ArticleNature microbiology2017
A metabolic pathway for catabolizing levulinic acid in bacteria.
Article in Nature microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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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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Who cites it
40 citing papers in PubMed, 114 citations in OpenAlex.
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- ACAD10 and ACAD11 enable mammalian 4-hydroxy acid lipid catabolism.Nature structural & molecular biology · 2025Article
- Enhanced production of microbial levulinic acid through deletion of the levulinic acid transcriptional regulator (lvaR) in engineered Pseudomonas putida KT2440.Bioprocess and biosystems engineering · 2025Article
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- ACAD10 and ACAD11 allow entry of 4-hydroxy fatty acids into β-oxidation.Cellular and molecular life sciences : CMLS · 2024Article
- Machine learning analysis of RB-TnSeq fitness data predicts functional gene modules inmSystems · 2024Article
- Lignin conversion to β-ketoadipic acid byScience advances · 2023Article
- Genome-wide fitness profiling reveals molecular mechanisms that bacteria use to interact with Trichoderma atroviride exometabolites.PLoS genetics · 2023Article
- A Genetically Encoded Biosensor for the Detection of Levulinic Acid.Journal of microbiology and biotechnology · 2023Article
- Contribution of Uncharacterized Target Genes of MxtR/ErdR to Carbon Source Utilization by Pseudomonas putida KT2440.Microbiology spectrum · 2023Article
- pBLAM1-x: standardized transposon tools for high-throughput screening.Synthetic biology (Oxford, England) · 2023Article
- Dynamic and single cell characterization of a CRISPR-interference toolset inMetabolic engineering communications · 2022Article
- Biosynthesis of cannabinoid precursor olivetolic acid in genetically engineered Yarrowia lipolytica.Communications biology · 2022Article
- Experimental and Analytical Approaches for Improving the Resolution of Randomly Barcoded Transposon Insertion Sequencing (RB-TnSeq) Studies.ACS synthetic biology · 2022Article
- 2-Year-Old and 3-Year-Old Italian ALS Patients with NovelMetabolites · 2022Article
- Metabolic Engineering ofJournal of microbiology and biotechnology · 2022Article
- Substrate-inducible and antibiotic-free high-level 4-hydroxyvaleric acid production in engineeredFrontiers in bioengineering and biotechnology · 2022Article
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16 authors at 2 institutions in 1 country.
Funding
Abstract
Microorganisms can catabolize a wide range of organic compounds and therefore have the potential to perform many industrially relevant bioconversions. One barrier to realizing the potential of biorefining strategies lies in our incomplete knowledge of metabolic pathways, including those that can be used to assimilate naturally abundant or easily generated feedstocks. For instance, levulinic acid (LA) is a carbon source that is readily obtainable as a dehydration product of lignocellulosic biomass and can serve as the sole carbon source for some bacteria. Yet, the genetics and structure of LA catabolism have remained unknown. Here, we report the identification and characterization of a seven-gene operon that enables LA catabolism in Pseudomonas putida KT2440. When the pathway was reconstituted with purified proteins, we observed the formation of four acyl-CoA intermediates, including a unique 4-phosphovaleryl-CoA and the previously observed 3-hydroxyvaleryl-CoA product. Using adaptive evolution, we obtained a mutant of Escherichia coli LS5218 with functional deletions of fadE and atoC that was capable of robust growth on LA when it expressed the five enzymes from the P. putida operon. This discovery will enable more efficient use of biomass hydrolysates and metabolic engineering to develop bioconversions using LA as a feedstock.
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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.