A draft genome assembly of the agricultural pest Leucoptera coffeella and analysis of its dsRNA processing machinery is a key step toward RNAi-based biopesticides in Lepidoptera

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dc.contributorJAY K. GOLDBERG, ARIZONA STATE UNIVERSITY; LEONARDO A. VIDAL; ERICK S. L. QUEIROZ, UNIVERSIDADE DE BRASÍLIA; ELIZA F. M. B. NASCIMENTO, UNIVERSIDADE FEDERAL DE VIÇOSA; MARCOS JOSE ANDRADE VIANA, CNPAT; WELLINGTON R. CLARINDO, UNIVERSIDADE FEDERAL DE VIÇOSA; ANDREA Q. MARANHAO, UNIVERSIDADE DE BRASÍLIA; NATALIA FLORENCIO MARTINS, CNPAT; ERIKA VALERIA SALIBA ALBUQUERQUE FREIRE, CENARGEN.
dc.creatorGOLDBERG, J. K.
dc.creatorVIDAL, L. A.
dc.creatorQUEIROZ, E. S. L.
dc.creatorNASCIMENTO, E. F. M. B.
dc.creatorVIANA, M. J. A.
dc.creatorCLARINDO, W. R.
dc.creatorMARANHAO, A. Q.
dc.creatorMARTINS, N. F.
dc.creatorFREIRE, E. V. S. A.
dc.date2026-03-12T18:54:16Z
dc.date2026-03-12T18:54:16Z
dc.date2026-03-12
dc.date2026
dc.date.accessioned2026-06-30T23:05:52Z
dc.descriptionThe Coffee Leaf Miner (Lepidoptera: Lyonetiidae: Leucoptera coffeella) is a specialist herbivore and major global pest of coffee plants. Current pest control strategies primarily rely on chemical pesticides which in turn negatively impact both human health and ecological stability. Additionally, the emergence of insecticide-resistant populations underscores the urgent need for more specific and efficient pest management strategies. The development of novel techniques for controlling this insect pest requires rigorous interrogation of its physiology and interactions with host plants at a molecular/genetic level. To enable future research in this vein, we sequenced and assembled a draft L. coffeella genome using PacBio highly accurate long-reads (HiFi). Our assembly is comprised of 1,615 contigs showing fragmentation, yet the majority of gene content is represented (BUSCO complete = 91.7%). We annotated 17,467 protein-coding genes within our assembly, seven of which are core components of the small interfering RNA machinery. The expression of these genes was further confirmed via qPCR. This analysis—and the underlying genomic data—highlights potential targets for RNAi-based biopesticide development and will serve as the foundation for important future research aimed at protecting global coffee production from one of its most destructive pests.
dc.descriptionNa publicação: Érika V. S. Albuquerque.
dc.identifierG3, v. 16, n. 3, jkag003, 2026.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1185364
dc.identifier.urihttp://hdl.handle.net/123456789/374064
dc.languageeng
dc.rightsopenAccess
dc.subjectCoffee
dc.subjectInsect
dc.subjectLeaf miner
dc.subjectInterfering RNA
dc.subjectPest control
dc.subjectGenome assembly
dc.titleA draft genome assembly of the agricultural pest Leucoptera coffeella and analysis of its dsRNA processing machinery is a key step toward RNAi-based biopesticides in Lepidoptera
dc.typeArtigo de periódico

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