Mauve: multiple alignment of conserved genomic sequence with rearrangements

Area of Science:

• Genomics
• Bioinformatics
• Evolutionary Biology

Background:

• Genomes evolve through complex processes like rearrangements and horizontal gene transfer.
• These evolutionary events create challenges for traditional sequence comparison methods.
• Genomes are mosaics of conserved and unique segments with shuffled order.

Purpose of the Study:

• To develop methods for identifying and aligning conserved genomic DNA despite large-scale evolutionary changes.
• To implement these methods in a user-friendly software package named Mauve.
• To evaluate the performance of Mauve through simulations and real-world genome alignments.

Main Methods:

• Development of novel algorithms for detecting conserved DNA segments in rearranged genomes.
• Implementation of these algorithms into the Mauve software package.
• Extensive simulations of genome evolution to test alignment accuracy and robustness.

Main Results:

• Mauve successfully aligns genomes by identifying conserved regions amidst rearrangements and horizontal gene transfer.
• The software was applied to align nine enterobacterial genomes and analyze three mammalian genomes.
• Simulations demonstrated the quality of Mauve alignments compared to other existing methods.

Conclusions:

• Mauve provides an effective solution for comparative genomics of highly divergent genomes.
• The software aids in understanding genome evolution, including large-scale rearrangements and horizontal gene transfer.
• Mauve is a valuable tool for researchers studying genome structure and evolution.