Evidence map›Paper›PMID 21715660›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2011

Unravelling evolutionary strategies of yeast for improving galactose utilization through integrated systems level analysis.

Kuk-Ki Hong, Wanwipa Vongsangnak, Goutham N Vemuri, Jens Nielsen

Abstract readComparative Study
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
7.9field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

58 citing papers in PubMed, 161 citations in OpenAlex.

  1. Review
  2. Article
  3. Systems biology of yeast metabolism.FEMS yeast research · 2026
    Review
  4. Adaptive Laboratory Evolution of Pichia pastoris by Serial Batch Cultivation.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Transcriptome analysis and reverse engineering verification of SNZ3Biotechnology for biofuels and bioproducts · 2025
    Article
  9. Article
  10. mSystems · 2024
    Article
  11. RewiringMetabolic engineering communications · 2024
    Article
  12. Review
  13. FromJournal of fungi (Basel, Switzerland) · 2023
    Review
  14. Recent progress in adaptive laboratory evolution of industrial microorganisms.Journal of industrial microbiology & biotechnology · 2023
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 3 countries.

Kuk-Ki HongDepartment of Chemical and Biological Engineering, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden.
Wanwipa Vongsangnak
Goutham N Vemuri
Jens Nielsen
Chalmers University of Technology · SE

Funding

European Research Council 247013
6 · The paper itself

Abstract

Identification of the underlying molecular mechanisms for a derived phenotype by adaptive evolution is difficult. Here, we performed a systems-level inquiry into the metabolic changes occurring in the yeast Saccharomyces cerevisiae as a result of its adaptive evolution to increase its specific growth rate on galactose and related these changes to the acquired phenotypic properties. Three evolved mutants (62A, 62B, and 62C) with higher specific growth rates and faster specific galactose uptake were isolated. The evolved mutants were compared with a reference strain and two engineered strains, SO16 and PGM2, which also showed higher galactose uptake rate in previous studies. The profile of intermediates in galactose metabolism was similar in evolved and engineered mutants, whereas reserve carbohydrates metabolism was specifically elevated in the evolved mutants and one evolved strain showed changes in ergosterol biosynthesis. Mutations were identified in proteins involved in the global carbon sensing Ras/PKA pathway, which is known to regulate the reserve carbohydrates metabolism. We evaluated one of the identified mutations, RAS2(Tyr112), and this mutation resulted in an increased specific growth rate on galactose. These results show that adaptive evolution results in the utilization of unpredicted routes to accommodate increased galactose flux in contrast to rationally engineered strains. Our study demonstrates that adaptive evolution represents a valuable alternative to rational design in bioengineering of improved strains and, that through systems biology, it is possible to identify mutations in evolved strain that can serve as unforeseen metabolic engineering targets for improving microbial strains for production of biofuels and chemicals.

Indexed as

Biological EvolutionPhenotypeBase SequenceBioengineeringChromatography, High Pressure LiquidDNA PrimersGalactoseGas Chromatography-Mass SpectrometryGene Expression ProfilingMetabolic Networks and PathwaysMolecular Sequence DataMutagenesis, Site-Directedras ProteinsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSequence Analysis, DNADNA PrimersGalactoseRAS2 protein, S cerevisiaeras ProteinsSaccharomyces cerevisiae Proteins

Identifiers

PMID21715660
PMCPMC3141923
OpenAlexW1987363227

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.