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HapAsmbl: A reference-aided pipeline for assembling haplotypes in Nanopore amplicon sequence data of polymorphic
Ayodele Oluwaseyi Fakoya1, Augustine Chen1, Rowan Paul Herridge1
1Department of Biochemistry University of Otago Dunedin New Zealand.
Applications in Plant Sciences
|June 25, 2026
Summary
A new bioinformatics pipeline, HapAsmbl, enables accurate diploid haplotype assembly from long-read sequencing data. This tool aids in discovering novel alleles and supporting plant breeding in diverse populations.
Area of Science:
- Genomics and Bioinformatics
- Plant Genetics
- Population Genetics
Background:
- Long-read sequencing technologies, such as Oxford Nanopore Technologies (ONT), have advanced multi-locus, long-read amplicon sequencing (LRAS) for studying haplotype diversity.
- A gap exists in bioinformatics pipelines for assembling diploid haplotypes from multi-locus LRAS data, particularly for heterozygous and highly polymorphic plant populations.
Purpose of the Study:
- To develop and evaluate a bioinformatics pipeline for assembling diploid haplotypes from multi-locus LRAS data.
- To enable scalable haplotype analysis and novel allele discovery in heterozygous plant individuals.
Main Methods:
- Evaluated various de novo and reference-based assembly methods.
- Developed a custom pipeline, HapAsmbl, to assemble haplotypes from ONT LRAS data of flowering genes in perennial ryegrass.
- Validated HapAsmbl using simulated heterozygous datasets and applied it to analyze haplotype diversity in multiple ryegrass populations.
Main Results:
- HapAsmbl demonstrated superior performance in reliably reconstructing diploid haplotypes across multiple loci compared to existing tools.
- The pipeline enabled efficient haplotype characterization and the discovery of novel alleles in genetically diverse populations.
- Successfully applied HapAsmbl to explore haplotype diversity of key flowering genes in perennial ryegrass.
Conclusions:
- HapAsmbl simplifies haplotype resolution from complex LRAS datasets, facilitating routine use of ONT long-read sequencing for haplotype analysis.
- The pipeline supports researchers in uncovering novel alleles and linking them to plant phenotypes, aiding plant breeding efforts, especially in non-model crops.
