Despite only 8% of cattle being found in Europe, European breeds dominate current genetic resources. This adversely impacts cattle research in other important global cattle breeds. To mitigate this issue, we have generated the first assemblies of African breeds, which have been integrated with genomic data for 294 diverse cattle into the first graph genome that incorporates global cattle diversity. We illustrate how this more representative reference assembly contains an extra 116.1Mb (4.2%) of sequence absent from the current Hereford sequence and consequently inaccessible to current studies. We further demonstrate how using this graph genome increases read mapping rates, reduces allelic biases and improves the agreement of structural variant calling with independent optical mapping data. Consequently, we present an improved, more representative, reference assembly that will improve global cattle research.

Despite only 8% of cattle being found in Europe, European breeds dominate current genetic resources. This adversely impacts cattle research in other important global cattle breeds, especially those from Africa for which genomic resources are particularly limited, despite their disproportionate importance to the continent’s economies. To mitigate this issue, we have generated assemblies of African breeds, which have been integrated with genomic data for 294 diverse cattle into a graph genome that incorporates global cattle diversity. We illustrate how this more representative reference assembly contains an extra 116.1 Mb (4.2%) of sequence absent from the current Hereford sequence and consequently inaccessible to current studies. We further demonstrate how using this graph genome increases read mapping rates, reduces allelic biases and improves the agreement of structural variant calling with independent optical mapping data. Consequently, we present an improved, more representative, reference assembly that will improve global cattle research.

Porcine enzootic pneumonia (PEP), which is caused by the fastidious bacterium Mycoplasma hyopneumoniae, is one of the most economically important diseases in the pig industry worldwide. Commercial bacterins provide only partial protection; therefore, the development of more efficient vaccines against PEP is necessary. In this study, the cellular and humoral immune responses elicited by DNA and recombinant subunit vaccines based on the P37, P42, P46 and P95 antigens of M. hyopneumoniae were evaluated after the intramuscular inoculation of BALB/c mice. The expression of the cytokines INFγ, TNFα and IL1 was evaluated by real-time RT-PCR in splenocytes from vaccinated mice. All antigens delivered as subunit vaccines, especially P42 and P95, and the pcDNA3/P46 DNA vaccine were able to elicit strong immune responses. These vaccines induced cellular immune responses and the production of antibodies able to react with native M. hyopneumoniae proteins. Because both cellular and humoral immune responses were induced, P42 and P95 are promising candidates for a recombinant subunit vaccine and P46 is a promising candidate for a DNA vaccine against PEP.

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Major histocompatibility complex (MHC) peptide binding and presentation is the most selective event defining the landscape of T cell epitopes. Consequently, understanding the diversity of MHC alleles in a given population and the parameters that define the set of ligands that can be bound and presented by each of these alleles (the immunopeptidome) has an enormous impact on our capacity to predict and manipulate the potential of protein antigens to elicit functional T cell responses. Liquid chromatography-mass spectrometry (LC-MS) analysis of MHC eluted ligands (EL data) has proven to be a powerful technique for identifying such peptidomes, and methods integrating such data for prediction of antigen presentation have reached a high level of accuracy for both MHC class I and class II. Here, we demonstrate how these techniques and prediction methods can be readily extended to the bovine leukocyte antigen class II DR locus (BoLA-DR). BoLA-DR binding motifs were characterized by EL data derived from cell lines expressing a range of DRB3 alleles prevalent in Holstein-Friesian populations. The model generated (NetBoLAIIpan -available as a web-server at www.cbs.dtu.dk/services/NetBoLAIIpan ) was shown to have unprecedented predictive power to identify known BoLA-DR restricted CD4 epitopes. In summary,the results demonstrate the power of an integrated approach combining advanced MS peptidomics with immunoinformatics for characterization of the BoLA-DR antigen presentation system and provide a novel tool that can be utilised to assist in rational evaluation and selection of bovine CD4 T cell epitopes.2 .

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