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Comparative Lesions Analysis Through a Targeted Sequencing Approach
Published on: November 5, 2019
Similar compositional biases are caused by very different mutational effects.
Eduardo P C Rocha1, Marie Touchon, Edward J Feil
1Unité Génétique des Génomes Bactériens, URA 2171, Institut Pasteur, 75015 Paris, France. erocha@pasteur.fr
Genome Research
|October 28, 2006
Summary
GC skew, a genome-wide compositional bias, varies significantly across taxa. Replication strand bias is multifactorial, with different mutation types driving asymmetry in various species, challenging universal explanations.
Area of Science:
- Genomics
- Molecular Evolution
- Bioinformatics
Background:
- Compositional replication strand bias (GC skew) is a common feature in diverse genomes.
- Cytosine deamination (C-->T) is often cited as the primary cause, but its exact role and other mutational influences remain unclear.
- It is unknown if mutational asymmetries are conserved across species, stable over time, or near equilibrium.
Purpose of the Study:
- To investigate the contributions of various substitution types to GC skew.
- To determine if mutational asymmetries are conserved across bacterial taxa.
- To assess if genomes are at mutational equilibrium.
Main Methods:
- Analysis of nearly neutral sites in bacterial genomes.
- Inference of substitution spectra at fourfold degenerate positions in non-highly expressed genes.
- Application of a bootstrap procedure to identify replication-associated compositional biases and asymmetries.
Main Results:
- All analyzed taxa exhibit an overrepresentation of G over C on the leading strand, with notable A/T imbalances.
- Significant substitution asymmetries were observed, but varied widely among taxa; no single substitution type was universally biased.
- In highly biased genomes, A-->G substitutions, not C-->T, were the dominant factor shaping compositional bias.
Conclusions:
- Replication strand bias is a multifactorial process with varying mutational underpinnings across different genomes.
- Most genomes are not at compositional equilibrium, indicating deep imprints of mutational heterotachy.
- Observed compositional biases do not necessarily reflect similar underlying mutational processes, necessitating caution in interpretation.
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