Evaluation of phylogenetic reconstruction methods using bacterial whole genomes: a simulation based study.

Area of Science:

• Computational Biology
• Evolutionary Biology
• Genomics

Background:

• Phylogenetic reconstruction is crucial for bacterial population genomics.
• Numerous phylogenetic inference methods exist with varying strengths and weaknesses.
• Unbiased comparisons of these methods are scarce.

Purpose of the Study:

• To compare the accuracy and computational efficiency of diverse phylogenetic reconstruction methods.
• To evaluate the impact of different gene sets on phylogenetic inference.
• To provide guidance on selecting appropriate phylogenetic methods based on accuracy and speed.

Main Methods:

• Simulated whole genome data from a known phylogenetic tree using a realistic evolutionary model.
• Inferred phylogenies using a range of methods, including maximum likelihood and genetic distance-based approaches.
• Validated methods using real bacterial genome alignments (Streptococcus pneumoniae) and compared core gene trees to a core genome tree.

Main Results:

• Maximum likelihood methods yield the most accurate phylogenies but are computationally intensive.
• Faster genetic distance methods provide comparable accuracy, suitable for rapid phylogenetic inference.
• Highly conserved genes (e.g., translation-related) can lead to inaccurate tree topology, while recombination-associated genes can distort branch lengths.

Conclusions:

• Recommended phylogenetic reconstruction approaches balance accuracy and computational demands.
• Faster methods are viable for many analyses, with high-quality alignment being a key factor for accurate topology.
• Released simulated data and code to facilitate future method comparisons.