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    Area of Science:

    • Molecular Biology
    • Evolutionary Genetics
    • Bioinformatics

    Background:

    • Transfer RNAs (tRNAs) are highly conserved and frequently transcribed genes.
    • Transcription-associated mutagenesis (TAM) contributes to sequence variation near tRNA genes.
    • The role of TAM in tRNA allelic variation is debated due to strong selection for structural integrity and TAM's tendency for stabilizing mutations.

    Purpose of the Study:

    • To investigate the extent to which TAM drives tRNA allelic variation at the population level.
    • To develop and test a model of tRNA microevolution incorporating TAM-specific mutational biases.
    • To compare the fit of a TAM-biased model with standard evolutionary models using empirical data.

    Main Methods:

    • Analysis of tRNA allelic variation in contemporary *Caenorhabditis elegans* strains.
    • Development of a continuous Markov substitution model accounting for TAM-specific mutational biases.
    • Comparison of model fit to empirical data against standard evolutionary models (e.g., GTR).

    Main Results:

    • Observed tRNA secondary structure characteristics align with predicted TAM-biased patterns.
    • A TAM-biased Markov model significantly outperforms standard models in fitting *C. elegans* tRNA data.
    • TAM is identified as a significant factor shaping tRNA allelic variation in populations.

    Conclusions:

    • Transcription-associated mutagenesis plays a substantial role in the microevolution of transfer RNAs.
    • These findings support experimental studies on tRNA fitness but contrast with theoretical models prioritizing base-pairing stability.
    • The study highlights the importance of considering mutagenic processes in understanding genetic variation in essential genes.