Abstract Complex chromosomal rearrangements, including translocations, play a critical role in oncogenesis and are often identified as recurrent genetic aberrations in hematologic malignancies and solid tumors[1]. Translocation detection by karyotyping of an individual’s metaphase chromosomes remains challenging for detection of balanced rearrangements, which have no gain or loss of genetic material. Rearrangement detection using whole-genome sequencing is a viable alternative, but it relies on breakpoint-spanning reads and requires high sequencing depth (30-60x) with long reads to achieve high sensitivity, especially in repetitive regions of the genome[2]. Here, we describe a workflow for translocation detection at low sequencing depth with Oxford Nanopore’s long read chromatin conformation capture technique, Pore-C[3]. Importantly, for translocation calling, Pore-C does not rely on breakpoint-spanning reads but rather the high intrachromosomal interaction frequency of genomic regions around the breakpoint, thus largely lowering sequencing depth requirements and reducing mapping issues in low complexity regions. We prepared, barcoded, and sequenced Pore-C libraries of 3 cancer cell lines including lung cancer (A549), Acute Monocytic Leukemia (THP-1), melanoma (COLO 829) and its matching normal (COLO 829 BL) on a single Q20+ MinION flow cell (FLO-MIN114). Genome-wide contact maps of low-pass data (<1.5 Gbps per sample) were compared against higher depth (>30 Gbps per sample) Hi-C maps [4], revealing that low-pass Pore-C successfully captured large-scale genomic rearrangement. For example, chromosomal pairs chr8-chr11 and chr15-chr19 in A549, chr9-chr11 and chr1-chr20 in THP1, and chr7-chr15 in Colo829 were detected at <0.5X depth of sequencing coverage. These translocation events were further validated by breakpoint analysis using adaptive sampling, where targeted regions were previously confirmed by independent studies[4],[5]. Low-pass Pore-C detects translocations in an unbiased manner and does not require prior knowledge of the translocation structure. Combined with its simple sample-preparation workflow and the capability to provide genome-wide copy-number information in a single experiment, it can serve as a cost-effective and comprehensive tool for cancer genomic studies. [1] Chromosomal translocations in human cancer, Nature, 372, 143 (1994) [2] Hi-C as a tool for precise detection and characterisation of chromosomal rearrangements and copy number variation in human tumors, Genome Biology, 18, 125 (2017) [3] Identifying synergistic high-order 3D chromatin conformations from genome-scale nanopore concatemer sequencing, Nature Biotechnology, 40, 1488(2022) [4] Chromosomal translocations detection in cancer cells using chromosomal conformation capture data, Genes (Basel), 13, 7 (2022) [5] A multi-platform reference for somatic structural variation detection, Cell Genomics, 2, 6 (2022) Citation Format: Scott Hickey, Xiaoguang Dai, Sergey Aganezov, John Beaulaurier, Eoghan Harrington, Sissel Juul. Translocation detection in cancer using low-pass pore-c sequencing [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 405.
Wilson disease is a medically actionable rare autosomal recessive disorder of defective copper excretion caused by mutations in ATP7B , one of two highly evolutionarily conserved copper-transporting ATPases. Hundreds of disease-causing variants in ATP7B have been reported to public databases; more than half of these are missense changes, and a significant proportion are presumed unequivocal loss-of-function variants (nonsense, frameshift, and canonical splice site). Current molecular genetic testing includes sequencing all coding exons (±10 bp) as well as deletion/duplication testing, with reported sensitivity of >98%. We report a proband from a consanguineous family with a biochemical phenotype consistent with early-onset Wilson disease who tested negative on conventional molecular genetic testing. Using a combination of whole-genome sequencing and transcriptome sequencing, we found that the proband's disease is due to skipping of exons 6–7 of the ATP7B gene associated with a novel intronic variant (NM_000053.4:c.1947-19T > A) that alters a putative splicing enhancer element. This variant was also homozygous in the proband's younger sister, whose subsequent clinical evaluations revealed biochemical evidence of Wilson disease. Our work adds to emerging evidence that ATP7B exon skipping from deep intronic variants outside typical splice junctions is an important mechanism of Wilson disease; the variants responsible may elude standard genetic testing.
There is increasing recognition for the contribution of genetic mosaicism to human disease, particularly as high-throughput sequencing has enabled detection of sequence variants at very low allele frequencies. Here, we describe an infant male who presented at 9 mo of age with hypotonia, dysmorphic features, congenital heart disease, hyperinsulinemic hypoglycemia, hypothyroidism, and bilateral sensorineural hearing loss. Whole-genome sequencing of the proband and the parents uncovered an apparent de novo mutation in the X-linked SMS gene. SMS encodes spermine synthase, which catalyzes the production of spermine from spermidine. Inactivation of the SMS gene disrupts the spermidine/spermine ratio, resulting in Snyder–Robinson syndrome. The variant in our patient is absent from the gnomAD and ExAC databases and causes a missense change (p.Arg130Cys) predicted to be damaging by most in silico tools. Although Sanger sequencing confirmed the de novo status in our proband, polymerase chain reaction (PCR) and deep targeted resequencing to ∼84,000×–175,000× depth revealed that the variant is present in blood from the unaffected mother at ∼3% variant allele frequency. Our findings thus provided a long-sought diagnosis for the family while highlighting the role of parental mosaicism in severe genetic disorders.
Abstract Borgs are huge extrachromosomal elements (ECE) of anaerobic methane-consuming “ Candidatus Methanoperedens” archaea. Here, we used nanopore sequencing to validate published complete genomes curated from short reads and to reconstruct new genomes. 13 complete and four near-complete linear genomes share 40 genes that define a largely syntenous genome backbone. We use these conserved genes to identify new Borgs from peatland soil and to delineate Borg phylogeny, revealing two major clades. Remarkably, Borg genes encoding OmcZ nanowire-like electron-exporting cytochromes and cell surface proteins are more highly expressed than those of host Methanoperedens , indicating that Borgs augment the Methanoperedens activity in situ . We reconstructed the first complete 4.00 Mbp genome for a Methanoperedens that is inferred to be a Borg host and predicted its methylation motifs, which differ from pervasive TC and CC methylation motifs of the Borgs. Thus, methylation may enable Methanoperedens to distinguish their genomes from those of Borgs. Very high Borg to Methanoperedens ratios and structural predictions suggest that Borgs may be capable of encapsulation. The findings clearly define Borgs as a distinct class of ECE with shared genomic signatures, establish their diversification from a common ancestor with genetic inheritance, and raise the possibility of periodic existence outside of host cells.
Abstract Some of the most spectacular adaptive radiations begin with founder populations on remote islands. How genetically limited founder populations give rise to the striking phenotypic and ecological diversity characteristic of adaptive radiations is a paradox of evolutionary biology. We conducted an evolutionary genomic analysis of genus Metrosideros , a landscape-dominant, incipient adaptive radiation of woody plants that spans a striking range of phenotypes and environments across the Hawaiian Islands. Using nanopore-sequencing, we created a chromosome-level genome assembly for M. polymorpha var. incana and analyzed wholegenome sequences of 131 individuals from 11 taxa sampled across the islands. We found evidence of population structure that grouped taxa by island. Demographic modeling showed concordance between the divergence times of island-specific lineages and the geological formation of individual islands. Gene flow was also detected within and between island taxa, suggesting a complex reticulated evolutionary history. We investigated genomic regions with increased differentiation as these regions may harbor variants involved in local adaptation or reproductive isolation, thus forming the genomic basis of adaptive radiation. We discovered differentiation outliers have arisen from balancing selection on ancient divergent haplotypes that formed before the initial colonization of the archipelago. These regions experienced recurrent divergent selection as lineages colonized and diversified on new islands, and hybridization likely facilitated the transfer of these ancient variants between taxa. Balancing selection on multiple ancient haplotypes–or time-tested variants–may help to explain how lineages with limited gene pools can rapidly diversify to fill myriad ecological niches on remote islands. Significance statement Some of the most spectacular adaptive radiations of plants and animals occur on remote oceanic islands, yet such radiations are preceded by founding events that severely limit genetic variation. How genetically depauperate founder populations give rise to the spectacular phenotypic and ecological diversity characteristic of island adaptive radiations is not known. We generated novel genomic resources for Hawaiian Metrosideros ––a hyper-variable incipient adaptive radiation of woody taxa—for insights into the paradox of remote island radiations. We found that Metrosideros colonized each island shortly after formation and diversified within islands through recurrent selection on ancient variations that predate the radiation. Recurring use of ancient variants may explain how genetically depauperate lineages can diversify to fill countless niches on remote islands.
