Maternal mineral nutrition during the critical phases of fetal development may leave lifetime impacts on the productivity of an individual. Most research within the developmental origins of the health and disease (DOHaD) field is focused on the role of macronutrients in the genome function and programming of the developing fetus. On the other hand, there is a paucity of knowledge about the role of micronutrients and, specifically, minerals in regulating the epigenome of livestock species, especially cattle. Therefore, this review will address the effects of the maternal dietary mineral supply on the fetal developmental programming from the embryonic to the postnatal phases in cattle. To this end, we will draw a parallel between findings from our cattle model research with data from model animals, cell lines, and other livestock species. The coordinated role and function of different mineral elements in feto-maternal genomic regulation underlies the establishment of pregnancy and organogenesis and, ultimately, affects the development and functioning of metabolically important tissues, such as the fetal liver, skeletal muscle, and, importantly, the placenta. Through this review, we will delineate the key regulatory pathways involved in fetal programming based on the dietary maternal mineral supply and its crosstalk with epigenomic regulation in cattle.

Domestic buffaloes (Bubalus bubalis), known as water buffaloes, play a key role as versatile multipurpose agricultural animals in the Asiatic region. Pakistan, with the second-largest buffalo population in the world, holds a rich domestication history of buffaloes. The overall trends in buffalo production demand the genomic characterization of Pakistani buffalo breeds. To this end, the resequencing data of Pakistani breeds, along with buffalo breeds from 13 other countries, were retrieved from our previous study. This dataset, which contained 34,671,886 single-nucleotide polymorphisms (SNPs), was analyzed through a pipeline that was developed to compare possible allele differences among breeds at each SNP position. In contrast, other available tools only check for positional SNP differences for breed-specific markers. In total, 1918, 1549, 404, and 341 breed-specific markers were identified to characterize the Nili, Nili–Ravi, Azakheli, and Kundi breeds of Pakistani buffalo, respectively. Sufficient evidence in the form of phenotypic data, principal component analysis, admixture analysis, and linkage analysis showed that the Nili breed has maintained its distinct breed status despite sharing a close evolutionary relationship with the Nili–Ravi breed of buffalo. In this era of genome science, the conservation of these breeds and the further validation of the given selection markers in larger populations is a pressing need.

Reproductive performance of heifers is a key indicator of herd productivity. The objective was to evaluate markers and genes associated with reproductive tract characteristics through a comparative approach. For this study, 295 admixed beef heifers were examined via transrectal ultrasonography at approximately 13 months of age. Exploratory factor analysis of antral follicular count (count per size, side, and total), length, height and diameter for left and right sides of ovaries, and uterine horn diameter revealed a latent variable that included total antral follicle count and ovary diameters per side (n = 3 traits), termed OVARY. Confirmatory factor analysis produced OVARY values per heifer. Quality controls left 116,133 SNP per heifer for association analyses. A marker window-based univariate approach with OVARY was conducted using an empirical Bayesian approach adjusting for nested population structure using marker frequency differences (Method 1) as well as an MCMC Bayesian approach identifying the fraction of SNP to be included with population structure as a fixed effect (Method 2). SNP with high genetic variance in important windows (PPAW > 0.75) were mapped to their closest gene for enrichment analysis. Using Method 1, 2 genes were found to be associated and enrichment analysis identified SMYD2 contributing generally to epigenetic and transcriptional regulatory pathways and GO terms (adjusted P < 0.05). Using Method 2, 11 genes were discovered to be associated with OVARY (adjusted P < 0.05). Three of 11 genes were involved in neural transduction, cornification, epithelial integrity, and adipogenic pathways and GO terms. Eight of 11 genes were involved in reproductive hormonal signaling, post-natal growth, sex determination and reproductive organs development, embryo implantation, and signaling transduction GO terms. Given this, Method 2 provides better insights towards the association of markers and genes for future selection of admixed beef heifers with overall better reproductive characteristics than Method 1.