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dc.contributor.authorChisholm, Sallie (Penny)
dc.contributor.authorWaldbauer, Jacob R.
dc.contributor.authorRodrigue, Sébastien
dc.contributor.authorColeman, Maureen L
dc.date.accessioned2012-11-14T15:06:29Z
dc.date.available2012-11-14T15:06:29Z
dc.date.issued2012-08
dc.date.submitted2012-04
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/1721.1/74633
dc.description.abstractGrowth of the ocean's most abundant primary producer, the cyanobacterium Prochlorococcus, is tightly synchronized to the natural 24-hour light-dark cycle. We sought to quantify the relationship between transcriptome and proteome dynamics that underlie this obligate photoautotroph's highly choreographed response to the daily oscillation in energy supply. Using RNA-sequencing transcriptomics and mass spectrometry-based quantitative proteomics, we measured timecourses of paired mRNA-protein abundances for 312 genes every 2 hours over a light-dark cycle. These temporal expression patterns reveal strong oscillations in transcript abundance that are broadly damped at the protein level, with mRNA levels varying on average 2.3 times more than the corresponding protein. The single strongest observed protein-level oscillation is in a ribonucleotide reductase, which may reflect a defense strategy against phage infection. The peak in abundance of most proteins also lags that of their transcript by 2–8 hours, and the two are completely antiphase for some genes. While abundant antisense RNA was detected, it apparently does not account for the observed divergences between expression levels. The redirection of flux through central carbon metabolism from daytime carbon fixation to nighttime respiration is associated with quite small changes in relative enzyme abundances. Our results indicate that expression responses to periodic stimuli that are common in natural ecosystems (such as the diel cycle) can diverge significantly between the mRNA and protein levels. Protein expression patterns that are distinct from those of cognate mRNA have implications for the interpretation of transcriptome and metatranscriptome data in terms of cellular metabolism and its biogeochemical impact.en_US
dc.language.isoen_US
dc.publisherPublic Library of Scienceen_US
dc.relation.isversionofhttp://dx.doi.org/10.1371/journal.pone.0043432en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/2.5/en_US
dc.sourcePLoSen_US
dc.titleTranscriptome and Proteome Dynamics of a Light-Dark Synchronized Bacterial Cell Cycleen_US
dc.typeArticleen_US
dc.identifier.citationWaldbauer, Jacob R. et al. “Transcriptome and Proteome Dynamics of a Light-Dark Synchronized Bacterial Cell Cycle.” Ed. Senjie Lin. PLoS ONE 7.8 (2012).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineeringen_US
dc.contributor.mitauthorChisholm, Sallie (Penny)
dc.contributor.mitauthorColeman, Maureen L.
dc.relation.journalPLoS ONEen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsWaldbauer, Jacob R.; Rodrigue, Sébastien; Coleman, Maureen L.; Chisholm, Sallie W.en
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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