Evidence map›Paper›PMID 40580934›Full record

ArticleMolecular biology and evolution2025

Comparative Analysis of Mammalian Adaptive Immune Loci Revealed Spectacular Divergence and Common Genetic Patterns.

Mariia Pospelova, Katalin Voss, Anton Zamyatin, Corey T Watson, Klaus-Peter Koepfli, Anton Bankevich, Matt Pennell, Yana Safonova

Abstract readComparative Study
In one paragraph

Article in Molecular biology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Mariia PospelovaComputer Science and Engineering Department, Pennsylvania State University, State College, PA, USA.ORCID 0000-0002-5810-3382
Katalin VossDepartment of Computational Biology, Cornell University, Ithaca, NY, USA.ORCID 0009-0004-7211-328X
Anton ZamyatinComputer Science and Engineering Department, Pennsylvania State University, State College, PA, USA.ORCID 0000-0001-5402-1796
Corey T WatsonDepartment of Biochemistry and Molecular Biology, University of Louisville School of Medicine, Louisville, KY, USA.ORCID 0000-0001-7248-8787
Klaus-Peter KoepfliSmithsonian-Mason School of Conservation, George Mason University, Front Royal, VA, USA.ORCID 0000-0001-7281-0676
Anton BankevichComputer Science and Engineering Department, Pennsylvania State University, State College, PA, USA.ORCID 0000-0003-0609-9542
Matt PennellDepartment of Computational Biology, Cornell University, Ithaca, NY, USA.ORCID 0000-0002-2886-3970
Yana SafonovaComputer Science and Engineering Department, Pennsylvania State University, State College, PA, USA.ORCID 0000-0002-9634-4216

Funding

Leveraging phylogenetic approaches to investigate the evolution of geneexpressionR35GM151348 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Matthew Wesley Pennell · 2023 to 2026
$1.6M
NIGMS NIH HHS R35 GM151348
6 · The paper itself

Abstract

Adaptive immune responses are mediated by the production of adaptive immune receptors, antibodies, and T-cell receptors, which bind antigens, thus causing their neutralization. Unlike other proteins, adaptive immune receptors are not fully encoded in the germline genome and result from a complex of somatic processes collectively called V(D)J recombination affecting germline immunoglobulin (IG) and T-cell receptor (TR) loci consisting of template genes. While various existing studies report extreme diversity of antibodies and T-cell receptors, little is known about the diversity of germline IG and TR loci. To overcome this gap, the first comparative analysis of full-length sequences of IG/TR loci across 46 mammalian species from 13 taxonomic orders was performed. First, germline gene counts were shown to correlate in immunoglobulin heavy chain immunoglobulin heavy chain (IGH)/immunoglobulin lambda (IGL) loci and T-cell receptor alpha (TRA)/T-cell receptor beta (TRB) and anticorrelate in immunoglobulin kappa (IGK)/IGL, possibly indicating coevolution between corresponding chains. Second, structures of IG/TR loci were analyzed, and it was shown that IG/TR loci formed by long arrays of high multiplicity repeats are more common for species that have experienced population bottlenecks. Finally, haplotypes of IG/TR loci with little or no sequence similarity within a species were found, suggesting that they may have a limited potential for homologous recombination. These results demonstrate that IG/TR loci are rapidly evolving genomic regions whose structural variation is shaped by the population history of the species and open new perspectives for immunogenomics studies.

Indexed as

Adaptive ImmunityMammalsReceptors, Antigen, T-CellAnimalsEvolution, MolecularGenetic VariationHumansImmunoglobulin Heavy ChainsPhylogenyImmunoglobulin Heavy ChainsReceptors, Antigen, T-Celladaptive immunitygenomicsimmunogenomicsimmunoglobulin locistructural variationsT-cell receptor loci

Identifiers

PMID40580934
PMCPMC12288031

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.