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Population-level genomic analysis of immunoglobulin loci variation in rhesus macaques reveals extensive germline diversity

  • Ayelet Peres
  • , Amit A. Upadhyay
  • , Vered Klein
  • , Swati Saha
  • , Oscar L. Rodriguez
  • , Zachary M. Vanwinkle
  • , Kirti Karunakaran
  • , Amanda Metz
  • , William Lauer
  • , Mark C. Lin
  • , Timothy Melton
  • , Lukas Granholm
  • , Pazit Polak
  • , Samuel M. Peterson
  • , Eric J. Peterson
  • , Nagarajan Raju
  • , Kaitlyn Shields
  • , Steven Schultze
  • , Thang Ton
  • , Adam J. Ericsen
  • Stacey A. Lapp, Francois Villinger, Mats Ohlin, Christopher A. Cottrell, Rama R. Amara, Cynthia A. Derdeyn, Shane Crotty, William R. Schief, Gunilla B.Karlsson Hedestam, Melissa L. Smith, William Lees, Corey T. Watson, Gur Yaari, Steven E. Bosinger

Research output: Contribution to journalArticlepeer-review

Abstract

Rhesus macaques (RMs) are a vital model for studying human disease and are invaluable to preclinical vaccine research, particularly for the study of broadly neutralizing antibody responses. Such studies require robust genetic resources for antibody-encoding genes within the immunoglobulin (IG) loci. The complexity of the IG loci has historically made them challenging to characterize accurately. To address this, we developed experimental and computational methodologies to generate a collection of integrated antibody repertoire and long-read genomic sequencing data in 106 Indian-origin RMs. We created a resource of IG heavy- and light-chain variable (V), diversity (D), and joining (J) alleles, as well as leader, intronic, and recombination signal sequences (RSSs). This includes the curation of 1,095 previously unidentified alleles, unveiling tremendous diversity and expanding existing IG allele sets by 40%. This publicly available, continually updated resource (https://vdjbase.org/reference_book/Rhesus_Macaque) provides the foundation for advancing RM immunogenomics, vaccine discovery, and translational research.

Original languageEnglish
Pages (from-to)213-228.e6
JournalImmunity
Volume59
Issue number1
DOIs
StatePublished - 13 Jan 2026

Bibliographical note

Publisher Copyright:
© 2025 The Author(s)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • B cell receptor
  • HIV
  • antibodies
  • broadly neutralizing antibodies
  • database
  • genomics
  • germline inference
  • immunoglobulins
  • repertoire
  • rhesus macaque

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