Long-read assembly of major histocompatibility complex and killer cell immunoglobulin-like receptor genome regions in cynomolgus macaque

Author:

Hu Qingxiu,Huang Xiaoqi,Jin Yabin,Zhang Rui,Zhao Aimin,Wang Yiping,Zhou Chenyun,Liu Weixin,Liu Xunwei,Li Chunhua,Fan Guangyi,Zhuo Min,Wang Xiaoning,Ling Fei,Luo Wei

Abstract

AbstractBackgroundThe major histocompatibility complex (MHC) and the killer cell immunoglobulin-like receptors (KIR) are key regulators of immune responses. The cynomolgus macaque, an Old World monkey species, can be applied as an important preclinical model for studying human diseases, including coronavirus disease 2019 (COVID-19). Several MHC-KIR combinations have been associated with either a poor or good prognosis. Therefore, macaques with a well-characterized immunogenetic profile may improve drug evaluation and speed up vaccine development. At present, a complete overview of the MHC and KIR haplotype organizations in cynomolgus macaques is lacking, and characterization by conventional techniques is hampered by the extensive expansion of the macaque MHC-B region that complicates the discrimination between genes and alleles.MethodsWe assembled complete MHC and KIR genomic regions of cynomolgus macaque using third-generation long-read sequencing approach. We identified functionalMafa-Bloci at the transcriptome level using locus-specific amplification in a cohort of 33 Vietnamese cynomolgus macaques.ResultsThis is the first physical mapping of completeMHCandKIRgene regions in a Vietnamese cynomolgus macaque. Furthermore, we identified four functionalMafa-Bloci (B2,B3,B5, andB6) and showed that alleles of theMafa-I*01,-B*056,-B*034, and-B*001functional lineages, respectively, are highly frequent in the Vietnamese cynomolgus macaque population.ConclusionThe insights into the MHC and KIR haplotype organizations and the level of diversity may refine the selection of animals with specific genetic markers for future medical research.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics,Immunology

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