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ARS Home » Plains Area » Clay Center, Nebraska » U.S. Meat Animal Research Center » Nutrition, Growth and Physiology » Research » Publications at this Location » Publication #374264

Research Project: Improve Nutrient Management and Efficiency of Beef Cattle and Swine

Location: Nutrition, Growth and Physiology

Title: Maternal energy restriction in early gestation affects MYOG network topology of bovine skeletal muscle

item DINIZ, WELLISON - North Dakota State University
item Crouse, Matthew
item Cushman, Robert - Bob
item CATON, JOEL - North Dakota State University
item DAHLEN, CARL - North Dakota State University
item REYNOLDS, LAWRENCE - North Dakota State University
item WARD, ALISON - North Dakota State University

Submitted to: Journal of Animal Science Supplement
Publication Type: Abstract Only
Publication Acceptance Date: 6/27/2020
Publication Date: 11/30/2020
Citation: Diniz, W.J., Crouse, M.S., Cushman, R.A., Caton, J., Dahlen, C.R., Reynolds, L.P., Ward, A.K. 2020. Maternal energy restriction in early gestation affects MYOG network topology of bovine skeletal muscle [abstract]. Journal of Animal Science. 98(Supplement 4):241.

Interpretive Summary:

Technical Abstract: Maternal nutrition has long-term consequences in muscle development through transcriptomic changes. Although gene expression differences were reported between dietary treatments, the relationship between genes and its role in the regulation of specific pathways is still limited. Herein, we performed a gene co-expression network (GCN) analysis to determine the relationship between maternal nutrition, gene expression, and the pathways that control skeletal muscle development. Gene expression was measured with RNA-Seq in 14 fetuses collected on day 50 of gestation from dams fed on a diet to either achieve 60% (RES, n = 7) or 100% (CON, n = 7) of NRC energy requirements. After data quality control, mapping, and normalization, we constructed a GCN for 14,205 genes by using the PCIT approach. The networks were built individually for CON and RES groups resulting in approximately 3 and 4 million significantly correlated pairs (P < 0.05), respectively. To reduce the network complexity, we selected those correlated genes (r > |0.95|) that were previously reported as differentially expressed for these animals. Although we identified a greater number of hub genes in the CON group (35 vs. 22), the connectivity degree was significantly higher in RES. The over-representation analysis pointed out different pathways between the exclusively connected genes from each group. Signaling pathways such as FoxO and AMPK underlay the CON group (n = 1,393 genes), whereas fatty acid metabolism, mTOR, and insulin were over-represented in the RES group (n = 2,453 genes). MYOG, a transcription factor required for myogenesis, was identified among the hub genes in both groups; however, it was 70.5% more connected and 33% more expressed in the RES group (P < 0.001). In summary, energy restriction likely modulates transcript abundance, specific functions, and consequently, muscle metabolism by affecting gene-specific sub-networks.