Evidence map›Paper›PMID 26391740›Full record

ArticleMetabolic engineering2015

Complete genome sequence, metabolic model construction and phenotypic characterization of Geobacillus LC300, an extremely thermophilic, fast growing, xylose-utilizing bacterium.

Lauren T Cordova, Christopher P Long, Keerthi P Venkataramanan, Maciek R Antoniewicz

Abstract read
In one paragraph

Article in Metabolic engineering, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed.

  1. Determination of the genome-scale metabolic network ofFrontiers in bioengineering and biotechnology · 2025
    Article
  2. Review
  3. Article
  4. The metabolic rate of the biosphere and its components.Proceedings of the National Academy of Sciences of the United States of America · 2023
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  7. Article
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  9. Article
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  11. Cultivation technology development of Rhodothermus marinus DSM 16675.Extremophiles : life under extreme conditions · 2019
    Article
  12. Article
  13. Review
  14. Article
  15. Cell-Free Protein Synthesis From Fast-GrowingFrontiers in microbiology · 2018
    Article
  16. Article
  17. Article
  18. Article
  19. Metabolic engineering · 2017
    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.

Lauren T CordovaDepartment of Chemical and Biomolecular Engineering, Metabolic Engineering and Systems Biology Laboratory, University of Delaware, 150 Academy St, Newark, DE 19716, USA.
Christopher P LongDepartment of Chemical and Biomolecular Engineering, Metabolic Engineering and Systems Biology Laboratory, University of Delaware, 150 Academy St, Newark, DE 19716, USA.
Keerthi P VenkataramananDepartment of Chemical and Biomolecular Engineering, Metabolic Engineering and Systems Biology Laboratory, University of Delaware, 150 Academy St, Newark, DE 19716, USA.
Maciek R AntoniewiczDepartment of Chemical and Biomolecular Engineering, Metabolic Engineering and Systems Biology Laboratory, University of Delaware, 150 Academy St, Newark, DE 19716, USA. Electronic address: mranton@udel.edu.

Funding

CHEMISTRY-BIOLOGY INTERFACE PREDOCTORAL TRAININGT32GM008550 · NIGMS · UNIVERSITY OF DELAWARE · PI BAHNSON, BRIAN J · 1994 to 2018
$5.0M
NIGMS NIH HHS T32 GM008550
6 · The paper itself

Abstract

We have isolated a new extremely thermophilic fast-growing Geobacillus strain that can efficiently utilize xylose, glucose, mannose and galactose for cell growth. When grown aerobically at 72 °C, Geobacillus LC300 has a growth rate of 2.15 h(-1) on glucose and 1.52 h(-1) on xylose (doubling time less than 30 min). The corresponding specific glucose and xylose utilization rates are 5.55 g/g/h and 5.24 g/g/h, respectively. As such, Geobacillus LC300 grows 3-times faster than E. coli on glucose and xylose, and has a specific xylose utilization rate that is 3-times higher than the best metabolically engineered organism to date. To gain more insight into the metabolism of Geobacillus LC300 its genome was sequenced using PacBio's RS II single-molecule real-time (SMRT) sequencing platform and annotated using the RAST server. Based on the genome annotation and the measured biomass composition a core metabolic network model was constructed. To further demonstrate the biotechnological potential of this organism, Geobacillus LC300 was grown to high cell-densities in a fed-batch culture, where cells maintained a high xylose utilization rate under low dissolved oxygen concentrations. All of these characteristics make Geobacillus LC300 an attractive host for future metabolic engineering and biotechnology applications.

Indexed as

Batch Cell Culture TechniquesBiomassCulture MediaEnergy MetabolismFermentationGenome, BacterialGeobacillusGlucoseKineticsMetabolic EngineeringMetabolic Networks and PathwaysOxidative PhosphorylationXyloseCulture MediaGlucoseXyloseGenome analysisHigh-cell-density fermentationMetabolic network modelThermophileXylose metabolism

Identifiers

PMID26391740
PMCPMC5845450

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Registered trials

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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.