ArticleJournal of bacteriology1999
Complete sequence of a 184-kilobase catabolic plasmid from Sphingomonas aromaticivorans F199.
Article in Journal of bacteriology, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers.
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Who cites it
102 citing papers in PubMed, 314 citations in OpenAlex.
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- The effect of bacterial growth strategies on plasmid transfer and naphthalene degradation for bioremediation.Environmental technology & innovation · 2022Article
- iNovo479: Metabolic Modeling Provides a Roadmap to Optimize Bioproduct Yield from Deconstructed Lignin Aromatics byMetabolites · 2022Article
- Aromatic Dimer Dehydrogenases fromApplied and environmental microbiology · 2021Article
- Characterization of the Phenanthrene-DegradingMicroorganisms · 2020Article
- A new framework for approaching precision bioremediation of PAH contaminated soils.Journal of hazardous materials · 2019Article
- Comparative metatranscriptome analysis revealed broad response of microbial communities in two soil types, agriculture versus organic soil.Journal, genetic engineering & biotechnology · 2019Article
- Rapid, Parallel Identification of Catabolism Pathways of Lignin-Derived Aromatic Compounds in Novosphingobium aromaticivorans.Applied and environmental microbiology · 2018Article
- Complete genome sequence ofStandards in genomic sciences · 2018Article
- Insights into the genome and proteome of Sphingomonas paucimobilis strain 20006FA involved in the regulation of polycyclic aromatic hydrocarbon degradation.World journal of microbiology & biotechnology · 2017Article
- Draft Genome Sequence of the Type StrainGenome announcements · 2017Article
- Current State of Knowledge in Microbial Degradation of Polycyclic Aromatic Hydrocarbons (PAHs): A Review.Frontiers in microbiology · 2016Review
- Characterization of the microbial community structure and the physicochemical properties of produced water and seawater from the Hibernia oil production platform.Environmental science and pollution research international · 2015Article
- Genetic determinants involved in the biodegradation of naphthalene and phenanthrene in Pseudomonas aeruginosa PAO1.Environmental science and pollution research international · 2015Article
42 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The complete 184,457-bp sequence of the aromatic catabolic plasmid, pNL1, from Sphingomonas aromaticivorans F199 has been determined. A total of 186 open reading frames (ORFs) are predicted to encode proteins, of which 79 are likely directly associated with catabolism or transport of aromatic compounds. Genes that encode enzymes associated with the degradation of biphenyl, naphthalene, m-xylene, and p-cresol are predicted to be distributed among 15 gene clusters. The unusual coclustering of genes associated with different pathways appears to have evolved in response to similarities in biochemical mechanisms required for the degradation of intermediates in different pathways. A putative efflux pump and several hypothetical membrane-associated proteins were identified and predicted to be involved in the transport of aromatic compounds and/or intermediates in catabolism across the cell wall. Several genes associated with integration and recombination, including two group II intron-associated maturases, were identified in the replication region, suggesting that pNL1 is able to undergo integration and excision events with the chromosome and/or other portions of the plasmid. Conjugative transfer of pNL1 to another Sphingomonas sp. was demonstrated, and genes associated with this function were found in two large clusters. Approximately one-third of the ORFs (59 of them) have no obvious homology to known genes.
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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.