Background: The domestic pig is known as an excellent model for human immunology and the two species share many pathogens. Susceptibility to infectious disease is one of the major constraints on swine performance, yet the structure and function of genes comprising the pig immunome are not well-characterized. The completion of the pig genome provides the opportunity to annotate the pig immunome, and compare and contrast pig and human immune systems. Results: The Immune Response Annotation Group (IRAG) used computational curation and manual annotation of the swine genome assembly 10.2 (Sscrofa10.2) to refine the currently available automated annotation of 1,369 immunity-related genes through sequence-based comparison to genes in other species. Within these genes, we annotated 3,472 transcripts. Annotation provided evidence for gene expansions in several immune response families, and identified artiodactyl-specific expansions in the cathelicidin and type 1 Interferon families. We found gene duplications for 18 genes, including 13 immune response genes and five non-immune response genes discovered in the annotation process. Manual annotation provided evidence for many new alternative splice variants and 8 gene duplications. Over 1,100 transcripts without porcine sequence evidence were detected using cross-species annotation. We used a functional approach to discover and accurately annotate porcine immune response genes. A co-expression clustering analysis of transcriptomic data from selected experimental infections or immune stimulations of blood, macrophages or lymph nodes identified a large cluster of genes that exhibited a correlated positive response upon infection across multiple pathogens or immune stimuli. Interestingly, this gene cluster (cluster 4) is enriched for known general human immune response genes, yet contains many un-annotated porcine genes. A phylogenetic analysis of the encoded proteins of cluster 4 genes showed that 15% exhibited an accelerated evolution as compared to 4.1% across the entire genome. Conclusions: This extensive annotation dramatically extends the genome-based knowledge of the molecular genetics and structure of a major portion of the porcine immunome. Our complementary functional approach using co-expression during immune response has provided new putative immune response annotation for over 500 porcine genes. Our phylogenetic analysis of this core immunome cluster confirms rapid evolutionary change in this set of genes, and that, as in other species, such genes are important components of the pig’s adaptation to pathogen challenge over evolutionary time. These comprehensive and integrated analyses increase the value of the porcine genome sequence and provide important tools for global analyses and data-mining of the porcine immune response.

The pig genome is being sequenced and characterised under the auspices of the Swine Genome Sequencing Consortium. The sequencing strategy followed a hybrid approach combining hierarchical shotgun sequencing of BAC clones and whole genome shotgun sequencing. Assemblies of the BAC clone derived genome sequence have been annotated using the Pre-Ensembl and Ensembl automated pipelines and made accessible through the Pre-Ensembl/Ensembl browsers. The current annotated genome assembly (Sscrofa9) was released with Ensembl 56 in September 2009. A revised assembly (Sscrofa10) is under construction and will incorporate whole genome shotgun sequence (WGS) data providing > 30× genome coverage. The WGS sequence, most of which comprise short Illumina/Solexa reads, were generated from DNA from the same single Duroc sow as the source of the BAC library from which clones were preferentially selected for sequencing. In accordance with the Bermuda and Fort Lauderdale agreements and the more recent Toronto Statement the data have been released into public sequence repositories (Genbank/EMBL, NCBI/Ensembl trace repositories) in a timely manner and in advance of publication. In this marker paper, the Swine Genome Sequencing Consortium (SGSC) sets outs its plans for analysis of the pig genome sequence, for the application and publication of the results.

We generated the PEDE (Pig EST Data Explorer; http://pede.dna.affrc.go.jp/) database using sequences assembled from porcine 5' ESTs from oligo-capped full-length cDNA libraries. Thus far we have performed EST analysis of various organs (thymus, spleen, uterus, lung, liver, ovary and peripheral blood mononuclear cells) and assembled 68,076 high-quality sequences into 5546 contigs and 28,461 singlets. PEDE provides a search interface for getting results of homology searches and enables users to obtain information on sequence data and cDNA clones of interest. Single-nucleotide polymorphisms detected through comparison of the EST sequences are classified by origin (western and oriental breeds) and are searchable in the database. This database system can accelerate analyses of livestock traits and yields information that can lead to new applications in pigs as model systems for medical research.

We formerly released the porcine expressed sequence tag (EST) database Pig EST Data Explorer (PEDE; http://pede.dna.affrc.go.jp/), which comprised 68,076 high-quality ESTs obtained by using full-length-enriched cDNA libraries derived from seven tissues. We have added eight tissues and cell types to the EST analysis and have integrated 94,555 additional high-quality ESTs into the database. We also fully sequenced the inserts of 10,147 of the cDNA clones that had undergone EST analysis; the sequences and annotation of the cDNA clones were stored in the database. Further, we constructed an interface that can be used to perform various searches in the database. The PEDE database is the primary resource of expressed pig genes that are supported by full-length cDNA sequences. This resource not only enables us to pick cDNA clones of interest for a particular analysis, but it also confirms and thus contributes to the sequencing integrity of the pig genome, which is now being compiled by an international consortium (http://www.piggenome.org/). PEDE has therefore evolved into what we now call 'Pig Expression Data Explorer'.