Comprehensive insights into herbicide resistance mechanisms in weeds: a synergistic integration of transcriptomic and metabolomic analyses

Sen, Madhab Kumar; Bhattacharya, Soham; Bharati, Rohit; Hamouzová, Katerina; Soukup, Josef

doi:10.3389/fpls.2023.1280118

Cited by 7 publications

(1 citation statement)

References 74 publications

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“…However, in recent years, with the significant advancement and reduction in sequencing costs, crop breeders have shifted their focus towards omics-based strategies. The main advantage of multi-omics data in the genomic selection approach is its ability to enhance prediction accuracy by capturing diverse molecular interactions and factors influencing phenotypic traits ( Ye et al., 2020 ; Sen et al., 2023 ). Although utilization of multi-omics data for GS in grapevine is lacking, transcriptome and metabolome data have been used for GS in maize breeding ( Guo et al., 2016 ; Westhues et al., 2017 ).…”

Section: Choosing the Best Individual: Omics Based Genomic Selection ...mentioning

confidence: 99%

Polyploidization and genomic selection integration for grapevine breeding: a perspective

Bharati,

Sen,

Severová

et al. 2023

Front. Plant Sci.

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Grapevines are economically important woody perennial crops widely cultivated for their fruits that are used for making wine, grape juice, raisins, and table grapes. However, grapevine production is constantly facing challenges due to climate change and the prevalence of pests and diseases, causing yield reduction, lower fruit quality, and financial losses. To ease the burden, continuous crop improvement to develop superior grape genotypes with desirable traits is imperative. Polyploidization has emerged as a promising tool to generate genotypes with novel genetic combinations that can confer desirable traits such as enhanced organ size, improved fruit quality, and increased resistance to both biotic and abiotic stresses. While previous studies have shown high polyploid induction rates in Vitis spp., rigorous screening of genotypes among the produced polyploids to identify those exhibiting desired traits remains a major bottleneck. In this perspective, we propose the integration of the genomic selection approach with omics data to predict genotypes with desirable traits among the vast unique individuals generated through polyploidization. This integrated approach can be a powerful tool for accelerating the breeding of grapevines to develop novel and improved grapevine varieties.

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Section: Choosing the Best Individual: Omics Based Genomic Selection ...mentioning

confidence: 99%

Polyploidization and genomic selection integration for grapevine breeding: a perspective

Bharati,

Sen,

Severová

et al. 2023

Front. Plant Sci.

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Strategic lead compound design and development utilizing computer‐aided drug discovery (CADD) to address herbicide‐resistant Phalaris minor in wheat fields

Rani,

Rajak,

Mahato

et al. 2024

Pest Management Science

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Wheat (Triticum aestivum) is a vital cereal crop and a staple food source worldwide. However, wheat grain productivity has significantly declined as a consequence of infestations by Phalaris minor. Traditional weed control methods have proven inadequate owing to the physiological similarities between P. minor and wheat during early growth stages. Consequently, farmers have turned to herbicides, targeting acetyl‐CoA carboxylase (ACCase), acetolactate synthase (ALS) and photosystem II (PSII). Isoproturon targeting PSII was introduced in mid‐1970s, to manage P. minor infestations. Despite their effectiveness, the repetitive use of these herbicides has led to the development of herbicide‐resistant P. minor biotypes, posing a significant challenge to wheat productivity. To address this issue, there is a pressing need for innovative weed management strategies and the discovery of novel herbicide molecules. The integration of computer‐aided drug discovery (CADD) techniques has emerged as a promising approach in herbicide research, that facilitates the identification of herbicide targets and enables the screening of large chemical libraries for potential herbicide‐like molecules. By employing techniques such as homology modelling, molecular docking, molecular dynamics simulation and pharmacophore modelling, CADD has become a rapid and cost‐effective medium to accelerate the herbicide discovery process significantly. This approach not only reduces the dependency on traditional experimental methods, but also enhances the precision and efficacy of herbicide development. This article underscores the critical role of bioinformatics and CADD in developing next‐generation herbicides, offering new hope for sustainable weed management and improved wheat cultivation practices. © 2024 Society of Chemical Industry.

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Catalyzing innovation: Exploring iron oxide nanoparticles - Origins, advancements, and future application horizons

Kumar,

Thakur,

Kumar

et al. 2024

Coordination Chemistry Reviews

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Comprehensive insights into herbicide resistance mechanisms in weeds: a synergistic integration of transcriptomic and metabolomic analyses

Cited by 7 publications

References 74 publications

Polyploidization and genomic selection integration for grapevine breeding: a perspective

Polyploidization and genomic selection integration for grapevine breeding: a perspective

Strategic lead compound design and development utilizing computer‐aided drug discovery (CADD) to address herbicide‐resistant Phalaris minor in wheat fields

Catalyzing innovation: Exploring iron oxide nanoparticles - Origins, advancements, and future application horizons

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