Nanoporous Research Articles

Characterizing tandem repeat complexities across long-read sequencing platforms with TREAT and otter.

Tandem repeats (TRs) play important roles in genomic variation and disease risk in humans. Long-read sequencing allows for the accurate characterization of TRs; however, the underlying bioinformatics perspectives remain challenging. We present otter and TREAT: otter is a fast targeted local assembler, cross-compatible across different sequencing platforms. It is integrated in TREAT, an end-to-end workflow for TR characterization, visualization, and analysis across multiple genomes. In a comparison with existing tools based on long-read sequencing data from both Oxford Nanopore Technology (ONT, Simplex and Duplex) and Pacific Bioscience (PacBio, Sequel II and Revio), otter and TREAT achieve state-of-the-art genotyping and motif characterization accuracy. Applied to clinically relevant TRs, TREAT/otter significantly identify individuals with pathogenic TR expansions. When applied to a case-control setting, we replicate previously reported associations of TRs with Alzheimer's disease, including those near or within APOC1 (P = 2.63 × 10-9), SPI1 (P = 6.5 × 10-3), and ABCA7 (P = 0.04) genes. Finally, we use TREAT/otter to systematically evaluate potential biases when genotyping TRs using diverse ONT and PacBio long-read sequencing data sets. We show that, in rare cases (0.06%), long-read sequencing from coverage drops in TRs, including the disease-associated TRs in ABCA7 and RFC1 genes. Such coverage drops can lead to TR misgenotyping, hampering the accurate characterization of TR alleles. Taken together, our tools can accurately genotype TRs across different sequencing technologies and with minimal requirements, allowing end-to-end analysis and comparisons of TRs in human genomes, with broad applications in research and clinical fields.

NANOPORE-BASED INTRA-OPERATIVE CLASSIfiCATION OF CENTRAL NERVOUS SYSTEM TUMOURS IN THE NHS

Abstract AIMS The 2021 WHO classification of CNS tumours necessitates the use of molecular testing in order to reach a confident diagnosis of many tumour types. At present, this is achieved using array-based technology delivered by a centralised model. This approach has inherent delays that mean it is often several weeks before the treating clinical team is informed of diagnosis, delaying the start of adjuvant therapy and causing significant distress for patients. As such, there is an urgent need to rethink this pathway and improve time to diagnosis. Nanopore longread sequencing technology has the potential to enable a paradigm shift in diagnostic and therapeutic pathways, offering rapid, comprehensive molecular diagnosis that can be performed in the intra-operative setting. We aimed to test the hypothesis that intra-operative methylation-based classification can be performed using nanopore sequencing and thereby expediently inform surgical and oncological decision-making. METHOD Oxford Nanopore Technology (ONT) is a native-strand, long-read sequencing platform that can perform copy- number profiling along with parallel single-gene methylation, structural variant, mutational and methylation analyses. Capital and consumable costs are relatively low, and testing can be performed in the local setting on single samples. We have optimised DNA extraction and library preparation for rapid tissue processing. We have developed a robust bioinformatic pipeline which is able to produce intraoperative classification within minutes of sequencing and full molecular profiling after 24 hours. RESULTS We demonstrate the feasibility of using ONT to deliver intra-operative methylation-based classification of CNS tumours in ‘realtime’ within an NHS hospital setting and will discuss the challenges of implementing this testing and the opportunities to inform neuro-oncological practice. CONCLUSION By giving a summary of our novel protocol of rapid DNA extraction, library preparation and bioinformatic analysis, we will show that this approach can revolutionise the diagnosis of brain tumours and has the potential for rapid adoption by non-expert laboratories.

Toward Quantum Noses: Quantum Chemosensing Based on Molecular Qubits in Metal-Organic Frameworks.

ConspectusQuantum sensing leverages quantum properties to enhance the sensitivity and resolution of sensors beyond their classical sensing limits. Quantum sensors, such as diamond defect centers, have been developed to detect various physical properties, including magnetic fields and temperature. However, the spins of defects are buried within dense solids, making it difficult for them to strongly interact with molecular analytes. Therefore, nanoporous materials have been implemented in combination with electron spin center of molecules (molecular qubits) to produce quantum chemosensors that can distinguish various chemical substances. Molecular qubits have a uniform structure, and their properties can be precisely controlled by changing their chemical structure. Metal-organic frameworks (MOFs) are suitable for supporting molecular qubits because of their high porosity, structural regularity, and designability. Molecular qubits can be inserted in the MOF structures or adsorbed as guest molecules. The qubits in the MOF can interact with analytes upon exposure, providing an effective and tunable sensing platform.In this Account, we review the recent progress in qubit-MOF hybrids toward the realization of room-temperature quantum chemosensing. Molecular qubits can be introduced in controlled concentrations at targeted positions by exploiting metal ions, ligands, or guests that compose the MOF. Heavy metal-free organic chromophores have several outstanding features as molecular qubits; namely, they can be initialized by light irradiation and exhibit relatively long coherence times of submicroseconds to microseconds, even at room temperature. One detection method involves monitoring the hyperfine interaction between the electron spins of the molecular qubits and the nuclear spins of the analyte incorporated in the pore. There is also an indirect detection method that relies on the motional change in molecular qubits. If the motion of the molecular qubit changes with the adsorption of the analyte, it can be detected as a change in the spin relaxation process. This mechanism is unique to qubits exposed in nanopores, not observed in conventional qubits embedded in dense solids.By maximizing the guest recognition ability of MOFs and the environmental sensitivity of qubits, quantum chemosensing that recognizes specific chemical species in a highly selective and sensitive manner may be possible. It is difficult to distinguish between diverse chemical species by employing only one combination of MOF and qubit, but by creating arrays of different qubit-MOF hybrids, it would become possible to distinguish between various analytes based on pattern recognition. Inspired by the human olfactory mechanism, we propose the use of multiple qubit-MOF hybrids and pattern recognition to identify specific molecules. This system represents a quantum version of olfaction, and thus we propose the concept of a "quantum nose." Quantum noses may be used to recognize biometabolites and biomarkers and enable new medical diagnostic technologies and olfactory digitization.

Comprehensive Analysis of Complex Copy Number Variations in the Plasmodium falciparum Genome via Long-Read Sequencing: Implications for Antimalarial Resistance and Broad Genomic Insights

Abstract Introduction/Objective The genome of Plasmodium falciparum, characterized by a high AT content and a propensity for copy number variations (CNVs), presents a model for understanding how genomes adapt to stress. Our research focused on the prevalence and distribution of CNVs highlights long-read sequencing as a tool for detecting complex structural variants in other models. Methods/Case Report P. falciparum parasites were cultured and treated with DSM1 and aphidicolin that induce replication stress. Long-read sequencing was conducted using the Oxford Nanopore Technology Minion, with an emphasis on an optimizing DNA extraction method for preserving intact chromosomes. Visualization of CNVs, including tandem and inverted duplications, was achieved through a custom R Shiny application that allowed both quantitative and qualitative assessments. Results (if a Case Study enter NA) Long read sequencing identified an enrichment of multiple CNV types in treated samples, with a significant enrichment of inverted duplications as well as other types of structural variants. Aphidicolin and DSM1-treated samples demonstrated significant accumulation of these variations compared to controls (2.0 and 5.6-fold, respectively with a p value of < 0.0001 in both treatment groups). These occurred mainly in core genomic regions that do not contain variable gene copies. An increase in the number of inverted duplications may be related to stress response to the treatment and may be a potential adaptive mechanism of the parasite. Our manual single-read visualization technique made it possible to visualize the structure of various CNV types, which provides unique insight on CNVs as they arise in single genomes. Conclusion We hypothesize that inverted duplications represent stalled replication forks, and we are currently assessing their frequency in replicating and non-replicating cells. This study highlights the role of long-read sequencing in detecting complex genomic structures in P. falciparum, which may influence the parasite’s resistance to drug treatment. These findings not only advance our understanding of malaria pathology but also aid our comprehension of how cancer cells might react to drug-induced stress and the mechanisms behind CNV formation in neoplastic cells.

ONT sequencing identifies a high prevalence of crt sensitive, triple mutant dhfr and single mutant dhps parasites within an ANC population in Nigeria.

Malaria in pregnancy is a major public health issue, particularly among vulnerable populations in malaria-endemic sub-Saharan African countries. To mitigate its risks, WHO recommends sulphadoxine-pyrimethamine (SP) for chemoprevention and artemisinin-based combination therapy (ACT) to treat uncomplicated Plasmodium falciparum malaria. These interventions have helped to alleviate the risk associated with malaria in pregnancy; however, in the context of the emergence of SP- and ACT-resistant P. falciparum, maintained efficacy is under threat. Molecular surveillance is a reliable tool to monitor the emergence of resistance where molecular markers are known. Thus, the objective of the study was to use a multiplexed amplicon Oxford Nanopore sequencing approach to assess the molecular markers for antimalarial resistance among pregnant women in Nigeria. Dried blood spots (DBS) were collected from pregnant women who received IPTp-SP at the enrollment and follow-up visits. P. falciparum genomic DNA was extracted by the Chelex® method and Pf18S qPCR was used to detect parasite DNA in each sample. With nested PCR assays, fragments of Pfdhps, Pfdhfr, Pfmdr1, Pfcrt, Pfk13 and Pfama1 genes were amplified and multiplexed amplicon-based sequencing was conducted on the minION Oxford Nanopore Technology. In total, 251 pregnant women were enrolled in the study and 457 DBS samples were collected. P. falciparum genomic DNA was detected in 12% (56/457) of the samples, 31 at baseline and the remaining during the follow-up visits. Pfama1, pfk13, Pfdhps, Pfdhfr, Pfmdr1 and Pfcrt were successfully sequenced in a single run. Notably, k13 artemisinin resistance mutations were absent, the frequencies of Pfdhfr and Pfdhps SP resistance haplotypes, IRN for pyrimethamine resistance and ISGKA/IAGKA associated with sulphadoxine resistance were 82% (36/44) and 64% (27/42), respectively, and the Pfcrt CVIET resistant haplotype was at approximately 22% (7/32). Here a multiplexed amplicon-based ONT assay established that triple mutant Pfdfhr-IRN, double mutant Pfdhps-SG haplotypes and the chloroquine sensitive strain were prevalent among pregnant women in Nigeria.

Complete genome sequence of Glycocaulis abyssi type strain LMG 27140, a prosthecate bacterium isolated from an abyssal hydrothermal vent.

Glycocaulis abyssi is a dimorphic, prosthecate member of the family Maricaulaceae, order Caulobacterales, in the class Alphaproteobacteria, originally isolated from an abyssal hydrothermal vent. Here, we report the complete genome sequence of type strain LMG 27140T (MCS33T) obtained using Oxford Nanopore technology.

Complete genome sequence of marine prosthecate bacterium Fretibacter rubidus type strain JCM 15585.

Fretibacter rubidus is a dimorphic, prosthecate member of the family Maricaulaceae, order Caulobacterales, in the class Alphaproteobacteria. Here, we report the genome of type strain JCM 15585T (JC2236T), sequenced with Oxford Nanopore Technology.

Long-read sequencing of an advanced cancer cohort resolves rearrangements, unravels haplotypes, and reveals methylation landscapes

The Long-Read Personalized OncoGenomics (POG) dataset comprises a cohort of 189 patient tumors and 41 matched normal samples sequenced using the Oxford Nanopore Technologies PromethION platform. This dataset from the POG program and the Marathon of Hope Cancer Centres Network includes DNA and RNA short-read sequence data, analytics, and clinical information. We show the potential of long-read sequencing for resolving complex cancer-related structural variants, viral integrations, and extrachromosomal circular DNA. Long-range phasing facilitates the discovery of allelically differentially methylated regions (aDMRs) and allele-specific expression, including recurrent aDMRs in the cancer genes RET and CDKN2A. Germline promoter methylation in MLH1 can be directly observed in Lynch syndrome. Promoter methylation in BRCA1 and RAD51C is a likely driver behind homologous recombination deficiency where no coding driver mutation was found. This dataset demonstrates applications for long-read sequencing in precision medicine and is available as a resource for developing analytical approaches using this technology.

Complete genome sequence of Microbacterium strain A8/3-1 isolated from the root nodule of Oxytropis tragacanthoides, growing in the Altai region.

In this article, we report the complete genome sequence of Microbacteriun strain A8/3-1 isolated from the root nodule of Oxytropis tragacanthoides Fisch. ex DC., growing in the Altai region, Russia. The sequence was obtained using Oxford Nanopore Technologies MinION.

Exploring nanopore direct sequencing performance of forensic STRs, SNPs, InDels, and DNA methylation markers in a single assay

IntroductionThe field of forensic DNA analysis has undergone rapid advancements in recent decades. The integration of massively parallel sequencing (MPS) has notably expanded the forensic toolkit, moving beyond identity matching to predicting phenotypic traits and biogeographical ancestry. This shift is of particular significance in cases where conventional DNA profiling fails to identify a single suspect. Supplementing forensic analyses with estimated biological age may be valuable but involves a complex and time-consuming DNA methylation analysis. This study explores and validates the performance of a comprehensive forensic third-generation sequencing assay utilizing Oxford Nanopore Technologies (ONT) in an adaptive and direct sequencing approach. We incorporated the most widely used forensic markers, i.e., STRs, SNPs, InDels, mitochondrial DNA (mtDNA), and two methylation-based clock classifiers, thereby combining forensic genetic and epigenetic analysis in one single workflow. Methods and resultsIn our investigation, DNA from six anonymous individuals was sequenced using the ONT standard adaptive direct sequencing approach, reaching a mean percentage of on-target reads ranging from 6.6 % to 7.7 % per sample. ONT data was compared to standard MPS data and Illumina EPIC DNA methylation profiles. Basecalling employed recommended ONT software packages. TREAT was used for ONT-based analysis of autosomal and Y-chromosome STRs, achieving 90–92 % correct calls depending on allelic read depth thresholds. InDel analyses for two lower-quality samples proved challenging due to inadequate read depth, while the remaining four samples significantly contributed to the observed percentage markers (60.9 %) and correct calls (97.8 %). SNP analysis achieved a 98 % call rate, with only two mismatches and two missed alleles. ONT-generated DNA methylation data demonstrated Pearson’s correlation coefficients with EPIC data ranging from 0.67 to 0.97 for Horvath’s clock. Additional age-associated markers exhibited Pearson’s correlation coefficients with chronological age between 0.14 (ELOVL2) and 0.96 (FHL2) at read depths of <30 and <20, respectively. Despite excluding mtDNA from our targeted sequencing approach, adaptive proof-reading fragments covered the complete mtDNA with an average read depth of 21–72, showing 100 % concordance with reference data. DiscussionOur exploratory study using ONT adaptive sequencing for conventional forensic and age associated DNA methylation markers showed high sequencing accuracy for a significant number of markers, showcasing ONT as a promising (epi)genetic forensic method. Future studies must address three critical aspects: determining clear quantity and quality measures and detection thresholds for accuracy, optimizing input DNA quantity for forensic casework expectations, and addressing ethical considerations associated with phenotype and ancestry analysis to prevent ethnic biases.

A novel feathery nanoporous magnesium synthesized by ethanol vapor assisted physical vapor deposition

Nanoporous magnesium exhibits outstanding performance in hydrogen absorption and desorption, rendering it a promising candidate for hydrogen storage applications. Nevertheless, there is limited discussion on the preparation method and growth mechanism of nano-porous magnesium. In this paper, a novel nanoporous magnesium material characterized by a feathery morphology was successfully synthesized at 823 K for 2 h under a vacuum pressure of 3 Pa, assisted by ethanol vapor through the physical vapor deposition method. The ethanol vapor was identified as the crucial factor in the synthesis of the feathery nanoporous magnesium. A vacancy-assisted formation mechanism is proposed to elucidate the creation of feathery nanoporous magnesium, whereby the ethanol vapor occupies specific positions within the magnesium vapor, resulting in the formation of nano and submicron pores.

Benchmarking reveals superiority of deep learning variant callers on bacterial nanopore sequence data.

Variant calling is fundamental in bacterial genomics, underpinning the identification of disease transmission clusters, the construction of phylogenetic trees, and antimicrobial resistance detection. This study presents a comprehensive benchmarking of variant calling accuracy in bacterial genomes using Oxford Nanopore Technologies (ONT) sequencing data. We evaluated three ONT basecalling models and both simplex (single-strand) and duplex (dual-strand) read types across 14 diverse bacterial species. Our findings reveal that deep learning-based variant callers, particularly Clair3 and DeepVariant, significantly outperform traditional methods and even exceed the accuracy of Illumina sequencing, especially when applied to ONT's super-high accuracy model. ONT's superior performance is attributed to its ability to overcome Illumina's errors, which often arise from difficulties in aligning reads in repetitive and variant-dense genomic regions. Moreover, the use of high-performing variant callers with ONT's super-high accuracy data mitigates ONT's traditional errors in homopolymers. We also investigated the impact of read depth on variant calling, demonstrating that 10× depth of ONT super-accuracy data can achieve precision and recall comparable to, or better than, full-depth Illumina sequencing. These results underscore the potential of ONT sequencing, combined with advanced variant calling algorithms, to replace traditional short-read sequencing methods in bacterial genomics, particularly in resource-limited settings.

Complete genome sequence of Deinococcus sonorensis type strain KR-87: a rare biofilm-producing representative of the genus Deinococcus.

Here, we present a complete genome of Deinococcus sonorensis KR-87T, a biofilm-producing mesophile from the Arizonan Sonoran Desert. The sequence, assembled using Oxford Nanopore Technologies' long-read sequencing platform, predicts a genome size of 4.78 Mbp, with 6 replicons, 4,361 protein-coding genes, and a G+C content of 69.0%.

Barcode 100K Specimens: In a Single Nanopore Run.

It is a global priority to better manage the biosphere, but action must be informed by comprehensive data on the abundance and distribution of species. The acquisition of such information is currently constrained by high costs. DNA barcoding can speed the registration of unknown animal species, the most diverse kingdom of eukaryotes, as the BIN system automates their recognition. However, inexpensive sequencing protocols are critical as the census of all animal species is likely to require the analysis of a billion or more specimens. Barcoding involves DNA extraction followed by PCR and sequencing with the last step dominating costs until 2017. By enabling the sequencing of highly multiplexed samples, the Sequel platforms from Pacific BioSciences slashed costs by 90%, but these instruments are only deployed in core facilities because of their expense. Sequencers from Oxford Nanopore Technologies provide an escape from high capital and service costs, but their low sequence fidelity has, until recently, constrained adoption. However, the improved performance of its latest flow cells (R10.4.1) erases this barrier. This study demonstrates that a MinION flow cell can characterise an amplicon pool derived from 100,000 specimens while a Flongle flow cell can process one derived from several thousand. At $0.01 per specimen, DNA sequencing is now the least expensive step in the barcode workflow.

The interplay of mutagenesis and ecDNA shapes urothelial cancer evolution

Advanced urothelial cancer is a frequently lethal disease characterized by marked genetic heterogeneity1. In this study, we investigated the evolution of genomic signatures caused by endogenous and external mutagenic processes and their interplay with complex structural variants (SVs). We superimposed mutational signatures and phylogenetic analyses of matched serial tumours from patients with urothelial cancer to define the evolutionary dynamics of these processes. We show that APOBEC3-induced mutations are clonal and early, whereas chemotherapy induces mutational bursts of hundreds of late subclonal mutations. Using a genome graph computational tool2, we observed frequent high copy-number circular amplicons characteristic of extrachromosomal DNA (ecDNA)-forming SVs. We characterized the distinct temporal patterns of APOBEC3-induced and chemotherapy-induced mutations within ecDNA-forming SVs, gaining new insights into the timing of these mutagenic processes relative to ecDNA biogenesis. We discovered that most CCND1 amplifications in urothelial cancer arise within circular ecDNA-forming SVs. ecDNA-forming SVs persisted and increased in complexity, incorporating additional DNA segments and contributing to the evolution of treatment resistance. Oxford Nanopore Technologies long-read whole-genome sequencing followed by de novo assembly mapped out CCND1 ecDNA structure. Experimental modelling of CCND1 ecDNA confirmed its role as a driver of treatment resistance. Our findings define fundamental mechanisms that drive urothelial cancer evolution and have important therapeutic implications.

Nanoscale Understanding on CO2 Diffusion and Adsorption in Clay Matrix Nanopores: Implications for Carbon Geosequestration.

Carbon capture and storage (CCS) in subsurface reservoirs represents a highly promising and viable strategy for mitigating global carbon emissions. In the context of CCS implementation, it is particularly crucial to understand the complex molecular diffusive and adsorptive behaviors of anthropogenic carbon dioxide (CO2) in the subsurface at the nanoscale. Yet, conventional molecular models typically represent only single-slit pores and overlook the complexity of interconnected nanopores. In this work, finite kaolinite lamellar assemblages with abundant nanopores (r < 2 nm) were used. Molecular dynamics simulations were performed to quantify the spatial distribution correlations, adsorption preference, diffusivity, and residence time of the CO2 molecules in kaolinite nanopores. The movement of the CO2 molecules primarily occurs in the central and proximity regions of the siloxane surfaces, progressing from larger to smaller nanopores. CO2 prefers smaller nanopores over larger ones. The diffusion coefficients increase, while residence times decrease, with the pore size increasing, differing from typical slit-pore models due to the pore shape and interconnectivity. The perspectives in this study, which would be challenging in conventional slit-pore models, will facilitate our comprehension of the CO2 molecular behaviors in the complex subsurface clay sediments for developing quantitative estimation techniques throughout the CCS project durations.

Microbiome flexibility enhances the resilience of the potentially invasive coral Tubastraea aurea to abrupt environmental changes: Insights from a shallow water hydrothermal vent transplantation study

To comprehend the effects of potentially invasive coral Tubastraea aurea on marine ecosystems, it is crucial to understand their adaptive strategies to survive environmental changes and perturbations. Therefore, a cross-transplantation study was conducted to assess the microbiome's role in the resilience of T. aurea to sudden environmental changes.Hydrographic analyses revealed distinct ecological conditions at two sites: a hydrothermal vent (HV) site, characterized by harsh environmental conditions serving as a natural laboratory for future oceanic changes, and a regular coastal site Fulong (FU). Both sites showed significant differences in pH, temperature, and dissolved oxygen. Using Oxford Nanopore Technologies, we examined bacterial dynamics in coral tissue, mucus and ambient sediment samples following cross-transplantation experiments. We observed a rapid shift in dominant bacterial groups post-transplantation with transplanted corals acquiring microbiomes similar to native corals from their respective sites within 16 days. The bacteria Endozoicomonas euniceicola and Ruegeria profundi were dominant in both native and transplanted corals, suggesting their critical role in coral resilience. Furthermore, the enrichment of certain bacterial taxa post-transplantation suggests that opportunistic species also contribute to host acclimatization. Functional profiling data indicated that there was site-specific adaptation because corals had acquired beneficial bacterial assemblages to assist them cope with environmental stressors. More specifically, there was a switch towards sulfur and nitrogen metabolism in corals that moved to high sulfidic environments, while corals transplanted into normal coastal environments showed enriched photoautotrophic processes due to their symbionts. Our study underscored the highly flexible microbiome of T. aurea and its pivotal role in facilitating host resilience to environmental perturbations, particularly in the context of its potential invasiveness. Hence, these findings contribute to the understanding of coral-microbiome dynamics and emphasize the necessity of considering microbially-mediated resilience in managing potentially invasive coral species in marine ecosystems around the world, especially as ocean conditions continue to change.

Molecular Simulation of Cyclohexane in Nanoporous Materials: Adsorption of Conformers and Coadsorption with Water and Carbon Dioxide.

Molecular simulation is used to investigate the adsorption of an organic molecule and its different conformers into various nanoporous adsorbents. In more detail, we perform grand canonical Monte Carlo simulations to determine the adsorption isotherms for cyclohexane with its three conformers (chair, boat, and twisted boat) at three different temperatures into a molecular model of active carbons and two metal-organic frameworks (MOFs) (Cu-BTC and Al-Fum). By considering the adsorption of each conformer separately, we show that the adsorption isotherms are weakly dependent on the molecular conformation. When considering the concomitant adsorption of the three conformers under realistic conditions (to verify the population of each conformer in bulk mixtures), we show that the chair conformer is predominantly adsorbed in each material. However, such favorable adsorption mostly reflects the fact that this conformer has the largest population in the bulk mixture under the same thermodynamic conditions. On the contrary, with an increase in the cyclohexane gas pressure, the adsorption of boat and twisted boat conformers increases, while that of the chair conformer decreases as packing (entropy) effects become predominant during confinement. The adsorption of cyclohexane in the active carbon and MOF materials is also considered in the presence of water and CO2 atmospheres. In the case of the Al-fumarate material, the material is found to be strongly organophilic so that water and CO2 adsorption are negligible, and cyclohexane adsorption is not affected by competitive adsorption under any considered thermodynamic condition. On the contrary, for the active carbon and Cu-BTC material, competitive adsorption between cyclohexane and water or CO2 is observed even if cyclohexane adsorption remains preferred. While the different molecules coexist in the adsorbed phase at low pressures, increasing the cyclohexane pressure beyond 103 Pa promotes cyclohexane adsorption concomitantly with water and/or CO2 desorption.

Haplotype-resolved and near-T2T genome assembly of the African catfish (Clarias gariepinus)

Airbreathing catfish are stenohaline freshwater fish capable of withstanding various environmental conditions and farming practices, including breathing atmospheric oxygen. This unique ability has enabled them to thrive in semi-terrestrial habitats. However, the genomic mechanisms underlying their adaptation to adverse ecological environments remain largely unexplored, primarily due to the limited availability of high-quality genomic resources. Here, we present a haplotype-resolved and near telomere-to-telomere (T2T) genome assembly of the African catfish (Clarias gariepinus), utilizing Oxford Nanopore, PacBio HiFi, Illumina and Hi-C sequencing technologies. The primary assembly spans 969.62 Mb with only 47 contigs, achieving a contig N50 of 33.71 Mb. Terminal telomeric signals were detected in 22 of 47 contigs, suggesting T2T assembled chromosomes. BUSCO analysis confirmed gene space completeness of 99% against the Actinopterygii dataset, highlighting the high quality of the assembly. Genome annotation identified 25,655 protein-coding genes and estimated 43.94% genome-wide repetitive elements. This data provides valuable genomic resources to advance aquaculture practices and to explore the genomic underpinnings of the ecological resilience of airbreathing catfish and related teleosts.

Snow alga Sanguina aurantia as revealed through de novo genome assembly and annotation.

To thrive on melting alpine and polar snow, some Chlorophytes produce an abundance of astaxanthin, causing red blooms, often dominated by genus Sanguina. The red cells have not been cultured, but we recently grew a green biciliate conspecific with Sanguina aurantia from a sample of watermelon snow. This culture provided source material for Oxford Nanopore Technology and Illumina sequencing. Our assembly pipeline exemplifies the value of a hybrid long- and short-read approach for the complexities of working with a culture grown from a field sample. Using bioinformatic tools, we separated assembled contigs into 2 genomic pools based on a difference in GC content (57.5 and 55.1%). We present the data as 2 assemblies of S. aurantia variants but explore other possibilities. High-throughput chromatin conformation capture analysis (Hi-C sequencing) was used to scaffold the assemblies into a 96-Mb genome designated as "A" and a 102-Mb genome designated as "B." Both assemblies are highly contiguous: genome A consists of 38 scaffolds with an N50 of 5.4 Mb, while genome B has 50 scaffolds with an N50 of 6.4 Mb. RNA sequencing was used to improve gene annotation.