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Transcriptome and Proteome Dynamics of a Light-Dark Synchronized Bacterial Cell Cycle

BACKGROUND: Growth 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�...

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Autores principales: Waldbauer, Jacob R., Rodrigue, Sébastien, Coleman, Maureen L., Chisholm, Sallie W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3430701/
https://www.ncbi.nlm.nih.gov/pubmed/22952681
http://dx.doi.org/10.1371/journal.pone.0043432
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author Waldbauer, Jacob R.
Rodrigue, Sébastien
Coleman, Maureen L.
Chisholm, Sallie W.
author_facet Waldbauer, Jacob R.
Rodrigue, Sébastien
Coleman, Maureen L.
Chisholm, Sallie W.
author_sort Waldbauer, Jacob R.
collection PubMed
description BACKGROUND: Growth 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. METHODOLOGY/PRINCIPAL FINDINGS: 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. CONCLUSIONS/SIGNIFICANCE: 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.
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spelling pubmed-34307012012-09-05 Transcriptome and Proteome Dynamics of a Light-Dark Synchronized Bacterial Cell Cycle Waldbauer, Jacob R. Rodrigue, Sébastien Coleman, Maureen L. Chisholm, Sallie W. PLoS One Research Article BACKGROUND: Growth 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. METHODOLOGY/PRINCIPAL FINDINGS: 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. CONCLUSIONS/SIGNIFICANCE: 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. Public Library of Science 2012-08-29 /pmc/articles/PMC3430701/ /pubmed/22952681 http://dx.doi.org/10.1371/journal.pone.0043432 Text en © 2012 Waldbauer et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Waldbauer, Jacob R.
Rodrigue, Sébastien
Coleman, Maureen L.
Chisholm, Sallie W.
Transcriptome and Proteome Dynamics of a Light-Dark Synchronized Bacterial Cell Cycle
title Transcriptome and Proteome Dynamics of a Light-Dark Synchronized Bacterial Cell Cycle
title_full Transcriptome and Proteome Dynamics of a Light-Dark Synchronized Bacterial Cell Cycle
title_fullStr Transcriptome and Proteome Dynamics of a Light-Dark Synchronized Bacterial Cell Cycle
title_full_unstemmed Transcriptome and Proteome Dynamics of a Light-Dark Synchronized Bacterial Cell Cycle
title_short Transcriptome and Proteome Dynamics of a Light-Dark Synchronized Bacterial Cell Cycle
title_sort transcriptome and proteome dynamics of a light-dark synchronized bacterial cell cycle
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3430701/
https://www.ncbi.nlm.nih.gov/pubmed/22952681
http://dx.doi.org/10.1371/journal.pone.0043432
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