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This study aimed to characterize the effects of dietary restriction and subsequent re-alimentation on body composition and hepatic gene expression of epigenetic markers of DNA methylation, RNA m6A methylation, and histone acetylation in the liver of postpubertal beef bulls. Twelve Angus × Hereford crossbred bulls (n = 6, 23 ± 0.55 mo [young bulls], 558 ± 6.1 kg; and n = 6, 47 ± 1.2 mo [mature bulls], 740 ± 30.5 kg) were submitted to two dietary regimes per offering of the same hay: low plane of nutrition (90 d) and compensatory growth (90 d). Each animal acted as its own control and were fed Beardless wheat (Triticum aestivum) hay and mineral mix during the trial. Statistical analyses were performed using SAS 9.4 following a pre-post repeated measures design. Bulls in negative energy balance (NEB) decreased (P < 0.001) empty body weight (EBW; 23.1% [−139.1 kg]), empty body fat (EBF; 39.8% [−85.4 kg]), and empty body protein (EBP; 14.9% [−13.5 kg]) and fully recovered at the end of the trial. Body fat accounted for 77.1% of daily changes in body energy status, whereas body protein accounted for only 22.9% (P < 0.001). Relative abundance of epigenetic markers transcripts was analyzed via qPCR. Bulls at NEB tended (P ≤ 0.097) to increase gene expression of epigenetic markers of RNA m6A methylation (METTL14, VIRMA, and WTAP) and increased (P ≤ 0.050) the gene expression of epigenetic markers of DNA methylation (DNMT3A) and histone-acetylation (SIRT3 and SIRT7). Young bulls had a tendency (P ≤ 0.072) of higher RNA m6A methylation, VIRMA, and WTAP than mature bulls. Effect of diet × age interaction was not detected (P ≥ 0.137) for METTL14, VIRMA, WTAP, DNMT3A, SIRT3, or SIRT7. Younger bulls tended to have greater RNA m6A methylation levels than mature bulls, indicating that, while contemporaneously fed the same diet during periods of undernourishment followed by compensatory growth, age has an impact on this epigenetic mechanism. In conclusion, metabolic status seems to carry a greater impact on regulating bovine hepatic epigenetic mechanisms that modulate gene transcription, such as DNA methylation and histone acetylation, than on epigenetic mechanisms that regulate gene translation, such as RNA m6A methylation. During periods of undernourishment followed by compensatory growth, body fat pools appear to change more dynamically and are easily detected having a greater impact on epigenetic markers that modulate hepatic gene transcription rather than translation. [ABSTRACT FROM AUTHOR]

Aiming to characterize the effects of nutritional status on epigenetic markers, such as DNA 5-methyl cytosine (mC) methylation and RNA N6- methyladenosine (m6 A) methylation, of bovine sperm, 12 Angus × Hereford crossbred breeding bulls were submitted to nutritional changes for a period of 180 d: no change in body weight (BW) (phase 1 = 12 d), BW loss (phase 2 = 78 d), and BW gain (phase 3 = 90 d) in a repeated measures design. Animals were fed Beardless wheat (Triticum aestivum) hay and mineral mix. Statistical analyses were performed using SAS 9.4 (SAS Inst., Cary, NC). Higher levels of RNA m6 A (P = 0.004) and DNA methylation (P = 0.007) of spermatic cells were observed at phase 2 compared with phase 1. In phase 3, sperm RNA m6 A methylation levels continued to be higher (P = 0.004), whereas the DNA of sperm cells was similar (P = 0.426) compared with phase 1. Growing bulls had a tendency (P = 0.109) of higher RNA m6 A methylation levels than mature bulls. Phase 2 altered scrotal circumference (P < 0.001), sperm volume (P = 0.007), sperm total motility (P = 0.004), sperm progressive motility (P = 0.004), total sperm count (P = 0.049), normal sperm (P < 0.001), abnormal sperm (P < 0.001), primary sperm defects (P = 0.039), and secondary sperm defects (P < 0.001). In phase 3, bulls had scrotal circumference, sperm volume, sperm motility, sperm progressive motility, total sperm count, normal and abnormal spermatozoa, and primary and secondary spermatozoa defects similar to phase 1 (P > 0.05). Serum concentrations of insulin-like growth factor-1 and leptin decreased during phase 2 (P = 0.010), while no differences (P > 0.05) were detected between phases 3 and 1; growing bulls tended (P = 0.102) to present higher leptin levels than mature bulls. Specific for mature bulls, DNA methylation was positively correlated with leptin concentration (0.569, P = 0.021), whereas for young bulls, DNA methylation was positively correlated with abnormal spermatozoa (0.824, P = 0.006), primary spermatozoa defect (0.711, P = 0.032), and secondary spermatozoa defect (0.661, P = 0.052) and negatively correlated with normal spermatozoa (−0.824, P = 0.006), total sperm count (−0.702, P = 0.035), and sperm concentration (−0.846, P = 0.004). There was no significant correlation (P > 0.05) between RNA m6 A and hormones and semen traits. In conclusion, the nutritional status of breeding bulls alters epigenetic markers, such as DNA methylation and RNA m6 A methylation, in sperm, and the impact of change seems to be age dependent. These markers may serve as biomarkers of sperm quality and fertility of bulls in the future. Detrimental effects on sperm production and seminal quality are observed at periods and places when and where environmental and nutritional limitations are a year-round reality and may carry hidden players that may influence a lifetime of underperformance. [ABSTRACT FROM AUTHOR]

The E2F family of transcription factors plays an important role in the control of the cell cycle, cell proliferation, and differentiation, and their role in ovarian function is just emerging. Although some evidence suggests a possible role of E2F1 in ovarian follicular development, what regulates its production in ovarian cells is unknown. Objectives of this study were to determine whether: (i) E2F1 gene expression in granulosa cells (GCs) and theca cells (TCs) change with follicular development and (ii) E2F1 mRNA abundance in TC and GC is hormonally regulated. Using real-time PCR, E2F1 mRNA abundance in GC was 5.5-fold greater (P < 0.05) in small (SM; 1 to 5 mm) than large (LG; >8 mm) follicles, but in TC, E2F1 expression did not differ among follicle sizes. SM-follicle GC had 2.1-fold greater (P < 0.05) E2F1 mRNA than TC. In SM-follicle GC, FGF9 induced a 7.6-fold increase in E2F1 mRNA abundance; however, FGF9 did not affect (P > 0.10) abundance of E2F1 mRNA in LG-follicle TC or GC. Follicle-stimulating hormone (FSH) had no effect (P > 0.10) on E2F1 gene expression in SM- or LG-follicle GC. SM-follicle GC were concomitantly treated with insulin-like growth factor 1 (30 ng/mL), FSH (30 ng/mL), and either 0 or 30 ng/mL of FGF9 with or without 50 µM of an E2F inhibitor (E2Fi; HLM0064741); FGF9 alone increased (P < 0.05) GC numbers, whereas E2Fi alone decreased (P < 0.05) GC numbers, and concomitant treatment of E2Fi with FGF9 blocked (P < 0.05) this stimulatory effect of FGF9. Estradiol production was inhibited (P < 0.05) by FGF9 alone and concomitant treatment of E2Fi with FGF9 attenuated (P < 0.05) this inhibitory effect of FGF9. SM-follicle GC treated with E2Fi decreased (P < 0.05) E2F1 mRNA abundance by 70%. Collectively, our studies show that GC E2F1 mRNA is developmentally and hormonally regulated in cattle. Inhibition of E2F1 reduced FGF9-induced GC proliferation and attenuated FGF9- inhibited estradiol production, indicating that E2F1 may be involved in follicular development in cattle. [ABSTRACT FROM AUTHOR]

Sirtuins (SIRTs) are a family of seven NAD+-dependent histone deacetylases that regulate several biological reactions. How SIRTs regulate ovarian steroidogenesis in cattle remains to be fully unveiled. We hypothesize that SIRTs expression and activity are regulated by hormones that influence steroidogenesis in bovine granulosa cells (GC). Bovine ovaries were collected at an USDA-inspected commercial slaughterhouse and GC were isolated from small antral follicles (1-5 mm on surface diameter). Cells were treated with hormones that regulate ovarian folliculogenesis: FSH, IGF1, fibroblast growth factor (FGF) 2, FGF9, and their combinations. Cells were cultured for 24h for total RNA isolation (n = 6 pools) with miRNeasy microkit (Qiagen) or for 48h for isolation of nuclear and cytoplasmic extracts (n = 3 pools) with EpiQuik Nuclear Extraction Kit (Epigentek) according to the manufacturers' instructions. Relative mRNA abundance was quantified via qPCR and expressed as 2-ΔΔCt using the relative comparative threshold cycle (Ct) whereas SIRTs activity in nuclear (SIRTs 1, 6, and 7) and cytoplasmic (SIRTs 2, 4, and 5) extracts was analyzed with the Epigenase Universal SIRT Activity/Inhibition assay kit (Epigentek) following the manufacturer's instructions. Data were analyzed via ANOVA with GLM procedures of SAS for Windows. In terms of mRNA relative abundance, FSH+IGF1+IGF9 increased mRNA relative expression of SIRTs 2 to 7 in comparison to negative control and of SIRTs 2, 3, 4, 6, and 7 in comparison to FSH+IGF1; FSH+IGF1+IGF2 increased mRNA relative abundance of SIRTs 2 and 6 in comparison to FSH+IGF1; FGF2 alone increased SIRT1 in comparison to negative control (P < 0.05). In term of SIRTs activity, FGF2 alone increased nuclear SIRTs activity in comparison to FSH, IGF1, FSH+IGF1, and FGF9 alone; FSH+IGF1+IGF2 increased cytoplasmic SIRTs activity in comparison to all treatments (P < 0.05). Taken together, our data demonstrate that SIRTs expression and activity in bovine GC are regulated by hormones that influence steroidogenesis. [ABSTRACT FROM AUTHOR]