Chromosome-scale assembly of yeast genomes using enzyme-free, dense optical genome mapping
Journal article, 2026

Large repetitive elements and complex chromosomal organization continue to challenge accurate assembly of eukaryotic genomes. Optical genome mapping (OGM) provides long-range genomic information by imaging individual DNA molecules. While most OGM protocols rely on sparse enzymatic labeling that restricts resolution in poorly labeled or structurally complex regions, dense labeling strategies generate continuous fluorescence intensity profiles that offer a complementary representation of genome structure. Here we extend our Dense Optical Genome Mapping Assembly (DOGMA) pipeline, previously used for bacterial genomes, to eukaryotic genomes, exemplified by the yeasts Saccharomyces cerevisiae and Schizosaccharomyces pombe, with compact, yet structurally rich genomes. We use a competitive binding (CB)-based dense OGM protocol that produces continuous intensity profiles, reflecting local AT/GC-content, along individual DNA molecules. By explicitly accounting for structural features inherent to eukaryotic genomes that complicate assembly, DOGMA reconstructs genome-wide optical maps while avoiding collapse of non-adjacent repetitive loci. The resulting chromosome-scale assemblies span the genomes of both yeasts and show local differences relative to the corresponding reference genomes, including expanded repetitive arrays (> 500 kbp). These results establish a comprehensive framework for scalable dense OGM to increasingly complex genomes, including the human genome, where we foresee that it can be efficiently used for disease diagnosis.

Author

Luis Leal Garza

Molecular Bioscience

Hanna Zachrisson

Chalmers, Life Sciences, Chemical Biology

Albertas Dvirnas

Chalmers, Life Sciences, Chemical Biology

Umeå University

Gaurav Goyal

Chalmers, Life Sciences, Chemical Biology

Ikenna Obi

Umeå University

Sriram Kesarimangalam

Molecular Bioscience

Nasim Sabouri

Umeå University

Tobias Ambjörnsson

Lund University

Fredrik Westerlund

Molecular Bioscience

Nature Communications

2041-1723 (ISSN) 20411723 (eISSN)

Vol. 17 1 10404

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Subject Categories (SSIF 2025)

Molecular Biology

Genetics and Genomics

DOI

10.1038/s41467-026-78211-7

PubMed

42823428

Related datasets

Dataset [dataset]

DOI: 10.5281/zenodo.21507295

More information

Latest update

10/12/2026