Influence of environmental factors and genetic variation on mitochondrial DNA copy number

Mitochondrial DNA: Inherent Complexities Relevant to Genetic Analyses

Mitochondrial DNA (mtDNA) exhibits distinct characteristics distinguishing it from the nuclear genome, necessitating specific analytical methods in genetic studies. This comprehensive review explores the complex role of mtDNA in a variety of genetic studies, including genome-wide, epigenome-wide, and phenome-wide association studies, with a focus on its implications for human traits and diseases. Here, we discuss the structure and gene-encoding properties of mtDNA, along with the influence of environmental factors and epigenetic modifications on its function and variability. Particularly significant are the challenges posed by mtDNA's high mutation rate, heteroplasmy, and copy number variations, and their impact on disease susceptibility and population genetic analyses. The review also highlights recent advances in methodological approaches that enhance our understanding of mtDNA associations, advocating for refined genetic research techniques that accommodate its complexities. By providing a comprehensive overview of the intricacies of mtDNA, this paper underscores the need for an integrated approach to genetic studies that considers the unique properties of mitochondrial genetics. Our findings aim to inform future research and encourage the development of innovative methodologies to better interpret the broad implications of mtDNA in human health and disease.

Animal board invited review: Practical applications of genomic information in livestock

Access to high-dimensional genomic information in many livestock species is accelerating. This has been greatly aided not only by continual reductions in genotyping costs but also an expansion in the services available that leverage genomic information to create a greater return-on-investment. Genomic information on individual animals has many uses including (1) parentage verification and discovery, (2) traceability, (3) karyotyping, (4) sex determination, (5) reporting and monitoring of mutations conferring major effects or congenital defects, (6) better estimating inbreeding of individuals and coancestry among individuals, (7) mating advice, (8) determining breed composition, (9) enabling precision management, and (10) genomic evaluations; genomic evaluations exploit genome-wide genotype information to improve the accuracy of predicting an animal's (and by extension its progeny's) genetic merit. Genomic data also provide a huge resource for research, albeit the outcome from this research, if successful, should eventually be realised through one of the ten applications already mentioned. The process for generating a genotype all the way from sample procurement to identifying erroneous genotypes is described, as are the steps that should be considered when developing a bespoke genotyping panel for practical application.

Tissue heterogeneity of mitochondrial activity, biogenesis and mitochondrial protein gene expression in buffalo

BACKGROUND

Cellular metabolism is most invariant process, occurring in all living organisms, which involves mitochondrial proteins from both nuclear and mitochondrial genomes. The mitochondrial DNA (mtDNA) copy number, protein-coding genes (mtPCGs) expression, and activity vary between various tissues to fulfill specific energy demands across the tissues.

METHODS AND RESULTS

In present study, we investigated the OXPHOS complexes and citrate synthase activity in isolated mitochondria from various tissues of freshly slaughtered buffaloes (n = 3). Further, the evaluation of tissue-specific diversity based on the quantification of mtDNA copy numbers was performed and also comprised an expression study of 13 mtPCGs. We found that the functional activity of individual OXPHOS complex I was significantly higher in the liver compared to muscle and brain. Additionally, OXPHOS complex III and V activities was observed significantly higher levels in liver compared to heart, ovary, and brain. Similarly, CS-specific activity differs between tissues, with the ovary, kidney, and liver having significantly greater. Furthermore, we revealed the mtDNA copy number was strictly tissue-specific, with muscle and brain tissues exhibiting the highest levels. Among 13 PCGs expression analyses, mRNA abundances in all genes were differentially expressed among the different tissue.

CONCLUSIONS

Overall, our results indicate the existence of a tissue-specific variation in mitochondrial activity, bioenergetics, and mtPCGs expression among various types of buffalo tissues. This study serves as a critical first stage in gathering vital comparable data about the physiological function of mitochondria in energy metabolism in distinct tissues, laying the groundwork for future mitochondrial based diagnosis and research.

Genetic and phenotypic associations of mitochondrial DNA copy number, SNP, and haplogroups with growth and carcass traits in beef cattle

Mitochondrial DNA copy number (mtDNA CN) is heritable and easily obtained from low-pass sequencing (LPS). This study investigated the genetic correlation of mtDNA CN with growth and carcass traits in a multi-breed and crossbred beef cattle population. Blood, leucocyte, and semen samples were obtained from 2,371 animals and subjected to LPS that resulted in nuclear DNA (nuDNA) and mtDNA sequence reads. Mitochondrial DNA CN was estimated as the ratio of mtDNA to nuDNA coverages. Variant calling was performed from mtDNA, and 11 single nucleotide polymorphisms (SNP) were identified in the population. Samples were classified in taurine haplogroups. Haplogroup and mtDNA type were further classified based on the 11 segregating SNP. Growth and carcass traits were available for between 7,249 and 60,989 individuals. Associations of mtDNA CN, mtDNA haplogroups, mtDNA types, and mtDNA SNP with growth and carcass traits were estimated with univariate animal models, and genetic correlations were estimated with a bivariate animal model based on pedigree. Mitochondrial DNA CN tended (P-value ≤0.08) to be associated with birth weight and weaning weight. There was no association (P-value >0.10) between mtDNA SNP, haplogroups, or types with growth and carcass traits. Genetic correlation estimates of mtDNA CN were -0.30 ± 0.16 with birth weight, -0.31 ± 0.16 with weaning weight, -0.15 ± 0.14 with post-weaning gain, -0.11 ± 0.19 with average daily dry-matter intake, -0.04 ± 0.22 with average daily gain, -0.29 ± 0.13 with mature cow weight, -0.11 ± 0.13 with slaughter weight, -0.14 ± 0.13 with carcass weight, -0.07 ± 0.14 with carcass backfat, 0.14 ± 0.14 with carcass marbling, and -0.06 ± 0.14 with ribeye area. In conclusion, mtDNA CN was negatively correlated with most traits investigated, and the genetic correlation was stronger with growth traits than with carcass traits.