Evidence map›Paper›PMID 42823428›Full record

ArticleNature communications2026

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

Luis Mario Leal-Garza, Hanna Zachrisson, Albertas Dvirnas, Gaurav Goyal, Ikenna Obi, Sriram Kk, Nasim Sabouri, Tobias Ambjörnsson, Fredrik Westerlund

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Luis Mario Leal-GarzaDepartment of Life Sciences, Chalmers University of Technology, Gothenburg, Sweden.ORCID 0009-0006-4925-0133
Hanna ZachrissonDepartment of Life Sciences, Chalmers University of Technology, Gothenburg, Sweden.
Albertas DvirnasDepartment of Life Sciences, Chalmers University of Technology, Gothenburg, Sweden.
Gaurav GoyalDepartment of Life Sciences, Chalmers University of Technology, Gothenburg, Sweden.
Ikenna ObiDepartment of Medical Biochemistry and Biophysics, Umeå University, Umeå, Sweden.ORCID 0000-0003-0364-8964
Sriram KkDepartment of Life Sciences, Chalmers University of Technology, Gothenburg, Sweden.ORCID 0000-0002-4661-242X
Nasim SabouriDepartment of Medical Biochemistry and Biophysics, Umeå University, Umeå, Sweden.ORCID 0000-0002-4541-7702
Tobias AmbjörnssonDepartment of Earth and Environmental Sciences, Lund University, Lund, Sweden.
Fredrik WesterlundDepartment of Life Sciences, Chalmers University of Technology, Gothenburg, Sweden. fredrikw@chalmers.se.ORCID 0000-0002-4767-4868

Funding

Barncancerfonden (Swedish Childhood Cancer Foundation) MT2022-0003Knut och Alice Wallenbergs Stiftelse (Knut and Alice Wallenberg Foundation) KAW.2021.0173
6 · The paper itself

Abstract

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.

Indexed as

Chromosome MappingChromosomes, FungalGenome, FungalSaccharomyces cerevisiaeSchizosaccharomycesDNA, FungalDNA, Fungal

Identifiers

PMID42823428
PMCPMC13631253

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.