Phased diploid genome assembly with single-molecule real-time sequencing

Area of Science:

• Genomics
• Bioinformatics
• Computational Biology

Background:

• Genome assembly is challenging for noninbred and rearranged heterozygous genomes.
• Existing short-read and some long-read approaches struggle with complex genome structures.

Purpose of the Study:

• Introduce open-source FALCON and FALCON-Unzip algorithms for diploid genome assembly.
• Improve accuracy, contiguity, and phasing of genome assemblies using long-read sequencing data.
• Enable the study of haplotype structure and heterozygosity in complex genomes.

Main Methods:

• Utilized FALCON and FALCON-Unzip algorithms for genome assembly.
• Applied long-read sequencing technology to heterozygous samples.
• Generated phased diploid genome assemblies for diverse species.

Main Results:

• Achieved highly accurate, contiguous, and phased diploid genome assemblies.
• FALCON-based assemblies surpassed alternate short- and long-read approaches in contiguity and completeness.
• Identified widespread heterozygous structural variation, including within coding sequences.

Conclusions:

• FALCON algorithms provide a robust solution for assembling complex heterozygous genomes.
• Phased diploid assemblies facilitate detailed analysis of genomic variation and haplotype structure.
• This work advances genomic research for noninbred and rearranged organisms.