Cell free extract activity measurements: L-fuc/d-glc
SulfoSys - Biotec
No description specified

Submitter: Jacqueline Wolf

Assay type: Experimental Assay Type

Technology type: Enzymatic Activity Measurements

Investigation: L-fucose degradation in Sulfolobus solfataricus P2

Study: Comparison of S. solfataricus grown on l-fucose...

intracellular metabolome analysis: l-fucose vs d-glucose
SulfoSys - Biotec
No description specified

Submitter: Theresa Kouril

Assay type: Metabolite Profiling

Technology type: Gas Chromatography Mass Spectrometry

Investigation: L-fucose degradation in Sulfolobus solfataricus P2

Study: Comparison of S. solfataricus grown on l-fucose...

Proteome analysis: d-fuc / l-glu
SulfoSys - Biotec
No description specified

Submitter: Theresa Kouril

Assay type: Proteomics

Technology type: Tandem Mass Spectrometry

Investigation: L-fucose degradation in Sulfolobus solfataricus P2

Study: Comparison of S. solfataricus grown on l-fucose...

Catabolite repression of β-xylosidase by different carbon sources in various mutants
BaCell-SysMO
No description specified

Creator: Joerg Stuelke

Submitter: Leif Steil

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Catabolite repression of β-xylosidase by different carbon sources in various mutants
BaCell-SysMO

Table describing the catabolite repression of β-xylosidase by different carbon sources(glucose, sorbitol, fructose, maltose, glycerol. mannitol) in various mutants of CcpA cofactors (HprK, crh)

Creator: Joerg Stuelke

Submitter: Leif Steil

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Linking circadian time to growth rate quantitatively via carbon metabolism
Millar group

Abstract (Expand)

Predicting a multicellular organism's phenotype quantitatively from its genotype is challenging, as genetic effects must propagate up time and length scales. Circadian clocks are intracellular … regulators that control temporal gene expression patterns and hence metabolism, physiology and behaviour, from sleep/wake cycles in mammals to flowering in plants1-3. Clock genes are rarely essential but appropriate alleles can confer a competitive advantage4,5 and have been repeatedly selected during crop domestication3,6. Here we quantitatively explain and predict canonical phenotypes of circadian timing in a multicellular, model organism. We used metabolic and physiological data to combine and extend mathematical models of rhythmic gene expression, photoperiod-dependent flowering, elongation growth and starch metabolism within a Framework Model for growth of Arabidopsis thaliana7-9. The model predicted the effect of altered circadian timing upon each particular phenotype in clock-mutant plants. Altered night-time metabolism of stored starch accounted for most but not all of the decrease in whole-plant growth rate. Altered mobilisation of a secondary store of organic acids quantitatively explained the remaining defect. Our results link genotype through specific processes to higher-level phenotypes, formalising our understanding of a subtle, pleiotropic syndrome at the whole-organism level, and validating the systems approach to understand complex traits starting from intracellular circuits.

Authors: Yin Hoon Chew, Daniel D. Seaton, Virginie Mengin, Anna Flis, Sam T. Mugford, Alison M. Smith, Mark Stitt, Andrew J Millar

Date Published: No date defined

Publication Type: Not specified

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