Integration of metabolite with transcript and enzyme activity profiling during diurnal cycles in Arabidopsis rosettes.
Integration of metabolite with transcript and enzyme activity profiling during diurnal cycles in Arabidopsis rosettes.
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DOI:
10.1186/gb-2006-7-8-r76
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发表时间:
2006
期刊:
影响因子:
12.3
通讯作者:
Stitt M
中科院分区:
文献类型:
--
作者:
Gibon Y;Usadel B;Blaesing OE;Kamlage B;Hoehne M;Trethewey R;Stitt M
An analysis of the temporal dynamics of metabolite and transcript levels, as well as enzyme activity, of 137 metabolites during diurnal cycles in Arabidopsis leaves Genome-wide transcript profiling and analyses of enzyme activities from central carbon and nitrogen metabolism show that transcript levels undergo marked and rapid changes during diurnal cycles and after transfer to darkness, whereas changes in activities are smaller and delayed. In the starchless pgm mutant, where sugars are depleted every night, there are accentuated diurnal changes in transcript levels. Enzyme activities in this mutant do not show larger diurnal changes; instead, they shift towards the levels found in the wild type after several days of darkness. This indicates that enzyme activities change slowly, integrating the changes in transcript levels over several diurnal cycles. To generalize this conclusion, 137 metabolites were profiled using gas and liquid chromatography coupled to mass spectroscopy. The amplitudes of the diurnal changes in metabolite levels in pgm were (with the exception of sugars) similar or smaller than in the wild type. The average levels shifted towards those found after several days of darkness in the wild type. Examples include increased levels of amino acids due to protein degradation, decreased levels of fatty acids, increased tocopherol and decreased myo-inositol. Many metabolite-transcript correlations were found and the proportion of transcripts correlated with sugars increased dramatically in the starchless mutant. Rapid diurnal changes in transcript levels are integrated over time to generate quasi-stable changes across large sectors of metabolism. This implies that correlations between metabolites and transcripts are due to regulation of gene expression by metabolites, rather than metabolites being changed as a consequence of a change in gene expression.