Population-scale long-read sequencing uncovers transposable elements associated with gene expression variation and adaptive signatures in Drosophila

dc.contributor.authorRech, Gabriel E.
dc.contributor.authorRadío, Santiago
dc.contributor.authorGuirao Rico, Sara
dc.contributor.authorAguilera, Laura
dc.contributor.authorHorvath, Vivien
dc.contributor.authorGreen, Llewellyn
dc.contributor.authorLindstadt, Hannah
dc.contributor.authorJamilloux, Véronique
dc.contributor.authorQuesneville, Hadi
dc.contributor.authorGonzález, Josefa
dc.date.accessioned2022-05-11T13:34:27Z
dc.date.available2022-05-11T13:34:27Z
dc.date.issued2022-04-12
dc.date.updated2022-05-11T13:34:27Z
dc.description.abstractHigh quality reference genomes are crucial to understanding genome function, structure and evolution. The availability of reference genomes has allowed us to start inferring the role of genetic variation in biology, disease, and biodiversity conservation. However, analyses across organisms demonstrate that a single reference genome is not enough to capture the global genetic diversity present in populations. In this work, we generate 32 high-quality reference genomes for the well-known model species D. melanogaster and focus on the identification and analysis of transposable element variation as they are the most common type of structural variant. We show that integrating the genetic variation across natural populations from five climatic regions increases the number of detected insertions by 58%. Moreover, 26% to 57% of the insertions identified using long-reads were missed by short-reads methods. We also identify hundreds of transposable elements associated with gene expression variation and new TE variants likely to contribute to adaptive evolution in this species. Our results highlight the importance of incorporating the genetic variation present in natural populations to genomic studies, which is essential if we are to understand how genomes function and evolve.
dc.format.extent16 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec723334
dc.identifier.issn2041-1723
dc.identifier.urihttps://hdl.handle.net/2445/185555
dc.language.isoeng
dc.publisherNature Publishing Group
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1038/s41467-022-29518-8
dc.relation.ispartofNature Communications, 2022, vol. 13, num. 1948, p. 1-16
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/647900/EU//DROSADAPTATION
dc.relation.urihttps://doi.org/10.1038/s41467-022-29518-8
dc.rightscc-by (c) Rech, Gabriel E. et al., 2022
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceArticles publicats en revistes (Genètica, Microbiologia i Estadística)
dc.subject.classificationDrosòfila
dc.subject.classificationExpressió gènica
dc.subject.otherDrosophila
dc.subject.otherGene expression
dc.titlePopulation-scale long-read sequencing uncovers transposable elements associated with gene expression variation and adaptive signatures in Drosophila
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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