ArticlePloS one2013
Coregulation of Terpenoid Pathway Genes and Prediction of Isoprene Production in Bacillus subtilis Using Transcriptomics.
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.
What it found
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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.
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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.
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Who cites it
15 citing papers in PubMed, 40 citations in OpenAlex.
- Enhancing lycopene production inFrontiers in bioengineering and biotechnology · 2025Article
- A Programmable CRISPR/Cas9 Toolkit Improves Lycopene Production in Bacillus subtilis.Applied and environmental microbiology · 2023Article
- Development and application of CRISPR-based genetic tools in Bacillus species and Bacillus phages.Journal of applied microbiology · 2022Review
- Microbial (Frontiers in bioengineering and biotechnology · 2022Review
- Positioning Bacillus subtilis as terpenoid cell factory.Journal of applied microbiology · 2021Review
- Bacterial terpenome.Natural product reports · 2021Review
- Engineering of Multiple Modules to Improve Amorphadiene Production inJournal of agricultural and food chemistry · 2021Article
- Excavating the functionally crucial active-site residues of the DXS protein of Bacillus subtilis by exploring its closest homologues.Journal, genetic engineering & biotechnology · 2020Article
- Benchmark of software tools for prokaryotic chromosomal interaction domain identification.Bioinformatics (Oxford, England) · 2020Article
- A regulated synthetic operon facilitates stable overexpression of multigene terpenoid pathway in Bacillus subtilis.Journal of industrial microbiology & biotechnology · 2020Article
- Impact of Fatty-Acid Labeling ofFrontiers in microbiology · 2020Article
- Antibacterial activity in secondary metabolite extracts of heterotrophic bacteria againstF1000Research · 2020Article
- Microbial cycling of isoprene, the most abundantly produced biological volatile organic compound on Earth.The ISME journal · 2018Review
- Predicting Species-Resolved Macronutrient Acquisition during Succession in a Model Phototrophic Biofilm Using an Integrated 'Omics Approach.Frontiers in microbiology · 2017Article
- Metabolic engineering of Bacillus subtilis for terpenoid production.Applied microbiology and biotechnology · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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.