacter and the eukaryotic picophytoplankton Ostreococcus. The results demonstrate that marine microbial taxa respond differentially to variability in space and time in the ocean. These intra-genus individual transcriptional patterns underlie whole microbial community responses, and the approach developed here facilitates deeper insights into microbial population dynamics.
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Registered trials
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