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Cited by 23

The DOI matches its Crossref record; 264 of the 264 references it cites were found in a registry or an index.

Bacterial catabolism of s-triazine herbicides: biochemistry, evolution and application

·2020·Advances in Microbial Physiology
DOI 10.1016/bs.ampbs.2020.01.004
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Abstract

The synthetic s-triazines are abundant, nitrogen-rich, heteroaromatic compounds used in a multitude of applications including, herbicides, plastics and polymers, and explosives. Their presence in the environment has led to the evolution of bacterial catabolic pathways in bacteria that allow use of these anthropogenic chemicals as a nitrogen source that supports growth. Herbicidal s-triazines have been used since the mid-twentieth century and are among the most heavily used herbicides in the world, despite being withdrawn from use in some areas due to concern about their safety and environmental impact. Bacterial catabolism of the herbicidal s-triazines has been studied extensively. Pseudomonas sp. strain ADP, which was isolated more than thirty years after the introduction of the s-triazine herbicides, has been the model system for most of these studies; however, several alternative catabolic pathways have also been identified. Over the last five years, considerable detail about the molecular mode of action of the s-triazine catabolic enzymes has been uncovered through acquisition of their atomic structures. These structural studies have also revealed insights into the evolutionary origins of this newly acquired metabolic capability. In addition, s-triazine-catabolizing bacteria and enzymes have been used in a range of applications, including bioremediation of herbicides and cyanuric acid, introducing metabolic resistance to plants, and as a novel selectable marker in ferment…

Overview

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Crossref · 10.1016/bs.ampbs.2020.01.004

Cites

264 of 264 references verified0 citation errors · 0 not checkable

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Citations

Cites

Research works printed but not linked: 21

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  14. Shi, 2019, PLoS One, 14, 25
  15. Sneha, 2014, Genome Announcements, 2
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  17. Wackett, L. P., Seffernick, J. L. and Aukema, K. (2016). UNIV Minnesota (MINU-C) WACKETT L P (WACK-Individual) SEFFERNICK J L (SEFF-Individual) AUKEMA K (AUKE-Individual). pp. 51.
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Cited by

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Metadata

Venue
Advances in Microbial Physiology
Publisher
Elsevier
Published
2020
Pages
129-186
ISSN
0065-2911
DOI
10.1016/bs.ampbs.2020.01.004
Cited by
23
References
264
Language
en
Licence
Funders
ADP

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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.

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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.