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Systems Biology of the Clock in Neurospora crassa

A model-driven discovery process, Computing Life, is used to identify an ensemble of genetic networks that describe the biological clock. A clock mechanism involving the genes white-collar-1 and white-collar-2 (wc-1 and wc-2) that encode a transcriptional activator (as well as a blue-light receptor)...

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Autores principales: Dong, Wubei, Tang, Xiaojia, Yu, Yihai, Nilsen, Roger, Kim, Rosemary, Griffith, James, Arnold, Jonathan, Schüttler, H.-Bernd
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2518617/
https://www.ncbi.nlm.nih.gov/pubmed/18769678
http://dx.doi.org/10.1371/journal.pone.0003105
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author Dong, Wubei
Tang, Xiaojia
Yu, Yihai
Nilsen, Roger
Kim, Rosemary
Griffith, James
Arnold, Jonathan
Schüttler, H.-Bernd
author_facet Dong, Wubei
Tang, Xiaojia
Yu, Yihai
Nilsen, Roger
Kim, Rosemary
Griffith, James
Arnold, Jonathan
Schüttler, H.-Bernd
author_sort Dong, Wubei
collection PubMed
description A model-driven discovery process, Computing Life, is used to identify an ensemble of genetic networks that describe the biological clock. A clock mechanism involving the genes white-collar-1 and white-collar-2 (wc-1 and wc-2) that encode a transcriptional activator (as well as a blue-light receptor) and an oscillator frequency (frq) that encodes a cyclin that deactivates the activator is used to guide this discovery process through three cycles of microarray experiments. Central to this discovery process is a new methodology for the rational design of a Maximally Informative Next Experiment (MINE), based on the genetic network ensemble. In each experimentation cycle, the MINE approach is used to select the most informative new experiment in order to mine for clock-controlled genes, the outputs of the clock. As much as 25% of the N. crassa transcriptome appears to be under clock-control. Clock outputs include genes with products in DNA metabolism, ribosome biogenesis in RNA metabolism, cell cycle, protein metabolism, transport, carbon metabolism, isoprenoid (including carotenoid) biosynthesis, development, and varied signaling processes. Genes under the transcription factor complex WCC ( = WC-1/WC-2) control were resolved into four classes, circadian only (612 genes), light-responsive only (396), both circadian and light-responsive (328), and neither circadian nor light-responsive (987). In each of three cycles of microarray experiments data support that wc-1 and wc-2 are auto-regulated by WCC. Among 11,000 N. crassa genes a total of 295 genes, including a large fraction of phosphatases/kinases, appear to be under the immediate control of the FRQ oscillator as validated by 4 independent microarray experiments. Ribosomal RNA processing and assembly rather than its transcription appears to be under clock control, suggesting a new mechanism for the post-transcriptional control of clock-controlled genes.
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spelling pubmed-25186172008-08-29 Systems Biology of the Clock in Neurospora crassa Dong, Wubei Tang, Xiaojia Yu, Yihai Nilsen, Roger Kim, Rosemary Griffith, James Arnold, Jonathan Schüttler, H.-Bernd PLoS One Research Article A model-driven discovery process, Computing Life, is used to identify an ensemble of genetic networks that describe the biological clock. A clock mechanism involving the genes white-collar-1 and white-collar-2 (wc-1 and wc-2) that encode a transcriptional activator (as well as a blue-light receptor) and an oscillator frequency (frq) that encodes a cyclin that deactivates the activator is used to guide this discovery process through three cycles of microarray experiments. Central to this discovery process is a new methodology for the rational design of a Maximally Informative Next Experiment (MINE), based on the genetic network ensemble. In each experimentation cycle, the MINE approach is used to select the most informative new experiment in order to mine for clock-controlled genes, the outputs of the clock. As much as 25% of the N. crassa transcriptome appears to be under clock-control. Clock outputs include genes with products in DNA metabolism, ribosome biogenesis in RNA metabolism, cell cycle, protein metabolism, transport, carbon metabolism, isoprenoid (including carotenoid) biosynthesis, development, and varied signaling processes. Genes under the transcription factor complex WCC ( = WC-1/WC-2) control were resolved into four classes, circadian only (612 genes), light-responsive only (396), both circadian and light-responsive (328), and neither circadian nor light-responsive (987). In each of three cycles of microarray experiments data support that wc-1 and wc-2 are auto-regulated by WCC. Among 11,000 N. crassa genes a total of 295 genes, including a large fraction of phosphatases/kinases, appear to be under the immediate control of the FRQ oscillator as validated by 4 independent microarray experiments. Ribosomal RNA processing and assembly rather than its transcription appears to be under clock control, suggesting a new mechanism for the post-transcriptional control of clock-controlled genes. Public Library of Science 2008-08-29 /pmc/articles/PMC2518617/ /pubmed/18769678 http://dx.doi.org/10.1371/journal.pone.0003105 Text en Dong 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
Dong, Wubei
Tang, Xiaojia
Yu, Yihai
Nilsen, Roger
Kim, Rosemary
Griffith, James
Arnold, Jonathan
Schüttler, H.-Bernd
Systems Biology of the Clock in Neurospora crassa
title Systems Biology of the Clock in Neurospora crassa
title_full Systems Biology of the Clock in Neurospora crassa
title_fullStr Systems Biology of the Clock in Neurospora crassa
title_full_unstemmed Systems Biology of the Clock in Neurospora crassa
title_short Systems Biology of the Clock in Neurospora crassa
title_sort systems biology of the clock in neurospora crassa
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2518617/
https://www.ncbi.nlm.nih.gov/pubmed/18769678
http://dx.doi.org/10.1371/journal.pone.0003105
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