Accurate Sequencing and Haplotyping from 10 Cells Using Long Fragment Read (LFR) Technology

Area of Science:

• Genomics
• Molecular Biology
• Bioinformatics

Background:

• Accurate genome sequencing and haplotyping from limited cellular input present significant challenges.
• Existing methods often struggle with low DNA input, leading to amplification bias and errors.

Purpose of the Study:

• To describe the application of Long Fragment Read (LFR) technology for complete genome sequencing and haplotyping.
• To demonstrate the efficacy of LFR with very few cells (5-20) and minimal false positive error rates.

Main Methods:

• Long Fragment Read (LFR) technology involves low-bias whole genome amplification and barcoding prior to sequencing.
• Utilizes any second-generation DNA sequencing platform.
• Incorporates parental genotype data for phased variant analysis.

Main Results:

• Enables accurate sequencing from extremely low DNA inputs (32 picograms).
• Achieves haplotyping of nearly all genomic variations with N50 contig lengths up to ~1 Mb.
• Generates phased variants in uninterrupted contigs spanning entire chromosomes when parental data is used.
• Detects and corrects amplification, sequencing, and mapping errors, resulting in false positive error rates as low as 10^-9.

Conclusions:

• LFR technology provides a cost-effective solution for high-quality whole genome sequencing and haplotype data from minimal cell samples.
• The method significantly reduces false positive error rates, enhancing data reliability.
• LFR offers a powerful tool for genomic studies requiring comprehensive analysis from limited cellular material.