DNA Sequence Research Articles

Population structure of Desmophyllum pertusum found along the United States eastern continental margin

ObjectiveThe connectivity and genetic structuring of populations throughout a region influence a species’ resilience and probability of recovery from anthropogenic impacts. By gaining a comprehensive understanding of population connectivity, more effective management can be prioritized. To assess the connectivity and population genetic structure of a common cold-water coral species, Desmophyllum pertusum (Lophelia pertusa), we performed Restriction-site Associated DNA Sequencing (RADseq) on individuals from nine sites ranging from submarine canyons off New England to the southeastern coast of the United States (SEUS) and the Gulf of Mexico (GOM). Fifty-seven individuals and 3,180 single-nucleotide polymorphisms (SNPs) were used to assess genetic differentiation.ResultsHigh connectivity exists among populations along the SEUS, yet these populations were differentiated from those to the north off New England and in Norfolk Canyon along the North Atlantic coast of the United States, as well as those in the GOM. Interestingly, Norfolk Canyon, located just north of North Carolina, and GOM populations exhibited low levels of genetic differentiation, corroborating previous microsatellite analyses and signifying gene flow between these populations. Increasing sample sizes from existing populations and including additional sampling sites over a larger geographic range would help define potential source populations and reveal fine-scale connectivity patterns among D. pertusum populations.

Effect of single parenteral administration of marbofloxacin on bacterial load and selection of resistant Enterobacteriaceae in the fecal microbiota of healthy pigs

BackgroundAntimicrobial resistance (AMR) is a global concern impacting both humans, animals and their environment. The use of oral antimicrobials in livestock, particularly in pigs, has been identified as a driver in the selection of AMR bacteria. The aim of the present study was to evaluate the effects of a single intramuscular (IM) dose of marbofloxacin (8 mg/kg) on Enterobacteriaceae and E. coli populations, as well as on fluoroquinolone resistance within the fecal microbiota of pigs. Twenty healthy pigs, 60-days old, were divided into two groups: a treated group (n = 13) and a control group (n = 7) and were monitored over a 28-day experimental period. Fecal samples were collected from all animals for the isolation of E. coli and Salmonella strains. The minimum inhibitory concentration (MIC) of marbofloxacin for the isolates recovered on MacConkey agar supplemented with 1 or 4 µg/mL of marbofloxacin and for some generic E. coli isolates (recovered from MacConkey agar not supplemented with marbofloxacin) was determined using the broth microdilution method. Genomic DNA was extracted from the confirmed bacterial strains and sequenced using the Sanger method to identify mutations in the quinolone resistance determining regions (QRDRs) of the gyrA and parC genes.ResultsThe single IM administration of marbofloxacin resulted in a significant decrease in Enterobacteriaceae and E. coli fecal populations from days 1 to 3 post- treatment. No Salmonella isolates were detected in either group, and no marbofloxacin-resistant E. coli isolates were identified. The MIC of the selected generic E. coli strains (n = 100) showed an increase to up to 0.5 µg/mL between days 1 and 3 post-treatment but remained below the clinical breakpoint of marbofloxacin resistance (4 µg/mL). Sequencing of these isolates revealed no mutations in gyrA and parC genes.ConclusionsThe present study showed that this dosing regimen of marbofloxacin significantly decreases the fecal shedding of Enterobacteriaceae and E. coli populations in pigs, while limiting the selection of marbofloxacin-resistant E. coli isolates. These findings warrant validation in sick pigs to support the selective use of this antibiotic solely in cases of clinical disease, thereby minimizing the reliance on conventional (metaphylactic) group treatments in pigs.

Vishniacozyma floricola sp. nov., a flower-related tremellomycetous yeast species from Europe.

During the course of two independent studies conducted in Hungary and Spain, four conspecific yeast strains were isolated from flowers of different plant species. DNA sequences of two barcoding regions, the D1/D2 domain of the LSU rRNA gene and the internal transcribed spacer (ITS) region (ITS1-5.8S rRNA gene-ITS2), revealed that the four strains represent an undescribed Vishniacozyma (family Bulleribasidiaceae, Basidiomycota) species. In terms of pairwise sequence similarities and according to our phylogenetic analyses of the concatenated DNA sequences of the ITS region and the D1/D2 domain of the LSU rRNA gene, the undescribed species is most closely related to Vishniacozyma melezitolytica, a yeast species of phylloplane origin. The novel species differs from the type strain of V. melezitolytica by 8 substitutions and 3 insertion/deletion (indels) and 11 substitutions and 5 indels along the D1/D2 domain of the LSU rRNA gene and the ITS region, respectively. In addition to the DNA sequence divergences, the two species differ in some physiological characters as well. We propose the species Vishniacozyma floricola sp. nov. to accommodate the above-noted strains (holotype, NCAIM Y.02320; isotype, CBS 18939; MycoBank number, 856028).

DNA barcode identification of a tropical liver fluke (Fasciola gigantica) in cattle from Oyo, southwestern Nigeria

BackgroundFascioliasis is a major parasite illness that affects ruminants, both domesticated and free, and has an impact on public health and animals’ productivity. The genetic diversity of Fasciola species in cattle from Oyo, Oyo State, Nigeria is yet not well understood. In this study, the genetic diversity of Fasciola gigantica in slaughtered cattle in Oyo was examined using a molecular-based approach targeting the mitochondrial cytochrome C oxidase subunit I (COI) gene region.ResultsOne hundred flukes were gathered from slaughtered cattle, and their COI gene sequences were analyzed using maximum likelihood methods. The results of phylogenetic analysis showed genetic similarities between Nigerian F. gigantica and isolates from Algeria, Egypt, Iran, Sudan, China, Japan and Nigeria. The predominant DNA substitution was the A to T transversion, while the least common substitution was the G to A transition.ConclusionOur results show how useful the COI gene region is for examining intraspecific differences between F. gigantica isolates. The genetic similarity observed among the sampled F. gigantica populations suggests the value of mitochondrial DNA sequences as a marker for the accurate identification and characterization of Fasciola species across different ruminants.

DNMT3A CHIP-driver mutations ignite the bone marrow

Abstract Background Clonal hematopoiesis of indeterminate potential (CHIP) is an acquired, genetic cardiovascular (CV) risk factor affecting about 10% of the general population at the age of 70 years. Most CHIP-driver mutations affect the epigenetic regulator gene DNMT3A. Experimental studies suggest a causal link between CHIP and inflammation-driven atherosclerosis, but the underlying mechanisms of how few mutant clones provoke adverse clinical outcomes in patients remain obscure. Methods Single monocytes and bone marrow cells from DNMT3A-mutation carriers undergoing coronary angiography and open-heart surgery underwent RNA and genomic DNA sequencing in parallel on a single cell level. This approach enabled us to compare mutant and non-mutant cells directly within carriers, and to non-carrier cells. Atherosclerotic chimeric mice reconstituted with a mixture of Dnmt3a-deficient (CD45.2) and -competent (CD45.1) bone marrow served as an experimental model to compare mutant to non-mutant macrophages in atherosclerotic lesions. Results Surprisingly, RNA/gDNA parallel sequencing revealed that gene expression profiles of mutant monocytes resembled those of non-mutant monocytes in carriers of DNMT3A-CHIP mutations (n=4). Collectively, however, monocytes of DNMT3A mutation carriers were more inflammatory than those of matched non-carrier patients. Mutant hematopoietic stem and progenitor cells, analyzed by RNA/gDNA parallel sequencing in two carriers, expressed more activation and inflammatory markers compared to non-mutant cells within the same bone marrow, and intraindividual differences declined as cells differentiated into monocytes. Macrophages were isolated from atherosclerotic aortas of mixed bone marrow chimeric mice based on CD45.1 (non-mutant) or CD45.2 (mutant or non-mutant controls) expression and subjected to single cell RNA sequencing. Inflammation markers were higher expressed in non-mutant macrophages within carrier mice than in non-mutant macrophages of non-carrier chimeras, and showed relatively small differences compared to Dnmt3a-deficient macrophages. Conclusions Our experimental findings in humans and mice support a pathomechanistic model in which few DNMT3A-CHIP mutation-carrying hematopoietic stem cells stimulate non-mutant cells within the bone marrow, thereby augmenting inflammation downstream in all circulating monocytes and their progeny in atherosclerotic lesions.

An epigenetic editor targeting human PCSK9 efficiently and durably lowers Low Density Lipoprotein Cholesterol (LDL-C) in non-human primates

Abstract Background Reducing the risk of atherosclerotic cardiovascular disease is dependent on both the magnitude and cumulative duration of LDL-C lowering. However, in clinical practice achieving treatment goals is often hampered by low adherence to standard of care. Although PCSK9 inhibitors represent an effective option for LDL-C lowering, they require chronic life-long treatment. Epigenetic editing is a new therapeutic approach designed to durably silence genes by leveraging nature’s endogenous cellular mechanism for gene regulation via CpG methylation without the inherent genotoxic risks of genome editing approaches that nick or cut the DNA. We are developing a PCSK9 epigenetic editor (PCSK9-EE) to durably silence PCSK9, with the promise of lifelong reduction in LDL-C. Methods Here, we describe the development of an epigenetic editor targeting human PCSK9. This epigenetic editor consists of a DNA targeting component fused to a transcriptional repressor domain and a DNA methyltransferase domain. PCSK9-EE was first screened and evaluated for specificity and efficacy in primary human hepatocytes (PHH). In vivo efficacy and durability were then evaluated in a transgenic mouse carrying the human PCSK9 genomic locus (hPCSK9-Tg mouse) and non-human primates (NHP). Results Our initial screen of PCSK9-EEs identified several hits that efficiently suppressed secreted PCSK9 levels in immortalized liver cells. We confirmed that our top PCSK9-EE candidates robustly decreased PCSK9 secretion in PHH and were found to be highly specific at targeting PCSK9 as assessed by RNA-seq, methylation array, and whole-genome methylation sequencing. To examine in vivo activity, we treated hPCSK9-Tg mice with a single administration of a lipid nanoparticle delivering mRNA encoding our PCSK9-EE and observed >97% reduction in liver PCSK9 mRNA, and >98% reduction in plasma PCSK9 for the duration of the study (one year). We then delivered PCSK9-EE in NHP and observed a robust reduction in plasma PCSK9 with a concomitant reduction in LDL-C. These effects were found to be durable for at least 6 months following a single administration of PCSK9-EE in NHP. To establish a mechanistic relationship between PCSK9-EE’s molecular action and durable PCSK9 silencing, we performed serial liver biopsies in each NHP approximately 2 months apart. Robust CpG methylation at the PCSK9 genomic locus was observed in the first liver biopsy and was comparable to that observed in the second liver biopsy suggesting that PCSK9-EE induced stable CpG methylation in NHP livers. Conclusions We believe PCSK9-EE may offer an effective, safe, and durable approach to suppress hepatic PCSK9 expression and achieve long-lasting reduction in LDL-C. Furthermore, epigenetic editing may hold promise for one-and-done approaches for the treatment of atherosclerotic cardiovascular disease without cutting, nicking, or altering the DNA sequence.

The Mutscore metapredictor: a new application of artificial intelligence in cardiogenetics

Abstract Introduction The rapid development of high-throughput next generation sequencing has shifted the limits of genetic knowledge from variant sequencing to variant interpretation. The current standards recommend that sequence variants are interpreted according to a comprehensive analysis including, among others, computational data. The two major types of in-silico predictive tools encompass those predicting the theoretical variant effect on splicing and algorithms predicting the potential damage of missense variants. However, overall for missense variants, prediction accuracy is often limited and results are sometimes inconsistent between software programs. Purpose We aimed at testing the predictive performance of a new predictive algorithm (Mutscore) for missense variants based on a machine learning approach, in our cohort of families referred for hereditary cardiac diseases. Methods We retrospectively reviewed DNA sequencing results from 230 families (from 01.07.2014 till 01.07.2023) addressed to our center for channelopathy or hereditary cardiomyopathy. Missense variants were identified and evaluated according to the current standards of the American College of Medical Genetics and Genomics. Variants were analysed with the commonly used in-silico tools CADD, Polyphen, Alpha-missense and Revel. We further applied the Mutscore, a new metapredictor integrating 16 existing predictive tools to data on variant topographical location. Results Among our 230 families, we detected 252 missense variants (class I-II 2.4%, class III 62.3%, class IV and V 15.9% and 19.4% respectively). We observed a significant positive correlation (r = 0.59, p=0.000) between the Mutscore and the interpretation of variants according to standards. The Mutscore had a better predictive performance than Polyphen (AUC 0.83 vs 0.67, p=0.007), Alpha-missense (AUC 0.87 vs 0.79, p=0.047) and CADD (AUC 0.87 vs 0.70, p=0.0001). Compared to Revel, the Mutscore had a comparable predictive performance (0.89 vs 0.87, p=NS), but a better sensitivity (75% vs 66%) at the maximum tolerated false positive rate of 10%. Figure 1. Focusing on variants of uncertain significance (VUS), we applied Mutscore cut-off values which were identified to reclassify variants in our previous study (1). Importantly, the Mutscore reclassified 45% of VUS into likely benign/pathogenic variants. Figure 2. Conclusions The Mutscore, through its metaprediction approach integrating data on variant topographical location, improves the accuracy of pathogenicity prediction as compared to three out of four algorithms commonly used in clinical practice, and seems to represent a valuable tool contributing to VUS disambiguation.

Genome-Wide Data Uncover Cryptic Diversity With Multiple Reticulation Events in the Balkan-Anatolian Cardamine (Brassicaceae) Species Complex.

Plant species diversity may be considerably underestimated, especially in evolutionarily complex genera and in diversity hotspots that have enabled long-term species persistence and diversification, such as the Balkan Peninsula. Here, we address the topic of underexplored plant diversity and underlying evolutionary and biogeographic processes by investigating the hygrophytic mountain species complex of Cardamine acris s.l. distributed in the Balkans (three subspecies within C. acris) and northwestern Anatolia (C. anatolica). We performed a series of phylogenetic and phylogeographic analyses based on restriction-site associated DNA sequencing (RADseq) and target enrichment (Hyb-Seq) data in combination with habitat suitability modelling. We found C. anatolica as a clade nested within the Balkan C. acris, probably resulting from a founder event, and uncovered three allopatric cryptic lineages within C. acris subsp. acris, allowing us to recognise a total of six entities in this complex. We observed the deepest genetic split within C. acris subsp. acris in the western Balkans, which was at odds with taxonomy and showed no distribution gap. We inferred vicariance as the most likely process for population divergence in the Balkans, accompanied by gene flow between the recognised entities, which was consistent with the modelled habitat suitability dynamics. Furthermore, we discovered several polyploid populations in C. acris, representing both pure intra- and inter-lineage hybrid polyploids, but detected only minor traces of hybridization with related congeners. Overall, our results illustrate that diverse evolutionary processes may influence the history of mountain plant species in the Balkan Peninsula, including vicariance, reticulation, polyploidization and cryptic diversification.

Phytoplasma DNA Enrichment from Sugarcane White Leaves for Shotgun Sequencing Improvement

Sugarcane white leaf (SCWL) disease, caused by Candidatus Phytoplasma sacchari, poses a significant threat to sugarcane cultivation. An obligate parasite, phytoplasma is difficult to culture in laboratory conditions, making the isolation of its DNA from the massive amount of plant host DNA extremely challenging. Yet, the appropriate amount and quality of plant microbiome-derived DNA are key for high-quality DNA sequencing data. Here, a simple, cost-effective, alternative method for DNA isolation was applied using a guanidine-HCl-hydroxylated silica (GuHCl-Silica)-based method and microbiome DNA enrichment based on size-selective low-molecular-weight (LMW) DNA by PEG/NaCl precipitation. qPCR analysis revealed a significant enrichment of phytoplasma DNA in the LMW fraction. Additionally, the NEBNext Microbiome DNA enrichment kit was utilized to further enrich microbial DNA, demonstrating a remarkable increase in the relative abundance of phytoplasma DNA to host DNA. Shotgun sequencing of the isolated DNA gave high-quality data on the metagenome assembly genome (MAG) of Ca. Phytoplasma sacchari SCWL with completeness at 95.85 and 215× coverage. The results indicate that this combined approach of PEG/NaCl size selection and microbiome enrichment is effective for obtaining high-quality genomic data from phytoplasma, surpassing previous methods in efficiency and resource utilization. This low-cost method not only enhances the recovery of microbiome DNA from plant hosts but also provides a robust framework for studying plant pathogens in complex plant models.

An integrated view of the structure and function of the human 4D nucleome.

The dynamic three-dimensional (3D) organization of the human genome (the "4D Nucleome") is closely linked to genome function. Here, we integrate a wide variety of genomic data generated by the 4D Nucleome Project to provide a detailed view of human 3D genome organization in widely used embryonic stem cells (H1-hESCs) and immortalized fibroblasts (HFFc6). We provide extensive benchmarking of 3D genome mapping assays and integrate these diverse datasets to annotate spatial genomic features across scales. The data reveal a rich complexity of chromatin domains and their sub-nuclear positions, and over one hundred thousand structural loops and promoter-enhancer interactions. We developed 3D models of population-based and individual cell-to-cell variation in genome structure, establishing connections between chromosome folding, nuclear organization, chromatin looping, gene transcription, and DNA replication. We demonstrate the use of computational methods to predict genome folding from DNA sequence, uncovering potential effects of genetic variants on genome structure and function. Together, this comprehensive analysis contributes insights into human genome organization and enhances our understanding of connections between the regulation of genome function and 3D genome organization in general.

Hop2-Mnd1 functions as a DNA sequence fidelity switch in Dmc1-mediated DNA recombination

Homologous recombination during meiosis is critical for chromosome segregation and also gives rise to genetic diversity. Genetic exchange between homologous chromosomes during meiosis is mediated by the recombinase Dmc1, which is capable of recombining DNA sequences with mismatches. The Hop2-Mnd1 complex mediates Dmc1 activity. Here, we reveal a regulatory role for Hop2-Mnd1 in restricting substrate selection. Specifically, Hop2-Mnd1 upregulates Dmc1 activity with DNA substrates that are either fully homologous or contain DNA mismatches, and it also acts against DNA strand exchange between substrates solely harboring microhomology. By isolating and examining salient Hop2-Mnd1 separation-of-function variants, we show that suppressing illegitimate DNA recombination requires the Dmc1 filament interaction attributable to Hop2-Mnd1 but not its DNA binding activity. Our study provides mechanistic insights into how Hop2-Mnd1 helps maintain meiotic recombination fidelity.

Electrochemiluminescence Biosensor for Ascorbic Acid Based on Target Transformation of Cell-Free RNA Transcription System and Duplex-Specific Nuclease-Assisted Recycling Amplification.

A cell-free RNA transcription system had been coupled with electrochemiluminescence (ECL) detection technology for the first time to develop an ascorbic acid (AA, acting as a model target) biosensor. The biosensor is composed of single-stranded DNA (ssDNA) sequences modified with alkynyl and azido groups, respectively, alongside an incomplete gene circuit framework. The addition of target AA and copper ions will cause the linkage of the two ssDNA sequences through a click chemistry reaction. This results in the subsequent reconstruction of a complete gene circuit. The reconstituted gene circuit, in conjunction with the T7 RNA polymerase, drives the transcription of substantial quantities of RNA. ssDNA labeled with ferrocene (Fc) (Fc-DNA) had been immobilized on a tris(2,2'-bipyridyl) ruthenium(II) chloride hexahydrate-doped SiO2 nanoparticle (Ru@SiO2 NPs) modified electrode first. The quenching effect of Fc on Ru@SiO2 causes the low ECL detected. The transcribed RNA sequence assisted double-stranded specific nuclease (DSN) to cut the ssDNA-Fc and the ECL of the system was enhanced. Optimal experimental conditions reveal that the ECL signal exhibits a linear correlation with the logarithmic concentration of AA, spanning a detection range from 100 nM to 1 mM, with a detection limit of 45 nM. This innovative methodology expands the utility of a cell-free RNA transcription system within the realm of biosensing applications.

Environmental niche models improve species identification in DNA barcoding

Abstract Recent advances in DNA barcoding have immeasurably advanced global biodiversity research in the last two decades. However, inherent limitations in barcode sequences, such as hybridization, introgression or incomplete lineage sorting can lead to misidentifications when relying solely on barcode sequences. Here, we propose a new Niche‐model‐Based Species Identification (NBSI) method based on the idea that species distribution information is a potential complement to DNA barcoding species identifications. NBSI performs species membership inference by incorporating niche modelling predictions and traditional DNA barcoding identifications. Systematic tests across diverse scenarios show significant improvements in species identification success rates under the newly proposed NBSI framework, where the largest increase is from 4.7% (95% CI: 3.51%–6.25%) to 94.8% (95% CI: 93.19%–96.06%). Additionally, obvious improvements were observed when using NBSI on potentially ambiguous sequences whose genetic nearest neighbours belongs to another species or more than two species, which occurs commonly with species represented by single or short DNA barcodes. These results support our assertion that environmental factors/variables are valuable complements to DNA sequence data for species identification by avoiding potential misidentifications inferred from genetic information alone. The NBSI framework is currently implemented as a new R package, ‘NicheBarcoding’, that is open source under GNU General Public Licence and freely available from https://CRAN.R‐project.org/package=NicheBarcoding.

Is it Time for Multi-Drug Therapy with Combination of Therapeutic Nucleic Acids?

Therapeutic nucleic acids (TNAs) are a new class of drugs that exhibit different properties and mechanisms of action from those of small molecules or biological drugs. Over twenty oligonucleotide drugs and several COVID-19 vaccines have received regulatory approval for clinical use. A characteristic feature of these TNAs is that they are directed against one specific biological target and one specific RNA or DNA sequence. Consequently, TNAs currently used are administered as monotherapy. Due to the known advantages of multidrug therapy with low molecular weight drugs, it may be time to intensify work on such a treatment protocol, also in the case of TNAs.

A Highly Tumor-Permeating DNA Nanoplatform for Efficient Remodeling of Immunosuppressive Tumor Microenvironments.

The immunosuppressive tumor microenvironment and limited intratumoral permeation have largely constrained the outcome of tumor therapy. Herein, we report a tailored DNA structure-based nanoplatform with striking tumor-penetrating capability for targeted remodeling of the immunosuppressive tumor microenvironment in vivo. In our design, chemo-immunomodulator (gemcitabine) can be precisely grafted on DNA sequences through a reactive oxygen species (ROS)-sensitive linker. After self-assembly, the gemcitabine-grafted DNA structure can site-specifically organize legumain-activatable melittin pro-peptide (promelittin) on each vertex for intratumoral delivery and further function as the template to load photosensitizers (methylene blue) for ROS production. The tailored DNA nanoplatform can achieve targeted accumulation, highly improved intratumoral permeation, and efficient immunogenic cell death of tumor cells by laser irradiation. Finally, the immunosuppressive tumor microenvironment can be successfully remodeled by reducing multi-type immunosuppressive cells and enhancing the infiltration of cytotoxic lymphocytes in the tumor. This rationally developed multifunctional DNA nanoplatform provides a new avenue for the development of tumor therapy.

Heavy Metals in Umbilical Cord Blood: Effects on Epigenetics and Child Development

Heavy metals like arsenic, mercury, cadmium, and lead are harmful pollutants that can change how our genes are regulated without altering the DNA sequence, specifically through a process called DNA methylation (DNAm) at 5-methylcytosine, an epigenetic mark that we will focus on in this review. These changes in DNAm are most sensitive during pregnancy, a critical time for development when these modifications can affect how traits are expressed. Historically, most research on these environmental effects has focused on adults, but now there is more emphasis on studying the impacts during early development and childhood. The placenta acts as a protective barrier between the mother and the baby, and by examining it, scientists can identify changes in key genes that might affect long-term health. This review looks at how exposure to heavy metals during pregnancy can cause changes in the gene regulation by DNAm in newborns, as seen in their umbilical cord blood. These changes reflect the baby’s genetic state during pregnancy and can be influenced by the mother’s environment and genetics, as well as the baby’s own genetics.

Genotyping single nucleotide polymorphisms in homologous regions using multiplex kb level amplicon capture sequencing.

Single nucleotide polymorphisms (SNPs) in homologous regions play a critical role in the field of genetics. However, genotyping these SNPs is challenging due to the presence of repetitive sequences within genome, which demand specific method. We introduce a new, mid-throughput method that simplifies SNP genotyping in homologous DNA sequences by utilizing a combination of multiplex kb level PCR (PCR size 2.5k-3.5kb) for capturing targeted regions and multiplex nested PCR library construction for next-generation sequencing (Multi-kb level capture-seq). First of all, we randomly selected 7 SNPs in homologous regions and successfully captured 6-plex kb level amplicons (one of segments contains 2 SNPs, while the remaining segments each have only one SNP) in a single tube. And then, the amplification products were subjected to multiplex nested PCR for library construction and sequenced on Illumina platform. We tested this strategy using 600 amplicons from 100 samples and accurately genotyped 96.8% of target SNPs with a coverage depth of ≥ 15×. For the uniformity within the samples, over 66.7% (4/6) of the amplicons had a coverage depth above 0.2-fold of average sequencing depth. To validate the accuracy of this approach, we performed Ligase detection reaction PCR for genotyping the 100 samples, and found that the genotyping data was 97.71% consistent with our NGS results. In conclusion, we have developed a highly efficient and accurate method for SNP genotyping in homologous regions, which offers researchers a new strategy to explore the complex regions of genome.

Metagenomic analysis of deep-sea bacterial communities in the Makassar and Lombok Straits

The extreme conditions of the deep-sea environment, including limited light, low oxygen levels, high pressure, and nutrient scarcity, create a natural habitat for deep-sea bacteria. These remarkable microorganisms have developed unique strategies to survive and adapt to their surroundings. However, research on the diversity of deep-sea bacteria, both culture-dependent and culture-independent, in Indonesian waters remains insufficient. This study focused on exploring the biodiversity of deep-sea bacteria, specifically in the Makassar and Lombok Strait, the main Indonesian throughflow pathway characterized by relatively fertile water, which serves as an important deep-sea region. High-throughput DNA sequencing of full-length 16S rRNA was employed to construct a genomic database. The results of the bioinformatic analysis revealed that two stations, 48 and 50 (Makassar Strait), exhibited a more similar community structure of deep-sea bacteria than did station 33 (Lombok Strait). Among the predominant phyla found at a depth of 1000 m, the top ten were Proteobacteria, Firmicutes, Bacteroidetes, Actinobacteria, Planctomycetes, Acidobacteria, Nitrospinae, Verrucomicrobia, Candidatus Melainabacteria, and Cyanobacteria. Furthermore, the genera Colwellia, Moritella, Candidatus Pelagibacter, Alteromonas, and Psychrobacter consistently appeared at all three stations, albeit with varying relative abundance values. These bacterial genera share common characteristics, such as psychrophilic, halophilic, and piezophilic tendencies, and are commonly found in deep-sea ecosystem. The environmental conditions at a depth of 1000 m were relatively stable, with an average pressure 10 MPa, temperature 4.68 °C, salinity 34.58 PSU, pH 8.06, chlorophyll-a 0.29 µg/L, nitrate 3.19 µmol/L, phosphate 6.32 µmol/L and dissolved oxygen (DO) 2.90 mg/L. The bacterial community structures at the three sampling stations located at the same depth (1000 m) exhibited similarities, as indicated by the closely aligned similarity index values.

An Integrated Multi-Model Framework Utilizing Convolutional Neural Networks Coupled with Feature Extraction for Identification of 4mC Sites in DNA Sequences

N4-methylcytosine (4mC) is a chemical modification that occurs on one of the four nucleotide bases in DNA and plays a vital role in DNA expression, repair, and replication. It also actively participates in the regulation of cell differentiation and gene expression. Consequently, it is important to comprehend the role of 4mC in the epigenetic regulation for revealing the complications of the gene expression and their associated governing cellular operations. However, the inherent resource requirements and time constraints of the experimental procedure, present challenges to the cellular culture process. While data-driven methodologies present promising solutions to mitigate the demand for extensive experimental efforts, their performance relies on the suitability and existence of high-quality data. This study presents a multi-model framework that integrates convolutional neural network (CNN) with the distributed k-mer and embedding feature extraction techniques to enhance the identification of 4mC sites in DNA sequences. The integration of k-mers ensures the effective representation of the local sequence patterns, while the utilization of embedding enables a more holistic encoding by considering the broader context and semantics of the sequence data. Following the initial step, the obtained distributed representation of the DNA sequence seamlessly enters the CNN, triggering a crucial convolution operation wherein a set of adaptable filters systematically convolves across the sequence to detect vital local patterns. The proposed integrated multi-model framework was applied to six publicly available datasets and evaluated against the cutting-edge 4mCPred, 4mCCNN, iDNA4mC, Meta-4mCpred, DeepTorrent, 4mCPred-SVM, and DMKL-HFIS methods. The evaluation was based on accuracy, specificity, sensitivity, and Matthews Correlation Coefficient. The results demonstrated that the proposed multi-model framework outperformed the state-of-the-art methods, as well as one-hot encoding and the hybrid of one-hot & TNC features, in accurately identifying 4mC sites.

A Highly Tumor‐Permeating DNA Nanoplatform for Efficient Remodeling of Immunosuppressive Tumor Microenvironments

AbstractThe immunosuppressive tumor microenvironment and limited intratumoral permeation have largely constrained the outcome of tumor therapy. Herein, we report a tailored DNA structure‐based nanoplatform with striking tumor‐penetrating capability for targeted remodeling of the immunosuppressive tumor microenvironment in vivo. In our design, chemo‐immunomodulator (gemcitabine) can be precisely grafted on DNA sequences through a reactive oxygen species (ROS)‐sensitive linker. After self‐assembly, the gemcitabine‐grafted DNA structure can site‐specifically organize legumain‐activatable melittin pro‐peptide (promelittin) on each vertex for intratumoral delivery and further function as the template to load photosensitizers (methylene blue) for ROS production. The tailored DNA nanoplatform can achieve targeted accumulation, highly improved intratumoral permeation, and efficient immunogenic cell death of tumor cells by laser irradiation. Finally, the immunosuppressive tumor microenvironment can be successfully remodeled by reducing multi‐type immunosuppressive cells and enhancing the infiltration of cytotoxic lymphocytes in the tumor. This rationally developed multifunctional DNA nanoplatform provides a new avenue for the development of tumor therapy.