Transketolase Is Identified as a Target of Herbicidal Substance α-Terthienyl by Proteomics

Zhao, Bin; Huo, Jingqian; Liu, Ning; Zhang, Jinlin; Dong, Jingao

doi:10.3390/toxins10010041

Cited by 21 publications

(26 citation statements)

References 44 publications

(42 reference statements)

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“…A remarkable lack of correlation between transcriptome and proteome results was observed, although the lack of correspondence between transcriptome and proteome data could be due to multiple factors (Duke et al 2013; Narayanan and Van de Ven 2014; Payne 2015). Similarly, Zhao et al (2018) found decreases in the transketolase protein of Arabidopsis treated with α-terthienyl, but the gene for this enzyme was upregulated by the same treatment. They hypothesized that the decrease in protein was due to direct interaction with α-terthienyl, which resulted in upregulation of the gene to compensate.…”

Section: Limitations Conclusion and Future Directionsmentioning

confidence: 83%

“…Likewise, amiprophos-methyl, a herbicide that affects microtubule function, had effects on proteins associated with diverse physiological and biochemical processes but not directly associated with tubulin (Wang et al 2011). More recently, the natural phytotoxin α-terthienyl was found to affect 16 proteins associated with energy transduction, of which the transketolase protein was greatly reduced (Zhao et al 2018). A transketolase-altered mutant was less sensitive to the phytotoxin, and the enzyme from the mutant was less inhibited by the compound.…”

Section: Integrated Omics Approaches To Understanding Phytotoxin Moamentioning

confidence: 99%

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Omics in Weed Science: A Perspective from Genomics, Transcriptomics, and Metabolomics Approaches

et al. 2018

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Modern high-throughput molecular and analytical tools offer exciting opportunities to gain a mechanistic understanding of unique traits of weeds. During the past decade, tremendous progress has been made within the weed science discipline using genomic techniques to gain deeper insights into weedy traits such as invasiveness, hybridization, and herbicide resistance. Though the adoption of newer “omics” techniques such as proteomics, metabolomics, and physionomics has been slow, applications of these omics platforms to study plants, especially agriculturally important crops and weeds, have been increasing over the years. In weed science, these platforms are now used more frequently to understand mechanisms of herbicide resistance, weed resistance evolution, and crop–weed interactions. Use of these techniques could help weed scientists to further reduce the knowledge gaps in understanding weedy traits. Although these techniques can provide robust insights about the molecular functioning of plants, employing a single omics platform can rarely elucidate the gene-level regulation and the associated real-time expression of weedy traits due to the complex and overlapping nature of biological interactions. Therefore, it is desirable to integrate the different omics technologies to give a better understanding of molecular functioning of biological systems. This multidimensional integrated approach can therefore offer new avenues for better understanding of questions of interest to weed scientists. This review offers a retrospective and prospective examination of omics platforms employed to investigate weed physiology and novel approaches and new technologies that can provide holistic and knowledge-based weed management strategies for future.

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Section: Limitations Conclusion and Future Directionsmentioning

confidence: 83%

Section: Integrated Omics Approaches To Understanding Phytotoxin Moamentioning

confidence: 99%

Omics in Weed Science: A Perspective from Genomics, Transcriptomics, and Metabolomics Approaches

et al. 2018

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“…Transketolase is a target for herbicide design [ 3 , 11 ], and it has a highly conserved homologous domain in higher plants and fungi. A total of 25 candidate molecules with binding affinities lower than −8.5 kcal/mol ( Table S1 ) were obtained from 1 million ZINC compounds after virtual screening.…”

Section: Resultsmentioning

confidence: 99%

Structure-Based Discovery and Synthesis of Potential Transketolase Inhibitors

et al. 2018

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Transketolase (TKL) plays a key role in plant photosynthesis and has been predicted to be a potent herbicide target. Homology modeling and molecular dynamics simulation were used to construct a target protein model. A target-based virtual screening was developed to discover novel potential transketolase inhibitors. Based on the receptor transketolase 1 and a target-based virtual screening combined with structural similarity, six new compounds were selected from the ZINC database. Among the structural leads, a new compound ZINC12007063 was identified as a novel inhibitor of weeds. Two novel series of carboxylic amide derivatives were synthesized, and their structures were rationally identified by NMR and HRMS. Biological evaluation of the herbicidal and antifungal activities indicated that the compounds 4u and 8h were the most potent herbicidal agents, and they also showed potent fungicidal activity with a relatively broad-spectrum. ZINC12007063 was identified as a lead compound of potential transketolase inhibitors, 4u and 8h which has the herbicidal and antifungal activities were synthesized based on ZINC12007063. This study lays a foundation for the discovery of new pesticides.

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“…TKT is a key enzyme in the Calvin cycle of photosynthesis and the pentose phosphate pathway in all organisms. The low amounts of TKT should repress the efficiency of Calvin cycle and pentose phosphate pathway, hindering the photosynthesis rate and resulting in plant death [58]. Thus, the TKT plays an important role in plant defense and growth.…”

Section: Discussionmentioning

confidence: 99%

Cytologic, Genetic, and Proteomic Analysis of a Yellow Leaf Mutant of Sesame (Sesamum indicumL.),Siyl-1

Gao

Sang

Chen

et al. 2018

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11Leaf color mutation in sesame always affects the growth and development of plantlets, and their 12 yield. To clarify the mechanisms underlying leaf color regulation in sesame, we analyzed a 13 yellow-green leaf mutant. Genetic analysis of the mutant selfing revealed 3 phenotypes-YY, 14 light-yellow (lethal); Yy, yellow-green; and yy, normal green-controlled by an incompletely 15 dominant nuclear gene, Siyl-1. In YY and Yy, the number and morphological structure of the 16 chloroplast changed evidently, with disordered inner matter, and significantly decreased 17 chlorophyll content. To explore the regulation mechanism of leaf color mutation, the proteins 18 expressed among YY, Yy, and yy were analyzed. All 98 differentially expressed proteins (DEPs) 19 were classified into 5 functional groups, in which photosynthesis and energy metabolism 20 (82.7%) occupied a dominant position. Our findings provide the basis for further molecular 21 mechanism and biochemical effect analysis of yellow leaf mutants in plants. 22 24which also contain numerous beneficial minerals, antioxidants, and multi-vitamins [1]. 25Compared with other oilseed crops, sesame is still a low yield crop with low harvest index. 26The key research objectives in sesame are to increase the photosynthesis efficiency and the 27 yield per square area. 28Leaf color is an important trait related with the chlorophyll content, and always affects the 29 photosynthesis efficiency and the final productivity [2]. In plants, the chloroplast structure 30 always alters the composition and content of photosynthetic pigments. Several studies on the 31 leaf color mutants have uncovered a wide range of leaf color mutation types [3]. Most 32 mutagenesis of leaf color were related to the structure and function of the chloroplast [4], 33 chlorophyll biosynthesis and degradation mechanisms [5], photosynthesis [6], chloroplast 34 developmental characteristics [7], genetics [8], and molecular mechanisms [9]. Furthermore, 35some mutants were used for crop breeding to higher biomass, quality, and/or other specific 36 characteristics [10]. There is a rich diversity of leaf color mutation types in plants [11][12][13][14]. 37Leaf color mutants were divided into five types according to the color classification albino, 38 yellowing, light-green, stripe, spot, etc [15, 16]. Falbel [12] divided the chlorophyll mutant 39 into two categories: (1) mutants that lack chlorophyll b, such as arabidopsis mutants [17], and 40(2) mutants with reduced synthesis of total chlorophyll and chlorophyll b; currently most 41 mutants belong to the latter category. Leaf color characteristics controlled by both nuclear 42 inheritance and cytoplasmic inheritance, may be a quantitative or a quality trait [18]. Most of 43 the leaf color variations are caused by nuclear gene mutation inducing a type of chlorophyll 44 deficiency in higher plants. The leaf color variations are mostly monogenic mutation, while a 45 handful of them are polygenic mutation. Among these mutations, the recessive mutations are 4...

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Transketolase Is Identified as a Target of Herbicidal Substance α-Terthienyl by Proteomics

Cited by 21 publications

References 44 publications

Omics in Weed Science: A Perspective from Genomics, Transcriptomics, and Metabolomics Approaches

Omics in Weed Science: A Perspective from Genomics, Transcriptomics, and Metabolomics Approaches

Structure-Based Discovery and Synthesis of Potential Transketolase Inhibitors

Cytologic, Genetic, and Proteomic Analysis of a Yellow Leaf Mutant of Sesame (Sesamum indicumL.),Siyl-1

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