Bighorn sheep T2T genome assembly reveals differences in immune genes: a potential cause of high morbidity due to respiratory pathogens.

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Bibliographic Details
Title: Bighorn sheep T2T genome assembly reveals differences in immune genes: a potential cause of high morbidity due to respiratory pathogens.
Authors: Olagunju TA; Department of Animal, Veterinary and Food Sciences, University of Idaho, Moscow, ID, USA., Pospelova M; Computer Science and Engineering Department. Pennsylvania State University, State College, University Park, PA, USA., Schwartz JC; The Pirbright Institute, Ash Road, Woking GU24 0NF, UK., Mousel MR; U.S. Department of Agriculture, Agricultural Research Service, Animal Disease Research Unit, Pullman, WA, USA.; Washington State University, Center for Global Health, Pullman, WA, USA., Piel LMW; U.S. Department of Agriculture, Agricultural Research Service, Animal Disease Research Unit, Pullman, WA, USA., Grossman PC; U.S. Department of Agriculture, Agricultural Research Service, Animal Disease Research Unit, Pullman, WA, USA., Huyvaert KP; Department of Veterinary Microbiology and Pathology, Washington State University, Pullman, WA, USA., Kuhn KL; U.S. Department of Agriculture Meat Animal Research Center, Clay Center, NE, USA., Raihan T; CVRC Bioinformatics Core, Cardiovascular Research Center, University of Virginia School of Medicine, Charlottesville, VA, USA., Stegemiller MR; Department of Animal, Veterinary and Food Sciences, University of Idaho, Moscow, ID, USA., Khilji SF; Department of Animal, Veterinary and Food Sciences, University of Idaho, Moscow, ID, USA., Murdoch GK; Department of Animal, Veterinary and Food Sciences, University of Idaho, Moscow, ID, USA.; Animal Sciences, CAHNRS, Washington State University, Pullman, WA, USA., Tibary A; Department of Veterinary Clinical Science, College of Veterinary Medicine, Washington State University, Pullman, WA, USA., Waits LP; Department of Fish and Wildlife Sciences, University of Idaho, Moscow, ID, USA., Rhie A; Genome Informatics Section, Center for Genomics and Data Science Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA., Koren S; Genome Informatics Section, Center for Genomics and Data Science Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA., Phillipy AM; Genome Informatics Section, Center for Genomics and Data Science Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA., McKay SD; Division of Animal Sciences, University of Missouri, Columbia, MO, USA., Clarke SM; Animal Genomics, AgResearch, New Zealand Institute for Bioeconomy Science, Dunedin, NZ., Clark EL; European Bioinformatics Institute, Cambridge, England, GB., Brauning R; Bioinformatics and Modelling, AgResearch, New Zealand Institute for Bioeconomy Science, Christchurch, NZ., Cockett NE; Animal, Dairy, and Veterinary Sciences Department, Utah State University, Logan, UT, USA., Hammond JA; The Pirbright Institute, Ash Road, Woking GU24 0NF, UK., Highland M; Wisconsin Veterinary Diagnostic Laboratory, Madison, WI, USA.; Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin, Madison, WI, USA., Safonova Y; Computer Science and Engineering Department. Pennsylvania State University, State College, University Park, PA, USA.; Huck Institutes of Life Sciences, Pennsylvania State University, State College, University Park, PA, USA., Smith TPL; U.S. Department of Agriculture Meat Animal Research Center, Clay Center, NE, USA., Rosen BD; Animal Genomics and Improvement Laboratory, USDA Agricultural Research Service, Beltsville, MD, USA., Murdoch BM; Department of Animal, Veterinary and Food Sciences, University of Idaho, Moscow, ID, USA.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2025 Oct 02. Date of Electronic Publication: 2025 Oct 02.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2692-8205
DOI:10.1101/2025.09.30.679298