Activity motifs reveal principles of timing in transcriptional control of the yeast metabolic network

被引:127
作者
Chechik, Gal [3 ]
Oh, Eugene [4 ,5 ]
Rando, Oliver [6 ]
Weissman, Jonathan [4 ,5 ]
Regev, Aviv [1 ,2 ]
Koller, Daphne [3 ]
机构
[1] MIT, Dept Biol, Cambridge, MA 02142 USA
[2] Broad Inst MIT & Harvard, Cambridge, MA 02142 USA
[3] Stanford Univ, Dept Comp Sci, Stanford, CA 94305 USA
[4] Univ Calif San Francisco, Howard Hughes Med Fdn, San Francisco, CA 94143 USA
[5] Univ Calif San Francisco, Dept Cellular & Mol Pharmacol, San Francisco, CA 94143 USA
[6] Univ Massachusetts, Sch Med, Dept Mol Pharmacol & Biochem, Worcester, MA 01655 USA
基金
美国国家科学基金会;
关键词
D O I
10.1038/nbt.1499
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Significant insight about biological networks arises from the study of network motifs-overly abundant network subgraphs(1,2)-but such wiring patterns do not specify when and how potential routes within a cellular network are used. To address this limitation, we introduce activity motifs, which capture patterns in the dynamic use of a network. Using this framework to analyze transcription in Saccharomyces cerevisiae metabolism, we find that cells use different timing activity motifs to optimize transcription timing in response to changing conditions: forward activation to produce metabolic compounds efficiently, backward shutoff to rapidly stop production of a detrimental product and synchronized activation for co-production of metabolites required for the same reaction. Measuring protein abundance over a time course reveals that mRNA timing motifs also occur at the protein level. Timing motifs significantly overlap with binding activity motifs, where genes in a linear chain have ordered binding affinity to a transcription factor, suggesting a mechanism for ordered transcription. Finely timed transcriptional regulation is therefore abundant in yeast metabolism, optimizing the organism's adaptation to new environmental conditions.
引用
收藏
页码:1251 / 1259
页数:9
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