Editor’s Choice Articles

The migratory shad, Hilsa (Tenualosa ilisha) is an iconic species of profound economic and cultural value across the Indian sub-continent due to its delicious taste and significant contributions to gross domestic product (GDP). Lack of fundamental genomic data regarding sex determination, impedes development of optimized breeding techniques and target conservation goals. In this study, a next-generation sequencing (NGS)-based genotyping technique was applied to identify sex-linked markers, modes of sex determination, putative sex-determining genes and the population genomic structure of Hilsa. Genotyping of 94 Hilsa individuals (46 males and 48 females) collected from four distinct locations of Bangladesh (three different river systems and Bay of Bengal as a marine site) revealed 31,696 single-nucleotide polymorphisms (SNPs) and 12,754 presence/absence (PA) loci. Among these SNPs and PA, we identified 20 SNPs that were heterozygous in females but homozygous in males and 4 PA loci which were only present in females. Therefore, this study conclusively identifies a female heterogametic (ZZ/ZW) sex determination system in Hilsa. Comparative BLAST analysis using sex-linked loci against Hilsa genomes resulted in the identification of five candidate genes potentially involved in sex-determination pathways. Moreover, population genetic analysis revealed low spatial genetic differentiation among the four sampling sites but notable divergence between males and females (minimum 1.8–2.8% variation in principal coordinate analysis). For most of the sampling sites, higher observed heterozygosity (Ho) compared to expected heterozygosity (He) is the indicative of a robust population status with minimal evidence of inbreeding. Our study provides a baseline for further improving the management and conservation of the wild populations of the species. Full article

Background: The computation of DNA is a field of growing interest, primarily focused on studying its individual constituents, but a few authors have gone further by analyzing standard microhelices with DFT methods. Objective: Because these studies did not consider that, at the atomic level, other possible DNA and RNA helices with the WC-type arrangement are also stable, this is the main objective here. Methods: Therefore, forty microhelices were optimized in a simple model with three WC base pairs composed of nucleosides using the M06-2X DFT method. Results: Based on the spatial arrangement of the intramolecular H-bond with the 2′-OH group, five types of RNA:RNA double microhelices were obtained; by this arrangement, they were related to the corresponding DNA:DNA ones. In addition to A-type and B-type microhelices, two new types were found, conveniently named B1-type and C-type. The structural geometric parameters of all these optimized microhelices in an isolated state were compared and analyzed in detail. The total counterpoise-corrected interaction energies were determined in these microhelices. RNA microhelices with different types of intramolecular H-bond arrangements involving the 2′-OH group in each single strand were also optimized, as well as their corresponding DNA helices having the same spatial arrangement. Different DNA:RNA hybrid microhelices were also considered, and their structural geometric parameters were compared to those of other microhelices. Conclusions: the identification and detailed characterization, for the first time, of ten main stable spatial geometric shapes with different exocyclic and endocyclic torsional angles. Several relationships among the structural geometric parameters of these microhelices were also established. Although the new DNA/RNA helix types containing theoretically obtained WC pairs have not been found in biological helices, they could be synthesized and they may open the possibility of being used for other purposes. Full article

Background: Pulmonary aspergillosis remains underdiagnosed in patients with structural lung disease, as conventional methods might miss a part of cases. There are few real-world data on quantitative PCR performance outside immunocompromised populations. We evaluated the Aspergillus ELITe MGB Kit across two years of routine clinical practice at a tertiary pulmonology center. Methods: We retrospectively analyzed 492 consecutive ELITe MGB PCR tests (October 2023–September 2025) at the Marius Nasta Institute of Pneumology, Bucharest, Romania, performed on bronchoalveolar aspirate (n = 219), lavage (BAL; n = 202), and plasma (n = 65). Results were correlated with microscopy, fungal culture, imaging, and host risk factors where available. Results: Of 451 evaluable tests, 140 (31.0%) were significant, 7 (1.6%) low-level detected, and 304 (67.4%) non-significant or negative. Combined positivity was 32.6%. Aspirate outperformed BAL in positivity rate (42.8% vs. 30.8%; p ≈ 0.013); aspirate and BAL had similar median DNA loads (120 copies/mL each) but aspirate showed a longer tail toward very high loads (p < 0.001); raw median DNA loads (67 vs. 120 copies/mL) were not directly comparable between matrices due to differing matrix-specific lower limits of quantification (50 vs. 120 copies/mL, reflecting BAL dilution). Plasma positivity was 1.8%. Positivity peaked in May–June (42.5–45.5%), contrasting with the classical autumn pattern. Chronic obstructive pulmonary disease (COPD) was the dominant risk factor (OR = 3.45). PCR exclusively detected Aspergillus in the majority of cases where microscopy and culture were negative. Conclusions: The ELITe MGB kit demonstrates clinically meaningful diagnostic yield in a real-world pulmonology cohort. Aspirate consistently outperforms BAL, and the low-level detected category identifies a borderline population warranting prospective validation. The unexpected spring–summer positivity peak suggests a greater role for post-viral aspergillosis than previously recognized in this setting. Full article

Chronic respiratory diseases, including chronic obstructive pulmonary disease (COPD), asthma, and interstitial lung diseases (ILDs), represent a major global health burden. Their significant clinical and biological heterogeneity complicates diagnosis and limits the efficacy of traditional, one-size-fits-all management approaches. The advent of high-throughput genomic and multi-omic technologies has initiated a paradigm shift from syndromic classification to molecular-based endotyping. A narrative review of the literature was performed, synthesising foundational and recent research in the genomics, epigenomics, and multi-omics of chronic respiratory diseases. Key studies were selected based on their relevance to genetic architecture, biomarker development, and translational applications in precision medicine. We discuss the complex genetic architecture of pulmonary conditions, highlighting the contribution of both rare, high-penetrance variants, such as SERPINA1, CFTR, and BMPR2, and polygenic risk from many common variants, such as HHIP, FAM13A, and IL33. We provide detailed analyses of polygenic risk scores (PRSs) for COPD and asthma, including their construction, validation across ancestries, and predictive performance. We detail how integrative multi-omic approaches, including transcriptomics, proteomics, and metabolomics, are successfully defining molecular endotypes, such as Type 2-high asthma, which, in turn, inform the use of targeted biologic therapies. Finally, we review the development of molecular diagnostics, including metagenomic sequencing of infections and liquid biopsies for lung cancer and the development of prognostic biomarkers. The genomic revolution is transforming pulmonary medicine through the discovery of novel disease pathways, precise molecular classification, and the recognition of new therapeutic targets. Despite major challenges in functional interpretation, data integration, and clinical–translational equity, these technologies hold the key to a new era of personalised respiratory health and precision medicine. Full article

Background/Objectives: In recent years, efforts to understand obesity’s pathophysiology have focused on satiety signals in the hypothalamus and hormonal signalling in orexigenic and anorexigenic neurons. These signals, linked to hunger, satiety, and energy expenditure, are influenced by peptides that activate or suppress specific pathways. However, different phenotypes related to body composition result from mutations (allelic variants) in genes that encode these proteins, particularly peptide receptors. Specifically, the hormone receptor ghrelin (GHSR), located on the surface of orexigenic neurons, has been linked to the regulation of hunger. Additionally, the production and secretion of ghrelin, a peptide hormone produced by the stomach, may exhibit varying sensitivity in its receptor based on an individual’s nutritional status. Moreover, allelic variants of the GHSR gene may potentially lead to significant alterations in signalling provided by the GHSR receptor, resulting in modified hormone-binding phenotypes. In this context, the search for allelic variants that can account for diverse phenotypes, whether thinness or overweight/obesity, can aid in comprehending the pathway and defining new strategies for early laboratory diagnosis or target peptides for treatment. Methods: Initial mining produced 373 non-random SNPs located in missense regions. A total of 373 missense variants were initially identified in the GHSR gene. After applying a global minor allele frequency (MAF) filter of <1%, 20 rare missense variants remained. Results: These variants were subsequently analyzed using nine in silico pathogenicity prediction tools, resulting in the prioritization of eight variants predicted as deleterious by at least four algorithms. These variants were further analysed using the HOPE project web server and the SwissModel database. Conclusions: Through these analyses and future investigations into these mutations, we may gain a more comprehensive understanding of the implications of these mutations and their potential correlation with the pathophysiology of obesity. Full article

Eosinophilic esophagitis (EoE) and inflammatory bowel disease (IBD) are immune-mediated disorders of the gastrointestinal (GI) tract that, despite involving different tissues, are increasingly recognized to coexist. Epidemiologic studies demonstrate a bidirectional association, with patients affected by one condition showing a higher-than-expected prevalence of the other, suggesting shared susceptibility rather than incidental overlap. Genetic and epigenetic data support partial convergence in immune regulatory pathways, while epithelial barrier dysfunction and antigen-driven immune activation emerge as common upstream features. Overlapping cytokine networks, including IL-4, IL-13, and IL-23 signaling, contribute to chronic inflammation in both diseases, although differences in tissue environment and immune dominance give rise to distinct inflammatory phenotypes and clinical behavior. Clinical outcomes in patients with dual diagnoses appear heterogeneous, with available data suggesting neither uniformly worsened nor clearly protective disease courses, underscoring the complexity of shared immune mechanisms operating within different anatomic contexts. Beyond inflammatory activity, coexistence of EoE and IBD poses important nutritional and quality-of-life challenges, as overlapping dietary restrictions and chronic symptoms increase the risk of malnutrition, micronutrient deficiencies, and psychosocial burden. Current therapies remain disease-specific, with strong evidence supporting proton pump inhibitors, swallowed topical steroids, dietary therapy, and dupilumab in EoE, and biologics and small molecules targeting TNF-α, IL-12/23, IL-23, integrins, and JAK–STAT signaling in IBD, while evidence guiding treatment in patients with dual diagnosis remains limited. Together, current evidence supports a framework of shared immune machinery with tissue-specific expression that explains coexistence while preserving the distinct identities of EoE and IBD. By integrating emerging genetic, immunologic, and clinical evidence, this review aims to provide a framework for understanding and managing patients with coexisting EoE and IBD. Full article

Introduction: Does DNA superhelicity effect nucleic acid interactions with drugs? To test such a possibility, the interactions of the linear and superhelical forms of the pGEX-4T-2 plasmid have been investigated with a newly synthesized compound, 4-chloro-6-(1H-imidazo [4,5-b]phenazine-2-yl)benzene-1,3-diol, positively tested for the antiproliferative (cell growth-limiting) properties, important for the development of anticancer drugs. Methods: The accumulation of the compound, and its possible reorientation (phase transition) within the plasmid layer adsorbed on a Glassy Carbon (GC) electrode has been monitored in 5 min. intervals using alternatively two voltammetric methods—Differential Pulse (DP), showing redox properties and—Alternating Current (AC), reflecting both redox and structural properties (capacity/resistance change related to DNA condensation) of the DNA-drug layers. Results and Discussion: The accumulation plots of the compound in plasmid layers are different for superhelical and linear pGEX-4T-2 and also depend on the DNA coverage by the compound. The reorientation (phase transition) occurs at a compound concentration 2 µM for the superhelical plasmid and 1.5 µM for the linear one, as compared to 8 µM for the compound layer formed on bare GC, thus proving the existence of the DNA–compound interactions. Interestingly, the phase transition is redox-sensitive, e.g., AC redox signal II is visible for the linear, but not for the superhelical plasmid, thus reflecting different orientation of the compound in these two types of pGEX-4T-2 plasmid, related to the condensation in the DNA–compound layer and seen as a decrease in the C/R signal. Conclusions: The results suggest that the reorientation of the compound leading to plasmid condensation occurs differently in supercoiled and linear pGEX-4T-2 (redox specific accumulation and condensation). Full article

Background/Objectives: Multiplex and point-of-care (POC) diagnostics require each probe to detect one intended target while rejecting many closely related sequences under shared room-temperature conditions. The conventional focus on mismatch count is incomplete: two alignments with the same number of matches and mismatches can have very different off-target risks depending on whether mismatches are clustered or distributed. We introduce a simple visual heuristic that scores mismatch placement rather than mismatch count alone. Methods: Effective complementary island (ECI) score retained matched continuity after subtracting one base for each mismatch- or gap-exposed edge. The score is S_ECI = Σ_i ECI_i^2, and the design margin is ΔS_ECI = S_ECI (intended) − S_ECI (highest-scoring non-intended alignment by ECI). ECI is not a thermodynamic model; thermodynamics (ΔG37) is used separately to verify an adequate sensitivity floor. We retrospectively applied ECI to a fixed 39-target HPV capture-probe benchmark and to a public Affymetrix dataset contrasting clustered versus distributed mismatches at identical or near-identical mismatch counts. Results: In the HPV benchmark, ECI separated intended from off-target in 32/39 panels; ΔG37 favored the intended duplex in 31/39 panels; both layers were concordant in 36/39 panels. In the Affymetrix dataset (n = 8 probes, 2–4 mismatches), S_ECI correlated with reported log2 hybridization intensity (Pearson r = 0.92, p = 0.0014). Within the strict three-mismatch subset (n = 5), S_ECI remained correlated with intensity (r = 0.96; p = 0.010), while ΔG37 was uncorrelated (r = −0.04; p = 0.95), supporting the narrower claim that mismatch placement can affect signal even when mismatch count is fixed. Conclusions: ECI is not a replacement for thermodynamics, BLAST, target-accessibility analysis, empirical optimization, or machine-learning prediction. It adds one actionable readout: where to shift, shorten, or place a limited intentional mismatch so that intended retained continuity stays above the assay floor while the highest-scoring off-target island by ECI is fragmented. We provide a bench-ready workflow for multiplex, room-temperature, and POC probe design. Full article

Liquid biopsy has evolved beyond its original role as a minimally invasive approach for mutation detection and is now being developed as a broader analytical framework for cancer detection, stratification, and longitudinal monitoring. Improvements in next-generation sequencing, assay chemistry, and computational analysis have increased analytical sensitivity, including in settings with low tumor fraction and very low variant allele abundance. These advances have expanded the utility of cfDNA analysis in measurable residual disease assessment and in the detection of low-abundance tumor-derived signals across multiple clinical contexts. At the same time, the field has shifted toward interpreting cfDNA as a carrier of higher-order biological information rather than solely a substrate for mutation calling. Fragmentation profiles, nucleosome positioning, and chromatin accessibility patterns derived from plasma DNA have been used to infer transcriptional and regulatory states, raising the possibility that cfDNA may capture functional tumor states not readily accessible through genotype-focused assays alone. These developments have prompted growing interest in chromatin-informed cfDNA analysis as a means of identifying pathway activity, enhancer usage, transcription factor occupancy, and potentially actionable biological dependencies. However, the translational relevance of many such inferences remains incompletely established, and preanalytical variability, limited cross-cohort generalizability, and the gap between analytical performance and clinical utility continue to constrain clinical translation. This review examines the role of cfDNA in adaptive oncology, highlighting recent analytical advances, assessing the current evidence supporting their biological and clinical utility, and considering the extent to which cfDNA-derived regulatory inference may contribute to adaptive oncology and therapeutic decision-making. Full article

Background/Objectives: Chromosome research is essential for advancing our understanding of cytogenetics, gene regulation and numerous aspects of organismal health. Staining chromosomes with 4′,6-diamidino-2-phenylindole (DAPI) and applying Fluorescence Lifetime Imaging Microscopy (FLIM) enables the assessment of structural changes in pericentromeric and heterochromatin-rich region of chromosomes 1, with a shorter fluorescence lifetime (FLT) in the pericentromeric regions compared to the arms. Methods: We used FLIM to optimise sample preparation conditions for more robust imaging and furthermore to measure the impact of low-dose X-ray ionising radiation on chromosome structure when labelled with DAPI. Results: We applied this method to different DNA stains bound to chromosomes where only DAPI led to a clear FLT difference between the chromosome arms (p,q) with 2.98 ± 0.12 ns and 2.65 ± 0.07 ns at the pericentromeric region, while similar stains, such as Hoechst 33258 and NucBlue^TM did not highlight these regions as clearly following FLIM analysis. Our data showed that chromosomes of cells irradiated with 0.1 Gy and 1 Gy did not show a significant change in FLTs (2.94 ± 0.09 ns on the arms and 2.60 ± 0.06 ns on the pericentromeric region) of chromosome 1. Whilst irradiation with 0.5 Gy led to a noticeable and significant reduction in FLT with 2.42 ± 0.13 ns on the arms and 2.12 ± 0.06 ns on the pericentromeric region of HeLa chromosomes. The same pattern could also be seen on X-ray-irradiated T-cell chromosomes. Conclusions: These findings indicate that DAPI FLT may be a useful tool to measure chromosomal structural changes and further suggests that chromosomes undergo distinct structural changes at the pericentromeric region following low-dose irradiation. Full article

Cancer cells have many derailed processes due to which they have a higher proliferative capacity. The rewiring is continuously taking place to meet their metabolic demands. The demands depend on the stage of cancer, and these differences create challenges in curing them. Nucleotide metabolism plays a pivotal role in shaping cancer fate. DNA repair and other damage pathways also play a key role in cancer progression, genomic instability, errors in genetic material etc. These are discussed in this mini review so that researchers can take the lead to make an effort to combat cancer and design new therapeutics. Full article

Background: Long non-coding RNAs (lncRNAs) are increasingly recognized as key regulators of gene expression, playing pivotal roles in diverse biological processes, including reproduction. This study identified and characterized lncRNAs located near fertility-associated genes in Retinta beef cattle, exploring their potential regulatory roles via DNA–RNA triplex formation using in silico approaches. Methods: We applied an integrative bioinformatics pipeline to identify potential triplex interactions, predicting structurally accessible regions within the lncRNAs and demonstrating the statistical enrichment of binding sites across known regulatory genomic elements. Results: Twelve protein-coding genes previously linked to female fertility or male scrotal circumference were analyzed, revealing 16 unique lncRNAs within ±50 kb windows, predominantly on BTA5. We predicted high-confidence triplex-forming oligonucleotides (TFOs) for most gene-lncRNA pairs. Our results suggest robustness and sequence specificity, as interactions were disrupted by sequence permutation or when a control background sequence was used. RNA secondary-structure analysis revealed that TFOs generally lie in exposed regions, supporting their accessibility for triplex formation. Furthermore, promoter and regulatory regions of fertility-associated genes were enriched in predicted triplex target sites (TTSs), with some overlapping CpG islands and enhancer regions, leading to the hypothesis that these lncRNAs might play a role in epigenetic regulation. Conclusions: Overall, these findings establish computationally derived hypotheses regarding the potential molecular mechanisms by which lncRNAs may modulate reproductive efficiency in cattle and highlight specific lncRNAs as promising targets for functional studies and marker-assisted breeding. Full article

Real-time selective sequencing on nanopore platforms offers a programmable way to enrich target molecules and deplete background DNA during a run. This approach, widely known as adaptive sampling (AS), has been applied across host depletion, metagenomics, targeted loci, plasmid/AMR workflows, and RNA/transcriptomic protocols, but reported performance varies substantially across studies. This review synthesizes current algorithmic and empirical evidence with emphasis on sequencing-relevant outcomes, including absolute informative yield, target-coverage behavior, throughput effects, and run-to-run stability. Across use cases, relative enrichment is frequently observed, but gains in usable genomic output are strongly conditioned by fragment-length distributions, reference quality, decision-loop latency, and rejection-associated penalties in total yield and pore longevity. Evidence from targeted-panel and complex-locus studies further indicates that improved depth concentration can coexist with coverage non-uniformity and context-specific trade-offs relative to wet-lab enrichment. Overall, the literature supports AS as a valuable but condition-dependent strategy whose benefit is greatest when assay design, reference selection, and computational constraints are jointly optimized. Full article

Epigenetics is a widely present mechanism for the modulation of gene expression without alterations in the underlying genetic sequence. Epigenetic signatures are significantly present in bacteria, with DNA methylation playing a key role in the modulation of bacterial physiology and pathogenesis. DNA methyltransferases (MTases) are the enzymes catalyzing the transfer of methyl groups to adenine or cytosine residues in the DNA using the methyl donor S-adenosyl-L-methionine (SAM). This process generates modified bases, N6-methyladenine (m6A), 5-methylcytosine (5mC), or N4-methyl cytosine (4mC) in the DNA, which influence fundamental cellular processes such as DNA transactions, DNA replication, transcription, and DNA repair. These MTases, earlier thought to be a part of primitive bacterial immune system, are now considered to be active players in gene regulation. They regulate bacterial adaptability to stress by virtue of phase variation and bistability. In pathogenic species such as Mycobacterium tuberculosis (Mtb), DNA methylation driven epigenetic reprogramming influences the expression of virulence factors, antibiotic tolerance, and persistence genes. This review gives a detailed account of role of DNA methyltransferases in bacterial epigenomics influencing various cellular processes. With the development of long-read high-throughput sequencing technologies, single-base mapping of bacterial methylomes has become possible. In the latter part of the review, we talk about these advances and the integration of synthetic biology to expand the potential of methylation systems for developing biosensors and switchable gene expression platforms. These strategies can be translated into future vaccine design and precision drugs for disease control. Deciphering bacterial DNA methylation can help gain insights into microbial evolution and design innovative therapeutics for various diseases. Full article

Background: Piper is one of the largest genera in the family Piperaceae, with approximately 2100 species. Most Piper species are used as spices or as medicinal plants. Piper methysticum G. Forst., popularly known as kava-kava (or kava), is widely used to treat anxiety disorders. Due to similar morphological features, P. auritum Kunth (known as “false kava”) is sometimes mistakenly or intentionally used as an alternative botanical source for “kava” extracts. The false kava extracts do not contain active kavalactones but contain safrole, which is hepatotoxic. It is important to verify the component botanical materials in order to evaluate the quality and safety attributes of a potential botanical drug. Some studies have evaluated genetic variation in Piper sp. using the chloroplast regions matK, rbcL, rpoC1 and trnH-psbA and the nuclear ITS2 markers. However, none has focused on the identification of P. methysticum using DNA barcodes. In the present investigation, the ITS2 DNA barcode region from the nuclear genome was tested to confirm the identification and authentication of kava-kava samples. Methods: Seven P. methysticum samples were collected from three different geographic lo-cations and two P. auritum samples were collected and the ITS2 region from the nuclear genome, was amplified, sequenced and aligned to determine their genetic distances. Results: The ITS2 locus showed high amplification and sequence output with a discriminating barcode gap. A distance-based phylogenetic tree and BLAST confirmation (using blastn) revealed the ITS2 locus as a diagnostic DNA barcode for the accurate identification of kava-kava species. Discussion: In conclusion, the ITS2 region proves to be an effective and reliable DNA barcode for distinguishing P. methysticum from closely related species such as P. auritum. Its application can significantly improve the safety, quality, and traceability of kava-containing products, addressing a critical need in the standardization of botanical drugs. Full article

Recombinogenic DNA damage can initiate chromosomal rearrangements that can alter gene expression or accelerate cancer progression in higher eukaryotes. Thus, there is a critical need to identify genes that suppress chromosomal rearrangements and environmental exposures that promote genetic instability. Cell cycle checkpoints modulate the cell cycle so that DNA repair occurs before the replication or segregation of damaged chromosomes. Saccharomyces cerevisiae (budding yeast) RAD9 was the first cell cycle checkpoint gene identified, which initiated intensive research studies into the mechanisms of checkpoint activation and the phenotypes of checkpoint mutants. The budding yeast Rad9 protein serves as both an adaptor and scaffold that facilitates downstream effector activation to orchestrate a DNA damage response at multiple stages of the cell cycle, which facilitates double-strand break (DSB) repair by sister chromatid recombination. However, the role of RAD9 in homologous recombination and in suppressing gross chromosomal rearrangements (GCRs) is not completely understood. In this review we discuss how RAD9 can promote genome instability resulting from aberrant DNA replication intermediates, while suppressing DSB-associated rearrangements. We also discuss possible mechanisms accounting for the synergistic increase in genomic instability in double mutants defective in both RAD9 and recombinational repair. We emphasize that while there is an overlap between checkpoint and recombinational repair pathways, RAD9 and checkpoint pathways can function independently to suppress chromosomal instability. These studies thus elucidate checkpoint mechanisms that control homologous recombination between repeated sequences. Full article

Gut dysbiosis, defined as a disruption in the structure or function of the intestinal microbiota, is increasingly recognized as a key contributor to inflammatory, metabolic, and neuropsychiatric diseases. Conventional interventions such as broad-spectrum antibiotics, generic probiotics, and fecal microbiota transplantation (FMT) often show limited and inconsistent efficacy because they lack specificity, durability, and robust safety controls. In contrast, recent advances in DNA-based technologies are reshaping the therapeutic landscape by enabling targeted, programmable, and mechanistically informed modulation of the gut ecosystem. This review presents an integrated overview of three major domains driving this shift: CRISPR-based systems that selectively delete, silence, or reprogram microbial genes; synthetic biology-driven live therapeutics engineered to sense disease-associated cues and execute controlled responses; and metagenomics-informed strategies that tailor interventions to patient-specific microbial gene profiles and functional deficits. Additionally, we examine the continued evolution of FMT toward DNA-optimized workflows and defined microbial consortia that offer safer, more standardized alternatives to crude donor material. Across these domains, we discuss delivery platforms (including bacteriophages, conjugative plasmids, extracellular vesicles, and synthetic nanoparticles), and compare their efficiency, specificity, and scalability. We further highlight how DNA-guided interventions interface with host immunity—shaping Treg/Th17 balance, mucosal barrier function, and inflammatory signaling—while also analyzing ecological and evolutionary risks, biocontainment strategies, and regulatory classification gaps that will govern clinical translation. Together, these developments signal a transition from empirical microbiome manipulation to rational ecosystem engineering. DNA-guided therapies hold strong promise for precise and personalized management of gut-related diseases, but their success will depend on rigorous ecological risk assessment, long-term monitoring, and adaptive regulatory frameworks alongside continued technological innovation. Full article

Background/Objectives: Exposure of cells to ionizing radiation induces isolated DNA lesions, including single-strand breaks, apurinic/apyrimidinic sites, and oxidized bases, as well as clustered damages of different complexity. The latter types of damage are difficult to repair, and the failure to process them accurately and efficiently is related to the induction of mutagenesis, genomic instability, cancer, and aging. Since various types of clustered lesions may occur simultaneously after radiation exposure, leading to a complex architecture of DNA damage, the study of the concomitant formation and the removal kinetics of clustered DNA damage is important to determine the mutagenic and, consequently, the carcinogenic potential of ionizing radiation. Methods: With the aim of capturing real-time coexisting lesion types and assessing the repair kinetics of clustered damages, the simultaneous determination of double-strand breaks, apurinic/apyrimidinic site clusters, and oxypurine clusters induced by γ-irradiation of Saccharomyces cerevisiae yeast cells was performed immediately after exposure and at time intervals during incubation in Liquid Holding Recovery conditions. Results: Ionizing radiation induced lethal and mutagenic events, leading to a dose-dependent linear increase in double-strand breaks, apurinic/apyrimidinic site clusters, and oxypurine clusters. The kinetic study showed that double-strand break frequencies declined during Liquid Holding Recovery, although a transient increase was detected at early time points. At 160 Gy, apurinic/apyrimidinic site clusters repair was evident, whereas at 400 Gy the frequency of damage increased before returning to the initial value at 24 h. In contrast, oxypurine clusters showed no net increase in repaired lesions over 24 h. Conclusions: The complex nature and topological characteristics of ionizing radiation-induced clustered DNA damage may influence lesion processing. Also, ionizing radiation may disrupt redox cellular homeostasis, leading to DNA damage and delayed effects. Full article

Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)/Cas9, a genome-editing technology pioneered in 2012, enables the precise correction of deleterious mutations or disruption of disease-causing genes through targeted double-strand breaks (DSBs), offering potential for treating genetic diseases. However, CRISPR/Cas9 can cause off-target cleavage at non-specific DNA sites, leading to unintended insertions or deletions (indels), which limit its safety and applicability despite ongoing improvements in specificity. Recently, prime editing (PE), an advanced CRISPR-derived technology, has been employed with a Cas9 nickase (Cas9n) fused with a reverse transcriptase and a prime editing guide RNA (pegRNA) to enable precise insertions, deletions, and transversions without inducing DSBs, thus reducing risks of indels and chromosomal aberrations. Furthermore, ongoing optimizations, such as improved pegRNA design and enhanced editing efficiency, have expanded the applications of PE in medical therapeutics, agriculture, and fundamental research. This review summarizes recent advancements in the PE system, including optimized pegRNA designs and enzyme engineering for enhanced efficiency and specificity, alongside novel delivery methods. It also evaluates cutting-edge delivery strategies, such as adeno-associated virus (AAV) vectors, lipid nanoparticles (LNPs) and novel extracellular vesicle (EV)-based systems, and explores PE applications in vitro and in vivo, including disease modeling and therapeutic gene correction. Full article

Background: Gametophytic self-incompatibility (GSI) controlled by a multi-allelic S-locus, is inferred to have evolved before the spilt of the Rosidae and Asteridae. In Rosaceae, molecular characterisation of the genera Prunus and Malus reveals that different numbers of genes determine GSI specificity. In Prunus, one pistil-expressed (female) gene and one pollen (male) gene encode a series of stylar RNase (S-RNase) alleles and series of S-haplotype-specific F-box (SFB) alleles, respectively, thereby determining the female and male specificity. In contrast, in Malus, GSI specificity is controlled by one pistil gene and multiple pollen genes, known as SFB-brothers (SFBBs), which encode a series of S-RNase and SFBB alleles, respectively, within the S-locus, to determine female and male specificity. Despite these advances, the molecular mechanisms of these two genera remain largely unknown, and it is still uncertain how GSI originated or which factors shape the orientation, evolution, and function of the S-locus. Methods: Therefore, in this study, we applied a holistic integrative approach combining analyses of gene distribution, phylogenetic inference, biogeographic history, selective pressures, co-evolution, and protein interaction networks across three Prunus genomes (P. dulcis, P. persica, and P. avium) to elucidate the evolutionary forces driving sexual diversity and molecular specificity of GSI within the Rosaceae. Results: Our results indicated that rapid diversification of the Prunus S-locus was due to the repeated duplication events in the SFB, SLF, and S-RNase genes producing both functional and non-functional duplicates. Conclusions: In Rosaceae, diversity of S-locus mechanisms is shaped by lineage-specific selection, functional divergence, co-evolution of pistil- and pollen-expressed components, dynamic protein-interaction networks, geological history and climatic change. Full article

Sudden Infant Death Syndrome (SIDS) continues to be one of the most challenging and tragic causes of infant mortality in developed countries. While public health interventions have reduced its prevalence, the underlying mechanisms contributing to SIDS remain largely unclear. The biological basis of SIDS is widely believed to be multifactorial in nature, involving inherited genetic vulnerabilities, including mutations in cardiac ion channels and genes associated with brainstem serotonin function, metabolic enzymes, and inflammatory mediators. This review presents a comprehensive analysis of genetic studies relating to SIDS, incorporating recent findings from molecular autopsies, genome-wide association studies and functional assays. It also explores how gene–environment interactions, polygenic risk scores, and multi-omic strategies are reshaping our understanding of this complex condition. The review aims to integrate recent insights from molecular autopsy, genomic profiling, and gene–environment interactions to offer a framework for better risk assessment and the stratification of vulnerable infants who could benefit from targeted clinical and public health interventions. Full article

A/T(U) and G/C nucleobase pair formation in DNA and RNA is crucial to numerous fundamental biological processes, including replication, transcription, and translation. The specificity of A/T(U) and G/C base pairing is used for the recognition of complementary sequences in medical and biotechnological applications, such as PCR, nucleic acid drugs, and CRISPR–Cas9-based gene editing. It is essential to understand and predict fidelity of biological reactions, avoiding off-target binding, in order to improve the accuracy and efficacy of applications. In particular, recognition mechanisms of complementary bases or whole sequences must be understood in detail. Despite the prevailing view that Watson–Crick hydrogen bonding is a primary mechanism for complementary base recognition, several experiments have shown that DNA polymerase does not require hydrogen bonding to select complementary bases. Other factors, such as the shape and geometric fitting of the bases and the base stacking, also appear to be crucially involved in the selection. E.g., artificial bases lacking the ability to form hydrogen bonds can still be recognized by DNA polymerase solely based on base-pair geometry. However, hydrogen bonding also contributes importantly to recognition. The accuracy of selecting a complementary nucleobase or sequence varies depending on reactions, suggesting the co-existence of multiple selection mechanisms. This review provides an overview of biological processes and applications involving base pairing and discusses the molecular mechanism underlying complementary base recognition. Full article

Left ventricular noncompaction cardiomyopathy (LVNC) is characterised by a two-layered ventricular wall with prominent trabeculations and deep recesses adjacent to a thinned compact layer. The phenotype spans from incidental findings to severe heart failure and malignant arrhythmias. More than 190 genes belonging to sarcomeric, cytoskeletal, mitochondrial, transcriptional and signalling pathways have been implicated, although only a subset reaches high gene disease validity in contemporary frameworks. Objectives: (i) Delineate the validated genetic landscape of LVNC; (ii) integrate developmental biology with cardiac genomics; (iii) translate genotype knowledge into diagnostic, prognostic and therapeutic guidance; (iv) outline a research agenda for precision cardiology. Methods: A narrative, pathway-oriented review of human and experimental studies (2000–July 2024). Results: Thirty-two genes meet definitive/strong validity thresholds and cluster in five biological networks. Oligogenic constellations account for ~4% of probands in recent cohorts. Imaging correlates (especially quantitative trabecular complexity and diffuse fibrosis metrics) provide complementary risk information. Conclusions: LVNC represents a convergence phenotype triggered by perturbations across developmental and structural networks; clinical management benefits from integrated genomics–imaging workflows and mechanism-informed trial design. Full article

Background/Objectives: Strain-level detection of bacteria is essential for applications such as diagnostics, food safety, and microbial monitoring. While 16S rRNA gene sequencing provides genus- or species-level resolution, it cannot reliably discriminate closely related strains. Whole-genome sequencing (WGS) offers high-resolution strain differentiation but remains impractical for routine detection due to cost and analytical complexity. This study aims to enable the translation of WGS data into accurate and cost-effective strain-specific PCR assays. Methods: We developed Erimin, a modular, shell-based bioinformatics pipeline for the automated identification of strain-specific genomic regions from short-read WGS data. Erimin systematically analyzes all available reference genomes for a given bacterial species in combination with sequencing data from a target strain. The workflow integrates reference-based read alignment, extraction of unmapped reads, de novo assembly, contig filtering and validation, genome annotation, and in silico PCR primer design and specificity evaluation. Results: Erimin was applied to Lactiplantibacillus pentosus whole-genome sequencing data to identify genomic regions specific to strain L33 through comparative analysis against a comprehensive set of reference genome assemblies representing multiple Lactiplantibacillus species. These regions were used for in silico PCR primer design and computational specificity assessment against non-target bacterial genomes, supporting discrimination of closely related strains. Conclusions: Erimin provides a structured computational approach for identifying strain-specific genomic regions from WGS data and for supporting the in silico design of PCR primers. This framework facilitates strain-level discrimination using targeted molecular assays. Full article

Background/Objectives: Forensic entomology remains an underutilized discipline within forensic medicine, particularly in Poland, where it is primarily applied to post-mortem interval (PMI) estimation. Recent studies indicate that insect-derived material may also hold value in the identification of human remains. Methods: In this pilot study, we assess whether blow fly larvae fed on human blood retain amplifiable human DNA, including Y-DNA. Larvae were reared on blood obtained from four volunteers and collected at the third instar stage seven days after oviposition. Human DNA quantification, degradation assessment, and STR/Y-STR profiling were performed. Results: Despite the deliberately small, exploratory sample size, all larval samples yielded complete and concordant STR and, where applicable, Y-STR profiles matching the respective reference donors. Conclusions: These preliminary findings indicate the potential utility of larvae as an alternative biological substrate in forensic contexts, particularly when conventional tissues are unavailable or degraded. However, the results should be interpreted cautiously and require validation in larger, systematically controlled studies before any routine forensic application can be recommended. Full article

Faithful DNA replication is essential for genome stability but is constantly challenged by metabolic and oxidative stresses. Hydroxyurea (HU), a widely used antiproliferative drug, is traditionally known to inhibit ribonucleotide reductase and deplete dNTP pools. Recent studies, especially in Saccharomyces cerevisiae, reveal that HU-induced replication stress also arises from reactive oxygen species (ROS), which oxidize DNA, impair iron–sulfur-dependent replication enzymes, and disrupt replisome function. These combined effects promote helicase–polymerase uncoupling, accumulation of RPA-coated ssDNA, and activation of the Mec1–Rad53 (ATR–CHK1) checkpoint, leading to strand-specific changes such as PCNA unloading and reduced lagging-strand synthesis. When protective pathways are overwhelmed, HU-treated forks collapse, generating chromosome breaks and genome instability. This review summarizes current understanding of how HU remodels replication forks through both ROS-dependent and ROS-independent pathways and highlights emerging insights into how these mechanisms influence genome stability and may be exploited for therapeutic benefit. Full article

Human papillomavirus (HPV) infection is a leading cause of cervical cancer and a significant contributor to anogenital and oropharyngeal malignancies worldwide. While the oncogenic functions of HPV oncoproteins E6 and E7 in disrupting nuclear tumor suppressor pathways are well established, their influence on mitochondrial biology has only recently emerged as a critical facet of HPV-driven carcinogenesis. This review synthesizes current evidence on the qualitative and quantitative alterations of mitochondrial DNA (mtDNA) and their functional consequences in HPV-associated cancers. We discuss how E6 and E7 modulate mitochondrial dynamics, bioenergetics, and redox balance, contributing to metabolic reprogramming, resistance to apoptosis, and adaptation to tumor microenvironmental stress. We also examine the clinical significance of mtDNA mutations, deletions, and copy number variations as potential biomarkers for diagnosis, prognosis, and therapy response. Advances in multi-omics approaches, high-throughput sequencing, and patient-derived organoid models have accelerated the exploration of mitochondria as therapeutic targets. Integrating mitochondrial profiling into HPV-related cancer research holds promise for identifying novel metabolic vulnerabilities and guiding the development of mitochondria-directed treatment strategies. Full article

Background/Objectives: In recent years, short DNA duplexes have been studied as promising self-assembling systems and versatile building blocks for DNA-based nanotechnologies. Numerical simulations of colloidal systems incorporating such components require, as an input ingredient, reliable yet simplified force-fields capable of capturing the essential features of duplex-duplex interactions. Methods: We employed the coarse-grained SIRAH force field under an implicit solvent approximation to investigate the interactions between a pair of short, rigid double-stranded DNA (dsDNA) duplexes. We investigated the effect of duplex size by employing duplexes of 8 and 20 base pairs. Results: Using this realistic coarse-grained model, we obtained detailed insights into how the interaction force depends on the relative positions and orientations of the duplexes, as well as on salt concentration. Conclusions: Our findings provide a foundational step toward the systematic development of simplified, yet qualitatively accurate model potentials for DNA-based colloidal systems. Beyond nanotechnology, the short-range interaction features captured here are also relevant to biological contexts, including chromatin compaction, homologous recombination, and DNA repair. Full article

This review aims to provide a broad, multidisciplinary perspective on how dynamic genomics and systems biology are transforming modern healthcare, with a focus on cancer especially liver cancer (HCC). It explains how integrating multi-omics technologies such as genomics, transcriptomics, proteomics, interactomics, metabolomics, and spatial transcriptomics deepens our understanding of the complex tumor environment. These innovations enable precise patient stratification based on molecular, spatial, and functional tumor characteristics, allowing for personalized treatment plans. Emphasizing the role of regulatory networks and cell-specific pathways, the review shows how mapping these networks using multi-omics data can predict resistance, identify therapeutic targets, and aid in the development of targeted therapies. The approach shifts from standard, uniform treatments to flexible, real-time strategies guided by technologies such as liquid biopsies and wearable biosensors. A case study showcases the benefits of personalized therapy, which integrates epigenetic modifications, checkpoint inhibitors, and ongoing multi-omics monitoring in a patient with HCC. Future innovations, such as cloud-based genomic ecosystems, federated learning for privacy, and AI-driven data analysis, are also discussed to enhance decision-making and outcomes. The review underscores a move toward predictive and preventive healthcare by integrating layered data into clinical workflows. It reviews ongoing clinical trials using advanced molecular and immunological techniques for HCC. Overall, it promotes a systemic, technological, and spatial approach to cancer treatment, emphasizing the importance of experimental, biochemical–functional, and biophysical data-driven insights in personalizing medicine. Full article

Familial cancers are caused by inherited mutations in specific genes that regulate cell growth, division, and repair. Approximately 5–10% of all cancer cases have a hereditary component, where germline mutations in certain genes increase an individual’s susceptibility to developing cancer. Two major categories of genes are involved in cancer development: tumour suppressor genes and oncogenes. Both play critical roles in regulating normal cell behaviour, and when mutated, they can contribute to uncontrolled cell proliferation and tumour formation. In addition to genetic mutations, epigenetic alterations also play a significant role in familial cancer. Epigenetics refers to changes in gene expression due to DNA methylation, histone modifications, and the dysregulation of non-coding RNAs without alter the underlying DNA sequence. Familial cancer syndromes follow various inheritance patterns, including autosomal dominant, autosomal recessive, X-linked, and mitochondrial inheritance, each with distinct characteristics. Identifying genetic mutations associated with familial cancers is a cornerstone of genetic counselling, which helps individuals and families navigate the complex intersection of genetics, cancer risk, and prevention. Early identification of mutations enables personalized strategies for risk reduction, early detection, and, when applicable, targeted treatment options, ultimately improving patient outcomes. Full article

Background/Objectives: Traditional semen analysis techniques frequently result in incorrect male infertility diagnoses, despite advancements in assisted reproductive technology (ART). Reduced fertilization potential, decreased embryo development, and lower pregnancy success rates are associated with elevated DNA Fragmentation Index (DFI), which has been proposed as a diagnostic indicator of sperm DNA integrity. Improving reproductive outcomes requires incorporating DFI into predictive models due to its diagnostic importance. Methods: In this study, semen samples were stratified into low and high DFI groups across two datasets: the “Reference” dataset (162 samples) containing sperm motility (A, B, and C), total sperm count, and morphology percentage, and the “ORP” dataset (37 samples) with the same features plus oxidation-reduction potential (ORP). We trained and evaluated four machine learning (ML) models—Logistic Regression, Support Vector Machines (SVM), Bernoulli Naive Bayes (BNB), and Random Forest (RF)- using three feature subsets and three preprocessing techniques (Robust Scaling, Min-Max Scaling, and Standard Scaling). Results: Feature subset selection had a significant impact on model performance, with the full feature set (X_all) yielding the best results, and the combination of Robust and MinMax scaling forming the most effective preprocessing pipeline. Conclusions: ORP proved to be a critical feature, enhancing model generalization and prediction performance. These findings suggest that data enrichment, particularly with ORP, could enable the development of ML frameworks that improve prognostic precision and patient outcomes in ART. Full article

The emerging field of dermatogenomics, which examines visible dermatologic phenotypes alongside their polygenic factors, offers insights for early disease recognition and initiation of preventative measures. This review explores key dermatologic manifestations serving as clinical markers of systemic diseases, emphasizing cardiovascular, autoimmune, neuropsychiatric, metabolic/endocrine, and cancer-related conditions. Importantly, the pathogenesis of certain skin conditions including psoriasis, atopic dermatitis, vitiligo, and hidradenitis suppurativa is linked to systemic disease through shared genetic and epigenetic mechanisms. The diagnostic markers for these integumentary diseases are discussed alongside their shared mechanisms to systemic diseases, highlighting the clinical manifestation typically seen in primary care settings. This narrative review integrates dermatology with genomics, primary care, preventative care, public health, and internal medicine perspectives, underscoring the importance of an interdisciplinary and collaborative approach to patient care. Lastly, this review advocates for standardized dermatogenomic screening thresholds, inclusivity and expansion of genomic datasets, and the leverage of artificial intelligence and multi-omic technologies in preventative healthcare. Full article

In animals and humans, nutrients influence signaling cascades, transcriptional programs, chromatin dynamics, and mitochondrial function, collectively shaping traits related to growth, immunity, reproduction, and stress resilience. This review synthesizes evidence supporting nutrient-mediated regulation of DNA methylation, histone modifications, non-coding RNAs, and mitochondrial biogenesis, and emphasizes their integration within metabolic and developmental pathways. Recent advances in epigenome-wide association studies (EWAS), single-cell multi-omics, and systems biology approaches have revealed how diet composition and timing can reprogram gene networks, sometimes across generations. Particular attention is given to central metabolic regulators (e.g., PPARs, mTOR) and to interactions among methyl donors, fatty acids, vitamins, and trace elements that maintain genomic stability and metabolic homeostasis. Nutrigenetic evidence further shows how genetic polymorphisms (SNPs) in loci such as IGF-1, MSTN, PPARs, and FASN alter nutrient responsiveness and influence traits like feed efficiency, body composition, and egg quality, information that can be exploited via marker-assisted or genomic selection. Mitochondrial DNA integrity and oxidative capacity are key determinants of feed conversion and energy efficiency, while dietary antioxidants and mitochondria-targeted nutrients help preserve bioenergetic function. The gut microbiome acts as a co-regulator of host gene expression through metabolite-mediated epigenetic effects, linking diet, microbial metabolites (e.g., SCFAs), and host genomic responses via the gut–liver axis. Emerging tools such as whole-genome and transcriptome sequencing, EWAS, integrated multi-omics, and CRISPR-based functional studies are transforming the field and enabling DNA-informed precision nutrition. Integrating genetic, epigenetic, and molecular data will enable genotype-specific feeding strategies, maternal and early-life programming, and predictive models that enhance productivity, health, and sustainability in poultry production. Translating these molecular insights into practice offers pathways to enhance animal welfare, reduce environmental impact, and shift nutrition from empirical feeding toward mechanistically informed precision approaches. Full article

The cannabinoid receptor type 2 (CB₂) is increasingly recognized as a crucial regulator of neuroimmune balance in the brain. In addition to its well-established role in immunity, the CB₂ receptor has been identified in specific populations of neurons and glial cells throughout various brain regions, and its expression is dynamically increased during inflammatory and neuropathological conditions, positioning it as a potential non-psychoactive target for modifying neurological diseases. The expression of the CB₂ gene (CNR2) is finely tuned by epigenetic processes, including promoter CpG methylation, histone modifications, and non-coding RNAs, which regulate receptor availability and signaling preferences in response to stress, inflammation, and environmental factors. CB₂ signaling interacts with TRP channels (such as TRPV1), nuclear receptors (PPARγ), and orphan G Protein-Coupled Receptors (GPCRs, including GPR55 and GPR18) within the endocannabinoidome (eCBome), influencing microglial characteristics, cytokine production, and synaptic activity. We review how these interconnected mechanisms affect neurodegenerative and neuropsychiatric disorders, underscore the species- and cell-type-specificities that pose challenges for translation, and explore emerging strategies, including selective agonists, positive allosteric modulators, and biased ligands, that leverage the signaling adaptability of the CB₂ receptor while reducing central effects mediated by the CB₁ receptor. This focus on the neuro-centric perspective repositions the CB₂ receptor as an epigenetically informed, context-dependent hub within the eCBome, making it a promising candidate for precision therapies in conditions featuring neuroinflammation. Full article

Background/Objectives: Goat and sheep farming is an important agro-economic resource in Benin. However, their milk is both underutilized and insufficiently characterized, which limits the development of innovative dairy products and raises concerns about its safety. Against this backdrop, our pioneering study set out to investigate, for the first time in Benin and using an advanced metagenomic approach, the microbial diversity present in goat and sheep raw milk. The aim was to lay the groundwork for safer and more efficient dairy valorization. Methods: To achieve this, metagenomic DNA was extracted from 20 pooled milk samples representing both animal species, followed by shotgun sequencing. Results: Analyses revealed seven dominant phyla: Bacillota (17.44–27.23%), Pseudomonadota (12.39–15.55%), Campylobacterota (3.65–5.29%), Actinomycetota (1.47–6.03%), Spirochaetota (1.14–2.02%), Apicomplexa (0.28–0.50%), and Bacteroidota (0.17–0.22%) in the raw milk of both species. However, their proportions differ. Bacillota, which was the most dominant in both types of milk, was significantly more abundant in goat (27.23 ± 5.33) than in sheep milk (17.44 ± 8.44). In sheep milk, Enterobacteriaceae (11.36 ± 5.79) were the most predominant family, followed by Streptococcaceae (5.57 ± 2.29) and Staphylococcaceae (4.51 ± 3.63). Goat milk, on the other hand, presents a different hierarchy. Streptococcaceae (6.65 ± 2.19) and Staphylococcaceae (6.43 ± 2.33) were the most abundant families, surpassing Enterobacteriaceae (5.33 ± 1.66). The genus Escherichia was the most abundant in sheep milk (6.18 ± 5.33). The genera Staphylococcus (4.50 ± 3.63) and Streptococcus (5.05 ± 1.98) were also present. In contrast, in goat milk, the genera Streptococcus (6.54 ± 2.35) and Staphylococcus (6.42 ± 2.32) were the most dominant, while the average abundance of Escherichia was much lower (1.98 ± 1.28). In terms of species, Sheep milk was dominated by Escherichia coli (6.14 ± 5.28) and Staphylococcus aureus (5.17 ± 2.28) while Klebsiella pneumoniae (2.82 ± 1.72), Streptococcus pneumoniae (1.92 ± 1.36), and Campylobacter coli (1.52 ± 1.27) were also found. In addition to a relatively high abundance of Staphylococcus aureus (6.40 ± 2.45), goat milk was characterized by the presence of Corynebacterium praerotentium (5.32 ± 2.28) and Clostridium perfringens (3.39 ± 2.09). Additional pathogens identified included Clostridioides difficile (1.17–2.00%), Clostridium botulinum (0.27–0.43%), Listeria monocytogenes, Mycobacterium tuberculosis, Helicobacter pylori (0.36–0.62%), Salmonella enterica (0.22–0.26%). As for fungi, Ascomycota were predominant, with the presence of Aspergillus fumigatus, Saccharomyces cerevisiae, Trichophyton mentagrophytes, and Candida auris. Moreover, lactic acid bacteria with technological interest such as Oenococcus oeni (0.60–0.97%), Levilactobacillus namurensis (0.25–0.44%), Lactobacillus agrestimuris, and Lacticaseibacillus rhamnosus were also detected. Conclusions: These findings provide essential insights into the technological potential and health risks associated with these milks, which are key to developing safer and more efficient local dairy value chains. Full article

CRISPR-based transcriptional regulation technologies, including CRISPR activation (CRISPRa) and CRISPR interference (CRISPRi), offer precise and programmable control over gene expression, representing a major advance in gene and epigenetic therapy. CRISPRa uses nuclease-inactive Cas proteins fused to transcriptional activators to upregulate target genes, while CRISPRi employs repressor domains for gene silencing. Preclinical studies have demonstrated the efficacy of CRISPRa/i in models of metabolic, neurological, muscular, and oncological diseases. Notably, CRISPRi-based therapies have entered clinical trials for conditions like hepatitis B and muscular dystrophy, showing encouraging safety and efficacy profiles. Despite ongoing challenges related to delivery efficiency, immunogenicity, and off-target activity, innovations in protein engineering and guide RNA design are rapidly enhancing the precision and safety of these technologies. Overall, CRISPRa and CRISPRi are poised to transform the treatment of genetic and epigenetic disorders, with continued optimization expected to accelerate their clinical adoption and broaden their therapeutic impact. Full article

Resistance exercise (RE) is a well-known modality to increase skeletal muscle strength and hypertrophy. While both high-load (HL) and low-load (LL) RE stimulate skeletal muscle growth, the effects of RE load on androgen-regulated genes remain unclear. Further, the relationship between circulating and intramuscular androgen-associated targets and muscular strength and mass has not been well defined. Purpose: This investigation therein aimed to examine acute gene and hormone responses to volume- and intensity-equated RE at different loads, examining their relationships with lean body mass (LBM), strength, and circulating and intramuscular androgen-related biomarkers. Methods: Ten resistance-trained males completed one-repetition maximum (1RM) testing, as well as body composition testing, before two volume- and intensity-equated RE sessions, separated by a 7–10 day crossover period. Serum and skeletal muscle samples were collected at baseline, 3 h, and 24 h post-exercise to assess testosterone (TST), dihydrotestosterone (DHT), AR protein, AR mRNA, and AR–DNA binding. Pearson correlations evaluated any potential associations between LBM, strength, and androgen/AR biomarkers. Results: Training load did not significantly impact gene expression, but time effects were observed, whereby MyoD peaked 3 h post-exercise (2.03 ± 1.64 fold; p = 0.005), while AR mRNA decreased at 24 h (0.54 ± 0.42 fold; p = 0.021) versus baseline. LBM also correlated with bench press (r = 0.607, p = 0.048) and leg press (r = 0.705, p = 0.015) 1RM. Serum total TST correlated with leg press 1RM (r = 0.909, p = 0.012), while serum-free TST correlated with AR mRNA fold-change (r = 0.392, p = 0.001) and AR–DNA binding (r = 0.287, p = 0.021). Intramuscular DHT correlated with intramuscular TST (r = 0.415, p < 0.001) and AR protein (r = 0.421, p < 0.001). Lastly, fold changes in AR mRNA were correlated with MyoD mRNA fold changes (r = 0.785, p = 0.007) along with IGF1-Ea mRNA fold changes being significantly correlated with both myogenin mRNA fold changes (r = 0.865, p = 0.001) and AR-DNA binding (r = −0.727, p = 0.017). Conclusions: Despite no observable load-specific effects, RE elicited time-dependent increases in MyoD and AR mRNA expression. This reinforces prior LBM and maximal muscular strength relationship evidence whilst also lending new insights into circulating and intramuscular androgen interactions with AR. Full article

Best known as an organizer of the mitotic spindle, the protein product of the human assembly factor for spindle microtubules (ASPM) gene has recently been shown to function in the interphase nucleus during multiple DNA-associated processes, including BRCA1-mediated DNA DSB repair, ATR-CHK1 activation during replication stress, and transcription regulation alongside the transcription factor FOXM1. In this review, we provide an overview of these DNA-related roles of ASPM. Additionally, we suggest the facilitation of liquid–liquid phase separation (LLPS) as a potential unifying mechanism underlying ASPM function. We also consider the implications of LLPS and ASPM dysfunction in disease, and highlight the impact of cellular context including cell cycle phase-dependent post-translational protein modifications and ion concentrations. An increased understanding of LLPS in ASPM function relevant to genome stability may enable future drug discovery for diseases such as cancer. Full article

Myalgic Encephalomyelitis (ME), also known as chronic fatigue syndrome (CFS), is a debilitating and heterogeneous disorder marked by persistent fatigue, post-exertional malaise, cognitive impairment, and multisystem dysfunction. Despite its prevalence and impact, the molecular mechanisms underlying ME remain poorly understood. This review synthesizes current evidence on the role of DNA, both nuclear and mitochondrial, in the susceptibility and pathophysiology of ME. We examined genetic predispositions, including familial clustering and candidate gene associations, and highlighted emerging insights from genome-wide and multi-omics studies. Mitochondrial DNA variants and oxidative stress-related damage are discussed in relation to impaired bioenergetics and symptom severity. Epigenetic modifications, particularly DNA methylation dynamics and transposable element activation, are explored as mediators of gene–environment interactions and immune dysregulation. Finally, we explored the translational potential of DNA-based biomarkers and therapeutic targets, emphasizing the need for integrative molecular approaches to advance diagnosis and treatment. Understanding the DNA-associated mechanisms in ME offers a promising path toward precision medicine in post-viral chronic diseases. Full article

Background/Objectives: DNA interstrand cross-links (ICLs) mark one of the most deleterious lesions that can preclude strand separation required for essential cellular processes. Efforts to discover ICL-inducing agents and endogenous substrates for ICL repair pathways have led to the identification of structurally diverse ICLs produced by reactive aldehydes and abasic sites, among others. While several studies point to UV rays as ICL-inducing agents, UV ray-induced ICL formation from biologically relevant DNA lesions has been rarely reported. We conjectured that solar radiation-induced reactive oxygen species may give rise to ICLs via further oxidation of DNA lesions with lower redox potential (e.g., 8-oxoadenine (oxoA)). Here, we present the discovery of ICL production via light-induced modification of the major oxidative adenine lesion oxoA. Methods/Results: In the absence of a photosensitizer, both UVC and UVB rays, but not UVA and visible rays, trigger the formation of oxoA-G ICLs, albeit in low yields. By contrast, the inclusion of the naturally occurring photosensitizer riboflavin in the cross-linking reaction makes UVA and visible rays readily generate oxoA-G ICLs, suggesting solar radiation facilitates the formation of oxoA ICLs in vivo. Conclusions: The plausible oxoA-G ICL formation mechanism concerns the further oxidation of oxoA into an iminoquinone, followed by the nucleophilic attack of the opposite guanine on the iminoquinone. OxoA-G ICLs represent rare examples of ICLs produced by photosensitization. These results will contribute to the discovery of a novel form of ICLs induced by solar radiation. Full article

Glucosinolates (GSLs) are nitrogen- and sulfur-containing secondary metabolites central to the defense, development, and environmental responsiveness of Brassicaceae species. While the enzymatic steps and transcriptional networks underlying GSL biosynthesis have been extensively characterized, mounting evidence reveals that chromatin-based processes add a critical, yet underexplored, layer of regulatory complexity. Recent studies highlight the roles of DNA methylation, histone modifications, and non-coding RNAs in modulating the spatial and temporal expression of GSL biosynthetic genes and their transcriptional regulators in response to developmental cues and environmental signals. This review provides a comprehensive overview of GSL classification, biosynthetic pathway architecture, transcriptional regulation, and metabolite transport, with a focus on emerging epigenetic mechanisms that shape pathway plasticity. We also discuss how these insights may be leveraged in precision breeding and epigenome engineering, including the use of CRISPR/dCas9-based chromatin editing and epigenomic selection, to optimize GSL content, composition, and stress resilience in cruciferous crops. Integrating transcriptional and epigenetic regulation thus offers a novel framework for the dynamic control of specialized metabolism in plants. Full article

Background/Objectives: Environmental DNA (eDNA) is increasingly recognised as a powerful molecular tool for biodiversity monitoring, enabling the detection of species through trace genetic material found in environmental samples. This study investigates the utility of eDNA analysis for identifying vertebrate marine species in the central Mediterranean, with a focus on taxa that serve as ecological indicators to local ecosystems. Methods: Seawater samples were collected from nine sites around the Maltese Islands between May and August 2021, at depths ranging from 2 to 5 m. Samples were filtered and DNA was extracted, amplified and sequenced. The resulting sequences were processed through a bioinformatics pipeline, clustered into molecular operational taxonomic units (MOTUs) and assigned taxonomic identities using reference databases. Results: This study led to the detection of 70 MOTUs, including ecologically important species such as the loggerhead turtle (Caretta caretta), the striped dolphin (Stenella coeruleoalba) and the bottlenose dolphin (Tursiops truncatus), underscoring the method’s effectiveness in the detection of taxa of conservation value. Additionally, we detected a number of overlooked Blenniidae and Gobiidae taxa and deep-water or rarely encountered species such as the ocean sunfish (Mola mola), Cornish blackfish (Schedophilus medusophagus), Haifa grouper (Hyporthodus haifensis) and Madeira lantern fish (Ceratoscopelus maderensis). eDNA of the invasive dusky spinefoot (Siganus luridus) and that of the lumpfish (Cyclopterus lumpus), a species not previously recorded in Maltese waters, was also detected during this study. The latter’s detection highlights the potential of this methodology as an early detection tool for biological invasions. Conclusions: These findings support the integration of eDNA surveillance into marine biodiversity monitoring frameworks, particularly within marine protected areas to monitor native indicator taxa and assess the effectiveness of conservation measures, but also in ports and bunkering zones, where the risk of alien species introduction is elevated, with potential subsequent invasive species expansion that impacts native species and habitats. Full article

Background/Objectives: Mutations in NACHT, LRR and PYD domain-containing protein 2 (NLRP2) and NLRP7 genes, members of the NOD-like receptor (NLR) family of innate immune sensors, result in recurrent miscarriages and reproductive wastage in women. These genes have been identified to be maternal effect genes in humans and mice regulating early embryo development. Previous research in vitro suggests that NLRP2 and NLRP7 regulate DNA methylation and/or immune signaling through inflammasome formation. However, the exact mechanisms underlying NLRP2 and NLRP7 function are not well defined. Methods: To determine the interacting proteins required for NLRP2/NLRP7-mediated regulation of DNA methylation, yeast 2-hybrid screens, coimmunoprecipitation, and FRET studies were performed and verified the ability of novel protein interactions to affect global DNA methylation by 5-methylcytosine-specific ELISA. Results: Various methodologies employed in this research demonstrate a novel protein interaction between human ErbB3-binding protein 1 (EBP1, also known as proliferation-associated protein 2G4 (PA2G4) and NLRP2 or NLRP7. In addition, NLRP2 and NLRP7 regulate EBP1 gene expression. Functionally, global DNA methylation levels appeared to decrease further when NLRP2 and NLRP7 were co-expressed with EBP1, although additional studies may need to confirm the significance of this effect. Conclusions: Since EBP1 is implicated in apoptosis, cell proliferation, DNA methylation, and differentiation, our discovery significantly advances our understanding of how mutations in NLRP2 or NLRP7 may contribute to reproductive wastage in women through EBP1. Full article

Plants have evolved a complex, multilayered immune system that integrates molecular recognition, signaling pathways, epigenetic regulation, and small RNA-mediated control. Recent studies have shown that DNA-level regulatory mechanisms, such as RNA-directed DNA methylation (RdDM), histone modifications, and chromatin remodeling, are critical for modulating immune gene expression, allowing for rapid and accurate pathogen-defense responses. The epigenetic landscape not only maintains immunological homeostasis but also promotes stress-responsive transcription via stable chromatin modifications. These changes contribute to immunological priming, a process in which earlier exposure to pathogens or abiotic stress causes a heightened state of preparedness for future encounters. Small RNAs, including siRNAs, miRNAs, and phasiRNAs, are essential for gene silencing before and after transcription, fine-tuning immune responses, and inhibiting negative regulators. These RNA molecules interact closely with chromatin features, influencing histone acetylation/methylation (e.g., H3K4me3, H3K27me3) and guiding DNA methylation patterns. Epigenetically encoded immune memory can be stable across multiple generations, resulting in the transgenerational inheritance of stress resilience. Such memory effects have been observed in rice, tomato, maize, and Arabidopsis. This review summarizes new findings on short RNA biology, chromatin-level immunological control, and epigenetic memory in plant defense. Emerging technologies, such as ATAC-seq (Assay for Transposase-Accessible Chromatin using Sequencing), ChIP-seq (Chromatin Immunoprecipitation followed by Sequencing), bisulfite sequencing, and CRISPR/dCas9-based epigenome editing, are helping researchers comprehend these pathways. These developments hold an opportunity for establishing epigenetic breeding strategies that target the production of non-GMO, stress-resistant crops for sustainable agriculture. Full article

Background/Objectives: Intrinsically disordered protein regions (IDRs) are difficult to study due to their flexible nature and transient interactions. Computational folding using AlphaFold may offer one way to explore potential folding of these regions under various conditions. Human DNA topoisomerase IIα (TOP2A) is an essential enzyme involved in regulating DNA topology during replication and cell division. TOP2A has an IDR at the C-terminal domain (CTD) that has been shown to be important for regulating TOP2A function, but little is known about potential conformations that it may undertake. Methods: Utilizing the AlphaFold 3 (AF3) model by way of AlphaFold Server, TOP2A was folded as a dimer first without and then with 29 literature-supported post-translational modifications (PTMs) and DNA to observe whether there is predicted folding. Results: TOP2A CTD does not fold in the absence of PTMs. With the addition of PTMs, however, the CTD is predicted to fold into a globular bundle of loops and α-helices. While DNA alone did not induce folding, in the presence of PTMs, DNA ligands increased helicity of the folded CTD and caused it to interact at different core domain interfaces. In addition, DNA is predicted to enable folding of the TOP2A CTD in the presence of fewer PTMs when compared to the absence of DNA. Conclusions: AF3 predicts the folding of TOP2A CTD in the presence of specific PTMs, and this folding appears to shift to allow binding to DNA in functionally relevant regions. These studies provide predicted folding patterns that can be tested by biochemical approaches. AF3 may support the development of testable hypotheses regarding IDRs and enables researchers to model protein-DNA interactions. Full article

Background/Objectives: Astrocytoma, IDH-mutant, CNS WHO grade 3, is a diffuse glioma with poor prognosis, molecularly defined by IDH mutations and frequently co-occurring TP53 and ATRX alterations. This study aimed to delineate the genomic landscape and identify clinically relevant molecular features of astrocytoma, IDH-mutant, CNS WHO grade 3 using this resource. Methods: Patients in the American Association for Cancer Research Project Genomics Evidence Neoplasia Information Exchange (AACR Project GENIE) database were selected based on histological diagnosis of “anaplastic astrocytoma”, confirmed IDH1/2 mutation, and exclusion of CDKN2A/B homozygous deletions. We analyzed frequencies of somatic mutations, copy number alterations (CNAs), structural variants (SVs), assessed co-occurrence/exclusivity patterns, and explored associations with available demographic and limited survival data. Results: The most common somatic mutations were in IDH1 (98.0%), TP53 (94.8%), and ATRX (55.2%). The observed ATRX mutation frequency was lower than some historical reports (e.g., ~86%). Other recurrent alterations included phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA) (6.9%), Notch receptor 1 (NOTCH1) (6.9%), and platelet-derived growth factor receptor alpha (PDGFRA) (mutations 4.3%; CNAs also observed). Conclusions: This study provides a comprehensive genomic characterization of astrocytoma, IDH-mutant, CNS WHO grade 3 using the AACR GENIE database, confirming core mutational signatures while also highlighting potential variations in alteration frequencies, such as for ATRX. The findings establish a valuable real-world genomic benchmark for this tumor type, while promoting the need for continued data integration with robust clinical outcomes to identify actionable prognostic and therapeutic targets. Full article

Background/Objectives: Escherichia coli (E. coli) strains harboring virulence genes and antimicrobial resistance (AMR) pose a significant risk to poultry production and public health in Pakistan. This study aimed to isolate E. coli from poultry meat and poultry farm environments and compare their virulence gene profiles and AMR patterns. Methods: A total of 100 samples were collected, including 50 poultry meat samples from retail shops and 50 environmental samples from poultry farms. E. coli was isolated on MacConkey agar following overnight enrichment in lactose broth. Isolates were confirmed by biochemical testing and 16S rRNA gene PCR. Virulence genes (stx1, stx2, eae) were detected using multiplex PCR, and AMR profiles were assessed via the Kirby–Bauer disk diffusion method. Results: E. coli was isolated from 26 poultry meat samples (52%) and 23 poultry farm environment samples (46%). All isolates harbored at least one virulence gene, with stx2 being the most prevalent (34.62% meat; 39.13% environment), followed by stx1 (19.23% meat; 17.40% environment) and eae (11.54% meat; 13.04% environment). Combined gene patterns (stx1/eae, stx2/eae, stx1/stx2/eae) were also detected across both sources. AMR analysis revealed high resistance to cefoxitin (100% both sources), trimethoprim (57.09% meat; 60.87% environment), and ampicillin–sulbactam (42.3% meat; 52.17% environment). In contrast, isolates were completely susceptible to norfloxacin (100% meat; 95.65% environment) and exhibited high susceptibility to tetracycline (84.62% meat; 82.61% environment). Statistical comparisons using Fisher’s exact test and the Kruskal–Wallis test showed no significant differences (p > 0.05) in virulence gene prevalence or AMR patterns between poultry meat and environmental isolates. Conclusions: These findings highlight poultry farm environments as potential reservoirs for pathogenic, antimicrobial-resistant E. coli, emphasizing the risk of zoonotic transmission through contaminated poultry meat and the need for improved biosecurity measures. Full article

Background/Objectives: Circulating cell-free DNA (cfDNA) consists of genomic DNA (cf-nDNA) and mitochondrial DNA (cf-mtDNA) fragments released from cells primarily through apoptosis and necrosis. In healthy individuals, the main source of cfDNA is apoptosis, whereas in cancer patients, necrosis predominates. Considering that in vitro cfDNA models are valuable research tools, this study presents an in vitro characterization of cf-mtDNA patterns released into the culture medium by four human cell lines: normal dermal fibroblasts (Hs27), induced pluripotent stem cells (iPSCs), melanoma cells (BMel), and prostate cancer cells (PC3). Furthermore, as fetal bovine serum (FBS)—a widely used supplement in cell culture media—has been shown to contain bovine cfDNA, species-specific primers were employed to eliminate potential artifacts arising from this contamination in in vitro experiments. Methods: Fragmentation analysis of cf-mtDNA was conducted by amplifying the human MT-CYB gene and the D-loop region in four cell lines using species-specific primers. Two indices, Q and λ, were employed to quantify fragmentation. Results: These indices reveal that cancer cells exhibit the highest degree of fragmentation compared to fibroblasts, whereas stem cells show the lowest degree of fragmentation. This study identified species-specific primers for the human and bovine MT-CYB gene, confirming the presence of bovine cf-mtDNA in cell culture media supplemented with FBS. Conclusions: in vitro cellular models are useful for studying the mechanisms of cfDNA release and fragmentation; designed primers provide a reliable tool for assessing contamination across different growth time points minimizing interference errors and non-specific amplifications. Full article

Background/Objectives: Bolting in lettuce (Lactuca sativa L.) is highly sensitive to elevated temperatures, leading to premature flowering and reduced crop quality and yield. Although SUPPRESSOR OF OVEREXPRESSION OF CONSTANS 1 (SOC1) is a well-known floral integrator in Arabidopsis, its role in heat-induced bolting in lettuce remains unclear. Methods: In this study, we generated CRISPR/Cas9-mediated LsSOC1 knockout (KO) lines and evaluated their phenotypes under high-temperature conditions. Results: LsSOC1-KO lines exhibited delayed bolting up to 18.6 days, and stem elongation was reduced by approximately 3.8 cm, which is equivalent to a 36.1% decrease compared to wild-type (WT) plants. Transcriptome analysis of leaf and bud tissues identified 32 up-regulated and 10 down-regulated genes common to leaf tissue (|log₂FC| ≥ 1, adjusted p < 0.05). Among them, GA20-oxidase1 was significantly down-regulated in both tissues, which may have contributed to delayed floral transition and possibly to reduced stem elongation, although tissue-specific regulation of gibberellin metabolism warrants further investigation. In contrast, genes encoding heat shock proteins, ROS-detoxification enzymes, and flavonoid biosynthetic enzymes were up-regulated, suggesting a dual role of LsSOC1 in modulating thermotolerance and floral transition. qRT-PCR validated the sustained suppression of flowering-related genes in LsSOC1 KO plants under 37 °C heat stress. Conclusions: These findings demonstrate that LsSOC1 is a key integrator of developmental and thermal cues, orchestrating both bolting and stress-responsive transcriptional programs. Importantly, delayed bolting may extend the harvest window and improve postharvest quality in lettuce, highlighting LsSOC1 as a promising genetic target for breeding heat-resilient leafy vegetables. Full article

Background/Objectives: Inteins are mobile genetic elements invading highly conserved genes across all domains of life and viruses. Five active intein insertion sites (MCM-a through e) had previously been identified and studied in the archaeal replicative helicase minichromosome maintenance (MCM) subunit gene mcm, making MCM an ideal system for dissecting the dynamics of multi-intein genes. However, work in this system thus far has been limited to particular archaeal groups. To better understand the dynamics and diversity of these inteins, MCM homologs spanning all archaeal groups were extracted from NCBI’s non-redundant protein sequence database, and the distribution and structural architectures of their inteins were characterized. Methods: The amino acid sequences of 4243 archaeal MCM homologs were retrieved from NCBI’s non-redundant protein sequence database. These sequences were systematically assessed for their intein content through within-group multiple sequence alignments. To characterize the inteins present at each site, extensive intein structure predictions and comparisons were performed. Phylogenetic analyses were used to investigate intein relatedness between and within sites, as well as the distribution of different MCM inteins in geographically overlapping populations of archaea. Results: In total, 11 active MCM intein insertion sites were identified, expanding on the previously known five. The insertion sites have varied invasion activity levels across archaeal groups, with Nanobdellati (DPANN) being the only group with all 11 sites active. In all but two (Methanonatronarchaeia and Hadarchaeota) of the archaeal groups studied where inteins were present, at least one MCM homolog was invaded by more than one intein. With respect to intein structure, within-intein insertions bearing semblance to DNA-binding domains were identified, with varied presence between inteins. Additionally, a study of archaeal MCM sequences of samples collected from the Atacama Desert in June 2013 revealed high MCM intein diversity levels. Conclusions: We identified six new active intein insertion sites in archaeal MCM, more than doubling the five previously known sites. All eleven intein insertion sites were either close to the ATP binding site, or the lined the channel through which the single-stranded DNA is pulled during the catalytic cycle of the helicase. Many of the analyzed inteins contained insertions bearing similarity to DNA-binding helix-turn-helix domains suggesting potential involvement in the intein homing process. Additionally, the high levels of MCM intein diversity observed in archaea from the Atacama Desert provide novel and strong support for a co-existence model of intein persistence. Full article