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

Authors :
Qingxiu Hu
Xiaoqi Huang
Yabin Jin
Rui Zhang
Aimin Zhao
Yiping Wang
Chenyun Zhou
Weixin Liu
Xunwei Liu
Chunhua Li
Guangyi Fan
Min Zhuo
Xiaoning Wang
Fei Ling
Wei Luo
Source :
Biology Direct, Vol 17, Iss 1, Pp 1-16 (2022)
Publication Year :
2022
Publisher :
BMC, 2022.

Abstract

Abstract Background The 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. Methods We assembled complete MHC and KIR genomic regions of cynomolgus macaque using third-generation long-read sequencing approach. We identified functional Mafa-B loci at the transcriptome level using locus-specific amplification in a cohort of 33 Vietnamese cynomolgus macaques. Results This is the first physical mapping of complete MHC and KIR gene regions in a Vietnamese cynomolgus macaque. Furthermore, we identified four functional Mafa-B loci (B2, B3, B5, and B6) and showed that alleles of the Mafa-I*01, -B*056, -B*034, and -B*001 functional lineages, respectively, are highly frequent in the Vietnamese cynomolgus macaque population. Conclusion The 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.

Details

Language :
English
ISSN :
17456150
Volume :
17
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Biology Direct
Publication Type :
Academic Journal
Accession number :
edsdoj.1be83e448f3642c0b8908687d340e69e
Document Type :
article
Full Text :
https://doi.org/10.1186/s13062-022-00350-w