PALADIN: protein alignment for functional profiling whole metagenome shotgun data

Area of Science:

• Microbiology
• Bioinformatics
• Genomics

Background:

• Whole metagenome shotgun sequencing is crucial for understanding microbial community function.
• Current tools struggle with efficient and accurate DNA read alignment to protein references.
• Accurate alignment is essential for constructing functional profiles of microbial communities.

Purpose of the Study:

• Introduce PALADIN, a novel alignment tool.
• Improve efficiency and accuracy in mapping DNA reads to protein references.
• Enable more effective functional profiling of microbial communities.

Main Methods:

• PALADIN is a modified Burrows-Wheeler Aligner.
• It directly maps DNA reads in protein space.
• Implemented in C with publicly available source code and documentation.

Main Results:

• PALADIN outperformed BWA and NovoAlign in accuracy and efficiency with simulated reads.
• Compared to protein alignment tools, PALADIN was 7x faster than DIAMOND and 8000x faster than BLASTX.
• PALADIN demonstrated comparable accuracy to existing protein alignment tools.

Conclusions:

• PALADIN offers a significant advancement in metagenomic functional profiling.
• The tool provides a highly efficient and accurate solution for DNA-to-protein read alignment.
• PALADIN enhances the analysis of microbial community functional potential.