Journal article
Variant discovery in the sheepmeat odour and flavour in javanese fat tailed sheep using RNA sequencing
IOP Conference Series: Earth and Environmental Science, Vol.157, Art. 012030
2018
Abstract
High-throughput RNA sequencing (RNA-Seq) reveals new challenges for the detection of transcriptome variants (SNPs) in different tissues and species. The aims of this study was to characterize a SNP discovery analysis in the sheep meat odour and flavour transcriptome using RNA-Seq. Six liver samples from divergent sheep meat odour and flavour were analyzed using the Illumina Genome Hiseq 2500 Analyzer. The SNP detection analysis revealed 142 SNPs in sheep meat samples, and a large number of those corresponded to differences between high and low sheep meat odour and flavour ovis genome assembly OAR v4.0. Among them, about 90.4% of genes had multiple polymorphisms within 12 genes (JAML, ANGPTL8, LOC101103463, SEPW1, SCN5A, LOC101113036, DOCK6, GTSE1, KIF12, KCTD17, KANK2, CYP2A6). Several of the SNPs (JAML, CYP2A6, SEPW1, and KIF12) found in this study could be included as suitable markers in genotyping platforms to perform association analyses in commercial populations and apply genomic selection protocols in the sheep meat production.
Details
- Title
- Variant discovery in the sheepmeat odour and flavour in javanese fat tailed sheep using RNA sequencing
- Authors/Creators
- M.A.M. Abuzahra (Author/Creator). Jakaria (Author/Creator)K. Listyarini (Author/Creator)A. Furqon (Author/Creator)C. Sumantri (Author/Creator)M.J. Uddin (Author/Creator)A. Gunawan (Author/Creator)
- Publication Details
- IOP Conference Series: Earth and Environmental Science, Vol.157, Art. 012030
- Publisher
- IOP Science
- Identifiers
- 991005543054707891
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Journal article
- Additional Information
- Paper presented at 1st International Conference on Food Security and Sustainable Agriculture in The Tropics (IC-FSSAT) 24–25 October 2017, Sulawesi Selatan, Indonesia
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