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https://hdl.handle.net/2445/222333
Title: | Chromosomal Inversions in Chromosome U of Drosophila subobscura: A Story from Population Studies to Molecular Level |
Author: | Merayo, Mercè Delgado, Kenia M. Salguero, David Orengo Ferriz, Dorcas J. |
Keywords: | Drosòfila subobscura Polimorfisme (Zoologia) Genòmica Drosophila subobscura Polymorphism (Zoology) Genomics |
Issue Date: | 1-Jun-2025 |
Publisher: | MDPI |
Abstract: | Drosophila subobscura is a Palearctic species that colonized the west coast of South and North America in the last quarter of the 20th century. This species stands out for its large chromosomal inversion polymorphism that affects its five long chromosomes. Studies of natural populations revealed that the inversion polymorphism has an adaptive character and while the arrangement Ust was classified as adapted to cold, other arrangements, such as U1+2+6 and U1+8+2, were considered warm adapted. Characterization of the inversion breakpoints will allow a first approach to the genes included in the inversions and to find candidates to be affected by selection. In this work, we take advantage of the existence of a reference genomic sequence carrying the U1+2 arrangement to locate the breakpoints of the U6 and U8 inversions, mapping paired-end Illumina reads from two homokaryotypic strains to U1+2+6 and U1+8+2, respectively. To date, most of the characterized inversion breakpoints in D. subobscura have been generated by non-homologous end-joining. In contrast, the U6 and U8 inversions seem to have originated by transposons, and, at the distal breakpoint of inversion U8, we describe a new fold-back-like element characteristic of the suboscura species group that we have named Ziga-Zaga. |
Note: | Reproducció del document publicat a: https://doi.org/10.3390/insects16060586 |
It is part of: | Insects, 2025, vol. 16, num.6, p. 1-17 |
URI: | https://hdl.handle.net/2445/222333 |
Related resource: | https://doi.org/10.3390/insects16060586 |
ISSN: | 2075-4450 |
Appears in Collections: | Articles publicats en revistes (Genètica, Microbiologia i Estadística) |
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