ArticleBMC genomic data2023
De novo transcriptome assemblies of five major European oilseed rape insect pests.
Article in BMC genomic data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 6 citations in OpenAlex.
- De Novo transcriptome assembly of Diaprepes abbreviatus: foundations for functional genomics and targeted pest management.BMC genomics · 2025Article
- Chromosome-level genome assembly of the sap beetle Glischrochilus (Librodor) japonius (Coleoptera: Nitidulidae).Scientific data · 2025Article
- Molecular mechanisms and comparative transcriptomics of diapause in two corn rootworm species (Current research in insect science · 2025Article
- De novo transcriptome assemblies of five major European oilseed rape insect pests.BMC genomic data · 2023Article
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Authors and funding
5 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
objectiveInsect pests can cause severe losses in oilseed rape yields across Europe. Genomic and transcriptomic information is very limited for these insects. The aim of our study was to provide transcriptomic resources on several oilseed rape herbivores that will support research into their biology and help develop new methods of sustainable pest management. DATA: Transcriptomes for larval stages of five major European pest species were de novo assembled by Trinity assembler. Total number of transcripts ranged from 112,247 for Ceutorhynchus pallidactylus to 225,110 for Ceutorhyncus napi. Intermediate numbers of 140,588, 140,998 and 144,504, were found for Psylliodes chrysocephala, Dasineura brassicae, and Brassicogethes aeneus, respectively. Bench-marking universal single-copy orthologues analyses for each dataset indicated high degree of completeness for all five species. The transcriptomes extend the list of genomic data on insect larvae that constitute major pests of oilseed rape. The data provide information on larval physiology and form a basis to develop highly specific RNA interference-based plant protection.
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