Evidence map›Paper›PMID 31694544›Full record

ArticleBMC bioinformatics2019

Reconstruction and analysis of a Kluyveromyces marxianus genome-scale metabolic model.

Simonas Marcišauskas, Boyang Ji, Jens Nielsen

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 60 citations in OpenAlex.

  1. Article
  2. EngineeringFrontiers in microbiology · 2026
    Review
  3. Article
  4. Article
  5. From genetic constraints to process hurdles: A review ofCurrent research in food science · 2025
    Review
  6. Integration of proteomic data with genome-scale metabolic models: A methodological overview.Protein science : a publication of the Protein Society · 2024
    Review
  7. Article
  8. Snapshot of the Probiotic Potential ofFoods (Basel, Switzerland) · 2023
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Deletion ofFrontiers in microbiology · 2022
    Article
  16. Article
  17. Review
  18. Article
  19. The Model SystemLife (Basel, Switzerland) · 2020
    Review
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

3 authors at 2 institutions in 2 countries.

Simonas MarcišauskasDepartment of Biology and Biological Engineering, Chalmers University of Technology, Kemivägen 10, SE412 96, Gothenburg, Sweden.
Boyang JiDepartment of Biology and Biological Engineering, Chalmers University of Technology, Kemivägen 10, SE412 96, Gothenburg, Sweden.
Jens NielsenDepartment of Biology and Biological Engineering, Chalmers University of Technology, Kemivägen 10, SE412 96, Gothenburg, Sweden. nielsenj@chalmers.se.ORCID http://orcid.org/0000-0002-9955-6003
Chalmers University of Technology · SENovo Nordisk Foundation · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKluyveromyces marxianus is a thermotolerant yeast with multiple biotechnological potentials for industrial applications, which can metabolize a broad range of carbon sources, including less conventional sugars like lactose, xylose, arabinose and inulin. These phenotypic traits are sustained even up to 45 °C, what makes it a relevant candidate for industrial biotechnology applications, such as ethanol production. It is therefore of much interest to get more insight into the metabolism of this yeast. Recent studies suggested, that thermotolerance is achieved by reducing the number of growth-determining proteins or suppressing oxidative phosphorylation. Here we aimed to find related factors contributing to the thermotolerance of K. marxianus.

resultsHere, we reported the first genome-scale metabolic model of Kluyveromyces marxianus, iSM996, using a publicly available Kluyveromyces lactis model as template. The model was manually curated and refined to include the missing species-specific metabolic capabilities. The iSM996 model includes 1913 reactions, associated with 996 genes and 1531 metabolites. It performed well to predict the carbon source utilization and growth rates under different growth conditions. Moreover, the model was coupled with transcriptomics data and used to perform simulations at various growth temperatures.

conclusionsK. marxianus iSM996 represents a well-annotated metabolic model of thermotolerant yeast, which provides a new insight into theoretical metabolic profiles at different temperatures of K. marxianus. This could accelerate the integrative analysis of multi-omics data, leading to model-driven strain design and improvement.

Indexed as

Genome, BacterialModels, BiologicalBiomassBiosynthetic PathwaysFermentationKluyveromycesReproducibility of ResultsRiboflavinSaccharomyces cerevisiaeStress, PhysiologicalTemperatureRiboflavinConstraint-based flux analysisGenome-scale metabolic modelKluyveromyces marxianusThermotolerant yeast

Identifiers

PMID31694544
PMCPMC6833147
OpenAlexW2985859154

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.