Signal-based optical map alignment.

In genomics, optical mapping technology provides long-range contiguity information to improve genome sequence assemblies and detect structural variation. Originally a laborious manual process, Bionano Genomics platforms now offer high-throughput, automated optical mapping based on chips packed with nanochannels through which unwound DNA is guided and the fluorescent DNA backbone and specific restriction sites are recorded. Although the raw image data obtained is of high quality, the processing and assembly software accompanying the platforms is closed source and does not seem to make full use of data, labeling approximately half of the measured signals as unusable. Here we introduce two new software tools, independent of Bionano Genomics software, to extract and process molecules from raw images (OptiScan) and to perform molecule-to-molecule and molecule-to-reference alignments using a novel signal-based approach (OptiMap). We demonstrate that the molecules detected by OptiScan can yield better assemblies, and that the approach taken by OptiMap results in higher use of molecules from the raw data. These tools lay the foundation for a suite of open-source methods to process and analyze high-throughput optical mapping data. The Python implementations of the OptiTools are publicly available through http://www.bif.wur.nl/.

Single-molecule optical mapping of the distribution of DNA phosphorothioate epigenetics.

DNA phosphorothioate (PT) modifications, with the nonbridging phosphate oxygen replaced by sulfur, governed by DndABCDE or SspABCD, are widely distributed in prokaryotes and have a highly unusual feature of occupying only a small portion of available consensus sequences in a genome. Despite the presence of plentiful non-PT-protected consensuses, DNA PT modification is still employed as a recognition tag by the restriction cognate, for example, DndFGH or SspE, to discriminate and destroy PT-lacking foreign DNA. This raises a fundamental question about how PT modifications are distributed along DNA molecules to keep the restriction components in check. Here, we present two single-molecule strategies that take advantage of the nucleophilicity of PT in combination with fluorescent markers for optical mapping of both single- and double-stranded PT modifications across individual DNA molecules. Surprisingly, PT profiles vary markedly from molecule to molecule, with different PT locations and spacing distances between PT pairs, even in the presence of DndFGH or SspE. The results revealed unprecedented PT modification features previously obscured by ensemble averaging, providing novel insights into the riddles regarding unusual target selection by PT modification and restriction components.

Tracing DNA paths and RNA profiles in cultured cells and tissues with ORCA.

Chromatin conformation capture (3C) methods and fluorescent in situ hybridization (FISH) microscopy have been used to investigate the spatial organization of the genome. Although powerful, both techniques have limitations. Hi-C is challenging for low cell numbers and requires very deep sequencing to achieve its high resolution. In contrast, FISH can be done on small cell numbers and capture rare cell populations, but typically targets pairs of loci at a lower resolution. Here we detail a protocol for optical reconstruction of chromatin architecture (ORCA), a microscopy approach to trace the 3D DNA path within the nuclei of fixed tissues and cultured cells with a genomic resolution as fine as 2 kb and a throughput of ~10,000 cells per experiment. ORCA can identify structural features with comparable resolution to Hi-C while providing single-cell resolution and multimodal measurements characteristic of microscopy. We describe how to use this DNA labeling in parallel with multiplexed labeling of dozens of RNAs to relate chromatin structure and gene expression in the same cells. Oligopaint probe design, primary probe making, sample collection, cryosectioning and RNA/DNA primary probe hybridization can be completed in 1.5 weeks, while automated RNA/DNA barcode hybridization and RNA/DNA imaging typically takes 2-6 d for data collection and 2-7 d for the automated steps of image analysis.

Importancia del mapeo óptico de cultivos de cardiomiocitos HL-1 en estudios electrofisiológicos / Importance of the optical mapping of HL-1 cardiomyocyte cultures in electrophysiological studies

Introducción: El desarrollo de herramientas para investigar la actividad electrofisiológica cardiaca ha permitido profundizar en el conocimiento sobre los mecanismos subyacentes a las arritmias cardiacas. Los sistemas de mapeo óptico constituyen una tecnología que responde a la necesidad de superar varios obstáculos en la experimentación. Objetivo: Proporcionar una visión general de la importancia del mapeo óptico en cultivos celulares HL-1, en las investigaciones en electrofisiología cardiaca. Métodos: Se realizó una revisión sobre los estudios electrofisiológicos que involucran la línea celular HL-1 utilizando la técnica de mapeo óptico. Conclusiones: Los trabajos se caracterizan por la implementación de la técnica respecto a la tecnología de los equipos de mapeo, a la utilización de diferentes colorantes y al objetivo de la investigación. Están enfocados en el estudio de mecanismos arritmogénicos, procesos de estiramiento mecánico o remodelación del tejido y en el análisis de nuevos biomateriales. Lo anterior, sustenta la relevancia del mapeo óptico en la investigación cardiaca(AU)

Introduction: The development of tools to study cardiac electrophysiological activity has made it possible to broaden knowledge about the mechanisms underlying cardiac arrhythmias. Optical mapping systems constitute a technology that responds to the need to overcome several hurdles in experimentation. Objective: Provide an overview of the importance of optical mapping in HL-1 cell cultures in cardiac electrophysiology research. Methods: A review was conducted of electrophysiological studies involving the HL-1 cell line using the optical mapping technique. Conclusions: The studies are characterized by implementation of the technique with respect to the technology of mapping equipment, the use of different colorants and the purpose of the research. They focus on the study of arrhythmogenic mechanisms, mechanical stretch processes or tissue remodeling as well as the analysis of new biomaterials. The above substantiates the relevance of optical mapping in cardiac research(AU)

OMMA enables population-scale analysis of complex genomic features and phylogenomic relationships from nanochannel-based optical maps.

BACKGROUND: Optical mapping is an emerging technology that complements sequencing-based methods in genome analysis. It is widely used in improving genome assemblies and detecting structural variations by providing information over much longer (up to 1 Mb) reads. Current standards in optical mapping analysis involve assembling optical maps into contigs and aligning them to a reference, which is limited to pairwise comparison and becomes bias-prone when analyzing multiple samples. FINDINGS: We present a new method, OMMA, that extends optical mapping to the study of complex genomic features by simultaneously interrogating optical maps across many samples in a reference-independent manner. OMMA captures and characterizes complex genomic features, e.g., multiple haplotypes, copy number variations, and subtelomeric structures when applied to 154 human samples across the 26 populations sequenced in the 1000 Genomes Project. For small genomes such as pathogenic bacteria, OMMA accurately reconstructs the phylogenomic relationships and identifies functional elements across 21 Acinetobacter baumannii strains. CONCLUSIONS: With the increasing data throughput of optical mapping system, the use of this technology in comparative genome analysis across many samples will become feasible. OMMA is a timely solution that can address such computational need. The OMMA software is available at https://github.com/TF-Chan-Lab/OMTools.

Clinical application of single-molecule optical mapping to a multigeneration FSHD1 pedigree.

INTRODUCTION: Facioscapulohumeral muscular dystrophy 1 (FSHD1) is a relatively common autosomal dominant adult muscular dystrophy with variable disease penetrance. The disease is caused by shortening of a D4Z4 repeat array located near the telomere of chromosome 4 at 4q35. This causes activation of a dormant gene DUX4, permitting aberrant DUX4 expression which is toxic to muscles. Molecular diagnosis of FSHD1 by Southern blot hybridization or FISH combing is difficult and time consuming, requiring specialist laboratories. As an alternative, we apply a novel approach for the diagnosis of FSHD1 utilizing single-molecule optical mapping (SMOM). METHODS: Long DNA molecules with BssS1 enzyme marking were subjected to SMOM on the Bionano Genomics platform to determine the number of D4Z4 repeats. Southern blot and molecular combing were used to confirm the FSHD1 haplotypes. RESULTS: In a study of a five-generation FSHD1 pedigree, SMOM correctly diagnosed the disease and normal haplotypes, identifying the founder 4qA disease allele as having 4 D4Z4 repeat units. Southern blot and molecular combing analysis confirmed the SMOM results for the 4qA disease and 4qB nondisease alleles. CONCLUSION: Based on our findings, we propose that SMOM is a reliable and accurate technique suitable for the molecular diagnosis of FSHD1.

OMBlast: alignment tool for optical mapping using a seed-and-extend approach.

Background: Optical mapping is a technique for capturing fluorescent signal patterns of long DNA molecules (in the range of 0.1­1 Mbp). Recently, it has been complementing the widely used short-read sequencing technology by assisting with scaffolding and detecting large and complex structural variations (SVs). Here, we introduce a fast, robust and accurate tool called OMBlast for aligning optical maps, the set of signal locations on the molecules generated from optical mapping. Our method is based on the seed-and-extend approach from sequence alignment, with modifications specific to optical mapping. Results: Experiments with both synthetic and our real data demonstrate that OMBlast has higher accuracy and faster mapping speed than existing alignment methods. Our tool also shows significant improvement when aligning data with SVs. Availability and Implementation: OMBlast is implemented for Java 1.7 and is released under a GPL license. OMBlast can be downloaded from https://github.com/aldenleung/OMBlast and run directly on machines equipped with a Java virtual machine. Contact: kevinyip@cse.cuhk.edu.hk and tf.chan@cuhk.edu.hk Supplementary Information: Supplementary data are available at Bioinformatics online.

Single-Molecule Real-Time Sequencing Combined with Optical Mapping Yields Completely Finished Fungal Genome.

UNLABELLED: Next-generation sequencing (NGS) technologies have increased the scalability, speed, and resolution of genomic sequencing and, thus, have revolutionized genomic studies. However, eukaryotic genome sequencing initiatives typically yield considerably fragmented genome assemblies. Here, we assessed various state-of-the-art sequencing and assembly strategies in order to produce a contiguous and complete eukaryotic genome assembly, focusing on the filamentous fungus Verticillium dahliae. Compared with Illumina-based assemblies of the V. dahliae genome, hybrid assemblies that also include PacBio-generated long reads establish superior contiguity. Intriguingly, provided that sufficient sequence depth is reached, assemblies solely based on PacBio reads outperform hybrid assemblies and even result in fully assembled chromosomes. Furthermore, the addition of optical map data allowed us to produce a gapless and complete V. dahliae genome assembly of the expected eight chromosomes from telomere to telomere. Consequently, we can now study genomic regions that were previously not assembled or poorly assembled, including regions that are populated by repetitive sequences, such as transposons, allowing us to fully appreciate an organism's biological complexity. Our data show that a combination of PacBio-generated long reads and optical mapping can be used to generate complete and gapless assemblies of fungal genomes. IMPORTANCE: Studying whole-genome sequences has become an important aspect of biological research. The advent of next-generation sequencing (NGS) technologies has nowadays brought genomic science within reach of most research laboratories, including those that study nonmodel organisms. However, most genome sequencing initiatives typically yield (highly) fragmented genome assemblies. Nevertheless, considerable relevant information related to genome structure and evolution is likely hidden in those nonassembled regions. Here, we investigated a diverse set of strategies to obtain gapless genome assemblies, using the genome of a typical ascomycete fungus as the template. Eventually, we were able to show that a combination of PacBio-generated long reads and optical mapping yields a gapless telomere-to-telomere genome assembly, allowing in-depth genome analyses to facilitate functional studies into an organism's biology.

Whole genome mapping as a fast-track tool to assess genomic stability of sequenced Staphylococcus aureus strains.

BACKGROUND: Whole genome (optical) mapping (WGM), a state-of-the-art mapping technology based on the generation of high resolution restriction maps, has so far been used for typing clinical outbreak strains and for mapping de novo sequence contigs in genome sequencing projects. We employed WGM to assess the genomic stability of previously sequenced Staphylococcus aureus strains that are commonly used in laboratories as reference standards. RESULTS: S. aureus strains (n = 12) were mapped on the Argus™ Optical Mapping System (Opgen Inc, Gaithersburg, USA). Assembly of NcoI-restricted DNA molecules, visualization, and editing of whole genome maps was performed employing MapManager and MapSolver softwares (Opgen Inc). In silico whole genome NcoI-restricted maps were also generated from available sequence data, and compared to the laboratory-generated maps. Strains showing differences between the two maps were resequenced using Nextera XT DNA Sample Preparation Kit and Miseq Reagent Kit V2 (MiSeq, Illumina) and de novo assembled into sequence contigs using the Velvet assembly tool. Sequence data were correlated with corresponding whole genome maps to perform contig mapping and genome assembly using MapSolver. Of the twelve strains tested, one (USA300_FPR3757) showed a 19-kbp deletion on WGM compared to its in silico generated map and reference sequence data. Resequencing of the USA300_FPR3757 identified the deleted fragment to be a 13 kbp-long integrative conjugative element ICE6013. CONCLUSIONS: Frequent subculturing and inter-laboratory transfers can induce genomic and therefore, phenotypic changes that could compromise the utility of standard reference strains. WGM can thus be used as a rapid genome screening method to identify genomic rearrangements whose size and type can be confirmed by sequencing.

Clustering acinetobacter strains by optical mapping.

Optical mapping is a technique that produces an ordered restriction map of a bacterial or eukaryotic chromosome. We have developed a new method, the BOP method, to compare experimental optical maps with in silico optical maps of complete genomes to infer the presence/absence of short DNA sequences (bops) in each genome. The BOP method, as implemented by the Optical Mapping suite of four programs, circumvents the necessity of whole-genome multiple alignments and permits reliable strain typing and clustering on the basis of optical maps. We have applied the Optical Mapping Suite to 125 strains of Acinetobacter sp., including 11 completely sequenced genomes and 114 Acinetobacter complex from three US military hospitals. We found that optical mapping completely resolves all 125 strains. Signal to noise analysis showed that when the 125 strains were considered together almost 1/3 of the experimental fragments were misidentified. We found that the set of 125 genomes could be divided into three clusters, two of which included sequenced genomes. Signal to noise analysis after clustering showed that only 3.5% of the experimental restriction fragments were misidentified. Minimum spanning trees of the two clusters that included sequenced genomes are presented. The programs we have developed provide a more rigorous approach for analyzing optical map data than previously existed.

High-resolution human genome structure by single-molecule analysis.

Variation in genome structure is an important source of human genetic polymorphism: It affects a large proportion of the genome and has a variety of phenotypic consequences relevant to health and disease. In spite of this, human genome structure variation is incompletely characterized due to a lack of approaches for discovering a broad range of structural variants in a global, comprehensive fashion. We addressed this gap with Optical Mapping, a high-throughput, high-resolution single-molecule system for studying genome structure. We used Optical Mapping to create genome-wide restriction maps of a complete hydatidiform mole and three lymphoblast-derived cell lines, and we validated the approach by demonstrating a strong concordance with existing methods. We also describe thousands of new variants with sizes ranging from kb to Mb.