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Improvement of genome assembly completeness and identification of novel full-length protein-coding genes by RNA-seq in the giant panda genome
- Source :
- Scientific Reports
- Publication Year :
- 2015
-
Abstract
- High-quality and complete gene models are the basis of whole genome analyses. The giant panda (Ailuropoda melanoleuca) genome was the first genome sequenced on the basis of solely short reads, but the genome annotation had lacked the support of transcriptomic evidence. In this study, we applied RNA-seq to globally improve the genome assembly completeness and to detect novel expressed transcripts in 12 tissues from giant pandas, by using a transcriptome reconstruction strategy that combined reference-based and de novo methods. Several aspects of genome assembly completeness in the transcribed regions were effectively improved by the de novo assembled transcripts, including genome scaffolding, the detection of small-size assembly errors, the extension of scaffold/contig boundaries and gap closure. Through expression and homology validation, we detected three groups of novel full-length protein-coding genes. A total of 12.62% of the novel protein-coding genes were validated by proteomic data. GO annotation analysis showed that some of the novel protein-coding genes were involved in pigmentation, anatomical structure formation and reproduction, which might be related to the development and evolution of the black-white pelage, pseudo-thumb and delayed embryonic implantation of giant pandas. The updated genome annotation will help further giant panda studies from both structural and functional perspectives.
- Subjects :
- 0301 basic medicine
Genome evolution
Sequence assembly
Computational biology
Genome
Contig Mapping
Article
03 medical and health sciences
biology.animal
Animals
Gene
Ailuropoda melanoleuca
Genetics
Multidisciplinary
biology
Contig
High-Throughput Nucleotide Sequencing
Proteins
Molecular Sequence Annotation
Genome project
030104 developmental biology
RNA
Transcriptome
Ursidae
Subjects
Details
- ISSN :
- 20452322
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- Scientific reports
- Accession number :
- edsair.doi.dedup.....7fe8dc203e584a008a5f667de2f76a74