Cited by 173Pesticide and Herbicide Environmental StudiesPharmaceutical and Antibiotic Environmental ImpactsEnvironmental Chemistry and Analysis

An overview of strobilurin fungicide degradation: current status and future perspective

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Feng, Yanmei, Huang, Yaohua, Zhan, Hui, Bhatt, Pankaj, Chen, Shaohua·2020·Frontiers in Microbiology

Abstract

Strobilurin fungicides have been widely used in agricultural fields for decades. These pesticides are designed to manage fungal pathogens, although their broad-spectrum mode of action also produces non-target impacts. Therefore, the removal of strobilurins from ecosystems has received much attention. Different remediation technologies have been developed to eliminate pesticide residues from soil/water environments, such as photodecomposition, ozonation, adsorption, incineration, and biodegradation. Compared with conventional methods, bioremediation is considered a cost-effective and ecofriendly approach for the removal of pesticide residues. Several strobilurin-degrading microbes and microbial communities have been reported to effectively utilize pesticide residues as a carbon and nitrogen source. The degradation pathways of strobilurins and the fate of several metabolites have been reported. Further in-depth studies based on molecular biology and genetics are needed to elaborate their role in the evolution of novel catabolic pathways and the microbial degradation of strobilurins. The present review summarizes recent progress in strobilurin degradation and comprehensively discusses the potential of strobilurin-degrading microorganisms in the bioremediation of contaminated environments.

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  • Microbial consortia perform better than axenic cultures due to the robustness of their metabolic functions.

    “In particular, microbial consortia perform better than axenic cultures due to the robustness of themetabolic functions (Chen et al., 2013; Bhatt et al., 2019; Feng et al., 2020).”

    From Biotransformation of perfluoroalkyl acid precursors from various environmental systems: advances and perspectives (2021) · cites this paper as Feng et al., 2020

    The “Microbial Degradation of Strobilurins” section (page unavailable) reports that two microbial communities could catabolize pyraclostrobin. It does not compare their performance with axenic cultures or attribute superior performance to robust metabolic functions. (LLM, conf=0.78)

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Authors
Feng, Y., Huang, Y., Zhan, H., Bhatt, P., & Chen, S.
Affiliations
South China Agricultural University (CN)
Corresponding author
Chen, Shaohua
Venue
Frontiers in Microbiology
Published
2020-03-12
Volume
11
Pages
389-389
ISSN
1664-302X (ISSN-L)
OpenAlex
W3011978942
Cited by
173
References
1
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FWCI
1.14
Type
journal article
Language
en
Open access
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  • Frontiers in Microbiology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
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Funders
National Natural Science Foundation of China
Topics
  • Physical Sciences › Environmental Science › Pollution › Pesticide and Herbicide Environmental Studies
  • Physical Sciences › Environmental Science › Pollution › Pharmaceutical and Antibiotic Environmental Impacts
  • Physical Sciences › Environmental Science › Environmental Chemistry › Environmental Chemistry and Analysis
Keywords
strobilurin fungicides, pesticide degradation, bioremediation, microbial communities, biodegradation pathways, pesticide residues, soil contamination, water pollution, photolysis, ozonation, adsorption, incineration, catabolic pathways

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 ›

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