Evidence map›Paper›PMID 23840410›Full record

ArticlePloS one2013

Coregulation of Terpenoid Pathway Genes and Prediction of Isoprene Production in Bacillus subtilis Using Transcriptomics.

Becky M Hess, Junfeng Xue, Lye Meng Markillie, Ronald C Taylor, H Steven Wiley, Birgitte K Ahring, Bryan Linggi

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

15 citing papers in PubMed, 40 citations in OpenAlex.

  1. Enhancing lycopene production inFrontiers in bioengineering and biotechnology · 2025
    Article
  2. Article
  3. Review
  4. Microbial (Frontiers in bioengineering and biotechnology · 2022
    Review
  5. Positioning Bacillus subtilis as terpenoid cell factory.Journal of applied microbiology · 2021
    Review
  6. Bacterial terpenome.Natural product reports · 2021
    Review
  7. Engineering of Multiple Modules to Improve Amorphadiene Production inJournal of agricultural and food chemistry · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Impact of Fatty-Acid Labeling ofFrontiers in microbiology · 2020
    Article
  12. Article
  13. Review
  14. Article
  15. Metabolic engineering of Bacillus subtilis for terpenoid production.Applied microbiology and biotechnology · 2015
    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

7 authors at 3 institutions in 1 country.

Becky M HessBioproducts, Sciences and Engineering Laboratory, Washington State University Tri-Cities, Richland, Washington, United States of America ; Chemical and Biological Signature Sciences Group, Pacific Northwest National Laboratory, Richland, Washington, United States of America.
Junfeng Xue
Lye Meng Markillie
Ronald C Taylor
H Steven Wiley
Birgitte K Ahring
Bryan Linggi
Pacific Northwest National Laboratory · USWashington State University Tri-Cities · USEnvironmental Molecular Sciences Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The isoprenoid pathway converts pyruvate to isoprene and related isoprenoid compounds in plants and some bacteria. Currently, this pathway is of great interest because of the critical role that isoprenoids play in basic cellular processes, as well as the industrial value of metabolites such as isoprene. Although the regulation of several pathway genes has been described, there is a paucity of information regarding system level regulation and control of the pathway. To address these limitations, we examined Bacillus subtilis grown under multiple conditions and determined the relationship between altered isoprene production and gene expression patterns. We found that with respect to the amount of isoprene produced, terpenoid genes fall into two distinct subsets with opposing correlations. The group whose expression levels positively correlated with isoprene production included dxs, which is responsible for the commitment step in the pathway, ispD, and two genes that participate in the mevalonate pathway, yhfS and pksG. The subset of terpenoid genes that inversely correlated with isoprene production included ispH, ispF, hepS, uppS, ispE, and dxr. A genome-wide partial least squares regression model was created to identify other genes or pathways that contribute to isoprene production. These analyses showed that a subset of 213 regulated genes was sufficient to create a predictive model of isoprene production under different conditions and showed correlations at the transcriptional level. We conclude that gene expression levels alone are sufficiently informative about the metabolic state of a cell that produces increased isoprene and can be used to build a model that accurately predicts production of this secondary metabolite across many simulated environmental conditions.

Indexed as

Bacillus subtilisBacterial ProteinsBiosynthetic PathwaysButadienesCloning, MolecularGene Expression ProfilingGene Expression Regulation, BacterialGene Regulatory NetworksHemiterpenesLeast-Squares AnalysisPentanesSequence Analysis, RNATerpenesBacterial ProteinsButadienesHemiterpenesisoprenePentanesTerpenes

Identifiers

PMID23840410
PMCPMC3686787
OpenAlexW2052933288

What Socratic holds

Textmetadata
LicenceCC0
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 Socratic graph.