P0622 Structural and functional annotation of immunity-related genes in the pig genome

Christopher K. Tuggle , Iowa State University, Ames, IA
Claire Rogel-Gaillard , INRA GABI, Jouy-En-Josas, France
Jane Elizabeth Loveland , Wellcome Trust Sanger Institute, Cambridge, United Kingdom
Hirohide Uenishi , Animal Genome Research Unit, Agrogenomics Research Center, National Institute of Agrobiological Sciences (NIAS), Ibaraki, Japan
Harry D. Dawson , ARS/USDA, Beltsville, MD
Joan Lunney , USDA, ARS, BARC, East Beltsville, MD
Yongming Sang , Kansas State University, Manhattan, KS
Shu-Hong Zhao , Huazhong Agricultural University, Wuhan, China
Elisabetta Giuffra , INRA, UMR de Génétique Animale et Biologie Intégrative, Jouy-en-Josas, France
Sara Botti , Parco Tecnologico Padano - CERSA Integrative Biology Group, Lodi, Italy
James Reecy , Iowa State University, Ames, IA
Jennifer Harrow , Wellcome Trust Sanger Institute, Cambridge, United Kingdom
Tom Freeman , University of Edinburgh- Roslin Institute, United Kingdom
Alan L. Archibald , Roslin Institute,University of Edinburgh Roslin, United Kingdom
Michael Murtaugh , University of Minnesota, St. Paul, MN
David Hume , University of Edinburgh- Roslin Institute, United Kingdom
Takeya Morozumi , Animal Genome Research Program, NIAS/STAFF, Tsukuba, Japan
Hiroki Shinkai , Animal Genome Research Program, NIAS/STAFF, Japan
Bertrand Bed'hom , INRA, UMR de Génétique Animale et Biologie Intégrative, France
Frank Blecha , College of Veterinary Medicine, Kansas State University, Manhattan, KS
Guolong Zhang , Department of Animal Science, Oklahoma State University, Stillwater, OK
Katherine Mann , USDA, ARS, BARC, Animal Parasitic Diseases Laboratory, Beltsville, MD
Qin Zhang , Key Lab of Agricultural Animal Genetics, Breeding, and Reproduction of Ministry of Education, Huazhong Agricultural University, China
Celine Chen , Diet, Genomics and Immunology Laboratory, Beltsville Human Nutrition Research Center, ARS, USDA, Beltsville, MD
Zhiliang Hu , Iowa State University, Ames, IA
Ryan Cheng , Iowa State University, Ames
Yasiara Rodriguez , Iowa State University, A
Anna Anselmo , Parco Tecnologico Padano, Integrative Biology group, Lodi, Italy
Bouabid Badaoui , Parco Tecnologico Padano, Integrative Biology group, Lodi, Italy
John Schwartz , University of Minnesota -, St. Paul, MN
Ronan Kapetanovic , University of Edinburgh- Roslin Institute, United Kingdom
Dario Beraldi , University of Edinburgh- Roslin Institute, United Kingdom
The structure and function of the porcine immunome is poorly characterized. The main purpose of the Immune Response Annotation Group (IRAG) is to use computational and manual curation to refine the currently available automated annotation of immunity-related genes through sequence-based comparison to such genes in other species. Transcriptomic data are also being used to confirm the involvement of these genes in immune response. A gene list was compiled using gene ontology annotation and literature sources, and sequence data and annotation information were used to find candidate genome regions for annotation. Manual annotation for ~1,500 loci has been completed by group members using genome sequence assembly 9 (Sscrofa9) and WTSI Otterlace/Zmap software, which provides alignments of genomic contigs with public sequence data. These alignments are analyzed to confirm/extend exon-intron boundaries, propose new alternative splice products, and improve protein sequence predictions. Over 1,100 transcripts (>30%) were annotated using only non-porcine sequences. Preliminary results show evidence for at least eight gene duplications and many new alternative splice variants. Over 50 immune genes were not found. All results will be checked against assembly 10 (Sscrofa10); initial results for 749 IRAG genes with RNA data shows 7.9% are absent in Sscrofa10. A correlation-based network analysis of transcriptomic data from experimental infections or immune stimulations provided evidence for involvement of the IRAG gene set in immune response and identified putative new immune response genes. Our future challenge will be to identify the underlying biology specific to the pig species from this major annotation effort.