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)

Summary paragraph 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 …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 plants 1–3 . Clock genes are rarely essential but appropriate alleles can confer a competitive advantage 4,5 and have been repeatedly selected during crop domestication 3,6 . 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 thaliana 7–9 . 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 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: 6th Feb 2017

Publication Type: Tech report

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