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Evolutionary arms race between transposable elements and human genes: telomere-to-telomere genome comprehensive analysis identifies young L1 clusters in the interferon-alpha domain
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Authors
Abstract
Transposable elements (TEs) have played a central role in major evolutionary transitions across the human lineage, from eukaryogenesis to the emergence of the eutherian placenta, and are currently reactivated in cancer and autoimmune diseases. The availability of the complete telomere-to-telomere (T2T) human genome assembly enables comprehensive investigation of TE contributions to gene regulation. Using a 10 kb window in the T2T genome, we performed comprehensive mapping of 3,709,429 human TEs to 28,738 genes with random background correction and assessed the enrichment and functional associations of six TE classes and 44 families. We identified a 220 kb interferon-alpha genomic domain enriched with evolutionarily young L1 elements, suggesting a recent evolutionary arms race influencing innate immune responses. Distinct TE classes exhibited specific functional associations: SVA elements were enriched near genes involved in transcription termination; Alu elements were linked to RNA processing and splicing; MIR elements were associated with genes involved in zinc, copper, and cadmium detoxification; LINE elements were enriched near genes related to lipid metabolism and olfactory perception; and LTR elements were potentially associated with potassium ion channel function. This proximity-based analysis provides a foundational framework for evaluating the functional impact of transposable elements on human gene regulation and their role in driving regulatory innovation.
DOI
https://doi.org/10.32942/X2FM2M
Subjects
Life Sciences
Keywords
transposable elements, evolutionary arms-race, T2T genome, interferon alpha, functional enrichment
Dates
Published: 2026-04-17 08:13
Last Updated: 2026-04-17 08:13
License
CC BY Attribution 4.0 International
Additional Metadata
Data and Code Availability Statement:
All code used for the comprehensive proximity mapping, statistical analysis, and GO functional networking is available in the GitHub repository: https://github.com/Nikit357/T2T_genes_evolution. Tables of TE-gene intersections, including divergence and family-level enrichment statistics, have been deposited in the same GitHub repository.
Language:
English
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