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De novo transcriptome assembly and genome annotation of the fat-tailed dunnart (Sminthopsis crassicaudata).
Ibeh, Neke; Feigin, Charles Y; Frankenberg, Stephen R; McCarthy, Davis J; Pask, Andrew J; Gallego Romero, Irene.
Afiliación
  • Ibeh N; School of BioSciences, The University of Melbourne, Parkville, VIC, Australia.
  • Feigin CY; Melbourne Integrative Genomics, The University of Melbourne, Parkville, VIC, Australia.
  • Frankenberg SR; Bioinformatics and Cellular Genomics, St Vincent's Institute of Medical Research, Fitzroy, VIC, Australia.
  • McCarthy DJ; Human Genomics and Evolution, St Vincent's Institute of Medical Research, Fitzroy, VIC, Australia.
  • Pask AJ; School of BioSciences, The University of Melbourne, Parkville, VIC, Australia.
  • Gallego Romero I; Department of Environment and Genetics, La Trobe University, Bundoora, VIC, Australia.
GigaByte ; 2024: gigabyte118, 2024.
Article en En | MEDLINE | ID: mdl-38746537
ABSTRACT
Marsupials exhibit distinctive modes of reproduction and early development that set them apart from their eutherian counterparts and render them invaluable for comparative studies. However, marsupial genomic resources still lag far behind those of eutherian mammals. We present a series of novel genomic resources for the fat-tailed dunnart (Sminthopsis crassicaudata), a mouse-like marsupial that, due to its ease of husbandry and ex-utero development, is emerging as a laboratory model. We constructed a highly representative multi-tissue de novo transcriptome assembly of dunnart RNA-seq reads spanning 12 tissues. The transcriptome includes 2,093,982 assembled transcripts and has a mammalian transcriptome BUSCO completeness score of 93.3%, the highest amongst currently published marsupial transcriptomes. This global transcriptome, along with ab initio predictions, supported annotation of the existing dunnart genome, revealing 21,622 protein-coding genes. Altogether, these resources will enable wider use of the dunnart as a model marsupial and deepen our understanding of mammalian genome evolution.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: GigaByte Año: 2024 Tipo del documento: Article País de afiliación: Australia Pais de publicación: China
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: GigaByte Año: 2024 Tipo del documento: Article País de afiliación: Australia Pais de publicación: China