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Influence of molecular descriptors of plant volatilomics on fumigant action against the three major stored product beetle pests

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Abstract

Plant volatilomics such as essential oils (EOs) and volatile phytochemicals (PCs) are known as potential natural sources for the development of biofumigants as an alternative to conventional fumigant pesticides. This present work was aimed to evaluate the fumigant toxic effect of five selected EOs (cinnamon, garlic, lemon, orange, and peppermint) and PCs (citronellol, limonene, linalool, piperitone, and terpineol) against the Callosobruchus maculatus, Sitophilus oryzae, and Tribolium castaneum adults. Furthermore, for the estimation of the relationship between molecular descriptors and fumigant toxicity of plant volatiles, quantitative structural activity relationship (QSAR) models were developed using principal component analysis and multiple linear regression. Amongst the tested EOs, garlic EO was found to be the most toxic fumigant. The PCs toxicity analysis revealed that terpineol, limonene, linalool, and piperitone as potential fumigants to C. maculatus (< 20 µL/L air of LC50), limonene and piperitone as potential fumigants to T. castaneum (14.35 and 154.11 µL/L air of LC50, respectively), and linalool and piperitone as potential fumigants to S. oryzae (192.27 and 69.10 µL/L air of LC50, respectively). QSAR analysis demonstrated the role of various molecular descriptors of EOs and PCs on the fumigant toxicity in insect pest species. In specific, dipole and Randic index influence the toxicity in C. maculatus, molecular weight and maximal projection area influence the toxicity in S. oryzae, and boiling point and Dreiding energy influence the toxicity in T. castaneum. The present findings may provide insight of a new strategy to select effective EOs and/or PCs against stored product insect pests.

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Data availability

The datasets used in the current study are available upon reasonable request from the corresponding author.

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Acknowledgements

The authors are grateful to the Director, CSIR-Central Food Technological Research Institute, Mysuru, for providing support and facilities for the present study. First author greatly acknowledges the University Grants Commission, Government of India for the Senior Research Fellowship. The authors extend thanks to Mr. M. Bavani Eswaran, CIFS, CSIR-CFTRI for his technical support in GC-MS analysis.

Funding

This research was supported by the Council of Scientific and Industrial Research (CSIR), Ministry of Science and Technology, Government of India, New Delhi, under the scheme CSIR-Fundamental and Innovative Research in Science of Tomorrow (CSIR-FIRST) (Grant Ref. No. MLP300).

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The study was conceptualized and supervised by Subramanian Ezhil Vendan. The experimentation and data analysis were performed by Madhurya Lokesh. The manuscript was written by Madhurya Lokesh, Urvashi Sahu, and Aswathi Kozhissery Sreekrishnakumar. Subramanian Ezhil Vendan reviewed and edited the manuscript as well as acquired fund.

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Correspondence to Subramanian Ezhil Vendan.

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All authors agreed with the content and all gave explicit consent to submit. The authors obtained consent from the responsible authorities at the institute where the work has been carried out (Ref. No. PMC/MSAF/08; 2023–24/197 dt. 17.10.2023; CSIR-CFTRI, Mysuru).

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The authors declare no competing interests.

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Lokesh, M., Sreekrishnakumar, A.K., Sahu, U. et al. Influence of molecular descriptors of plant volatilomics on fumigant action against the three major stored product beetle pests. Environ Sci Pollut Res (2024). https://doi.org/10.1007/s11356-024-33483-8

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  • DOI: https://doi.org/10.1007/s11356-024-33483-8

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