The DOI matches its Crossref record.
Isolation and Characterization of a Pseudomonas sp. That Mineralizes the s-Triazine Herbicide Atrazine
Open accessAbstract
A bacterium that was capable of metabolizing atrazine at very high concentrations (>1,000 ppm) was isolated from a herbicide spill site. The organism was differentiated by observing clearing zones on indicator agar plates containing 1,000 ppm atrazine. Detailed taxonomic studies identified the organism as a Pseudomonas sp., designated ADP, that was dissimilar to currently known species. Pseudomonas sp. strain ADP metabolized atrazine as its sole nitrogen source. Nongrowing suspended cells also metabolized atrazine rapidly; for example, 9 x 10(sup9) cells per ml degraded 100 ppm of atrazine in 90 min. Atrazine was metabolized to hydroxyatrazine, polar metabolites, and carbon dioxide. When uniformly ring-labeled [(sup14)C]atrazine was used, 80% of the radioactivity was liberated as (sup14)CO(inf2). These data indicated the triazine ring was completely mineralized. The isolation and characterization of Pseudomonas sp. strain ADP may contribute to efforts on atrazine bioremediation, particularly in environments containing very high pesticide levels.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Developing a metagenomic view of xenobiotic metabolism
Haiser, H. J., & Turnbaugh, P. J. (2013) · Pharmacological Research · doi:10.1016/j.phrs.2012.07.009 · Cited by 186
“Microbial consortia that were isolated from soil samples from around the world have demonstrated atrazine degradation capability; however, single organisms have also been shown to carry out the metabolism in pure culture [29].”
BackgroundMetabolism of Melamine by Klebsiella terragena
Shelton, D. R., Karns, J. S., McCarty, G. W., & Durham, D. R. (1997) · Applied and Environmental Microbiology · doi:10.1128/aem.63.7.2832-2835.1997 · Cited by 87
Bacterial catabolism of s-triazine herbicides: biochemistry, evolution and application
(2020) · Advances in Microbial Physiology · doi:10.1016/bs.ampbs.2020.01.004 · Cited by 23
Metadata
- Authors
- Mandelbaum, R. T., Allan, D. L., & Wackett, L. P.
- Venue
- Applied and Environmental Microbiology
- Publisher
- American Society for Microbiology
- Published
- 1995-04
- Volume
- 61
- Issue
- 4
- Pages
- 1451-1457
- ISSN
- 0099-2240 (ISSN-L)
- 1098-5336
- OpenAlex
- W1494677139
- Cited by
- 543
- References
- 0
- FWCI
- 21.20
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
