Back to Search
Start Over
In Utero Fetal Weight in Pigs Is Regulated by microRNAs and Their Target Genes.
- Source :
-
Genes [Genes (Basel)] 2021 Aug 19; Vol. 12 (8). Date of Electronic Publication: 2021 Aug 19. - Publication Year :
- 2021
-
Abstract
- Impaired skeletal muscle growth in utero can result in reduced birth weight and poor carcass quality in pigs. Recently, we showed the role of microRNAs (miRNAs) and their target genes in prenatal skeletal muscle development and pathogenesis of intrauterine growth restriction (IUGR). In this study, we performed an integrative miRNA-mRNA transcriptomic analysis in longissimus dorsi muscle (LDM) of pig fetuses at 63 days post conception (dpc) to identify miRNAs and genes correlated to fetal weight. We found 13 miRNAs in LDM significantly correlated to fetal weight, including miR-140, miR-186, miR-101, miR-15, miR-24, miR-29, miR-449, miR-27, miR-142, miR-99, miR-181, miR-199, and miR-210. The expression of these miRNAs decreased with an increase in fetal weight. We also identified 1315 genes significantly correlated to fetal weight at 63 dpc, of which 135 genes were negatively correlated as well as identified as potential targets of the above-listed 13 miRNAs. These miRNAs and their target genes enriched pathways and biological processes important for fetal growth, development, and metabolism. These results indicate that the transcriptomic profile of skeletal muscle can be used to predict fetal weight, and miRNAs correlated to fetal weight can serve as potential biomarkers of prenatal fetal health and growth.
- Subjects :
- Animals
Female
Fetal Development genetics
Fetal Growth Retardation physiopathology
Fetal Weight genetics
Gene Expression Regulation, Developmental genetics
High-Throughput Nucleotide Sequencing
Muscle, Skeletal embryology
Pregnancy
Swine
Transcriptome genetics
Fetal Growth Retardation genetics
MicroRNAs genetics
Muscle Development genetics
Muscle, Skeletal growth & development
Subjects
Details
- Language :
- English
- ISSN :
- 2073-4425
- Volume :
- 12
- Issue :
- 8
- Database :
- MEDLINE
- Journal :
- Genes
- Publication Type :
- Academic Journal
- Accession number :
- 34440438
- Full Text :
- https://doi.org/10.3390/genes12081264