National Center For Biotechnology Information Research Articles

A highly sensitive and specific real-time quantitative polymerase chain reaction assay for Perkinsus marinus detection in oysters

Oyster aquaculture is one of the fastest-growing food production industries worldwide; however, it faces a significant challenge from the protist Perkinsus marinus, particularly in the USA. Although several quantitative molecular diagnostic methodologies are available for identifying diseases caused by P. marinus, the primer pairs used therein led to non-specific identification of other Perkinsus spp. Hence, a quantitative real-time PCR (Pm-qPCR) assay specific for P. marinus was developed using a TaqMan-based probe with the internal quencher in this study. A primer pair and probe specific to P. marinus were designed from a hypothetical protein of P. marinus collected from the whole-genome shotgun sequence database of the National Center for Biotechnology Information (NCBI). In silico analysis using homologous sequences of P. olseni and P. chesapeaki confirmed the high specificity of primers designed in this study. The Pm-qPCR assay was performed using seven different strains of P. marinus, P. olseni, and P. chesapeaki, revealing high specificity and sensitivity for detecting only P. marinus strains. In conclusion, it was demonstrated that Pm-qPCR can effectively and accurately diagnose P. marinus with high specificity and sensitivity. This assay is promising for monitoring oyster health and disease management in ecosystems and aquaculture.

Understanding rhizospheric microbial dynamics in gladiolus corms through quorum sensing and quorum quenching for disease control and growth promotion

Gladiolus, a widely cultivated cut flower known for its aesthetically pleasing multicoloured spikes, has earned significant commercial popularity. A comprehensive understanding of the rhizosphere bacterial community associated with gladiolus is imperative for revealing its potential benefits. Molecular characterization is considered an effective method to gain insights into the structural and functional aspects of microbial populations. The soil characteristics and bacterial communities in the rhizosphere are typically influenced by quorum sensing (QS) and quorum quenching (QQ) mechanisms. This study aims to explore the niceties and diversity of rhizospheric bacterial populations linked with gladiolus corms, with a specific focus on understanding the dynamics of QS and QQ mechanisms in their complex interactions. The isolation of bacterial strains was achieved through the serial dilution method on nutrient agar (NA) media. The identification of the isolates was accomplished by amplifying 16 S rRNA gene sequences via polymerase chain reaction (PCR) via the use of universal primers. Sequence analysis was conducted via BLAST on the National Center for Biotechnology Information (NCBI) database. The characteristics of the isolated bacteria were elucidated via biosensors. This study identified three QS strains and five QQ strains. A consortium of quenchers was formulated utilizing five strains that demonstrated efficacy in mitigating the impact of disease on gladiolus and fostering growth. Among the three treatments—Scale, Descale, and Descale and Cut Half (DSC)—the DSC treatment emerged as the most effective. This treatment exhibited a broader range of variation in biological parameters over time, aligning with prevailing trends in the local market.

Gene Sequencing Study of Mitochondrial Cytochrome Oxidase Subunit I (COI) in Aedes aegypti Mosquito

Aedes aegypti is an important vector from the public health point of view. It transmits pathogens of Dengue and various other diseases. Controlling vector populations is key to reducing disease transmission and it is possible by understanding the taxonomic characteristics of the vectors and their genetic analysis helps in the identification of the genetic variations in species of different geographical areas. The main aim of the present study is the screening of the Aedes mosquito genome of local species as genetic studies give some insights into the vaccine for the treatment of the diseases caused by mosquito species. In the present study, the adult Ae. aegypti collected from Suryapet town where Dengue fever is endemic, used for the mitochondrial Cytochrome Oxidase subunit I (COI) gene sequencing using the techniques of polymerase chain reaction, Electrophoretic separation, spectrophotometric analysis, and BLAST. The mitochondrial COI sequence of 583 bps is published in the National Centre for Biotechnology Information (NCBI) with accession number ON413769. The sequence data was matched with the database available in the NCBI to identify variation in the gene as this gene keeps changing in the organisms and may contribute to the species establishing itself in a particular region due to congenial environmental conditions. One match with the protein called haem copper oxidase subunit I. The transmission of different pathogens in different areas can be ascertained by comparing similar sequence studies documented. Genomic studies involving genetic markers are of immense help in developing the vaccine. The mitochondrial COI gene is the marker often used for evolutionary research. The single nucleotide polymorphisms (SNP) or Restricted fragment length polymorphisms (RFLPs) that occur in DNA also contribute to the vector's adaptability to the different geographical areas and also the survival benefit which are the basis for understanding the vectors thoroughly and their role in disease transmission.

Diversity, functional classification and genotyping of SHV β-lactamases in Klebsiella pneumoniae.

Interpreting the phenotypes of bla SHV alleles in Klebsiella pneumoniae genomes is complex. Whilst all strains are expected to carry a chromosomal copy conferring resistance to ampicillin, they may also carry mutations in chromosomal bla SHV alleles or additional plasmid-borne bla SHV alleles that have extended-spectrum β-lactamase (ESBL) activity and/or β-lactamase inhibitor (BLI) resistance activity. In addition, the role of individual mutations/a changes is not completely documented or understood. This has led to confusion in the literature and in antimicrobial resistance (AMR) gene databases [e.g. the National Center for Biotechnology Information (NCBI) Reference Gene Catalog and the β-lactamase database (BLDB)] over the specific functionality of individual sulfhydryl variable (SHV) protein variants. Therefore, the identification of ESBL-producing strains from K. pneumoniae genome data is complicated. Here, we reviewed the experimental evidence for the expansion of SHV enzyme function associated with specific aa substitutions. We then systematically assigned SHV alleles to functional classes (WT, ESBL and BLI resistant) based on the presence of these mutations. This resulted in the re-classification of 37 SHV alleles compared with the current assignments in the NCBI's Reference Gene Catalog and/or BLDB (21 to WT, 12 to ESBL and 4 to BLI resistant). Phylogenetic and comparative genomic analyses support that (i) SHV-1 (encoded by bla SHV-1) is the ancestral chromosomal variant, (ii) ESBL- and BLI-resistant variants have evolved multiple times through parallel substitution mutations, (iii) ESBL variants are mostly mobilized to plasmids and (iv) BLI-resistant variants mostly result from mutations in chromosomal bla SHV. We used matched genome-phenotype data from the KlebNET-GSP AMR Genotype-Phenotype Group to identify 3999 K. pneumoniae isolates carrying one or more bla SHV alleles but no other acquired β-lactamases to assess genotype-phenotype relationships for bla SHV. This collection includes human, animal and environmental isolates collected between 2001 and 2021 from 24 countries. Our analysis supports that mutations at Ambler sites 238 and 179 confer ESBL activity, whilst most omega-loop substitutions do not. Our data also provide support for the WT assignment of 67 protein variants, including 8 that were noted in public databases as ESBL. These eight variants were reclassified as WT because they lack ESBL-associated mutations, and our phenotype data support susceptibility to third-generation cephalosporins (SHV-27, SHV-38, SHV-40, SHV-41, SHV-42, SHV-65, SHV-164 and SHV-187). The approach and results outlined here have been implemented in Kleborate v2.4.1 (a software tool for genotyping K. pneumoniae), whereby known and novel bla SHV alleles are classified based on causative mutations. Kleborate v2.4.1 was updated to include ten novel protein variants from the KlebNET-GSP dataset and all alleles in public databases as of November 2023. This study demonstrates the power of sharing AMR phenotypes alongside genome data to improve the understanding of resistance mechanisms.

Emerging blaNDM-positive Salmonella enterica in Chinese pediatric infections.

Non-typhoidal Salmonella (NTS) is a common zoonotic foodborne pathogen, whose rising antimicrobial resistance has been an urgent threat to global public health. Here, we reported two carbapenem-resistant Salmonella enterica (CRSE) strains (NBFE-049 and NBFE-164) carrying the blaNDM genes, which were recovered from two Chinese children, belonged to Salmonella enterica serovar Typhimurium (S. Typhimurium) monophasic variant (S. 1,4,[5],12:i:-) ST34 (a sequence type) and S. Typhimurium ST19, respectively. Genes blaNDM-5 and blaNDM-13 were detected in NBFE-049 and NBFE-164, respectively. The blaNDM-5 in NBFE-049 was located in an IncHI2-type plasmid, named pNBFE-049. In NBFE-164, the blaNDM-13 was located in an IncI1-type plasmid, named pNBFE-164. The plasmid pNBFE-164 successfully transferred its resistance phenotype into the recipient strain Escherichia coli J53 with a high efficiency of 1.1 × 10-2, while no transconjugants were obtained in pNBFE-049 conjugation assays. We further elucidated the genetic relationships of globally occurring New Delhi Metallo-β-lactamase (NDM)-positive strains and locally distributed clinical strains within the same serovar. The closest relative of NBFE-049 was clinical Salmonella strain 1722, which was recovered in 2020 and differed by only three Single Nucleotide Polymorphisms (SNPs). No NDM-positive ST19 could be found in the National Center for Biotechnology Information (NCBI) database, and NBFE-164 showed a close genetic relationship with the other ST19 in this area. To sum up, we suggested the potential contributions of clonal spread and plasmid-mediated blaNDM transfer in CRSE dissemination. This study reported the complete genome of two blaNDM-carrying S. Typhimurium isolates, shedding new insights into the antimicrobial resistance mechanisms and dissemination patterns of the emerging CRSE.IMPORTANCENTS is one of the most common zoonotic pathogens that causes foodborne illnesses, while S. Typhimurium is one of the most common serovars. With the rising prevalence of multi-resistant Salmonella worldwide, carbapenems have emerged as the last-line antibiotics for treating severe bacterial infections. In this study, we reported the genomic characteristics of two carbapenem-resistant S. Typhimurium strains, which were recovered from two pediatric patients, carrying blaNDM-5 and blaNDM-13, providing new insights into the antimicrobial resistance deteriminants and transmission risk of blaNDM-positive NTS in China. We suggested the potential contributions of clonal spread and plasmid-mediated blaNDM transfer in CRSE dissemination. Future enhanced surveillance policy should mitigate CRSE spreading, and more importantly, clinical antimicrobial therapeutic regimens should be adjusted accordingly.

Physicochemical and Structural Validation of Myxovirus Resistance 1 (Mx1) Protein of Three Strains of the Nigerian Indigenous (<i>Gallus Gallus domesticus</i>) and Exotic Chickens

This research was conducted on three strains of Nigerian Indigenous (<i>gallus gallus domesticus</i>) and Noiler (exotic) chickens. It examined the physicochemical and structural validation of Myxovirus resistance 1 (Mx1) protein on the three strains of Nigerian indigenous (naked neck, frizzle feather, normal feather) and noiler (exotic) chickens and also the prediction of the Physicochemical Analysis of protein. Nucleotide sequence were retrieved from National Center for Bio-Technology Information (NCBI) database and subjected to multiple sequence alignment, prediction of the physicochemical analysis of protein was done in the ProtParam web server. Modeling of 3D structural validation, Swiss modeling and Statistical analysis were all carried out. Software was used to align the sequences to find any Single Nucleotide Polymorphism (SNPS). The result of physicochemical analysis showed that the properties of the Mx1 protein fell within accepted threshold and predicted that the proteins were generally related. To validate the structure obtained from modeling, the obtained PDB files were ran on the Pro-check validation server and obtained Errat and Ramachandran plots. The study elucidates the unique features and potential functional implications of Mx1 protein across different strains of Nigerian indigenous and exotic chickens. This knowledge can inform the development of strategies to improve disease resistance in local chicken populations through selective breeding or genetic manipulation. Comparing the Mx1 protein among different strains of Nigerian indigenous chickens can reveal evolutionary adaptations and provide valuable information for understanding the molecular basis of immune defense mechanisms in poultry. Understanding the physicochemical properties and structural dynamics of Mx1 protein contributes to the broader understanding of innate immune responses in indigenous chicken breeds, offering insights into their disease resistance and adaptation mechanisms.

Taxonomic Data Objects for Communicating the Meaning of Species Names

A central problem in biodiversity data science remains the inability to precisely aggregate observations that originate from the same species. Current approaches still rely heavily on the ‘Genus species’ pair of Linnaean taxonomy to label and group data. However, such binomial species names do not alone contain enough information to distinguish variation in a name’s conceptual usage (i.e., meaning) across time, place, or investigator. This “species name-to-meaning” problem is well known, but no robust and scalable solutions yet exist (Berendsohn 1995Bisby 2000, Sutherland et al. 2000, Page 2007, Franz and Sterner 2018, Upham et al. 2021, Sterner et al. 2023, Sterner et al. 2020, Beach et al. 1993). The problem is widespread especially for well-studied groups like mammals, for which 45% more species are now recognized than 30 years ago, including many species splits and rearrangements (Burgin et al. 2018, Mammal Diversity Database 2024). To address this problem, we here propose to digitally package and sign the relevant taxonomic data associated with a given species name usage to form a ‘Taxonomic Data Object’ (TDO). These TDOs are conceptually similar to 'secundus' references (i.e., species name sec. author, Berendsohn 1995) but differ in being machine readable and thus operational from the perspective of high-throughput data science. TDOs aim to move from analog secundus references, which require a human to track meaning by reading the cited article, to a digital and machine-actionable taxonomic reference. Versioned TDOs that are digitally signed using hash algorithms (e.g., md5 or sha256, see Elliott et al. 2023) will allow for precisely communicating, with verified data provenance from sender to receiver, certain aspects of what a species name means according to a given authority at a given time. Example TDO contents include DarwinCore terms (e.g., scientificName, namePublishedIn, nameAccordingTo, nomenclaturalStatus (Darwin Core Maintenance Group 2021)) as well as meaning-rich digital assets like geographic range maps (e.g., GeoJSON format), exemplar DNA sequences (e.g., FASTA format or National Center for Biotechnology Information (NCBI) accession number), holotype specimen information (e.g., catalog number, type locality coordinates), and taxonomic treatment texts (including material citations, e.g., as digitized and extracted by Plazi TreatmentBank, Agosti and Egloff 2009; see Fig. 1). We discuss pilot examples comparing global bat species according to the v1.2 vs. v1.11 taxonomies of the Mammal Diversity Database (Sep 2020 vs. Apr 2023), showing how TDOs enable the reliable tracking of taxonomic meaning for the 63 bat species affected by splits during this period. We posit that widespread use of TDOs will enable the traceable exchange of taxonomic information across a variety of existing platforms, providing a path for accurate species-level data aggregation at global scales, at least for well-studied taxa.

Taxonomy Identifiers (TaxId) for Biodiversity Genomics: a guide to getting TaxId for submission of data to public databases

Biodiversity genomics critically depends on correct taxonomic identification of the sample from which data are derived. Tracking of that taxonomic information through systems that archive data and report on genome sequencing efforts. For submission of data to the International Nucleotide Sequence Database Collaboration (INSDC) databases (DNA DataBank of Japan [DDBJ], European Nucleotide Archive [ENA] and National Center for Biotechnology Information [NCBI]), samples and data derived from them must be assigned a species-level NCBI Taxonomy taxonomic identifier (TaxId, sometimes referred to as taxId or txid). We thus need to be able to identify the TaxId for a target species efficiently. Because the NCBI Taxonomy does not include all known species and cannot preemptively represent unknown taxa, we also need an efficient process for generating new TaxIds for species not yet listed. This document provides workflows for different kinds of TaxId acquisition scenarios and was created to guide users in these processes. Although developed for European projects such as Darwin Tree of Life and the European Reference Genome Atlas, the workflows are universally applicable and describe the use of ENA in resolving taxonomic issues. Too Long: Didn't Read (TL;DR): Use the ENA REST API programmatically to retrieve TaxIds for target species and confirm that sequence data can be submitted to those TaxIds. Use the NCBI Web interface to NCBI Taxonomy to identify potential homotypic synonyms. Request a new TaxId from ENA for a species not yet in NCBI Taxonomy, and for species-like entries for which the full Linnaean binomen is not determined (see https://ena-docs.readthedocs.io/en/latest/faq/taxonomy_requests.html#creating-taxon-requests). Discuss directly with the NCBI Taxonomy curators or the curators at ENA and NCBI whenever you think there is an opportunity to improve their database.

Surgical Management of Secondary Complex Microsurgical Reconstructions after Amputation and Severe Trauma Injuries: A Case Series.

Secondary complex microsurgical reconstructions after amputation and severe trauma injuries are often necessary to optimize functional outcomes. We reviewed eight patients who underwent extensive reconstruction after severe trauma. The details of secondary procedures are further described in the article. A literature search was performed using the National Center for Biotechnology Information (NCBI) database for studies evaluating secondary procedures after complex reconstructions. To date, the order and the need for performing secondary procedures have yet to be fully defined. The tissues encountered include skin, soft tissue, bone, nerve, joint, and tendon. We described the use of a decision-theoretic approach to the secondary reconstruction. Treatment of a complex trauma should be measured by functional outcome.

Transcriptome Profile and Gene Expression During Different Ovarian Maturation Stages of Macrobrachium rosenbergii (De Man, 1879).

Macrobrachium rosenbergii, or giant river prawn, is the most economically crucial cultured freshwater crustacean. A predominant challenge in developing crustacean aquaculture is reproduction management, particularly ovary maturation, where identifying regulative mechanisms at the molecular level is critical. Ovary is the primary tissue for studying gene and protein expressions involved in crustacean growth and reproduction. Despite significant interest in M. rosenbergii, its gene discovery has been at a relatively small scale compared to other genera. In this study, comprehensive transcriptomic sequencing data for different maturation stages of the ovary of M. rosenbergii were observed. The 20 female M. rosenbergii samples evaluated were categorised into four maturation stages, 1 to 4. A total of 817,793,14, 841,670,70, 914,248,78 and 878,085,88 raw reads were obtained from stages 1, 2, 3 and 4, respectively. The assembled unique sequences (unigenes) post-clustering (n = 98013) was 131,093,546 bp with an average size of 1,338 bp. The BLASTX unigene search against National Centre for Biotechnology Information (NCBI), non-redundant (NR), nucleotide sequence (NT), Kyoto Encyclopaedia of Genes and Genomes Orthology (KO), Swiss-Prot, Protein Family (PFAM), Gene Ontology (GO), and euKaryotic Orthologous Groups (KOG) databases yielded 27,680 (28.24%), 7,449 (7.59%), 13,026 (13.29%), 22,606 (23.06%), 29,907 (30.51%), 30,025 (30.63%) and 14,368 (14.65%) significant matches, respectively, totalling to 37,338 annotated unigenes (38.09%). The differentially expressed genes (DEG) analysis conducted in this study led to identifying cyclin B, insulin receptor (IR), oestrogen sulfotransferase (ESULT) and vitellogenin (Vg), which are critical in ovarian maturation. Nevertheless, some M. rosenbergii ovarian maturation-related genes, such as small ubiquitin-like modifier (SUMO)-activating enzyme subunit 1, E3 ubiquitin-protein ligase RNF25, and neuroparsin, were first identified in this study. The data obtained in the present study could considerably contribute to understanding the gene expression and genome structure in M. rosenbergii ovaries throughout its developmental stage.

DDBJ update in 2024: the DDBJ Group Cloud service for sharing pre-publication data.

The Bioinformation and DNA Data Bank of Japan Center (DDBJ Center, https://www.ddbj.nig.ac.jp) provides public databases that cover a wide range of fields in life sciences. As a founding member of the International Nucleotide Sequence Database Collaboration (INSDC), the DDBJ Center accepts and distributes nucleotide sequence data ranging from raw reads to assembled and annotated sequences with the National Center for Biotechnology Information and the European Bioinformatics Institute. Besides INSDC databases, the DDBJ Center provides databases for functional genomics (Genomic Expression Archive), metabolomics (MetaboBank), human genetic variations (TogoVar-repository) and human genetic and phenotypic data (Japanese Genotype-phenotype Archive). These database systems have been built on the National Institute of Genetics supercomputer, which is also a platform for the DDBJ Group Cloud (DGC) services for sharing and analysis of pre-publication data among research groups. This paper reports recent updates on the databases and the services of the DDBJ Center, highlighting the DGC service.

A molecular approach to identify parrotfish (Sparisoma) species during early ontogeny.

Sparisoma species (parrotfish) comprise an important functional group contributing to coral-reef resilience. The morphological diagnostic characteristics for species identification are clearly described for adult forms but not for the early stages. Consequently, many taxonomical listings of Sparisoma larvae are restricted to the genus level. The aims of this study are to determine whether the morphological and molecular identification techniques are useful to assign the species taxonomic level to Sparisoma larvae occurring in the Gulf of Mexico and whether there is a set of diagnostic features that could be used to discriminate between species in larvae of different developmental stages. Morphological assignment of Sparisoma was performed based on morphological and meristic features for 30 larvae collected in the Gulf of Mexico from late August to mid-September 2015. To corroborate and complement the morphological assignments, molecular identification was carried out using DNA sequences from regions of two mitochondrial genes, mitochondrial cytochrome oxidase I (mtDNA COI) and mitochondrial 16S rRNA (mtDNA 16S rRNA). COI and 16S gene trees for Sparisoma and related fish taxa were constructed using sequences available in the NCBI (National Center for Biotechnology Information) GenBank and BOLD (Barcode of Life Data) databases. Two morphotypes were identified based on morphology, but no diagnostic characteristics for species discrimination were found. Molecular identification, in contrast, successfully discriminated four early development stages of Sparisoma atomarium, three stages of Sparisoma radians, and two stages of Sparisoma chrysopterum and Sparisoma aurofrenatum, therefore demonstrating the successful and necessary application of molecular taxonomic approaches for species-level identifications of Sparisoma larvae.

Relationship between Sleep Quality and Vertigo Incidence in College Students

One-third of adults are affected by poor sleep quality. Sleep problems are not only experienced by adults. Knowing the relationship between sleep quality and the incidence of vertigo is very important and urgent because of its very broad impact on health, understanding pathophysiology, clinical development, improving quality of life, as well as education and awareness in the community, especially students. In Indonesia, the prevalence of sleep disorders in adolescents is 62.9%. This study aims to determine the relationship between sleep quality and the incidence of vertigo in students. Literature review using Google Scholar, National Center for Biotechnology Information (NCBI) & Research Science found 9 journals based on inclusion & exclusion criteria. The results of the research is the relationship between sleep quality and vertigo involves a complex interaction between physiological and psychological factors. Physiological effects include disorientation and instability, motor coordination, and physiological stress responses such as cortisol. The psychological effects that can occur are anxiety, depression, decreased concentration, decreased cognitive function, and increased psychological discomfort. Lack of sleep in students makes vertigo symptoms worse. Lack of sleep will make vertigo symptoms worse. It is best to arrange the right sleeping position so that symptoms of vertigo do not occur, because vertigo can occur even in people who have never experienced it. The conclusion is there is a relationship between sleep quality and the incidence of vertigo in students.

Bioinformatics analysis of the antigenic epitopes of L7/L12 protein in the B- and T-cells active against Brucella melitensis

Abstract The objective is to analyse the physicochemical properties, spatial structure and protein–protein interactions (PPIs) of L7/L12 protein using bioinformatics methods and predict their B- and T-cell epitopes to lay a theoretical foundation for developing a novel multiepitope vaccine (MEV). The National Center for Biotechnology Information (NCBI) database was searched for the amino acid sequences of L7/L12 from Brucella melitensis. In addition, the online softwares, ProtParam and ProtScale, were used to predict the physicochemical properties: NetPhos3.1 and CD-search to predict the phosphorylation sites and conserved domains; SOMPA and SWISS-MODEL to predict the secondary and tertiary structures; the STRING database to analyse the PPIs; and the IEDB, ABCpred, SVMTrip and SYFPEITHI databases to predict the B- and T-cell epitopes. L7/L12 was docked to Toll-like receptor 4 (TLR4), B-cell receptor (BCR), Major histocompatibility complex I-T cell receptor (MHC I-TCR) and MHC II-TCR complexes, respectively, and the binding ability of L7/L12 to the targeted receptors was tested. L7/L12, consisting of 124 amino acids, was determined to be a stable, intracellular, hydrophilic protein containing 6 phosphorylation sites and ribosomal protein-related conserved domains. α-helices accounted for 70.16 %, β-turns for 2.42 %, extended strands for 8.87 % and irregular coils for 18.55 % of the secondary structure. The PPIs indicated that L7/L12 was involved in the constitution of ribosomes and regulating the accuracy of the translation process. Three B-cells, two cytotoxic T lymphocytes and three helper T lymphocyte epitopes were finally screened by comparing multiple databases. L7/L12 binds to TLR4, BCR, MHC I-TCR and MHC II-TCR complexes and forms stable hydrogen bonds, respectively. L7/L12, which governs the translation curate of proteins, possesses several potentially advantageous epitopes, laying a theoretical foundation for designing MEVs.

Research on the Regulatory Mechanism of Ginseng on the Tumor Microenvironment of Colorectal Cancer based on Network Pharmacology and Bioinformatics Validation.

A network pharmacology study on the biological action of ginseng in the treatment of colorectal cancer (CRC) by regulating the tumor microenvironment (TME). To investigate the potential mechanism of action of ginseng in the treatment of CRC by regulating TME. This research employed network pharmacology, molecular docking techniques, and bioinformatics validation. Firstly, the active ingredients and the corresponding targets of ginseng were retrieved using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), the Traditional Chinese Medicine Integrated Database (TCMID), and the Traditional Chinese Medicine Database@Taiwan (TCM Database@Taiwan). Secondly, the targets related to CRC were retrieved using Genecards, Therapeutic Target Database (TTD), and Online Mendelian Inheritance in Man (OMIM). Tertiary, the targets related to TME were derived from screening the GeneCards and National Center for Biotechnology Information (NCBI)-Gene. Then the common targets of ginseng, CRC, and TME were obtained by Venn diagram. Afterward, the Protein-protein interaction (PPI) network was constructed in the STRING 11.5 database, intersecting targets identified by PPI analysis were introduced into Cytoscape 3.8.2 software cytoHubba plugin, and the final determination of core targets was based on degree value. The OmicShare Tools platform was used to analyze the Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of the core targets. Autodock and PyMOL were used for molecular docking verification and visual data analysis of docking results. Finally, we verified the core targets by Gene Expression Profiling Interactive Analysis (GEPIA) and Human Protein Atlas (HPA) databases in bioinformatics. A total of 22 active ingredients and 202 targets were identified to be closely related to the TME of CRC. PPI network mapping identified SRC, STAT3, PIK3R1, HSP90AA1, and AKT1 as possible core targets. Go enrichment analysis showed that it was mainly involved in T cell co-stimulation, lymphocyte co-stimulation, growth hormone response, protein input, and other biological processes; KEGG pathway analysis found 123 related signal pathways, including EGFR tyrosine kinase inhibitor resistance, chemokine signaling pathway, VEGF signaling pathway, ErbB signaling pathway, PD-L1 expression and PD-1 checkpoint pathway in cancer, etc. The molecular docking results showed that the main chemical components of ginseng have a stable binding activity to the core targets. The results of the GEPIA database showed that the mRNA levels of PIK3R1 were significantly lowly expressed and HSP90AA1 was significantly highly expressed in CRC tissues. Analysis of the relationship between core target mRNA levels and the pathological stage of CRC showed that the levels of SRC changed significantly with the pathological stage. The HPA database results showed that the expression levels of SRC were increased in CRC tissues, while the expression of STAT3, PIK3R1, HSP90AA1, and AKT1 were decreased in CRC tissues. Ginseng may act on SRC, STAT3, PIK3R1, HSP90AA1, and AKT1 to regulate T cell costimulation, lymphocyte costimulation, growth hormone response, protein input as a molecular mechanism regulating TME for CRC. It reflects the multi-target and multi-pathway role of ginseng in modulating TME for CRC, which provides new ideas to further reveal its pharmacological basis, mechanism of action and new drug design and development.

Designing a multi-epitope construct using immuno-informatic tools to prepare a messenger RNA vaccine against Rhipicephalus microplus ticks

Background and Aim: Ticks are blood-feeding ectoparasites that transmit pathogens to animals and humans. One of the most important hard ticks in animals is Rhipicephalus microplus, which transmits Babesia and Anaplasma spp. Although many potential tick vaccine candidates have been identified, no effective vaccine that can provide sterile immunity against R. microplus tick infestations has been developed. This study aimed to design a construct using different computational tools to identify and predict immunogenic epitopes within protein sequences and to prepare a messenger RNA (mRNA) vaccine against R. microplus based on lipid nanoparticles (LNPs). Materials and Methods: The R. microplus proteins (Bm86, Subolesin, and ATAQ) were selected and their consensus sequence was obtained from the National Center for Biotechnology Information in FASTA format. The Immune Epitope Database and Analysis Resource (IEBD) server was used for the prediction of helper T-cell epitopes, the NetCTL 1.2 server was used to predict cytotoxic T-cell epitopes, and the ABCpred server was used for B-cell epitope prediction. Antigenicity testing, allergenicity assessment, and toxicity screening were immuno-informatic techniques used to identify potent epitopes within protein sequences. The multi-epitope construct was prepared and cloned into the pVAX1 plasmid. Plasmids were transformed in compatible competent cells, and restriction analysis was performed. After restriction analysis of the transformed plasmid, in vitro transcription was performed to prepare mRNA. The mRNA was purified, quantified, and converted into complementary DNA, and gene-specific primers were used to confirm the in vitro transcription of mRNA. A mixture of four lipids containing 1,2-dioleoyl-3-dimethylammonium-propane (DODAP), Distearoylphosphatidylcholine (DSPC, cholesterol, and 1,2-Dimyristoyl-sn-glycero-3-methoxypolyethylene glycol-2000 (DMG PEG-2000 was used to prepare LNPs. LNPs were characterized using a scanning electron microscope, Zeta potential, and Zeta Sizer tests. Results: More than 1000 epitopes were predicted, from which only nine helper T-lymphocytes, 18 cytotoxic T-lymphocytes, and nine B-cell epitopes of all three proteins were selected with high antigenic scores of 0.958 for Bm86, 0.752 for Subolesin, and 0.964 for ATAQ, respectively. An adjuvant was used to enhance immune responses, all of which were linked to one another using GPGPG, AAY, and KK linkers, respectively. The physiochemical properties predicted that the instability index of the construct would be <40%, indicating that the construct is stable. Plasmids were transformed in compatible competent cells, and white-transformed colonies were observed. Restriction analysis was performed, DNA was transcribed into mRNA, and LNPs were prepared and characterized. Conclusion: More than 1000 epitopes were predicted using immune informatic tools, and only high-scoring epitopes were selected. A multi-epitope construct was designed using bio-informatic tools, and its physicochemical properties were predicted. The design construct was inserted into the pVAX1 plasmid, and in vitro transcription was performed to prepare the mRNA. LNPs of mRNA were prepared and characterized to be used as vaccines. It was found that LNPs were stable and nanometer-sized. Keywords: immuno-informatic tools, lipid nanoparticles, multiepitope construct, Rhipicephalus microplus.

Genotyping and phylogenetic analysis of human Papillomaviruses from women with genital warts

Background and objectives. The pathophysiology of Human Papillomavirus (HPV) infections is dependent on the genotype of virus, the host immune system and the local environmental conditions. HPV infections are linked to a variety of benign and malignant disorders. Anogenital warts is a Sexually Transmitted Infection (STI) primarily caused by Low-Risk HPV (LR-HPV) genotypes 6 and 11. The aims were to Investigation of the prevalence and genotypic distribution of HPV in women with genital warts in Mosul/Iraq, HPV-DNA sequencing and Phylogenetic analysis including minimum spanning trees of amplified HPV L1 gene comparison the present sequences with similar genotypes in GenBank – National Center Biotechnology Information (NCBI) using mega-7-software. Materials and methods. A total of 150 samples were collected from women with genital wart infections. Polymerase Chain Reaction (PCR) was performed using GP+5/GP+6 and MY09/MY11 consensus primers. Results. About 84.6% prevalence of HPV genotypes. The highest frequency (32% and 28.6%) were observed in the 19-28 and 29-38 age groups. Conclusion. Women in Mosul, Iraq, who have genital warts are more likely to have different genotypes of HPV. HPV 11 type was found to be the most common, followed HPV6 and HPV10 as LR HPV, while HPV 16 and HPV45 were the most common as HR HPV. The analysis of the phylogenetic tree revealed a genetic relationship between our isolates and global isolates ranging from (10-100%) bootstrap ratio this indicating phylogenetic relationships (divergent and convergent evolution) this was meant the diversity in origin of the various genotypes common in Mosul, Iraq.

Recent Advancements in the Delivery of Therapeutic Agents Targeting RNA-dependent RNA Polymerase of SARS-CoV-2.

This study aimed to undertake a complete evaluation and analysis of all known data on RNA-dependent RNA polymerase (RdRp) inhibitors, concentrating on their safety, efficacy, and current improvements in the delivery of therapeutic drugs targeting RdRp of SARS-CoV-2. The work has attempted to emphasise the necessity for future research into the development of nanocarrier-based targeted drug delivery methods for RdRp inhibitors in the treatment of COVID-19. In December 2019, a novel SARS-- CoV-2 strain was discovered in Wuhan, China. SARS-CoV-2 is transferable among humans and has caused a global pandemic. The rapid global outbreak of SARS-CoV-2 and numerous deaths caused because of coronavirus disease (COVID-19) prompted the World Health Organization to announce a pandemic on March 12, 2020. COVID-19 is becoming a key concern that has a significant impact on an individual's life status. RdRp inhibitors are major pharmaceutical agents used in the treatment of COVID-19, which have various undesirable side effects, a greater risk of recurrence, lower bioavailability, as well as a lack of targeted therapy. Hence, the present article has provided a review on all known data on RdRp inhibitors, safety, and efficacy, and recent advances in the delivery of therapeutic agents targeting RdRp of SARS-CoV-2. An analysis has been done using a scientific data search engine, such as the National Center for Biotechnology Information (NCBI/PubMed), Science Direct, Google Scholar, WIPO, Lens, etc. The information has emphasized the need for more research into the safety, efficacy, and development of nanocarrier-based targeted drug delivery systems for RdRp inhibitors in the treatment of COVID-19.

Molecular identification of Hypomyces chrysospermus mycoparasitic fungus isolated from mushrooms in a local market of Iraq.

In this study, mycoparasitic fungus was identified by using the rDNA internal transcribed spacer barcode marker, i.e. ITS rDNA gene. Amplicons were sequenced and identified by NCBI - BLAST (Basic local alignment search tool). The BLAST results revealed that NOOR strain matched 100% with accession numbers [MH854754.1]. The phylogenetic tree shows close relationship between NOOR strain and H. chrysospermus [MH854754-1], H. chrysospermus [MZ389105-1], H. chrysospermus [MK605327- 1], H. chrysospermus [MT595227-1], H. [EU816370-1], H. chrysospermus [MG685885-1]. The Iraqi isolate was recorded as NOOR strain in the National Centre for Biotechnology Information for the first time in Iraq.

Population structure of the B0/W148 Mycobacterium tuberculosis subtype: Phylogenetic analysis and characteristics of genotypic drug resistance

Background. The B0/W148 subtype belongs to the L2phylogenetic lineage of Mycobacterium tuberculosis and is most common in the former Soviet Union. Test systems capable of detecting genetic variants of the pathogen are needed for effective epidemiological surveillance. Studying the genetic diversity of B0/W148 strains and finding molecular markers suitable for their genotyping are key steps in the development of such diagnostic tools.The aim of the work. To study the phylogenetic diversity of the B0/W148 subtype circulating in the territory of the Russian Federation and neighboring countries in order to identify unique clades and search for specific molecular markers suitable for their precise identification.Materials and methods. The study used DNA samples of B0/W148 strains (n = 34) isolated in different regions of the Russian Federation, as well as genomic data obtained from the SRA NCBI (Sequence Read Archive of the National Center for Biotechnology Information) (n = 419). Phylogenetic analysis and principal component analysis (PCA) of whole genome sequencing (WGS) data were used to analyze genetic diversity and to identify molecular markers. An evolutionary reconstruction of the age of the identified clades was carried out.Results. The analysis of the B0/W148 genomes (n = 453) revealed that they are divided into three phylogenetic clades: B – basal, M – minor and P – principal. It was found that specific mutations in the M and P clades allow for their differential diagnosis. The 4137219T>G mutation is unique for the M clade, and the 2241091C>T mutation is unique for the P clade. No characteristic mutations were found among the strains of B clade. In addition, unique mutation profiles in the genes responsible for drug resistance were identified for the clades.Conclusion. The study showed that B0/W148 strains represent a genetically heterogeneous population divided into B, M and P clades. M and P Clades have unique mutations that allow for their identification. It was also found that all clades are characterized by the presence of specific mutation profiles in drug resistance genes.