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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

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been used since the mid-twentieth century and are among the most heavily used herbicides in the world, despite being withdrawn from use in some areas due to concern about their safety and environmental impact.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

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264 of 264 references verified0 citation errors · 0 not checkable

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Citations

Cites

Show all 264 references

Research works printed but not linked: 21

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Cited by

Metadata

Venue
Advances in Microbial Physiology
Publisher
Elsevier
Published
2020
Pages
129-186
ISSN
0065-2911
Cited by
23
References
264
Language
en
Funders
ADP

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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.