Structural and functional annotation of the porcine immunome

Harry Dawson(Beltsville Human Nutrition Research Center), Jane Loveland(Wellcome Sanger Institute), Géraldine Pascal(Physiologie de la Reproduction et des Comportements), James Gilbert(Wellcome Sanger Institute), Hirohide Uenishi(Institute of Agrobiological Sciences), Katherine Mann(Agricultural Research Service), Yongming Sang(Kansas State University), Jie Zhang(Huazhong Agricultural University), Denise Carvalho‐Silva(European Bioinformatics Institute), Toby Hunt(Wellcome Sanger Institute), Matthew P. Hardy(Wellcome Sanger Institute), Zhi‐Liang Hu(Iowa State University), Shu-Hong Zhao(Huazhong Agricultural University), Anna Anselmo(Parco Tecnologico Padano), Hiroki Shinkai(Institute of Agrobiological Sciences), Celine Chen(Beltsville Human Nutrition Research Center), Bouabid Badaoui(Parco Tecnologico Padano), Daniel Berman(Agricultural Research Service), Clara Amid(European Bioinformatics Institute), Mike Kay(Wellcome Sanger Institute), David Lloyd(Wellcome Sanger Institute), Catherine Snow(Wellcome Sanger Institute), Takeya Morozumi(Ministry of Agriculture, Forestry and Fisheries), Ryan P. Cheng(Iowa State University), Megan Bystrom(Iowa State University), Ronan Kapétanovic(Roslin Institute), J.C. Schwartz(University of Minnesota), R. S. Kataria(National Bureau of Animal Genetic Resources), Matthew Astley(Wellcome Sanger Institute), Eric Fritz(Iowa State University), Charles A. Steward(Wellcome Sanger Institute), Mark Thomas(Wellcome Sanger Institute), Laurens Wilming(Wellcome Sanger Institute), Daisuke Toki(Ministry of Agriculture, Forestry and Fisheries), Alan Archibald(Roslin Institute), Bertrand Bed’Hom(Génétique Animale et Biologie Intégrative), Dario Beraldi(Roslin Institute), Ting-Hua Huang(Iowa State University), Tahar Aït-Ali(Roslin Institute), Frank Blecha(Kansas State University), Sara Botti(Parco Tecnologico Padano), Tom C. Freeman(Roslin Institute), Elisabetta Giuffra(Génétique Animale et Biologie Intégrative), David Hume(Roslin Institute), Joan K. Lunney(Agricultural Research Service), Michael P. Murtaugh(University of Minnesota), James M. Reecy(Iowa State University), Jennifer Harrow(Wellcome Sanger Institute), Claire Rogel Gaillard(Génétique Animale et Biologie Intégrative), Christopher K. Tuggle(Iowa State University)
BMC Genomics
May 15, 2013
Cited by 207Open Access
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Abstract

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.


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