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Aleurocanthus spiniferus (Quaintance) (Hemiptera: Aleyrodidae) has rapidly spread, mainly in the central and eastern Mediterranean coastal area, infesting various new host plants alongside known ones. This invasive species poses a significant threat to agricultural ecosystems, necessitating urgent action to monitor and control outbreaks in previously pest-free areas. While entomological and morphological recognitions are crucial for initial detection, challenges often arise in quickly identifying different developmental stages or genus-level distinctions, particularly in surveys conducted by personnel with limited entomological skills. Due to these challenges, a qPCR probe protocol was developed to enhance the diagnostic capacity of laboratories responsible for the territorial control of pests. This biomolecular tool integrates morphological surveys, enabling prompt and reliable proof of A. spiniferus presence in free areas, delimited territories, or during phytosanitary import inspections. The protocol's high analytical specificity, inclusivity, and exclusivity ensure accurate identification of A. spiniferus, while its low limit of detection and high repeatability and reproducibility reinforce its utility as a standardized diagnostic method. By facilitating prompt and targeted control efforts, this innovative approach strengthens the resilience of agricultural systems against the widespread threat of A. spiniferus infestations. [ABSTRACT FROM AUTHOR]

Aleurocanthus spiniferus (Quaintance) (Hemiptera: Aleyrodidae) has rapidly spread, mainly in the central and eastern Mediterranean coastal area, infesting various new host plants alongside known ones. This invasive species poses a significant threat to agricultural ecosystems, necessitating urgent action to monitor and control outbreaks in previously pest-free areas. While entomological and morphological recognitions are crucial for initial detection, challenges often arise in quickly identifying different developmental stages or genus-level distinctions, particularly in surveys conducted by personnel with limited entomological skills. Due to these challenges, a qPCR probe protocol was developed to enhance the diagnostic capacity of laboratories responsible for the territorial control of pests. This biomolecular tool integrates morphological surveys, enabling prompt and reliable proof of A. spiniferus presence in free areas, delimited territories, or during phytosanitary import inspections. The protocol’s high analytical specificity, inclusivity, and exclusivity ensure accurate identification of A. spiniferus, while its low limit of detection and high repeatability and reproducibility reinforce its utility as a standardized diagnostic method. By facilitating prompt and targeted control efforts, this innovative approach strengthens the resilience of agricultural systems against the widespread threat of A. spiniferus infestations.

We report the first occurrence of the orange spiny whitefly (Aleurocanthus spiniferus; OSW) on the tree of heaven (Ailanthus altissima) in Bari, Apulia region, Italy. After our first observation in 2016, the infestation recurred regularly during the following years and expanded to the neighboring trees. Since then, we have also found the insect on numerous patches of the tree of heaven and other plant species in the Bari province. Nevertheless, the tree of heaven was not particularly threatened by the insect, so that a possible contribution by OSW for the control of such an invasive plant cannot be hypothesized hitherto. This work was also aimed at profiling the microbiome of OSW feeding on A. altissima. For this purpose, we used the denaturing gradient gel electrophoresis (DGGE) and the deep sequencing of small RNAs (sRNAs). Both techniques unveiled the presence of “Candidatus Portiera” (primary endosymbiont), Wolbachia sp. and Rickettsia sp., endosymbionts already reported for other Aleyrodidae. Deep sequencing data were analyzed by four computational pipelines in order to understand the reliability of the detection of fungi, bacteria, and viruses: Kraken, Kaiju, Velvet, and VelvetOptimiser. Some contigs assembled by Velvet or VelvetOptimiser were associated with insects, but not necessarily in the Aleurocanthus genus or Aleyrodidae family, suggesting the non-specificity of sRNAs or possible traces of parasitoids in the sample (e.g., Eretmocerus sp.). Finally, deep sequencing data were used to describe the microtranscriptome of OSW: 56 canonical and at least four high-confidence novel microRNAs (miRNAs) were identified. The overall miRNA abundance in OSW was in agreement with previous works on Bemisia tabaci, and bantam-3p, miR-276a-3p, miR-317-3p, miR-750-3p, and mir-8-3p were the most represented miRNAs.

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We report the first occurrence of the orange spiny whitefly (Aleurocanthus spiniferus; OSW) on the tree of heaven (Ailanthus altissima) in Bari, Apulia region, Italy. After our first observation in 2016, the infestation recurred regularly during the following years and expanded to the neighboring trees. Since then, we have also found the insect on numerous patches of the tree of heaven and other plant species in the Bari province. Nevertheless, the tree of heaven was not particularly threatened by the insect, so that a possible contribution by OSW for the control of such an invasive plant cannot be hypothesized hitherto. This work was also aimed at profiling the microbiome of OSW feeding on A. altissima. For this purpose, we used the denaturing gradient gel electrophoresis (DGGE) and the deep sequencing of small RNAs (sRNAs). Both techniques unveiled the presence of "Candidatus Portiera" (primary endosymbiont), Wolbachia sp. and Rickettsia sp., endosymbionts already reported for other Aleyrodidae. Deep sequencing data were analyzed by four computational pipelines in order to understand the reliability of the detection of fungi, bacteria, and viruses: Kraken, Kaiju, Velvet, and VelvetOptimiser. Some contigs assembled by Velvet or VelvetOptimiser were associated with insects, but not necessarily in the Aleurocanthus genus or Aleyrodidae family, suggesting the non-specificity of sRNAs or possible traces of parasitoids in the sample (e.g., Eretmocerus sp.). Finally, deep sequencing data were used to describe the microtranscriptome of OSW: 56 canonical and at least four high-confidence novel microRNAs (miRNAs) were identified. The overall miRNA abundance in OSW was in agreement with previous works on Bemisia tabaci, and bantam-3p, miR-276a-3p, miR-317-3p, miR-750-3p, and mir-8-3p were the most represented miRNAs. [ABSTRACT FROM AUTHOR]