Uncovers how cytochrome P450 genes influence high-temperature survival in Tuta absoluta under varying humidity, emphasizing pest management strategies.
Temperature and humidity are critical abiotic factors shaping the survival and adaptation of insect pests. However, the molecular mechanisms underlying high-temperature tolerance under contrasting humidity conditions remain poorly understood, particularly in globally invasive species such as the tomato pinworm, Tuta absoluta. Previous studies have examined individual stressors, leaving interactive thermo-hygrometric effects on gene expression and survival insufficiently resolved. Here, we assessed the contribution of cytochrome P450 genes to thermal adaptation under low- and high-humidity conditions using transcriptome profiling combined with nanocarrier-mediated RNA interference (RNAi). Third-instar larvae were exposed to high temperature under low humidity (HT-LH: 40 °C, 50% RH) or high humidity (HT-HH: 40 °C, 75% RH) for eight hours. Survival declined from 97.5% in the control to 74.16% under HT-LH and 68.33% under HT-HH conditions. Transcriptome analysis revealed extensive differential gene expression, with 464 genes upregulated and 565 downregulated in HT-LH, and 1145 upregulated and 1166 downregulated in HT-HH. Functional annotation highlighted pathways linked to metabolic regulation, proteostasis, and detoxification, including multiple cytochrome P450-associated processes. RT-qPCR confirmed the upregulation (3–5 fold) of four P450 genes (CYP6AB327, CYP6ABF1b, CYP6AE214, and CYP9A306c) under high temperature across both humidity regimes. RNAi-mediated silencing of these genes significantly reduced larval survival, demonstrating their functional role in thermal-hygrometric stress tolerance across. Cytochrome P450 genes underpin the adaptive capacity of the tomato pinworm to high-temperature stress across contrasting humidity conditions, highlighting RNAi-based disruption of P450 function as a promising avenue for sustainable pest management under climate change scenarios.
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Gul et al. (2026) studied this question.
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