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At least 19 recordsLinked to original sources
PubMed2024

Molecular identification of Hymenopteran insects collected by using Malaise traps from Hazarganji Chiltan National Park Quetta, Pakistan.

The order Hymenoptera holds great significance for humans, particularly in tropical and subtropical regions, due to its role as a pollinator of wild and cultivated flowering plants, parasites of destructive insects and honey producers. Despite this importance, limited attention has been given to the genetic diversity and molecular identification of Hymenopteran insects in most protected areas. This study provides insights into the first DNA barcode of Hymenopteran insects collected from Hazarganji Chiltan National Park (HCNP) and contributes to the global reference library of DNA barcodes. A total of 784 insect specimens were collected using Malaise traps, out of which 538 (68.62%) specimens were morphologically identified as Hymenopteran insects. The highest abundance of species of Hymenoptera (133/538, 24.72%) was observed during August and least in November (16/538, 2.97%). Genomic DNA extraction was performed individually from 90/538 (16.73%) morphologically identified specimens using the standard phenol-chloroform method, which were subjected separately to the PCR for their molecular confirmation via the amplification of cytochrome c oxidase subunit 1 (cox1) gene. The BLAST analyses of obtained sequences showed 91.64% to 100% identities with related sequences and clustered phylogenetically with their corresponding sequences that were reported from Australia, Bulgaria, Canada, Finland, Germany, India, Israel, and Pakistan. Additionally, total of 13 barcode index numbers (BINs) were assigned by Barcode of Life Data Systems (BOLD), out of which 12 were un-unique and one was unique (BOLD: AEU1239) which was assigned for Anthidium punctatum. This indicates the potential geographical variation of Hymenopteran population in HCNP. Further comprehensive studies are needed to molecularly confirm the existing insect species in HCNP and evaluate their impacts on the environment, both as beneficial (for example, pollination, honey producers and natural enemies) and detrimental (for example, venomous stings, crop damage, and pathogens transmission).

Humans↗
PubMed2026

Molecular identification and diversity assessment of Tyrrhenian Romulea species (Iridaceae).

Taxonomic assignments based only on morphology are often insufficient for delimiting species, particularly in complexes shaped by hybridization and polyploidy, where species boundaries are unclear. This limitation hinders progress in ecological, biogeographic and conservation research. The genus Romulea, distributed across Africa and the Mediterranean Basin, exemplifies this challenge. Despite its remarkable diversity, Mediterranean Romulea has not received much attention from genetic and molecular studies. Here, we present the first multilocus genotype analysis of Mediterranean Romulea taxa, focusing on the Tyrrhenian biogeographic province. Using target-capture sequencing with the universal Angiosperms353 kit, we generated genomic data for 272 individuals representing 18 putative taxa. Our findings reveal genetic groups that align with current taxonomy, the existence of cryptic divergence, and highlight the role of hybridization. Furthermore, analysis of intra-individual genetic diversity suggests one or several allopolyploid origins for Mediterranean Romulea. Four taxa (R. assumptionis, R. revelieri, R. ligustica, R. rollii) are consistently well differentiated across nuclear and plastid datasets, supporting their recognition as distinct species. In contrast, the widespread species R. ramiflora and R. columnae contain well-differentiated groups that may represent cryptic speciation. Several other taxa, including R. x melitensis, R. corsica, and R. bulbocodium, exhibit genomic signatures consistent with hybrid origins. Plastid and nuclear variation patterns are consistent with a hypothesis of rapid radiation in the Tyrrhenian region. These results provide a primary genomic framework for the integrative taxonomy of Romulea.

Genetic Variation↗
PubMed1978

Molecular identification of a surface structure on B cells (Lyb-3) and its relationship to B cell triggering.

Lactoperoxidase-catalyzed radioiodination of cell surface proteins and immunochemical procedures are used to identify murine splenic lymphocyte membrane components bound by anti-Lyb-3 serum. This antiserum defines membrane components (Lyb-3) on a subpopulation of murine B cells that may function as a receptor for T cell signals. SDS-PAGE analysis of surface-labeled membrane components bound by anti-Lyb-3 serum demonstrated a single molecular species of 68,000 d. The polypeptides recognized by anti-Lyb-3 are not composed of disulfide-linked subunits and bear no antigenic relationship with known membrane immunoglobulins (IgM or IgD). Absorption of anti-Lyb-3 serum with the 68,000 d polypeptides removed the ability of anti-Lyb-3 serum to augment the in vivo immune response of mice to low doses of sheep erythrocytes. The latter provides formal proof that the 68,000 d polypeptide bound by anti-Lyb-3 serum is the target on the B cell membrane for the immunoenhancing activity of the antiserum.

Animals↗
PubMed2025

Molecular Identification and Genotyping of Blastocystis Spp. In Children with Clinical Symptoms in Southeast Iran Using PCR-Sequencing Method.

Blastocystis spp. is a zoonotic anaerobic parasite that has been identified in the large intestine of humans and many vertebrates. It is predominantly encountered in individuals with frequent contact with animals. The present study aims to identify the prevalence of Blastocystis spp. and its common genotypes in children with clinical symptoms of diarrhea in the city of Zahedan, located in the southeast of Iran. A cross-sectional descriptive study was conducted on 60 children under ten years of age with gastrointestinal symptoms, especially diarrhea. Following the collection of samples, stool samples were subjected to direct stool testing for the initial diagnosis. Following this, a microscopic diagnosis was made, after which DNA was extracted and a Polymerase Chain Reaction (PCR) test with a small subunit ribosomal RNA (SSU rRNA) gene target was performed. The PCR products were then purified and sequenced. The resulting nucleotide sequences were then subjected to a thorough review using Chromas biotechnology software version 2.4 and CLC genomic work bench software 11. The alignment of the nucleotide sequences was subsequently facilitated by utilizing the BLAST database, and these sequences were then compared with the reference genotypes of Blastocystis spp. that are stored within the gene bank. The genotyping of the sequences was conducted using CLC genomic work bench software 11, and a phylogenetic tree was constructed using MEGA7 software with the Neighbor-Joining statistical method, which applied the Kimura 2-parameter method. Out of the 60 cases that were examined, 5 children (8.33%) were found to be positive by direct microscopic and PCR tests, where a 500 (479) bp fragment in the SSU-rRNA target was detected. Subsequent genetic analysis identified four distinct subtypes, including subtypes 1, 2, 3, and 5. The percentage of nucleotide identity with the sequences in the gene bank was found to be between 93 and 100%. Given the presence of subtypes 3 and 5 in the study and the evidence of their zoonotic nature, it can be concluded that examining parasite dynamics and epidemiological principles can be effective in the control strategy.

Blastocystis↗
PubMed2024

Sparse spectral graph analysis and its application to gastric cancer drug resistance-specific molecular interplays identification.

Uncovering acquired drug resistance mechanisms has garnered considerable attention as drug resistance leads to treatment failure and death in patients with cancer. Although several bioinformatics studies developed various computational methodologies to uncover the drug resistance mechanisms in cancer chemotherapy, most studies were based on individual or differential gene expression analysis. However the single gene-based analysis is not enough, because perturbations in complex molecular networks are involved in anti-cancer drug resistance mechanisms. The main goal of this study is to reveal crucial molecular interplay that plays key roles in mechanism underlying acquired gastric cancer drug resistance. To uncover the mechanism and molecular characteristics of drug resistance, we propose a novel computational strategy that identified the differentially regulated gene networks. Our method measures dissimilarity of networks based on the eigenvalues of the Laplacian matrix. Especially, our strategy determined the networks' eigenstructure based on sparse eigen loadings, thus, the only crucial features to describe the graph structure are involved in the eigenanalysis without noise disturbance. We incorporated the network biology knowledge into eigenanalysis based on the network-constrained regularization. Therefore, we can achieve a biologically reliable interpretation of the differentially regulated gene network identification. Monte Carlo simulations show the outstanding performances of the proposed methodology for differentially regulated gene network identification. We applied our strategy to gastric cancer drug-resistant-specific molecular interplays and related markers. The identified drug resistance markers are verified through the literature. Our results suggest that the suppression and/or induction of COL4A1, PXDN and TGFBI and their molecular interplays enriched in the Extracellular-related pathways may provide crucial clues to enhance the chemosensitivity of gastric cancer. The developed strategy will be a useful tool to identify phenotype-specific molecular characteristics that can provide essential clues to uncover the complex cancer mechanism.

Stomach Neoplasms↗
PubMed2026

First identification and molecular subtyping of Blastocystis spp. in donkeys in Aksaray province, Türkiye.

Blastocystis is a common intestinal protist worldwide that can infect humans and animals. Although its molecular epidemiology in Türkiye is mostly focused primarily on humans and livestock, equids have received limited attention despite their traditional roles and frequent contact with humans and other animals in rural environments. This study aimed to determine the molecular prevalence and subtype (ST) distribution of Blastocystis spp. in donkeys in Aksaray Province, providing the first molecular data on donkeys in Türkiye. A total of 182 fresh fecal samples were collected from donkeys in nine villages within Aksaray province. Genomic DNA was extracted, and the small subunit ribosomal RNA (SSU rRNA) gene fragment of Blastocystis spp. was amplified via PCR analysis. Positive isolates were sequenced bidirectionally for identification and subsequent phylogenetic analysis of Blastocystis in donkeys. The overall molecular prevalence of Blastocystis spp. in donkeys was 4.4% (8/182). The infection rate was higher in young donkeys (under 3 years old; 8.33%) than in adults (3 years or older; 2.46%). However, this difference was not statistically significant. Sequence analysis of the positive PCR products revealed the presence of one known livestock-specific subtype, ST10. Phylogenetic analysis showed that the ST10 isolates characterized in this study clustered with isolates identified from different hosts. This study provides the first molecular data on Blastocystis presence in donkeys in Türkiye. The exclusive detection of ST10 suggests potential cross-species transmission, likely facilitated by the traditional practice of co-housing donkeys with other animals in confined barns. These findings indicate that donkeys may contribute to Blastocystis transmission, underscoring the importance of a "One Health" approach in future epidemiological surveillance.

Animals↗
PubMed1979

Use of t-butyldimethylchlorosilane/imidazole reagent for identification of molecular species of phospholipids by gas-liquid chromatography mass spectrometry.

The t-butyldimethylsilyl derivatives of 1,2-diakyl, 1-alk-1'-enyl-2-acyl, 1-alkyl-2-acyl and 1,2-diacyl glycerols were analysed with a gas chromatograph mass spectrometer system. The characteristic fragment ions were as follows. The molecular weight determining ion was [M-57]+, which was formed by cleavage of the t-butyl radical from the molecular ion. The nature of the alk-1'-enyl residue could be determined by the presence of ions at [RCH-CH 56]+ and [RCH = CH + 130]+ (RCH = CH = alk-1'-enyl), and the alkyl residue by the ion at [R + 130]+(R = alkyl group). Ions giving information about the acyl group, [RCO]+, [RCO + 74]+ and [M-RCH = CHO, -RO or -RCOO]+ were also observed. The mass spectra of pairs of trimethylsilyl and t-butyldimethylsilyl derivatives showed differences in several respects. The t-butyldimethylsilyl derivatives gave more effective information for elucidating the structure of phosphoglycerides.

Diglycerides↗
PubMed2026

Identification of molecular subtypes in clear cell renal cell carcinoma based on chromatin regulators and tumor immune microenvironment profiling.

In the histological classification of renal cell carcinoma, clear cell renal cell carcinoma (ccRCC) accounts for the highest proportion and is the most common subtype. Despite advances in management, it continues to be associated with considerable incidence and mortality. Although surgery and systemic therapies are available, their efficacy is constrained by pronounced intratumoral heterogeneity and treatment resistance. Identifying robust biomarkers and clarifying the underlying biological mechanisms are therefore essential to improving diagnosis, risk stratification and therapeutic decision-making. In this work, we identified two ccRCC molecular subtypes displaying divergent chromatin regulator (CR) profiles and different clinical prognoses. Using the genes differentially expressed between these subgroups, we constructed a CR-related score (CRS) that effectively stratified patients according to survival. More analysis concluded that the low expression of CR was more linked with the immune-activated tumors, which encompassed the immune pathway enrichment, as well as the elevation of numerous immune cell subtypes. Moreover, elevated CRS was associated with improved immunotherapy responsiveness. Drug-sensitivity analyses nominated several candidate agents, and SMARCD3 knockdown in 786-O cells inhibited proliferation and migration and reduced sensitivity to masitinib. Collectively, these findings support the prognostic and therapeutic relevance of CR-related states in ccRCC and provide a framework for future experimental validation of chromatin-regulated tumor-immune interactions.

Humans↗
PubMed2025

Identification of molecular markers and exploration of the oncogenic role of exomeres in hepatocellular carcinoma.

Extracellular vesicles and particles (EVPs) serve as functional mediators delivering their cargoes to specific destinations. Exomeres (EMs) represent a newly discovered subset of nanoparticles, with limited understanding of their biophysical characteristics and functionalities. Here, we isolated and studied EMs from different normal and cancer cell lines. Proteomic analysis reveals distinctive features of EMs compared to small extracellular vesicles (sEVs) and identifies galactosamine (N-acetyl)-6-sulfatase (GALNS) and mannosidase alpha class 2B member 1 (MAN2B1) to be expressed in EMs, indicating their potential as specific EM molecular markers. Subsequent investigations into tumor-derived EMs demonstrate their oncogenic properties to support cancer growth and metastasis. Furthermore, analysis of murine hepatocellular carcinoma-derived EM reveals their ability to induce cell cycle progression and metabolic alterations. Collectively, our data highlight the distinct nature of EMs as a nanoparticle subpopulation different from sEVs, with cancer-derived EMs significantly contributing to tumor growth and dissemination.

Carcinoma, Hepatocellular↗
PubMed2026

A qPCR identification scheme to detect the most common causative agents of actinomycetoma in Africa.

Mycetoma is a neglected tropical disease characterized by mutilating tumorous lesions in the subcutaneous tissue. The causative agents are found embedded in granules called grains. Mycetoma is either caused by bacteria (actinomycetoma) or fungi (eumycetoma). To initiate the appropriate treatment, it is important to identify the causative agent rapidly and molecular identification for eumycetoma revolutionized the time to identification. For actinomycetoma this was not possible yet. Here we developed a multiplex qPCR identification scheme for the most common causative agents of actinomycetoma in Africa. Whole genome sequencing was used to identify species-specific gene families for Actinomadura madurae, Actinomadura pelletieri, Streptomyces somaliensis and Streptomyces sudanensis. qPCR primers and probes were developed on these species and validated against DNA isolated from mycetoma strains and grains. Each probe was unique with no cross-reactivity with other tested species. The limit of detection ranged from 0.000013 to 0.00067 ng bacterial DNA. When the qPCRs were validated against 28 grain samples, all fungal grains remained negative and 11 out of 12 Actinomadura grains were correctly identified. This resulted in a sensitivity of 85.7% for the A. pelletieri probe and a specificity of 100%. For the A. madurae probe, a sensitivity and specificity of 100% was obtained. The actinomycetoma qPCR developed in this study can be used to identify the most common causative agents of actinomycetoma in Africa.

Mycetoma↗
PubMed2026

Identification and in-depth characterization of clinical isolates of Peribacillus frigoritolerans.

UNLABELLED: Peribacillus frigoritolerans is a bacterial species commonly found in the environment and used as a plant-growth promoter and biocontrol agent in agriculture. Recent evidence has proven that Peribacillus spp. are also able to cause severe infections in humans, thus emerging as new human pathogens. In this study, for the first time, 10 P. frigoritolerans strains were isolated from human samples (both superficial and sterile deep body sites) and characterized in terms of morphology, lifestyle, genetics, and virulence. The molecular identification by MALDI-TOF mass spectrometry and 16S rRNA gene sequencing was inconclusive, while whole-genome sequencing was effective in properly identifying isolates within the species P. frigoritolerans. The pangenome analysis provided an overview of the virulence potential of P. frigoritolerans, revealing the presence of genes involved in antibiotic resistance and toxin/exoenzyme production. Phenotypically, the strains displayed different features and behaviors, indicating strain-specific properties and high intra-species variability. A part of the strains exhibited virulence factors, being able to swim and swarm, form biofilms, and produce enzymes and toxins. Antibiotic susceptibility testing revealed resistance to ampicillin for all strains and resistance to erythromycin and clindamycin for some of them. Antimicrobial activity against Gram-positive bacteria and fungi was demonstrated, further corroborating the presence of putative bacteriocin/antimicrobial peptide-encoding genes. An association between the overall virulence potential and infection site/severity was hypothesized. Altogether, these findings highlight the extreme diversity within the species, reveal the strain-dependent pathogenic potential of P. frigoritolerans, and support its role as a candidate human pathogen. IMPORTANCE: This study provides insights into the infectious role of Peribacillus frigoritolerans, an almost unknown bacterial species with agrobiotechnological potential but no history of human infections. This is the first report of P. frigoritolerans isolation from human clinical samples. Ten P. frigorit-olerans strains were herein characterized for their morphology, lifestyle, genetics, and virulence, highlighting an extreme intra-species variability and the potential to act as pathogens in humans. Importantly, this study points out the need for unconventional methods for proper identification of this species, since traditional techniques result inconclusive. Resistance to commonly prescribed antibiotics was also evidenced, confirming the importance of antimicrobial testing on clinical iso-lates. This study lays the foundation for a more in-depth characterization of Peribacillus spp. in the clinical context.

Humans↗
PubMed2026

NanoSSL: attention mechanism-based self-supervised learning method for protein identification using nanopores.

MOTIVATION: Nanopores are cutting-edge interdisciplinary tools that can analyze biomolecules at the single-molecule level for many applications, e.g. DNA sequencing. Efforts are underway to extend nanopores to proteomics, including the development of machine learning algorithms for protein sequencing and identification. However, single-molecule data are intrinsically noisy and hard to process. Moreover, the development and performance of machine learning for nanopore is jeopardized by data scarcity. Self-supervised learning is an emerging method that may yield advantages in nanopore scenarios. RESULTS: We propose and experimentally validate Nanopore analysis using Self-Supervised Learning (NanoSSL), a generative self-supervised learning framework based on attention mechanisms for the identification of protein signals from nanopores. Leveraging a two-step approach consisting of self-supervised pre-training and supervised fine-tuning, NanoSSL learns useful feature representations from empirical data to facilitate downstream classification tasks. Inspired by the concept of fragmentation in conventional protein sequencing technologies, during pretraining each translocation event is split into multiple non-overlapping fragments of equal size, some of which are randomly masked and reconstructed using a masked autoencoder. Learning the feature representations of the reconstructed nanopore events facilitates molecular identification in fine-tuning. In this study, we retested a publicly available nanopore multiplexed protein sensing dataset for model iteration, and subsequently measured Alzheimer's disease biomarker Aβ1-42 using homemade solid-state nanopores. Empirical results indicated NanoSSL achieved an unprecedented performance across four metrics: accuracy, precision, recall, and F1 score, when classifying two mutated Aβ1-42, E22G and G37R. The self-supervised learning and attention mechanism were verified as the source of performance gains. AVAILABILITY AND IMPLEMENTATION: The main program is available at https://doi.org/10.5281/zenodo.17172822.

Nanopores↗
PubMed2026

Antennal transcriptome analysis of chemosensory proteins in the raspberry weevil, Aegorhinus superciliosus (Coleoptera: Curculionidae).

Aegorhinus superciliosus (Coleoptera: Curculionidae) is a polyphagous pest of economic importance in southern Chile, the chemical ecology of which remains poorly characterized. Across insect species, chemosensory proteins, including odorant receptors (ORs), gustatory receptors (GRs), ionotropic receptors (IRs), odorant-binding proteins (OBPs), chemosensory proteins (CSPs), and sensory neuron membrane proteins (SNMPs), mediate the detection of chemical cues involved in host selection, reproduction, and other ecologically relevant behaviors. In this study, the antennal transcriptome of adult A. superciliosus was sequenced and analyzed using a de novo RNA-seq approach. Three independent biological replicates per sex were used for RNA-seq, and the same number of independent biological replicates was used for RT-qPCR validation; sequencing yielded 147,409,936 high-quality reads after quality filtering. A total of 112 candidate chemosensory genes were identified, comprising 43 ORs, 34 OBPs, 10 CSPs, 18 IRs, 5 GRs, and 2 SNMPs. Phylogenetic analyses assigned these candidate proteins to established clades, providing a comparative framework for functional inference for ORs and OBPs. Sex- and tissue-biased expression analyses revealed that several ORs, including AsupOR4, AsupOR19, and AsupOBP13, exhibit antennal enrichment and sex-specific expression patterns. Notably, AsupOR19 and AsupOBP13 displayed strong female-biased expression. In addition, transcripts of selected ORs and OBPs were detected in non-antennal tissues, such as the rostrum and legs, suggesting potential functional versatility beyond canonical olfaction. Together, these findings represent the first molecular identification of the chemosensory repertoire of A. superciliosus. This study establishes a foundation for reverse chemical ecology approaches aimed at identifying behaviorally active volatile organic compounds (VOCs) toward environmentally sustainable strategies for integrated pest management.

Animals↗
PubMed2026

Genomic and bioreactor evaluation of newly isolated cellulase-producing bacteria.

Cellulose is a renewable resource with broad biotechnological potential, and its hydrolysis by cellulases underpins applications such as biofuel production and biowaste valorization. This study combined isolation, screening, molecular identification, enzyme assays, genome sequencing, and bioreactor evaluation to characterize novel cellulase-producing bacteria. Preliminary screening identified and selected bacterial isolates by hydrolysis halo formation, with strains showing halos ≥ 20 mm selected for further quantitative assays. Streptomyces olivaceus C1_7A, Bacillus thuringiensis FBB7BB, and Bacillus licheniformis strains AT081C and AT082C showed the highest endoglucanase activities (from 0.11 to 0.26 U mL-1). Further testing on Arundo donax and Avicel led to the selection of B. thuringiensis FBB7BB and S. olivaceus C1_7A as the most promising strains for biotechnological application. Whole genome sequencing confirmed the presence of genes involved in polysaccharide degradation. Finally, lab-scale fermentation trials using 1-2% CMC showed that B. thuringiensis FBB7BB reached a maximum endo-1,4-β-glucanase activity of 0.30 ± 0.04 U mL-1 after 8 h at 37 °C, whereas S. olivaceus C1_7A achieved 0.36 ± 0.03 U mL-1 after 216 h at 30 °C.

Cellulase↗
PubMed2026

The complete chloroplast genome of Cynanchum hemsleyanum and its phylogenetic analysis.

C. hemsleyanum chloroplast genome is 157,356 bp with a quadripartite structure, 37.99% GC, and 132 genes (87 protein-coding, 37 tRNA, 8 rRNA). Phylogenomic analysis places it as sister to C. thesioides with 100% bootstrap support. This resource aids molecular identification, genetic diversity, and evolutionary studies in Apocynaceae.

Cynanchum hemsleyanum↗
PubMed2026

The complete Chloroplast Genome of Dianthus Helenae, an Endemic Species with Medicinal Potential from the Nuratau Mountains, Uzbekistan.

Dianthus helenae Vved. is an endemic medicinal species of the Nuratau Mountains, Uzbekistan, and its genomic resources have remained largely unavailable. In this study, we sequenced, assembled, and characterized the complete chloroplast genome of D. helenae and evaluated its phylogenetic position within Dianthus. The plastome exhibited a typical circular quadripartite structure with a total length of 149,567 bp, comprising a large single-copy (LSC) region of 82,856 bp, a small single-copy (SSC) region of 17,105 bp, and a pair of inverted repeats (IRs) of 24,803 bp each. The genome contained the typical set of chloroplast genes, including protein-coding genes, transfer RNAs, and ribosomal RNAs, with duplicated genes located in the IR regions. Phylogenetic analysis based on complete chloroplast genome sequences strongly supported the placement of D. helenae within Dianthus and recovered it as a distinct lineage relative to other sampled species. Sliding window analysis of nucleotide diversity revealed uneven sequence variation across the plastome, with higher variability in the SSC and LSC regions than in the IRs. Several highly variable loci, including trnK-UUU , rps16-trnQ-UUG , rpl32, ycf1, and ndh-associated regions, were identified as potential molecular markers. These results provide an important genomic resource for Dianthus and establish a foundation for future phylogenetic, taxonomic, conservation, and molecular identification studies of this endemic Central Asian species.

Genome, Chloroplast↗