Biochemical and physiological mode of action of tiafenacil, a new protoporphyrinogen IX oxidase-inhibiting herbicide

Park, Joonghyuk; Ahn, Young Ock; Nam, Jeong-Won; Hong, Myoung-Ki; Song, Namsook; Kim, Taejoon; Yu, Gyung-Hee; Sung, Soon-Kee

doi:10.1016/j.pestbp.2018.08.010

Cited by 50 publications

(34 citation statements)

References 28 publications

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“…Tiafenacil is a new protoporphyrinogen IX oxidase (PPO)inhibiting, nonselective, contact herbicide that is a member of the pyrimidinedione family developed by FarmHannong Co., Ltd., Korea (Anonymous 2020; Park et al 2018). PPO inhibitors stop the production of protoporphyrin IX (PPIX) from protoporphyrinogen IX (PPGIX), thereby preventing chlorophyll and heme biosynthesis.…”

Section: Introductionmentioning

confidence: 99%

Efficacy of tiafenacil applied preplant alone or mixed with metribuzin for glyphosate-resistant horseweed control in soybean

Westerveld¹,

Soltani²,

Hooker³

et al. 2021

Weed Technol

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Tiafenacil is a recently developed protoporphyrinogen IX oxidase (PPO)-inhibiting herbicide from the pyrimidinedione chemical class that is proposed for use as a preplant (PP) burndown in soybean. Glyphosate-resistant (GR) horseweed is a troublesome weed often found in no-till systems that can dramatically reduce soybean yield; control in soybean has been variable. Five field experiments were conducted over 2019 and 2020 in commercial soybean fields with GR horseweed to determine the biologically-effective-dose (BED) of tiafenacil and tiafenacil + metribuzin, and to compare their efficacy to currently accepted industry standard herbicide treatments in identity-preserved (IP, non-GMO), GR, and glyphosate/dicamba-resistant (GDR) soybean systems. There was no soybean injury with treatments evaluated. The calculated doses of tiafenacil for 50, 80, and 95% control of GR horseweed control were 21, 147 and >200 g ai ha−1, respectively, at 8 weeks after application (WAA). Lower doses were calculated with the addition of metribuzin (400 g ai ha−1) to tiafenacil for 50 and 80% control, with no dose of tiafenacil + metribuzin providing 95% control. Tiafenacil + metribuzin at 25 + 400 and 50 + 400 g ai ha−1 controlled GR horseweed 88 and 93% , respectively which was similar to the industry standards of saflufenacil + metribuzin (25 + 400 g ai ha−1) and glyphosate/dicamba + saflufenacil (1200/600 + 25 g ai ha−1) that provided 98 to 100% control, respectively at 8 WAA. This study presents the potential utility of tiafenacil + metribuzin as a GR horseweed management strategy in soybean.

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Section: Introductionmentioning

confidence: 99%

Efficacy of tiafenacil applied preplant alone or mixed with metribuzin for glyphosate-resistant horseweed control in soybean

Westerveld¹,

Soltani²,

Hooker³

et al. 2021

Weed Technol

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“…For example, tiafenacil herbicide mechanism of action was predicted as protoporphyrinogen oxidase (PPG oxidase or protox) inhibition based on the proposed method (Forouzesh et al, 2015). Later, Park et al (2018) proved tiafenacil mechanism of action as an inhibitor of PPG oxidase or protox with an IC 50 of 22–28 nM through biochemical and physiological experiments. For example, the target and mechanism of action of ipfencarbazone herbicide were predicted as very long chain fatty acid (VLCFA) synthesis inhibition (K 3 group) and mitosis inhibition (15 group), respectively, on the basis of the proposed method (Forouzesh et al, 2015).…”

Section: Resultsmentioning

confidence: 99%

Reliable Target Prediction of Bioactive Molecules Based on Chemical Similarity Without Employing Statistical Methods

et al. 2019

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The prediction of biological targets of bioactive molecules from machine-readable materials can be routinely performed by computational target prediction tools (CTPTs). However, the prediction of biological targets of bioactive molecules from non-digital materials (e.g., printed or handwritten documents) has not been possible due to the complex nature of bioactive molecules and impossibility of employing computations. Improving the target prediction accuracy is the most important challenge for computational target prediction. A minimum structure is identified for each group of neighbor molecules in the proposed method. Each group of neighbor molecules represents a distinct structural class of molecules with the same function in relation to the target. The minimum structure is employed as a query to search for molecules that perfectly satisfy the minimum structure of what is guessed crucial for the targeted activity. The proposed method is based on chemical similarity, but only molecules that perfectly satisfy the minimum structure are considered. Structurally related bioactive molecules found with the same minimum structure were considered as neighbor molecules of the query molecule. The known target of the neighbor molecule is used as a reference for predicting the target of the neighbor molecule with an unknown target. A lot of information is needed to identify the minimum structure, because it is necessary to know which part(s) of the bioactive molecule determines the precise target or targets responsible for the observed phenotype. Therefore, the predicted target based on the minimum structure without employing the statistical significance is considered as a reliable prediction. Since only molecules that perfectly (and not partly) satisfy the minimum structure are considered, the minimum structure can be used without similarity calculations in non-digital materials and with similarity calculations (perfect similarity) in machine-readable materials. Nine tools (PASS online, PPB, SEA, TargetHunter, PharmMapper, ChemProt, HitPick, SuperPred, and SPiDER), which can be used for computational target prediction, are compared with the proposed method for 550 target predictions. The proposed method, SEA, PPB, and PASS online, showed the best quality and quantity for the accurate predictions.

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“…1220411-29-9) is a new contact uracil-based herbicide developed by Farm Hannong (South Korea). Tiafenacil mainly controls monocotyledons, dicotyledons, and glyphosate-resistant weeds [13], and is considered an alternative to glyphosate and paraquat [14]. Regarding the mechanism of action, tiafenacil inhibits the formation of protoporphyrinogen oxidase during chlorophyll synthesis, resulting in the accumulation of photosensitive protoporphyrinogen IX, while singlet oxygen generated causes lipid peroxidation, which leads to the loss of cell membrane function and, therefore, growth suppression or even plant death [15].…”

Section: Introductionmentioning

confidence: 99%

“…As a protoporphyrinogen oxidase inhibitor, tiafenacil is characterized by a low dosage, high specificity in plants, and low toxicity in animals, shows no irritation of human skin and eyes, and does not readily accumulate in the environment [16]. Since its emergence in South Korea in 2018, researchers have investigated tiafenacil in terms of its mechanism of action [13], synthetic process [17], and food safety [18]. Currently, the environmental behavior of this herbicide after field application remains poorly understood.…”

Section: Introductionmentioning

confidence: 99%

Dissipation of tiafenacil in five types of citrus orchard soils using the HPLC‐MS coupled with the quick, easy, cheap, effective, rugged, and safe method

Gao

Bian

Zhou

et al. 2021

J of Separation Science

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Tiafenacil is a new contact herbicide and its environmental behavior after field application remains poorly understood. In order to understand the dissipation of tiafenacil in the soil, the tiafenacil dissipation experiment was conducted at citrus orchard sites in five provinces of China (Gansu, Shandong, Sichuan, Jiangxi, and Hainan) in 2019 and 2020 (July-August) and the relevant determination methods were optimized. The results showed that the established method showed good linearity in the concentration range of 0.01-0.5 mg/kg. The average recoveries of tiafenacil from the five soils were 86.31-101.66%, with coefficients of variation of 0.28-10.79%. The dissipation of tiafenacil at the five experimental sites conformed to the first-order kinetic equation, C t = C 0 exp −kt (R 2 = 0.8130 -0.9967). The half-life of tiafenacil ranged from 0.26 to 4.19 days. The dissipation rate of tiafenacil was positively correlated with soil organic matter content and negatively correlated with soil pH, while monthly average temperature and total rainfall were less influential than soil properties. Therefore, the established method was simple and effective for tiafenacil residue analysis in citrus orchard soils. Tiafenacil could readily dissipate in soil and might be a safe alternative to glyphosate for weed control in citrus orchards.

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Biochemical and physiological mode of action of tiafenacil, a new protoporphyrinogen IX oxidase-inhibiting herbicide

Cited by 50 publications

References 28 publications

Efficacy of tiafenacil applied preplant alone or mixed with metribuzin for glyphosate-resistant horseweed control in soybean

Efficacy of tiafenacil applied preplant alone or mixed with metribuzin for glyphosate-resistant horseweed control in soybean

Reliable Target Prediction of Bioactive Molecules Based on Chemical Similarity Without Employing Statistical Methods

Dissipation of tiafenacil in five types of citrus orchard soils using the HPLC‐MS coupled with the quick, easy, cheap, effective, rugged, and safe method

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