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DNA Viruses

DNA viruses are a diverse group of viruses that contain genetic material in the form of deoxyribonucleic acid (DNA).
These viruses can infect a wide range of hosts, including humans, animals, plants, and even other microorganisms.
DNA viruses play a crucial role in various biological processes and can have significant implications for human health and disease.
PubCompare.ai's AI-driven platform can enhance your DNA virus research by locating the best protocols from literature, preprints, and patents, helping you identify the most accurate and reproducibile methods and optimizing your research process.
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Most cited protocols related to «DNA Viruses»

We built ColabFoldDB by expanding BFD/MGnify with metagenomic sequences from various environments. To update the database we searched the proteins from the SMAG (eukaryotes)14 (link), MetaEuk (eukaryotes)13 (link), TOPAZ (eukaryotes)15 , MGV (DNA viruses)16 (link), GPD (bacteriophages)17 (link) and an updated version of MetaClust18 (link) against the BFD/MGnify centroids using MMseqs2 and assigned each sequence to the respective cluster if they have a 30% sequence identity at a 90% sequence overlap (-c 0.9 --cov-mode 1 --min-seq-id 0.3). All remaining sequences were clustered using MMseqs2 cluster -c 0.9 --cov-mode 1 --min-seq-id 0.3 and appended to the database. We remove redundancy per cluster by keeping the most 10 diverse sequences using mmseqs filterresult --diff 10. The final database consists of 209,335,865 million representative sequences and 738,695,580 members (see the Data Availability section for the input files). We provide the MMseqs2 search workflow used in the server (Methods 2.2.1) as a standalone script (colabfold_search).
Publication 2022
Bacteriophages DNA Viruses Eukaryota Metagenome Proteins Topaz resin
To generate training and testing datasets, sequences representing bacteria, archaea, plasmids, and viruses were downloaded from the National Center for Biotechnology Information (NCBI) RefSeq and Genbank databases (accessed July 2019) (Additional File 1: Table S1). For bacteria/archaea, 181 genomes were chosen by selecting from diverse phylogenetic groups. Likewise, a total of 1452 bacterial plasmids were chosen. For viruses, NCBI taxids associated with viruses that infect bacteria or archaea were used to download reference virus genomes, which were then limited to only sequences above 3 kb. This included viruses with both DNA and RNA genomes, though RNA genomes must first be converted to complementary DNA. Sequences not associated with genomes, such as partial genomic regions, were identified according to sequence headers and removed. This resulted in 15,238 total viral partial and complete genomes. To be consistent between all sequences acquired from NCBI, proteins and genes were predicted using Prodigal (-p meta, v2.6.3) [50 (link)]. All sequences were split into non-overlapping, non-redundant fragments between 3 and 15 kb to simulate metagenome-assembled scaffolds. These simulated scaffolds are hereafter called fragments and were used throughout training and testing VIBRANT. For RNA virus detection, 33 viral (bacteriophage) genomes from NCBI RefSeq and 37 from Krishnamurthy et al. were used [51 (link)], and for archaeal virus detection, all genomes were acquired from NCBI RefSeq. The RNA and archaeal viral genomes were represented in both the training and testing datasets as genomic fragments, and recall evaluation was performed on whole genomes. These were the only datasets in which training and evaluation datasets were semi-redundant. See Supplemental Methods (Additional File 16) for additional datasets and sequences used.
Integrated viruses are common in both bacteria and archaea. To address this for generating a dataset devoid of viruses, PHASTER (accessed July 2019) was used to predict putative integrated viruses in the 181 bacteria/archaea genomes. Using BLASTn [52 (link)], any fragments that had significant similarity (at least 95% identity, at least 3 kb coverage, and e-value < 1e−10) to the PHASTER predictions were removed as contaminant virus sequence. The new bacteria/archaea dataset was considered depleted of proviruses but not entirely devoid of contamination. Next, the datasets for bacteria/archaea and plasmids were annotated with KEGG, Pfam, and VOG HMMs (hmmsearch (v3.1), e-value < 1e−5) [53 (link)] to further remove contaminant virus sequence (see next section for details of HMMs). Plasmids were included because it was noted that the dataset appeared to contain virus sequences, possibly due to misclassification of episomal proviruses as plasmids. Using manual inspection of the KEGG, Pfam, and VOG annotations, any sequence that clearly belonged to a virus was removed. Manual inspection was guided first by the number of KEGG, Pfam, and VOG annotations and then by the annotations themselves. For example, sequences with more VOG than KEGG or Pfam annotations were inspected and removed if multiple viral hallmark genes were found or if the majority of annotations represented viral-like genes. The final datasets consisted of 400,291 fragments for bacteria/archaea, 14,739 for plasmids, and 111,963 for viruses. Total number of fragments for all datasets used can be found in Additional File 2: Table S2.
Publication 2020
Archaea Archaeal Viruses Bacteria Bacteriophages DNA, Complementary DNA, Viral DNA Viruses Episomes Genes Genes, Viral Genome Genome, Archaeal Hypertelorism, Severe, With Midface Prominence, Myopia, Mental Retardation, And Bone Fragility Mental Recall Metagenome Plasmids Proteins Proviruses RNA Viruses Satellite Viruses Viral Genome Virus
We developed standard operating procedures (SOPs) in the clinical laboratory for processing and analyzing CSF samples by mNGS. Each of the “wet lab” and bioinformatics processing steps was optimized to ensure sensitive and accurate organism detection (Schlaberg et al. 2017a (link)). The mNGS assay workflow was performed as follows (Fig. 1), with a more detailed description provided in the Supplemental Methods. Briefly, each CSF sample was first subjected to bead-beating to lyse organisms (Fig. 1A), followed by addition (“spiking”) of T1 (DNA) and MS2 (RNA) bacteriophages as an internal control (IC). Total nucleic acid was then extracted and split into two aliquots for construction of separate DNA and RNA libraries. Microbial sequences were enriched by antibody-based removal of methylated host DNA (for DNA libraries) or DNase treatment (for RNA libraries), followed by transposon-based library construction (Fig. 1B). Each sequencing run on an Illumina HiSeq instrument included up to eight samples, along with a negative “no template” control consisting of elution buffer, intended to allow for sensitive detection of contamination, and a positive control consisting of a mixture of seven representative pathogenic organisms (RNA virus, DNA virus, Gram-positive bacterium, Gram-negative bacterium, fungus, mold, and parasite).
Sequence analysis was performed using the SURPI+ computational pipeline (Fig. 1C; Supplemental Methods), an automated clinical version of the previously published SURPI (“sequence-based ultrarapid pathogen identification”) research pipeline (Naccache et al. 2014 (link)). Receiver-operator curve analyses were performed as part of the accuracy study to determine optimal threshold values for organism detection (Supplemental Methods), using 95 clinical CSF samples with established microbiological results. These pre-established thresholds were then finalized and used for all subsequent clinical mNGS runs. Each mNGS run was analyzed by experienced laboratory physicians (S.M. and C.Y.C.), and results were generated for five categories per sample (RNA virus, DNA virus, bacteria, fungi, and parasite). Run quality control (QC) metrics included a minimum of 5 million reads per library, ≥100 reads per million for the IC T1 and MS2 phages in the DNA and RNA libraries, respectively, and positive qualitative detection of each of the seven organisms in the PC.
Publication 2019
Bacteria Biological Assay Buffers Clinical Laboratory Techniques Deoxyribonucleases DNA Library DNA Viruses Fungi Fungus, Filamentous Gram-Positive Bacteria Gram Negative Bacteria Immunoglobulins Jumping Genes Nucleic Acids Parasites Pathogenicity Phage MS2 Physicians RNA Phages RNA Viruses Sequence Analysis
For the construction of the NCVOGs, we used 45 annotated protein sets of Nucleo-Cytoplasmic Large DNA viruses (NCLDV) (see Additional File 6; 5 closely related Orthopoxviruses were not included).
The conceptual proteomes of Marseillevirus and Mamavirus were obtained by translation of the respective genomic nucleotide sequences using the GeneMark software [44 (link)]. Other proteomes were downloaded from GenBank http://www.ncbi.nlm.nih.gov/. The complete data set consisted of 11,219 protein sequences. The procedure of NCVOG construction involved the following steps.
1) Ankyrin repeat-containing proteins were the most abundant proteins in the data set (~400 proteins, or 3.5% of the data set). Owing to the low sequence complexity of these proteins, they produced large number of false-positive hits during similarity searches. These proteins were removed from the data set prior to clustering.
2) All-against-all BLASTP [45 (link)] search and initial clustering was performed using a modified COG construction algorithm [30 (link)]. At this step, 7,804 proteins were grouped into 1,571 clusters.
3) Multiple alignments of the initial cluster members were constructed using the MUSCLE program [46 (link)]. The alignments were used to construct position-specific scoring matrices (PSSM) for a PSI-BLAST search against the NCLDV protein dataset. Hits with e-values below 0.01 were reviewed, and clusters were merged when appropriate.
4) Clusters were further manually checked and edited using BLASTCLUST http://www.ncbi.nlm.nih.gov/IEB/ToolBox/C_DOC/lxr/source/doc/blast/blastclust.html and RPS-BLAST [47 (link)]. As a result of these refinement procedures, 1,445 NCVOGs consisting of 9,261 proteins were obtained.
5) The NCVOGs were manually annotated on the basis of RPS-BLAST and PSI-BLAST hits of cluster members.
The NCVOGs are available at ftp://ftp.ncbi.nih.gov/pub/wolf/COGs/NCVOG/.
Publication 2009
Amino Acid Sequence Base Sequence Cytoplasm DNA Viruses Genome Muscle Tissue Orthopoxvirus Proteins Proteome PSMD10 protein, human SET protein, human Wolves
The extracted RNA was processed for random reverse transcription as previously described [1 (link),2 (link)] using the FR26RV-N primer (5' GCC GGA GCT CTG CAG ATA TCN NNN NN 3') at a concentration of 1 μM. In addition, FR40RV-T (5' GCC GGA GCT CTG CAG ATA TC (T)20 3') was added at a concentration of 5 nM to specifically amplify the 3' end of positive strand viruses. After the first cDNA synthesis, the double stranded cDNA was synthesized by Klenow reaction the presence of random primers. In order to amplify 5' ends of rhinoviruses the following primer was added to the Klenow reaction at a concentration of 10–20 nM (5'GCC GGA GCT CTG CAG ATA TC TTA AAA CTG G 3'). PCR amplification used high fidelity Taq Gold DNA polymerase (ABI) with the FR20RV primer (5' GCC GGA GCT CTG CAG ATA TC 3'). PCR amplicons were A-tailed with dATP and 5 units of low fidelity DNA polymerase (Invitrogen) at 72°C for 30 minutes. A-tailed PCR amplicons were analyzed in a 1% agarose gel and fragments between 500 and 1000 nt were gel purified. Amplicons were ligated en masse into the Topo TA cloning vector (Invitrogen) and transformed into competent one shot Topo top 10 bacterial cells (Invitrogen). For DNA viruses, the purified viral DNA was denatured and complementary strands synthesized by Klenow reaction as indicated for ds-cDNA from first strand cDNA. Clones were plated on LB/Amp/XGal agar, and individual colonies were picked for sequencing. The clones were sequenced bidirectionally using the M13 primers from the topo TA vector. We routinely sequenced a total of 192 or more per library. Sequencing reactions were performed at the Joint Technology Center (an affiliate of the J Craig Venter Institute: JCVI) on an ABI 3730 xl sequencing system using Big Dye Terminator chemistry (Applied Biosystems).
Publication 2008
A-192 Agar Anabolism Bacteria Cells Clone Cells Cloning Vectors DNA, Complementary DNA, Viral DNA-Directed DNA Polymerase DNA Library DNA Viruses Gold Joints Oligonucleotide Primers Rhinovirus Sepharose Taq Polymerase trioctyl phosphine oxide Virus

Most recents protocols related to «DNA Viruses»

DNA extraction from pure cultures of the Norwegian KpSC pig isolates was performed by using a MagNA Pure 96 instrument (Roche) with the DNA/Viral NA SV 2.0 kit and the pathogen universal 200 4.0 protocol. Sequencing library preparation was performed by using the Illumina Nextera DNA Flex library prep kit (Illumina), followed by sequencing on an Illumina MiSeq instrument, producing paired-end reads with a length of 300 bp.
The genomes of the KpSC originating from pig isolates from Thailand were available from a previous study [16 (link)]. A total of 87 genomes were included.
Publication 2023
DNA Library DNA Viruses Genome Pathogenicity
Virus isolation was performed using C6/36 Aedes albopictus cells. Mosquito homogenates were centrifuged at 4°C for 20 min at 12,000 rpm in a high-speed refrigerated centrifuge, and 40 μL of supernatant was aspirated and inoculated into a single layer of C6/36 cells in a 24-well plate and grown for 1 day (2 wells/sample). Two wells per plate of cell controls were set up and incubated at 32°C. Cytopathic effects (CPE) were observed and recorded continuously for 4–7 days. Isolates with obvious or suspected CPE were freeze-thawed once and transferred to 25-cm2 cell bottles for blind transmission to 3–6 generations. Viral isolates with regular CPE were freeze-thawed once and then aspirated into a freezing tube at −40°C for identification. During virus isolation, the group of C6/36 Aedes albopictus cell without mosquito supernatant was cultured as negative control.
Virus-specific RT-PCR was performed to identify the viral isolates. The viral nucleic acid was extracted using the ZYBIO Magnetic Beads Virus DNA/RNA Extraction Kit (ZYBIO, Chongqing, China) and the QIAamp® Viral RNA Mini Kit (Qiagen, Hilden, Germany) and reverse transcribed using M-MLV Reverse Transcriptase (Promega, Madison, WI, United States). Based on the literature, we synthesized PCR, detection, and Sanger sequencing primers (Supplementary Table S2) for a variety of arboviruses, such as flaviviruses, alphaviruses, and viruses in the family Reoviridae, and then designed primers from newly discovered viral sequences from Yunnan and Guangxi provinces published in recent years (GoTaq® Green Master Mix, Promega). Next, next-generation sequencing (NGS) was performed to detect viruses in the isolates with CEP, but negative for RT-PCR using the designed primers. A sequencing library was constructed using the NEBNext Ultra II Directional RNA Library Prep Kit (Illumina, San Diego, CA, United States). The library was subsequently sequenced on an Illumina NovaSeq 6000 (PE150) sequencing platform. Trimmomatic v0.36 (Bolger et al., 2014 (link)) was used to remove low-quality and short reads, and SPAdes v3.13.0 (Nurk et al., 2013 (link)) was used for metagenomic assembly. Blastn and Blastx were used to search for viral contigs. PCR detection and Sanger sequencing were performed using redesigned primers based on the viruses detected in samples with unknown viruses.
Publication 2023
Aedes Alphavirus Arboviruses Culicidae Cytopathogenic Effect, Viral DNA Library DNA Viruses Flavivirus isolation Metagenome Nucleic Acids Oligonucleotide Primers Promega Reoviridae Reverse Transcriptase Polymerase Chain Reaction RNA, Viral RNA-Directed DNA Polymerase RNA Viruses Transmission, Communicable Disease Virus Visually Impaired Persons Yunnan orbivirus
We used a phylogenetic approach to taxonomically assign our putative viral sequences and infer their evolutionary histories. First, we aligned our putative viral sequences with complete sequences of related viruses available on NCBI/GenBank (August 2021) using MAFFT v.7.450, with the E-INS-i algorithm (Katoh and Standley 2013 (link)). While some of these sequences were partial, they are adequate for phylogenetic analysis (Geoghegan et al. 2021 ). We used background sequences from the similarity search as well as additional sequences listed by the International Committee of Viral Taxonomy (ICTV) (https://talk.ictvonline.org) for each viral family. These included the conserved RNA-dependent RNA polymerase (RdRp) for RNA viruses and the DNA polymerase and major capsid protein for DNA viruses. The amino acid sequence alignment was trimmed using TrimAl v.1.2 to remove ambiguously aligned regions with a gap threshold of 0.9 and a variable conserve value (Capella-Gutierrez, Silla-Martinez, and Gabaldon 2009 (link)). The best-fit model of amino acid substitution was estimated with the ‘ModelFinder Plus’ (-m MFP) flag in IQ-TREE (Nguyen et al. 2015 (link); Kalyaanamoorthy et al. 2017 (link)). Using these data, we estimated phylogenetic trees using a maximum likelihood approach with 1,000 bootstrap replicates using IQ-TREE. Trees were annotated using FigTree v1.4.4 (http://tree.bio.ed.ac.uk/software%20/figtree/).
Phylogenetic position and level of sequence similarity were used to determine whether a viral sequence was likely infecting fish (i.e. ‘vertebrate-associated’) or derived from diet or environment (i.e. ‘non-vertebrate’): the latter often exhibits considerable genetic divergence and hence are phylogenetically distinct (Shi et al. 2018 (link); Zhang et al. 2018 (link); Costa et al. 2021 ; Geoghegan et al. 2021 ). Vertebrate-associated viral sequences were classified as novel species according to similarity thresholds for each viral family as specified by the ICTV.
Publication 2023
Amino Acids Amino Acid Substitution Biological Evolution Capsid Proteins Diet DNA-Directed DNA Polymerase DNA Viruses Fishes Genetic Drift Ribs RNA-Directed RNA Polymerase RNA Viruses Satellite Viruses Sequence Alignment Speech Trees Vertebrates
The answers for two questions on ‘epidemic potential’ (see Table 2) were pre‐filled by EFSA, as they could be objectively answered, to reduce the MSs' workload. However, respondents were given the chance to change those answers given in case they disagreed with them.
For the question on ‘likelihood of human‐to‐human transmission’, ‘high’ was assigned to diseases with airborne transmission (e.g. COVID‐19). ‘Medium’ was assigned to diseases transmitted through contact, which does not necessarily need to be close contact. Such diseases may result in outbreaks (e.g. Ebola virus disease). ‘Low’ was assigned to diseases requiring close contact with an infected person or their body fluids. Such diseases may result in single cases, especially among family members or caregivers (e.g. Q‐fever, glanders). ‘No or negligible human‐to‐human transmission’ was assigned when the disease was not considered transmissible between humans or transmission was only possible through the placenta, blood transfusion or organ donation.
For the question on ‘adaptability of the agent’, ‘slow’ was assigned to bacteria, parasites and DNA viruses, while ‘fast’ was assigned to most RNA viruses. The distinction by pathogen type was made due to the difficulty in finding information on respective mutation rates or cut‐off values used.
Publication 2023
Bacteria Blood Transfusion Body Fluids COVID 19 Disease Outbreaks DNA Viruses Epidemics Family Member Glanders Hemorrhagic Fever, Ebola Homo sapiens Organ Transplantation Parasites pathogenesis Placenta Q Fever RNA Viruses Transmission, Communicable Disease
Reference was made to published studies; four common and important DNA viruses were used to evaluate the specificity of the RAA assay [10 (link),50 (link)]. The five viruses are goat pox virus, sheep pox virus, African swine fever virus, bovine papular stomatitis virus and pseudorabies virus. African swine fever virus is stored in Biosafety Laboratory Level 3, Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences. Viral RNA of the four viruses was extracted as a template to evaluate the specificity of the RAA assay.
Publication 2023
African Swine Fever Virus Biological Assay Cattle Chinese DNA Viruses Goatpox virus RNA, Viral Sheeppox virus Stomatitis Suid Herpesvirus 1 Virus

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More about "DNA Viruses"

DNA viruses are a diverse class of viruses that contain their genetic material in the form of deoxyribonucleic acid (DNA).
These pathogens can infect a wide array of hosts, including humans, animals, plants, and even other microorganisms.
DNA viruses play a crucial role in various biological processes and can have significant implications for human health and disease.
The study of DNA viruses is a crucial area of research, as these viruses are associated with a range of medical conditions, such as viral infections, cancer, and genetic disorders.
Researchers utilize a variety of tools and techniques to investigate the properties, behavior, and impact of DNA viruses, including nucleic acid extraction kits like the Quick-DNA/RNA Viral Kit, RTP DNA/RNA Virus Mini Kit, TIANamp Virus DNA/RNA Kit, Quick-DNA/RNA Viral MagBead kit, and QIAamp Viral RNA Mini Kit.
Advancements in technology, such as the StepOnePlus Real-Time PCR System, Lipofectamine 3000, and QIAamp DNA Mini Kit, have greatly enhanced the ability to detect, analyze, and manipulate DNA viruses.
These platforms provide researchers with the means to perform accurate and reproducible experiments, optimize their research processes, and gain valuable insights into the complex world of DNA viruses.
PubCompare.ai's AI-driven platform can further bolster DNA virus research by locating the best protocols from literature, preprints, and patents.
The platform's intelligent comparisons help researchers identify the most accurate and reproducible methods, thereby optimizing their research process and taking their DNA virus studies to new heights.
By harnessing the power of AI-driven analysis, researchers can unlock new possibilities in the field of DNA virus research and contribute to advancements in human health and disease management.