Chromosome-scale assembly of yeast genomes using enzyme-free, dense optical genome mapping
Artikel i vetenskaplig tidskrift, 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.

Författare

Luis Leal Garza

Molekylär biovetenskap

Hanna Zachrisson

Chalmers, Life sciences, Kemisk biologi

Albertas Dvirnas

Chalmers, Life sciences, Kemisk biologi

Umeå universitet

Gaurav Goyal

Chalmers, Life sciences, Kemisk biologi

Ikenna Obi

Umeå universitet

Sriram Kesarimangalam

Molekylär biovetenskap

Nasim Sabouri

Umeå universitet

Tobias Ambjörnsson

Lunds universitet

Fredrik Westerlund

Molekylär biovetenskap

Nature Communications

2041-1723 (ISSN) 20411723 (eISSN)

Vol. 17 1 10404

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Ämneskategorier (SSIF 2025)

Molekylärbiologi

Genetik och genomik

DOI

10.1038/s41467-026-78211-7

PubMed

42823428

Relaterade dataset

Dataset [dataset]

DOI: 10.5281/zenodo.21507295

Mer information

Senast uppdaterat

2026-10-12