“…Moreover, several studies have presented that mitochondrial genome polymorphisms in livestock are associated with economic traits, including meat quality, milk-yield, production, and reproduction [ 74 , 75 , 76 , 77 ]. In particular, considerable mitochondrial DNA diversity has been detected in dairy cattle, and the differences in mitochondrial DNA have been significantly related to milk-yield traits [ 78 , 79 ]. In this study, we found functional genomic regions with discriminative genetic variations between two cattle breeds on the mitochondrial genome.…”
Analyzing the associations between genotypic changes and phenotypic traits on a genome-wide scale can contribute to understanding the functional roles of distinct genetic variations during breed development. We performed a whole-genome analysis of Angus and Jersey cattle breeds using conditional mutual information, which is an information-theoretic method estimating the conditional independency among multiple factor variables. The proposed conditional mutual information-based approach allows breed-discriminative genetic variations to be explicitly identified from tens of millions of SNP (single nucleotide polymorphism) positions on a genome-wide scale while minimizing the usage of prior knowledge. Using this data-driven approach, we identified biologically relevant functional genes, including breed-specific variants for cattle traits such as beef and dairy production. The identified lipid-related genes were shown to be significantly associated with lipid and triglyceride metabolism, fat cell differentiation, and muscle development. In addition, we confirmed that milk-related genes are involved in mammary gland development, lactation, and mastitis-associated processes. Our results provide the distinct properties of Angus and Jersey cattle at a genome-wide level. Moreover, this study offers important insights into discovering unrevealed genetic variants for breed-specific traits and the identification of genetic signatures of diverse cattle breeds with respect to target breed-specific properties.
“…Moreover, several studies have presented that mitochondrial genome polymorphisms in livestock are associated with economic traits, including meat quality, milk-yield, production, and reproduction [ 74 , 75 , 76 , 77 ]. In particular, considerable mitochondrial DNA diversity has been detected in dairy cattle, and the differences in mitochondrial DNA have been significantly related to milk-yield traits [ 78 , 79 ]. In this study, we found functional genomic regions with discriminative genetic variations between two cattle breeds on the mitochondrial genome.…”
Analyzing the associations between genotypic changes and phenotypic traits on a genome-wide scale can contribute to understanding the functional roles of distinct genetic variations during breed development. We performed a whole-genome analysis of Angus and Jersey cattle breeds using conditional mutual information, which is an information-theoretic method estimating the conditional independency among multiple factor variables. The proposed conditional mutual information-based approach allows breed-discriminative genetic variations to be explicitly identified from tens of millions of SNP (single nucleotide polymorphism) positions on a genome-wide scale while minimizing the usage of prior knowledge. Using this data-driven approach, we identified biologically relevant functional genes, including breed-specific variants for cattle traits such as beef and dairy production. The identified lipid-related genes were shown to be significantly associated with lipid and triglyceride metabolism, fat cell differentiation, and muscle development. In addition, we confirmed that milk-related genes are involved in mammary gland development, lactation, and mastitis-associated processes. Our results provide the distinct properties of Angus and Jersey cattle at a genome-wide level. Moreover, this study offers important insights into discovering unrevealed genetic variants for breed-specific traits and the identification of genetic signatures of diverse cattle breeds with respect to target breed-specific properties.
“…All individuals from a single foundation dam in the maternal lineage should have the same mitochondrial allele, unless a further mutation occurred. Thus, similar to recombinant inbred lines, it is sufficient to genotype only a few individuals of maternal lineage, while records on all individuals can be used to determine the effect of the mitochondrial polymorphism on economic trails (Ron et al. 1992).…”
The purposes of this study were to investigate single strand conformation polymorphisms (SSCP) in the D-loop region of pig mitochondrial DNA (mtDNA) and to determinate their association with the reproductive traits of meishan pigs. A total of four types of band patterns, designed SSCP band pattern A, B, C and D, were identified. A type of SSCP band pattern was present in all European-American breeds, but not in East Asian breeds. This result showed the diversified sequence in the D-loop region between European-American and East Asian populations. Two types of band patterns, B and C, were found in Meishan pigs. The average body weight at day 21 of piglets from B type dams was significantly heavier than the body weight of C type (p < 0.05). We also tested whether the SSCP patterns would be suitable for paternity testing in a family group and found that bands of all the offspring were derived from their maternal parent. Therefore, we conclude that SSCP may be a marker for identification of maternal ancestors.
“…Bovine mitochondria contain a 16,338 nucleotide closed loop of DNA coding for 13 translated genes, 22 tRNA and 2 rRNA and are inherited exclusively through the maternal line, providing a genetic mechanism for cytoplasmic inheritance (Gibson et al, 1997). Some studies have suggested that maternal lineage effects influence growth, reproductive and production traits of livestock; in dairy cattle particularly, extensive mitochondrial DNA (mtDNA) diversity has been found (Boettcher et al, 1996a,b) and such differences in mtDNA have been significantly associated with milk yield traits in which 2-10% of the variation could be explained by maternal lineage effects (Ron et al, 1992;Schutz et al, 1993;Schutz et al, 1994). By contrast, mtDNA diversity has been less commonly reported in beef cattle and no significant effects on milk yield or preweaning growth traits have been found in Brangus (Rohrer et al, 1994) and Hereford (Tess et al, 1987;Tess and Robison 1990;Tess and MacNeil 1994) breeds.…”
Mitochondrial DNA haplotypes from the displacement-loop (D-loop) region (436 bp) were genotyped and sequenced in Japanese Black beef cattle raised in the same herd. Correlation coefficients between mitochondrial DNA haplotypes, maternal lineage, birth weight, preweaning average daily gain, weaning weight, post weaning average daily gain and yearling weight were computed. The objective was to study the relationship between maternal and postnatal growth traits and to investigate if postnatal growth of calves to yearling age could be accurately predicted from mitochondrial DNA haplotypes. Results of the phylogenetic analysis revealed 17 maternal lineages and four mitochondrial DNA haplotypes. There were strong, positive and highly significant (p<0.001) correlations among maternal traits ranging from 0.52 to 0.98. Similarly, among postnatal growth traits, most of the correlations were also strong, positive and highly significant (p<0.001); the highest correlation of 0.94 was between preweaning average daily gain and weaning weight. However, correlations between mitochondrial DNA haplotypes and postnatal growth traits were very low, mostly negative and non-significant (p>0.05) ranging from -0.05 to 0.1. Prediction of postnatal growth from mitochondrial DNA yielded very low R 2 values ranging from 0.002 to 0.019. It was concluded that mitochondrial DNA polymorphism has no significant association with postnatal growth from birth to yearling age, and by implication, nuclear rather than cytoplasmic DNA, accounts for most of the genetic variation observed in postnatal growth of Japanese Black cattle. Therefore, mitochondrial DNA genotyping at an early age has no bearing on the accurate prediction of the future growth performance of calves.
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