» Articles » PMID: 23419046

Identification of Differences in MicroRNA Transcriptomes Between Porcine Oxidative and Glycolytic Skeletal Muscles

Overview
Journal BMC Mol Biol
Publisher Biomed Central
Specialty Molecular Biology
Date 2013 Feb 20
PMID 23419046
Citations 28
Authors
Affiliations
Soon will be listed here.
Abstract

Background: MicroRNAs (miRNAs) are a type of non-coding small RNA ~22 nucleotides in length that regulate the expression of protein coding genes at the post-transcriptional level. Glycolytic and oxidative myofibers, the two main types of skeletal muscles, play important roles in metabolic health as well as in meat quality and production in the pig industry. Previous expression profile studies of different skeletal muscle types have focused on these aspects of mRNA and proteins; nonetheless, an explanation of the miRNA transcriptome differences between these two distinct muscles types is long overdue.

Results: Herein, we present a comprehensive analysis of miRNA expression profiling between the porcine longissimus doris muscle (LDM) and psoas major muscle (PMM) using a deep sequencing approach. We generated a total of 16.62 M (LDM) and 18.46 M (PMM) counts, which produced 15.22 M and 17.52 M mappable sequences, respectively, and identified 114 conserved miRNAs and 89 novel miRNA*s. Of 668 unique miRNAs, 349 (52.25%) were co-expressed, of which 173 showed significant differences (P < 0.01) between the two muscle types. Muscle-specific miR-1-3p showed high expression levels in both libraries (LDM, 32.01%; PMM, 20.15%), and miRNAs that potentially affect metabolic pathways (such as the miR-133 and -23) showed significant differences between the two libraries, indicating that the two skeletal muscle types shared mainly muscle-specific miRNAs but expressed at distinct levels according to their metabolic needs. In addition, an analysis of the Gene Ontology (GO) terms and KEGG pathway associated with the predicted target genes of the differentially expressed miRNAs revealed that the target protein coding genes of highly expressed miRNAs are mainly involved in skeletal muscle structural development, regeneration, cell cycle progression, and the regulation of cell motility.

Conclusion: Our study indicates that miRNAs play essential roles in the phenotypic variations observed in different muscle fiber types.

Citing Articles

Transcriptomic Profiling of Meat Quality Traits of Skeletal Muscles of the Chinese Indigenous Huai Pig and Duroc Pig.

Li X, Lu L, Tong X, Li R, Jin E, Ren M Genes (Basel). 2023; 14(8).

PMID: 37628600 PMC: 10454112. DOI: 10.3390/genes14081548.


Comparative Transcriptome Analysis of Slow-Twitch and Fast-Twitch Muscles in Dezhou Donkeys.

Li Y, Ma Q, Shi X, Yuan W, Liu G, Wang C Genes (Basel). 2022; 13(9).

PMID: 36140778 PMC: 9498731. DOI: 10.3390/genes13091610.


Liquid Biopsy for Cancer Cachexia: Focus on Muscle-Derived microRNAs.

Belli R, Ferraro E, Molfino A, Carletti R, Tambaro F, Costelli P Int J Mol Sci. 2021; 22(16).

PMID: 34445710 PMC: 8396502. DOI: 10.3390/ijms22169007.


Transcriptomic analysis of the trade-off between endurance and burst-performance in the frog Xenopus allofraseri.

Ducret V, Richards A, Videlier M, Scalvenzi T, Moore K, Paszkiewicz K BMC Genomics. 2021; 22(1):204.

PMID: 33757428 PMC: 7986297. DOI: 10.1186/s12864-021-07517-1.


LncRNA IMFlnc1 promotes porcine intramuscular adipocyte adipogenesis by sponging miR-199a-5p to up-regulate CAV-1.

Wang J, Chen M, Chen J, Ren Q, Zhang J, Cao H BMC Mol Cell Biol. 2020; 21(1):77.

PMID: 33148167 PMC: 7640402. DOI: 10.1186/s12860-020-00324-8.


References
1.
Huang D, Sherman B, Lempicki R . Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc. 2009; 4(1):44-57. DOI: 10.1038/nprot.2008.211. View

2.
Rauhut R, Lendeckel W, Tuschl T . Identification of novel genes coding for small expressed RNAs. Science. 2001; 294(5543):853-8. DOI: 10.1126/science.1064921. View

3.
Lin J, Wu H, Tarr P, Zhang C, Wu Z, Boss O . Transcriptional co-activator PGC-1 alpha drives the formation of slow-twitch muscle fibres. Nature. 2002; 418(6899):797-801. DOI: 10.1038/nature00904. View

4.
Okumura N, Hashida-Okumura A, Kita K, Matsubae M, Matsubara T, Takao T . Proteomic analysis of slow- and fast-twitch skeletal muscles. Proteomics. 2005; 5(11):2896-906. DOI: 10.1002/pmic.200401181. View

5.
Chan S, Slack F . microRNA-mediated silencing inside P-bodies. RNA Biol. 2006; 3(3):97-100. DOI: 10.4161/rna.3.3.3499. View