Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/14031
Title: Microrna Profiling in Cattle Divergently Selected for Residual Feed Intake
Contributor(s): Al-Husseini, Wijdan (author); Gondro, Cedric  (author)orcid ; Herd, Robert M  (author)orcid ; Gibson, John  (author); Arthur, P F (author); Chen, Yizhou (author)
Publication Date: 2013
Handle Link: https://hdl.handle.net/1959.11/14031
Abstract: MicroRNAs (miRNAs) are short non-coding RNAs that post-transcriptionally regulate expression of mRNAs in many biological pathways. Here we report comprehensive miRNA profiles by deep sequencing in Angus cattle divergently selected for residual feed intake (RFI). Two miRNA libraries were constructed from pooled RNA extracted from livers of low and high RFI cattle, and sequenced with the Illumina Genome Analyser. We identified 305 known bovine miRNAs. bta-miR-143, bta-miR-30, bta-miR-122, bta-miR-378 and bta-let-7 were the top 5 most abundant miRNA families expressed in liver, representing more than 63% of expressed miRNAs. Mir-143 is the most expressed bovine miRNA in liver, and is up-regulated in high RFI cattle. Mir-122 is the second most expressed miRNA in liver and is down regulated in high RFI animals. The differentially expressed miRNAs may play important roles in the regulation of the bioprocesses responsible for variation in RFI in cattle.
Publication Type: Conference Publication
Conference Details: AAABG 2013: 20th Conference of the Association for the Advancement of Animal Breeding and Genetics: Translating Science into Action, Napier, New Zealand, 20th - 23rd October, 2013
Source of Publication: Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.20, p. 368-371
Publisher: Association for the Advancement of Animal Breeding and Genetics (AAABG)
Place of Publication: Armidale, Australia
ISSN: 1328-3227
Fields of Research (FoR) 2008: 060405 Gene Expression (incl Microarray and other genome-wide approaches)
Fields of Research (FoR) 2020: 310505 Gene expression (incl. microarray and other genome-wide approaches)
Socio-Economic Objective (SEO) 2008: 970106 Expanding Knowledge in the Biological Sciences
Socio-Economic Objective (SEO) 2020: 280102 Expanding knowledge in the biological sciences
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Publisher/associated links: http://www.aaabg.org/aaabghome/proceedings20.php
Appears in Collections:Conference Publication

Files in This Item:
3 files
File Description SizeFormat 
Show full item record

Page view(s)

1,076
checked on Mar 9, 2023
Google Media

Google ScholarTM

Check


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.