A physical map of ordered bacterial artificial chromosome (BAC) clones was constructed to determine the genetic organization of the horse major histocompatibility complex. Human, cattle, pig, mouse, and rat MHC gene sequences were compared to identify highly conserved regions which served as source templates for the design of overgo primers. Thirty-five overgo probes were designed from 24 genes and used for hybridization screening of the equine USDA CHORI 241 BAC library. Two hundred thirty-eight BAC clones were assembled into two contigs spanning the horse MHC region. The first contig contains the MHC class II region and was reduced to a minimum tiling path of nine BAC clones that span approximately 800 kb and contain at least 20 genes. A minimum tiling path of a second contig containing the class III/I region is comprised of 14 BAC clones that span approximately 1.6 Mb and contain at least 34 genes. Fluorescence in situ hybridization (FISH) using representative clones from each of the three regions of the MHC localized the contigs onto ECA20q21 and oriented the regions relative to one another and the centromere. Dual-colored FISH revealed that the class I region is proximal to the centromere, the class II region is distal, and the class III region is located between class I and II. These data indicate that the equine MHC is a single gene-dense region similar in structure and organization to the human MHC and is not disrupted as in ruminants and pigs.

MHC molecules are a highly diverse family of proteins that play a key role in cellular immune recognition. Over time, different techniques and terminologies have been developed to identify the specific type(s) of MHC molecule involved in a specific immune recognition context. No consistent nomenclature exists across different vertebrate species. To correctly represent MHC related data in The Immune Epitope Database (IEDB), we built upon a previously established MHC ontology and created an ontology to represent MHC molecules as they relate to immunological experiments. This ontology models MHC protein chains from 16 species, deals with different approaches used to identify MHC, such as direct sequencing verses serotyping, relates engineered MHC molecules to naturally occurring ones, connects genetic loci, alleles, protein chains and multi-chain proteins, and establishes evidence codes for MHC restriction. Where available, this work is based on existing ontologies from the OBO foundry. Overall, representing MHC molecules provides a challenging and practically important test case for ontology building, and could serve as an example of how to integrate other ontology building efforts into web resources.