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Improved chromosome-level genome assembly of the Glanville fritillary butterfly (Melitaea cinxia) integrating Pacific Biosciences long reads and a high-density linkage map
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(2022) Improved chromosome-level genome assembly of the Glanville fritillary butterfly (Melitaea cinxia) integrating Pacific Biosciences long reads and a high-density linkage map. GigaScience, 11 . doi:10.1093/gigascience/giab097 ISSN 2047-217X. [ 🗎 Public]. [ (🔓): Yes ].
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WRAP-improved-chromosome-level genome-assembly-Glanville-fritillary-butterfly-(Melitaea cinxia)-integrating-Pacific-Biosciences-long-reads-high-density-linkage-map-Pellegrini-2022.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (6Mb) | Preview |
Official URL: http://dx.doi.org/10.1093/gigascience/giab097
Abstract
Background:
The Glanville fritillary (Melitaea cinxia) butterfly is a model system for metapopulation dynamics research in fragmented landscapes. Here, we provide a chromosome-level assembly of the butterfly's genome produced from Pacific Biosciences sequencing of a pool of males, combined with a linkage map from population crosses.
Results:
The final assembly size of 484 Mb is an increase of 94 Mb on the previously published genome. Estimation of the completeness of the genome with BUSCO indicates that the genome contains 92–94% of the BUSCO genes in complete and single copies. We predicted 14,810 genes using the MAKER pipeline and manually curated 1,232 of these gene models.
Conclusions:
The genome and its annotated gene models are a valuable resource for future comparative genomics, molecular biology, transcriptome, and genetics studies on this species.
| Item Type: | Journal Article | ||||||||||||||||||
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| Subjects: | Q Science > QH Natural history Q Science > QL Zoology |
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| Divisions: | Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) | ||||||||||||||||||
| Library of Congress Subject Headings (LCSH): | Melitaea, Butterflies, Genomes, Spatial ecology, Gene mapping | ||||||||||||||||||
| Journal or Publication Title: | GigaScience | ||||||||||||||||||
| Publisher: | Oxford University Press (OUP) | ||||||||||||||||||
| ISSN: | 2047-217X | ||||||||||||||||||
| Official Date: | 12 January 2022 | ||||||||||||||||||
| Dates: |
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| Volume: | 11 | ||||||||||||||||||
| DOI: | 10.1093/gigascience/giab097 | ||||||||||||||||||
| Status: | Peer Reviewed | ||||||||||||||||||
| Publication Status: | Published | ||||||||||||||||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||||||||||||||||
| Date of first compliant deposit: | 15 September 2022 | ||||||||||||||||||
| Date of first compliant Open Access: | 15 September 2022 | ||||||||||||||||||
| RIOXX Funder/Project Grant: |
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