Correlations between mitochondrial respiration activity and residual feed intake after divergent genetic selection for high‐ and low‐ oxygen consumption in mice

Abstract

The aims of the present study were to identify the differences between two mouse lines (high (H)‐ and low (L)‐oxygen consumption) in terms of mitochondrial respiratory activity when GMP (glutamate, malate, and pyruvate) and succinic acid are used as substrates and to examine the relationship between mitochondrial respiration activity and feed efficiency in both lines. The average daily feed intake, feed conversion ratio (FCR), and residual feed intake (RFI) were significantly higher in the H than the L line. The correlation between FCR and RFI was significant (r = 0.60, p < 0.05). RFI was effective as an indicator of feed efficiency. When succinic acid was used as a substrate, mitochondrial respiration states 2–4, ACR, and proton leak were significantly higher in the H than the L line. When GMP was used as a substrate, respiration states 3 and 4 in the H line were significantly higher than those in the L line, and there were significant positive correlations between FCR and RFI and mitochondrial respiration states 2–4. The results indicated that selection for high or low OC changed the basal metabolic rates estimated from liver mitochondrial respiration activity and feed efficiency.

Genetic and genomic analysis of oxygen consumption in mice

“…The extracted 2,792 genes included, for example, Ndufa12 gene which is thought to be related to complex I controlling the electron transfer system (e.g., Rak & Rustin, 2014); Sdhc gene which is thought to be related to complex II (e.g., Ishii et al, 2005); Uqcc3 gene which is thought to be related to complex III (e.g., Yang et al, 2020), and Atp10b gene related to ATP synthase (e.g., Smolders & Broeckhoven, 2020). These results might explain the differences in hepatic mitochondrial respiratory rate and proton leak level between HOC and LOC lines found in previous studies (Darhan et al, 2019;Hong et al, 2015).…”

“…Genetics Selection Evolution, 24, 487-509. https://doi.org/10.1186/1297-9686-24-6-487 Meyer, K., & Tier, B. (2012 (Darhan et al, 2017(Darhan et al, , 2019Hong et al, 2013Hong et al, , 2015. OCMBW: OC per metabolic body weight; AgH and AgL: high and low aggressive lines established by divergent selection by Kawamoto et al (1993).…”

“…In this population, there were periods when the indicator traits for selection differed between lines, due to that the purpose of the selection experiment was to produce two mice lines with different OC without changing BW and that correlated responses in BW were observed (Figures 2, 3, Table 3). In such cases, restricted selection on OC and BW might be more effective (Kempthorne & Nordskog, 1959;Satoh, 2019;Yamada et al, 1975).…”

“…Using mice at G16, Darhan et al (2017) reported that MER estimated based on the method of Eggert and Nielsen (2006) tended to be higher in HOC line, that fat percentage was significantly higher in LOC lime, and that moisture, ash, and protein percentage were significantly higher in HOC line. Using mice at several generations before G17, Hong et al, (2015) and Darhan et al (2019) showed that feed intake, feed conversion rate, and RFI were significantly lower in LOC line mice, together with revealing the difference in mitochondrial respiration activity between the lines. Nonetheless, it remains unresolved whether the observed change in mitochondrial respiration activity could be explained by the inheritance of autosome or mitochondrial DNA (or perhaps both or none).…”

Genetic Contributions of Genes on Sex Chromosomes and Mitochondrial DNA in a Pedigreed Population

“…Recent studies have investigated genetic improvement of novel traits, including fertility and disease resistance (e.g., [23][24][25]), with lower estimated heritabilities than those of production traits (e.g., [5,26,27]). An increasing number of studies have examined the relationships of sex chromosomes and mitochondria with gametogenesis, embryogenesis, immune function, feed efficiency, and heat stress (e.g., [28][29][30][31][32][33]). These facts suggest the importance of non-autosomal genetic materials (e.g., [34][35][36]), although the sex chromosomes and mitochondrial DNA have fewer genes than autosomes.…”