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Electroantennogram and machine learning reveal a volatile blend mediating avoidance behavior by Tuta absoluta females to a wild tomato plant

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dc.contributor.author Raphael, Njurai Miano
dc.contributor.author Pascal, Mahukpe Ayelo
dc.contributor.author Richard, Musau
dc.contributor.author Ahmed, Hassanali
dc.contributor.author Samira, A. Mohamed
dc.date.accessioned 2022-09-01T09:15:48Z
dc.date.available 2022-09-01T09:15:48Z
dc.date.issued 2022
dc.identifier.uri https://www.nature.com/articles/s41598-022-13125-0
dc.description NA en_US
dc.description.abstract Tomato cultivation is threatened by the infestation of the nocturnal invasive tomato pinworm, Tuta absoluta. This study was based on field observations that a wild tomato plant, Solanum lycopersicum var. cerasiforme, grown in the Mount Kenya region, Kenya, is less attacked by T. absoluta, unlike the cultivated tomato plants like S. lycopersicum (var. Rambo F1). We hypothesized that the wild tomato plant may be actively avoided by gravid T. absoluta females because of the emission of repellent allelochemical constituents. Therefore, we compared infestation levels by the pest in field monocrops and intercrops of the two tomato genotypes, characterized the headspace volatiles, then determined the compounds detectable by the insect through gas chromatography-linked electroantennography (GC-EAG), and finally performed bioassays using a blend of four EAG-active compounds unique to the wild tomato. We found significant reductions in infestation levels in the monocrop of the wild tomato, and intercrops of wild and cultivated tomato plants compared to the monocrop of the cultivated tomato plant. Quantitative and qualitative differences were noted between volatiles of the wild and cultivated tomato plants, and between day and night volatile collections. The most discriminating compounds between the volatile treatments varied with the variable selection or machine learning methods used. In GC-EAG recordings, 16 compounds including hexanal, (Z)-3-hexenol, α-pinene, β-myrcene, α-phellandrene, β-phellandrene, (E)-β-ocimene, terpinolene, limonene oxide, camphor,citronellal, methyl salicylate, (E)-β-caryophyllene, and others tentatively identified as 3,7,7-Trimethyl-1,3,5-cycloheptatriene, germacrene D and cis-carvenone oxide were detected by antennae of T.absoluta females. Among these EAG-active compounds, (Z)-3-hexenol, α-pinene, α-phellandrene, limonene oxide, camphor, citronellal, (E)-β-caryophyllene and β-phellandrene are in the top 5 discriminating compounds highlighted by the machine learning methods. A blend of (Z)-3-hexenol,camphor, citronellal and limonene oxide detected only in the wild tomato showed dose-dependent repellence to T. absoluta females in wind tunnel. This study provides some groundwork for exploiting the allelochemicals of the wild tomato in the development of novel integrated pest management approaches against T. absoluta. en_US
dc.description.sponsorship German Federal Ministry for Economic Cooperation and Development (BMZ) Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) International Agricultural Research (FIA) Biovision Foundation Norwegian Agency for Development Cooperation Kenya National Research Fund (NRF-Kenya) United Kindom’s Foreign, Commonwealth and Development Office (FCDO) Swedish International Development Cooperation Agency (SIDA) Swiss Agency for Development and Cooperation (SDC) Kenyan Government and the Federal Democratic Republic of Ethiopia. International Centre for Insect Physiology and Ecology (icipe). en_US
dc.publisher Scientific Reports en_US
dc.rights Attribution-NonCommercial-ShareAlike 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/us/ *
dc.subject Electroantennogram en_US
dc.subject machine learning en_US
dc.subject volatile blend mediating en_US
dc.subject Tuta absoluta en_US
dc.title Electroantennogram and machine learning reveal a volatile blend mediating avoidance behavior by Tuta absoluta females to a wild tomato plant en_US
dc.type Article en_US


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