DNA methylation patterns reflect epigenetic reprogramming in bovine embryos

To understand the epigenetic alterations associated with assisted reproduction technology (ART) and the reprogramming of gene expression that follows somatic cell nuclear transfer (SCNT), we screened a panel of 41 amplicons representing 25 developmentally important genes on 15 different chromosomes (a total of 1079 CpG sites). Methylation analysis was performed on DNA from pools of 80 blastocysts representing three classes of embryos. This revealed a subset of amplicons that distinguish between embryos developing in vivo, produced in vitro, or reconstructed by SCNT. Following SCNT, we observed massive epigenetic reprogramming evidenced by reduced levels of methylation in the resultant embryos. Analysis of data from the 28 most informative amplicons (hotspot loci), representing more than 523 individual CpG sites, we discovered subsets of amplicons with methylation patterns that were unique to each class of embryo and may indicate metastable epialleles. Analysis of eight genes with respect to mRNA expression did not reveal a direct correlation with DNA methylation levels. In conclusion, this approach revealed a subset of amplicons that can be used to evaluate blastocyst quality and reprogramming following SCNT, and can also be employed for the localization of the epigenetic control regions within individual genes and for more general studies of stem cell differentiation.

Brief introduction to whole-genome selection in cattle using single nucleotide polymorphisms

Genomic selection using single nucleotide polymorphisms (SNPs) is a powerful new tool for genetic selection. In cattle, SNP profiles for individual animals are generated using a small plastic chip that is diagnostic for up to 50 000 SNPs spaced throughout the genome. Phenotypes, usually averaged over offspring of bulls, are matched with SNP profiles of bulls mathematically so that animals can be ranked for siring desirable phenotypes via their SNP profiles. For many traits in dairy cattle, the rate of genetic improvement can be nearly doubled when SNP information is used in addition to current methods of genetic evaluation. Separate SNP analyses need to be developed for different populations (e.g. the system for Holsteins is not useful for Jerseys). In addition, the value of these systems is very dependent on the number of accurate phenotypes matched with SNP profiles; for example, increasing the number of North American Holstein bulls evaluated from 1151 to 3576 quadrupled the additional genetic gain in net merit from this approach. Thus, the available information will be insufficient to exploit this technology fully for most populations. However, once a valid SNP evaluation system is developed, any animal in that population, including embryos, can be evaluated with similar accuracy. Biopsying embryos and screening them via SNP analysis will greatly enhance the value of this technology by minimising generation intervals.

Gene expression profiling of the host response to Mycobacterium bovis infection in cattle

Bovine tuberculosis (BTB), caused by Mycobacterium bovis, continues to pose a threat to livestock worldwide and, as a zoonotic infection, also has serious implications for human health. The implementation of comprehensive surveillance programmes to detect BTB has been successful in reducing the incidence of infection in many countries, yet BTB has remained recalcitrant to eradication in several EU states, particularly in Ireland and the UK. There are well-recognized limitations in the use of the current diagnostics to detect all infected animals and this has led to renewed efforts to uncover novel diagnostic biomarkers that may serve to enhance the performance of the tests. Studies of single immunological parameters have so far been unable to unlock the complexities of the immune response to mycobacterial infection. However, the development of high-throughput methods including pan-genomic gene expression technologies such as DNA microarrays has facilitated the simultaneous identification and analysis of thousands of genes and their interactions during the immune response. In addition, the application of these new genomic technologies to BTB has identified pathogen-associated immune response signatures of host infection. The objective of these investigations is to understand the changing profile of immune responses throughout the course of infection and to identify biomarkers for sensitive diagnosis, particularly during the early stages of infection. Transcriptional profiling via microarray and more recently via next-generation sequencing technologies may lead to the development of specific and sensitive diagnostics for M. bovis infection and will enhance the prospect of eradication of tuberculosis from cattle populations.