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Analytical Biases Associated with GC-Content in Molecular Evolution.

Jonathan Romiguier¹, Camille Roux¹

¹Department of Ecology and Evolution, University of Lausanne Lausanne, Switzerland.

Frontiers in Genetics

|March 7, 2017

Summary

Genomic GC-content distribution significantly impacts molecular evolution studies. Understanding base composition heterogeneity is crucial for accurate phylogenetic analysis and selection detection.

Keywords:

GC-content biased gene conversion codon usage bias methodological biases phylogeny positive selection

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Area of Science:

Genomics
Molecular Evolution
Bioinformatics

Background:

High-throughput sequencing provides vast genome-wide data for multi-species molecular evolution studies.
GC-content is a fundamental genome metric, but its distribution is often overlooked in DNA sequence analyses.
Ignoring base composition heterogeneity can introduce biases in downstream analyses.

Purpose of the Study:

To demonstrate how GC-content heterogeneity biases common molecular evolution analyses.
To identify the causes of GC-associated biases.
To propose methods for overcoming these biases.

Main Methods:

Analysis of genome-wide data from multiple species.
Evaluation of phylogenetic tree reconstruction methods.
Assessment of natural selection detection techniques.
Examination of codon usage estimation.

Main Results:

Base composition heterogeneity among loci and taxa demonstrably biases phylogenetic tree reconstruction.
GC-content variations lead to inaccuracies in detecting natural selection.
Estimations of codon usage are skewed by non-uniform GC distribution.
Biological, technical, and methodological factors contribute to GC-associated biases.

Conclusions:

GC-content distribution is a critical, yet often neglected, factor in molecular evolution.
Failure to account for base composition heterogeneity can lead to erroneous biological conclusions.
Addressing GC-associated biases is essential for robust and reliable genomic analyses.