Science topic

Viral Genome - Science topic

Viral Genome is the complete genetic complement contained in a DNA or RNA molecule in a virus.
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Hello everyone,
I am currently looking for tools to recovery viral genomes from bacterial genomes, not metagenomes. However, I have only found tools that are designed for retrieving and studying viral genomes from metagenomes, not from genomes.
And here are the tools.
VIBRANT
VirSorter
VirFinder
geNomad
VirusSeeker
Prophage Hunter ; A tool for prophage sequence prediction.
PHASTER (PHAge Search Tool Enhanced Release): An online tool for identifying pro-phage sequences in bacterial genomes.
PHAST, ACLAME, or PHASTER ; comparative genomics and functional analysis
Could you help me find suitable tools for recovery viral genomes from bacterial genomes?
My project focuses on exploring viral genomes in the first phase.
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Recovering viruses from bacterial genomes involves extracting bacterial DNA, detecting and isolating viral sequences, and characterizing the virus. The exact methods and techniques may vary depending on the type of virus and the specifics of the bacterial system
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Hi
My team and I are trying to design degenerated primers in order to sequence a viral genome. We do not know how many degeneration we can include in each primer. Is it possible to add up to 6/10 degenerations in primers of 20-24 nt?
Thank you.
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Thank you for your help
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I am working on the HIV genome extraction from samples which nearly 2 years old.
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we use a storage duration of 2 year below -30°C for HIV-RNA run controls (<10% decline). I would expect some decline at -20°C is present. Following several preparations over time we have seen there is no general deterioration of HIV-RNA
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GUITC and GUHCL are two chaotropic salts used in nucleic acid extraction.
I've noticed that GUITC is more commonly used for viruses. What's the difference between these?
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Guanidine thiocyanate is a stronger protein denaturant agent that is more commonly used in RNA isolation, while guanidine hydrochloride is a weaker protein denaturant that is less commonly used in RNA isolation. Thus, this is the key difference between guanidine thiocyanate and guanidine hydrochloride.
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I have the following question: I have a nested PCR protocol that uses a chemically modified hot-start polymerase. However, in the lab, I have a hot-start polymerase, but bounded to an antibody. The purpose of the PCR reaction is to amplify a specific fragment of a viral genome, which will subsequently be sequenced by the Sanger method. The question is, can I use the polymerase I have, and will the antibody that blocks the polymerase activity before the appropriate temperature, interfere with the subsequent sequencing analysis? Thank you for your answers!
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please read whole the answer .
Yes, you can use a hot-start polymerase for amplifying PCR products before sequencing. Hot-start polymerases are designed to minimize non-specific amplification and primer-dimer formation during PCR setup by blocking the polymerase activity at lower temperatures. This feature helps to improve the specificity and efficiency of PCR amplification.
Using a hot-start polymerase can be particularly beneficial when amplifying PCR products for sequencing, as it helps to reduce background noise and improve the quality of the sequencing results. By preventing non-specific amplification, the hot-start polymerase can help ensure that the amplified product corresponds to the intended target sequence, leading to more accurate sequencing data.
There are different types of hot-start approaches available, including antibody-based methods and chemically modified polymerases. Antibody-based hot-start polymerases typically use antibodies to block the polymerase activity at lower temperatures, which is then released during the initial denaturation step of PCR when the temperature is raised. This ensures that the polymerase becomes active only at the optimal temperature for PCR amplification.
It's important to note that the choice of polymerase depends on various factors, including the specific requirements of your experiment and the compatibility of the polymerase with the sequencing method you plan to use. Therefore, it is recommended to carefully select a hot-start polymerase that is compatible with your specific sequencing protocol and follow the manufacturer's instructions for optimal performance.
Using a hot-start polymerase that is bound to an antibody for nested PCR amplification should not interfere with the subsequent sequencing analysis. The antibody that blocks the polymerase activity at lower temperatures is designed to be released and activate the polymerase at the optimal temperature for PCR amplification.
Once the PCR amplification is complete and the desired fragment of the viral genome is amplified, the antibody-bound polymerase will have been fully activated and catalyzed the synthesis of the PCR product. At this point, the polymerase will no longer be bound to the antibody and any remaining antibody will not interfere with the subsequent steps, including sequencing.
For Sanger sequencing, the amplified PCR product is typically purified to remove any remaining primers, dNTPs, enzymes, and other contaminants. The purification process, such as using spin columns or enzymatic purification kits, will effectively remove the antibody and any other residual components of the PCR reaction. The purified PCR product can then be used as the template for Sanger sequencing, and the sequencing reaction will proceed without interference from the hot-start polymerase or its antibody.
However, it's always a good practice to confirm the compatibility of your specific hot-start polymerase and antibody combination with the downstream sequencing method you plan to use. You may want to consult the manufacturer's guidelines or perform some pilot experiments to ensure that the hot-start polymerase you have and its associated antibody do not interfere with the sequencing analysis.
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For double-stranded DNA viruses such as HSV, which protein plays a function to bind viral genome similar to that of SARS-CoV-2 Nucleocapsid protein?
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ICP8 or the other homolog in the genome might be what you are after.
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Hi! I amplified overlapping PCR products of the same viral genome region from the same sample using two different primer sets. I sequenced both products and there's one nucleotide difference in the result where they overlap. There's no double peak, the result is clear and obvious in both electropherograms. This happens reproducibly and with several samples. What could be causing this?
Thanks for any advice!
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Thank you for the files Agnes Dencs . The traces are very strong at one end and very weak at the other. This looks like either you are using too much dna template or too much sequencing primer and the chemistry is running out at short sequences. I would not read sample 8.2 until the sequence ggAgA base 34 up to base 359 CTTgA. I would also trim sample 412f at base 19 ggAgA to base 170 gAAgT because the signal is too strong at one end and too weak at the other. Peak spacing is a problem when the signal strength is weak an we see irregular spacing of the peaks with weak signal and they cannot be trusted.. If we include only those bases that are trustworthy then your odd sequenced base is not included. Iwould not trust the sequencing here. I expect if the template to primer ratio was correct that the odd bases would not appear
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I'm working on viral genome sequences (hundreds sequences) to obtain the frequency of particular mutation in that group. I'm relatively new on genome analysis field, so I have been doing it manually by submitting the sequence to a database and take record of every mutation, one sequence at a time. It takes plenty of time, and also risk of error in taking record.
Is there any software that can help me to analyze all the sequences at one time so I will be able to obtain accurate mutation frequency?
Thank you so much for responding me.
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You should be looking to produce a VCF (variant call format) file for your samples. This requires all samples to be sequenced, then the reads mapped to a reference genome (same across all samples), then variants called.
Once you have done this, you can get the information you need about each variant position in the genome across all samples from this file.
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I have found recombination in a certain caliciviridae virus which was detected by sequencing its partial capsid and polymerase region. It was not possible for me to perform a complete genome sequencing at this moment. How could I do analysis with this partial sequence in SimPlot version 3.5.1? Can anyone please give me step-by-step procedure to perform the analysis? It would be a great help. Thanks.  
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You can use our SimPlot++ software (available for Windows, Mac and Linux) to perform the analysis: https://github.com/Stephane-S/Simplot_PlusPlus
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Instead of rolling circle amplification, can the viral genome be amplified using gene specific primers, like the normal genes, cloned into plant transformation vector and then transformed into plant using Agrobacterium?
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Keep in mind that cloning and entire viral genome may change the biosafety level of your plants. As your in a viral lab you should already have the paperwork in place for working with the virus, just make sure you update your permissions to include these plants.
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I am trying to clone a viral genome into a plant. For this, I am amplifying the viral genome by rolling circle amplification using phi 29 DNA polymerase, random hexamer primers and alkaline phosphatase. I am not sure what concentration of the components are required for a reaction. Can anybody help me regarding this?
Thanks in advance
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Likhith R K You can use the protocol as a starting point and optimize according to your needs.
For a 20microlitre reaction the composition is as follows:
10x buffer - 2microlitre
10mM dNTP - 2microlitre
Random hexamer - 2microlitre
Template - variable
Make up the volume to 17.4microlitre with nuclease-free water
Incubate the above components at 950C for 3mins and cool on ice.
Add the following components:
Pyrophosphatase (1:9 - Enzyme:buffer) - 2microlitre
Phi29 polymerase - 0.6microlitre
Incubate at 30degree Celcius for 18hrs.
Hope this helps. Good luck with your experiment.
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I know phi 29 DNA polymerase is sued to amplify the viral genome. Can the Pfu DNA polymerase be used to amplify the viral genome instead of phi 29 DNA polymerase?
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I used it for HBV which is circular partially single stranded (Incomplete ds) DNA virus and it works.
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I'm curious to learn more about virus detection.
What are reliable methods for detecting viruses inside a host?
If a virus integrates into the host genome, if given a viral sequence, is analyzing the host genome for matches reliable? In other words, is it impossible for viral genomes to change before attaching to the host genome?
If a virus doesn't integrate, is scanning for viral proteins sufficient? Presumably scanning for viral sequences is not possible as the viral genome is not exposed?
Put another way, what evasion mechanisms do viruses deploy to avoid detection?
Thanks in advance for your help!
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Kindly check the following RG link that discusses commonly used techniques for the detection and diagnosis of viruses in clinical samples.
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Is genomic RNA spiked in VTM is more stable than the viral genomes present in the VTM collected from clinical samples.
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To the best of my knowledge, VTM or UTM media are designed to stabilize whole virus particles (genomic RNA encapsulated in the virus capsid) for transportation purposes and are not recommended for non-encapsulated or naked RNA. There are other RNA stabilizing chemicals for the purpose, such as isopropanol, Trizol etc.
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I am attempting to clone a mutant gene into a large (~22 kb) plasmid containing a viral genome and just recently realized that the established method of restriction cloning that was used successfully in the past will not work in this instance due to the location of one of the cut sites. My immediate thought is to use Gibson assembly and forego restriction enzymes altogether, though I am hesitant because I don't have any experience using Gibson in such large constructs. Does anyone have any experience with this or similar situations (large expression vectors, BACs, etc.)? Any contributions are helpful
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I used Gibson assembly once for my plasmid but I was trying to generate a library of compounds and I did not get enough efficiency, but I did get some clones. You can also try some overlapping PCR steps to generate some of the inserts and then, RD/ligation.
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  1. AS we are looking for a vaccine for COVID-19 causing virus so, Itis important to know about genetic variations of SARS-COV-2 virus
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Mutations arise as a natural by-product of viral replication. It refers to the actual change in sequence: D614G is an aspartic acid-to-glycine substitution at position 614 of the spike glycoprotein. Genomes that differ in sequence are often called variants. This term is somewhat less precise because 2 variants can differ by 1 mutation or many. Strictly speaking, a variant is a strain when it has a demonstrably different phenotype. Some of these mutations may make the virus more virulent and spread faster, and some mutations may also lead to the virus loses some of its virulence factors. Mutations are an uncontrolled process that occurs due to faster viral replication...For more information kindly check the following link:
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Hi!
I'm looking to use Oxford Nanopore technology for a project I'm working on- I'll need to sequence phage genomes (from faeces) - both RNA and DNA. Our lab already has the MinION Mk1b application but I've not used it before. If anyone has done similar work i'd be really grateful for any general advise or warnings of pitfalls to avoid. Very open question - but would be helpful to learn from experiences!
Thanks Aoife
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Oxford nanopore technology is good one. You should prepare quality samples like avoid host DNA contamination. Try to chose the correct assembler.
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Hello,
I have just started working on viral genome mapping using Geneious. I did De Novo assembly of raw reads and then performed blast search of the contigs from De Novo. I got the longest contig matches with one of the reference sequence of the same virus species. Using this sequence as a reference, I tried to align the raw reads. What I found that half of the reads overlapped on the ref sequence and several contigs extend beyond the reference sequence. At the same time there are gaps between the aligned contigs and I did not get the expected length of the genome.
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I agree with Yanpeng Li, you need to prepare more individual cDNA libraries with higher sequencing depth, or perform PCR and Sanger sequencing with specific primers designed based on the obtained contigs.
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The rationale would be to have enough confidence in calling a variant. Thanks, all!
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Thank you Abhijeet Singh and Mathew A Beale - this is very helpful.
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Do kits such as the NEBNext microbiome DNA enrichment kits really work for the enrichment of (all) viral DNA and how species specific is the host DNA removal (I'm working with bovine blood samples)? Any practical experience?
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Hi, did any one try with Genomiphi™ V2 DNA Amplification Kit ?
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Dear All,
I have a question regarding the submission of the complete viral genome "FASTA format".
I don't know which option should I choose at the features step.
It is Avian Corona virus. with polyprotien. Should the CDS option didn't work for me. Because the NCBI consider the complete genome as only one CDS and subsequently it gives me an error due to stop codon.
please, any help will be much appreciated.
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Amro Hashish I hope you are using BankIt format for submission of this viral genome.
You can add the features by completing input form and define each gene. However, alternatively, you can submit the complete viral genome by sending email to GenBank submission at gb-sub@ncbi.nlm.nih.gov. This would be much easier.
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Based on the information widely shared in the news and social media, the COVID-19 virus infection impairs the ability of the infected individuals to breath (and oxygenate the blood). This impairment in individuals leads to hospitalization (to breathe through a ventilator). To regain the ability to breath independent of a ventilator in due course is a desired outcome. Of interest, recent reports suggest that the virus could also affect other organ systems and tissues, including the heart and kidneys. The involvement of heart could lead to heart arrhythmias and involvement of kidneys could lead to renal failure. There is also possibility of blood clots. Therefore, more information about COVID-19 virus associated pathologies is needed to manage the risk after an infection with the virus. At present, testing for the viral genome and antibodies against the virus is not widely available in most places. Therefore, the best course of action is to avoid an infection by the virus by taking all precautions and closely following the recommendations by experts in the field.
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Nice replied by Rajkumar
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I have two groups of viral sequences classified by year of isolation. How do I compare between these groups to determine any genetic differences that may have contributed to an increase in the infection rate of the virus?
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Make Phylogenetic tree with the orthologues of the viral genomes. Use partition and concatenation technique.
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Hello everyone,
I was looking to download the FASTA file from NCBI (https://www.ncbi.nlm.nih.gov/genome/) containing the full genome of one of the viruses. Now, I have downloaded the entire nucleotide sequence without any annotations and that is fine.
However, I was wondering if it is possible to download the same thing, but with annotated genes like a multi-FASTA file. In the case of 2 or 3 individual genes, I could download their respective single FASTA files, but since the viral genome has many genes, it would be time-consuming to download every single one of them individually. Is there any way to do this?
Thank you very much.
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Download the sequence in different formats according to the attached image.
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Hello all,
How we can use publicly available (SRA, ENA)WGS data of viral genome for functional characterization of the viral genome. Share your opinion
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Hi!,
You can download all the raw data from the NCBI using the sra toolkit to your server. The general code is:
fastq-dump --outdir /here you write your directory/ --split-files /home/[USER]/ncbi/public/sra/SRR925811.sra
After, you can use different tools to work with this data, you can perform BLAST, make FastQC analysis to confirm the quality of the reads, and the most common way is creating your own assembly with the reads to identify specific genes that your are interested on. For this, you can create for example a DeNovo Assembly and use different software like SOAP De Novo, Trinity...
I hope this can help you.
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Dear All,
I am searching for a tool or an R/python Script that can take two nucleotide sequences as inputs and test if where they are complementary to each other. More specifically, one of these are piRNA and the other is a viral genome part, and I would like to know if the piRNA can target (can complementary bind to ) any part of viral genome..
Any help ?
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 I need to know if phage head without salt (specially Mg) may have more negative charge than phage with salt ions. Since Mg ions neutralize the DNA inside capsid, it seems that the capsid should not present any negative charge. So, removing salts through dilution may increase the negative charge of capsid. But has dilution any influence on removing inorganic ions inside capsid such as Mg (since they strongly bind to DNA)? Can anybody help me and introduce some papers in this case?
Thanks in advance,
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Dear Ima,
You might find this useful:
Capsid's total charge as well as charge distrubution at a selected radii can be measured. Also, psf files (for further physical properties analysis, molecular dynamics, ..etc) are also generated and deposited at IRAM database.
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For bacteriophage and bacterial genomes COG annotation is required
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Hi,
I am not sure about bacteriophage but for bacterial genomes COG, you can try CloVR : http://clovr.org/
Hope it helps,
Best Wishes
Pankaj
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Hi, I have a sequence which blongs to a virus (the long control region in Human papillomavirus type 18. How can I find its CpG islands? The only virus is present in UCSC site is Ebola virus. Is there any database related to viruses? Thank you for your help
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Thank you Renata! I will try it.
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I want to quantify my virus load (vg/µL, AAV6) with my plasmid within by using digital PCR (Thermo Fisher Scientific, QuantStudio 3D Digital PCR System).
I have 2 primers targeting the ITR regions and one TaqMan probe also targeting this region.
Which primer and probe concentration do you recommend for this system in general?
Thanks for all your help! :)
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Thank you so much!!!
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We want to sequence RNA from passerine bird blood to look at host expression. We will need to remove the ribosomal RNA and also the globin RNAs during the library preparation. There is no reference genome available for this species; the closest species is zebra finch. Normally the sequencing service would use the Illumina Globin Zero depletion  with Truseq directional library preparation, however I understand this is unlikely to be successful for my RNA as the optimisation is for Human/mouse/rat.  
Does anyone know of another option that may be more successful when using RNA from birds?
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To answer Katie's question, there are several kits that combine ribo depletion and globin depletion together. Zymo makes some great kits or your can home brew your own.
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I am looking for a commercial supplier of Hep-G2/2.2.15 cells (Hep-G2 with stably integrated HBV viral genome). I cannot seem to locate them in any publicly accessible cell repository. Thanks.
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Ah. I did. They do not have. Any other suggestions?
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I want to maximize the efficiency after transforming a bacmid ( viral genome that can replicate) in E Coli. I have made my own competents DH10B cell, and they are fairly efficient, but it migh be not enough for what i am trying to do...
I wonder if there are commercial competents that could be usefull for this purpose...would you recomend those?
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@ Ibrahim Bitar I am looking for electrocompetents since i ve read that are muy efficient for large DNA because with an electrick shock the pores are bigger
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0 📷 9 hours ago by krc3004 • 0
Recently I have been very interested in calculating the dN/dS ratio to estimate rates of nonsynonymous and synonymous substitutions. Since I've just started learning the theory, I have a few basic questions:
  • One of the applications I'm interested in is estimating selection pressure on various viral genomes. Does it make sense to use dN/dS across coding sequences from different viruses; e.g. an analysis considering HCV, HIV, and influenza all together?
  • relatedly, what is the best way to estimate dN/dS within species, and is there an existing implementation? I ask because of this paper, which explains why we shouldn't rely on dN/dS within species...http://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1000304
  • is it possible to use dN/dS on whole genome coding sequences within species? I obtained CDSs for 4 strains of HCV from NCBI (NC_009823, NC_009824, NC_009825, NC_009826) and ran them through FEL in data monkey (http://www.datamonkey.org/fel), but the results said that there were no regions under positive or negative selection. This seems wrong to me..so it is likely that I'm doing the analysis incorrectly.
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Hi Chirag,
I'll respond to each question point-by-point.
- Estimating dN/dS and detecting positive selection across such highly diverged viruses, due to their high mutation rate and recombination, will be difficult. I guess this depends on what your question is - is this about molecular evolution across RNA viruses as a whole? Additionally, detecting positive selection can be done site-wise, gene-wise, or for a proportion of sites on specific branches of a phylogeny. My gut reaction is that alignment across all of these is going to be messy and lead to a lot of false-positive signatures of positive selection. But, if the question is compelling enough, there might be reasonable ways to deal with these sources of uncertainty.
- For within-species, there is just not enough information to reliably estimate dN/dS. Usually, population-level work applies nonsynonymous and synonymous nucleotide polymorphism, which is just counting and does not rely on some underlying substitution model and phylogeny. This depends on evolutionary distance among individuals within that species though, so viruses like HIV usually have reasonable levels of evolutionary distance to estimate dN/dS between strains and samples within those strains (see work from Sergei Kosakovsky-Pond's lab and colleagues - the HYPHY developers).
-Your results sounds right. There were only 4 taxa, correct? There will be almost no power to detect selection with a site-wise method such as fixed effects likelihood (FEL). You want at least 10, more is better. I forget where that number comes from, it might actually be specific to some simulations from MEME (another type of test), but the point is that you should not be surprised by your result.
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I have amplified a circular DNA viral genome using rolling-circle amplification (RCA) mechanism. I want to do complete genome sequencing of the virus directly without cloning. Can some body assist me? I don't know whether :– I need to purify the amplified products, which method/system of sequencing is appropriate and the primers to use in sequencing since RCA does not use primers.
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by using restriction enzyme you can do sequencing according to yr desire size of virus DNA.
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Viral genome is too large for Agilent's technology, and I do not want to use RT-qPCR. I am thinking mass spec, but would rather get something I can do in our labs.
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Could you use fluorescent labelled antibody to viral protein to measure viral concentration as a proxy for viral genome concentration?
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I've been told to make a selective pressure analysis of a hypervariable region of a viral genome. I have aligned my sequences, removed stop codons and I did some tests I've met in publications like Codon-based Z-Test of Selection in Mega 7, MEME, FEL, SLAC methods on Datamonkey server, and tried to mesure synonymous versus non-synonymous mutation ration with the SNAP program. But I have absolutely no idea what to do with all the obtained numbers and how to interpret the results. Can somebody simply explain the selective pressure analisys to me?
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for selection presure analysis you can read this book that might be helpful:
Molecular Evolution and Phylogenetics
Masatoshi Nei, Sudhir Kumar
Oxford University Press, 2000 - Medical - 333 pages
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While doing multiple alignment in MEGA7, I found that particular country had lots of X coming in the viral genome sequence, which lead to a difficulty in getting an output by aligning them. How does this X differs from the gaps or "--" in a sequence.
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Yes Dr Beale, I did in fact converted the nucleotide sequence to AA sequence.
Thank you for sorting it out.
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Illumina (but also NEB) offers a number of library preparation kits for NGS including Nextera XT, TruSeq Nano and the TruSeq DNA-PCR free (all Illumina).
Which of these library preparation kits are suitable for analyzing bacterial genomes (WGS, 16S rRNA....) or viral genomes?.
May I also use TruSeq nano or DNA-PCR-free? Illumina mention that these kits are suitable for "Human, Mammalian, Mouse, Other, Plant, Rat". Thus, nothing is mention about bacteria.
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We are using KAPA (now Roche) ltp kit for viral genomes and for 16s Nextera XT and both are working perfectly.
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As we know, entecavir is a DNA analogue that can inhibit HBV reverse transcription, by integrating itself into HBV genome during viral replication and blocking the cccDNA formation due to lack of hydroxyl group.
But I don't understand how it integrates into the HBV genome, is it through complementary machinery or just integrating into the viral genome randomly?
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Entecavir is a guanosine analogue nucleoside with activity on HBV polymerase, it is effectively phosphorylated to the active form triphosphate (TP), which has a cellular half-life of 15 hours. When competing with the natural substrate deoxyguanosine-TP, entecavir-TP functionally inhibits the activities of the viral polymerase (priming, reverse transcription of RNA and synthesis of the complementary strand of DNA).
My best regards
Luis Rodrigo
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My view is that this is highly problematic. cDNA generation (for RNA viruses) and other amplification steps during the various library prep methods for different platforms would surely completely obscure the viral load in the original specimen.
Yet in the attached paper they seem very confident about calculating HPV viral load from NGS data.
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Thanks folks for answers. One metric I found that seems potentially useful for comparing 'relative' abundance of different microbe genomes is RPKM - Reads per Kilobase per Million mapped reads. It's usually used for genes, but I think it could be applied (maybe modified?) to genomes, to correct for both sample sequencing depth and genome length:
RPKM = number of reads mapped to genome/(Length of genome/1000)(total mapped reads/1,000,000)
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Hi, I have 230 253 16S rRNA sequences from NGS (Illumina) and I have to recount it into the number of cells per 1gram of soil. DNA was extracted from 200mg of soil sample. How should I do it?
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Can you explain more about the 16S metagenomic data? I may explain more better way. 
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I try to amplified dengue viral genome. I divided the genome into 5 fragment using specific-over lapping primers. I cannot amplified the last fragment which located at the 3' end of the genome. I try many conditions, vary temp., use DMSO, use specific primer for cDNA synthesis, both one-step and two-step PCR. But It doesn't work. Does anyone have an experience or have the same problem. 
Thank you in advances
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The development and validation of a one-step, real-time, and quantitative dengue virus serotype-specific reverse transcription-loop-mediated isothermal amplification (RT-LAMP) assay targeting the 3' noncoding region for the rapid detection and differentiation of dengue virus serotypes are reported. The RT-LAMP assay is very simple and rapid, wherein the amplification can be obtained in 30 min under isothermal conditions at 63 degrees C by employing a set of four serotype-specific primer mixtures through real-time monitoring in an inexpensive turbidimeter. The evaluation of the RT-LAMP assay for use for clinical diagnosis with a limited number of patient serum samples, confirmed to be infected with each serotype, revealed a higher sensitivity by picking up 100% samples as positive, whereas 87% and 81% of the samples were positive by reverse transcription-PCR and virus isolation, respectively. The sensitivity and specificity of the RT-LAMP assay for the detection of viral RNA in patient serum samples with reference to virus isolation were 100% and 93%, respectively. The optimal assay conditions with zero background and no cross-reaction with other closely related members of the Flavivirus family (Japanese encephalitis, West Nile, and St. Louis encephalitis viruses) as well as within the four serotypes of dengue virus were established. None of the serum samples from healthy individuals screened in this study showed any cross-reaction with the four dengue virus serotype-specific RT-LAMP assay primers. These findings demonstrate that RT-LAMP assay has the potential clinical application for detection and differentiation of dengue virus serotypes, especially in developing countries.
Sincerely
Luis del Carpio Orantes
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Anyone tried to express a transgene from a native 5’LTR promoter of the lentiviral system. Literature says that 5' LTR promoter is inactivated upon integration into the target genome to prevent the replication of the viral sequences.
My transgenes are quite large (total viral genome from 5’ LTR to 3’ LTR: 5-11 kb with introns, and 5-9 kb upon splicing). I am not able to produce any functional viral particles above 5 kb size. Hence exploring on the possibility to reduce the overall genome size. In this regard, I am thinking of removing the CMV promoter used to drive the transgene and then relay on the 5’ LTR promoter to drive the transgene.
Any suggestions in this regard would be highly appreciated.
Many thanks
Manjunatha
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I wonder if any one know how to obtain numbers of genome equivalent per ng of DNA from qPCR Ct values .
Thanks
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I've previously done this by comparing to a plasmid standard curve. If you have your target sequence on a plasmid, you can then dilute that plasmid standard down to a range of 10 - 100,000 copies/uL. You can then estimate copy number from the Ct values you obtain from your genomic template. If you know the copy number of your gene per genome, you can then deduce how many genome equivalents are in a sample.
A key assumption here is that your primer set can amplify from genomic DNA as efficiently as it can from plasmid DNA, so it is important to test this assumption before you try to use it for real. Another caveat is that in normal diploid cells we know most genes have 2 copies but there are exceptions and, if you are working in cancer cell lines, you really can't assume that there are 2 copies per gene anymore.
I don't know if this is the best way to do it but it's worked for me in the past. If you're not totally committed to a qPCR based method, I think this might be easier to do with a NanoString assay.
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I used lentivirus before but I know few about the structure of  them.
Here is an example: ^^^^^^5'LTR-GENE-WPRE-LTR3'-SV40^^^^^
Are only sequences between the LTRs integrated  into the genome?
Is WPRE used to stabilize the mRNA? There is no polyA? 
And what is the SV40?
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Hi Dr.
Please find the following chapter in title:
Designing Lentiviral Gene Vectors
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I proccesed a search of all posible lenght 9 sequences from virus vs human genome: found 1,048,576
what information could it bring?
>NC_022518.1 Human endogenous retrovirus K113 complete genome vs Human Reference Genome Chr1
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Hi
9 mers are too short, it leads to find too many sites matching your request. of course you'll get the right answer, but embedded in a large amount of other sites. for instance the common blast does not allow to search for strings under 20 nucleotides.
fred
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I'm currently studying virome and viral genome diversity in clinical samples.
Can you suggest me references describing optimal conservation for clinical samples in a hospital laboratory? Unfortunately, for now, samples were conserved at -20°C. It seems that degradation occurs rapidly but I need objective data to support my discussion.
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Thank you Bruce for your answer.
Because I want to analyse virome and microbiome present in my samples it doesn't seem adapted to use blood derived samples or to try to expanse them on permissive cell lines.
but I keep your idea for specific viral analyses.
Thx
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when is ribosome is comleted with mRNA ...
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Hi Denisa,
If I add to @engelbert buxbaum's answer, you may have also wanted to know which tranlsation initiation factor are involved in (eukaryotic) ribosomal subunit joining? This topic is far from trivial and still under scrutiny. Apparently, eIF5B and eIF1A play a role.
Have a look at the section entitled
'A closer look at subunit joining' in the review
Biochem Soc Trans. 2008 Aug;36(Pt 4):653-7. doi: 10.1042/BST0360653.
Mechanism of ribosomal subunit joining during eukaryotic translation initiation.
Best wishes, Ernst
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I would like to estimate the copy number of the ribosomal gene from published whole genome sequence. Is there any direct method to do this??  
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Lots of tools out there depending on your data type and what you want to do with it. Here's a good place to start: https://www.ncbi.nlm.nih.gov/pubmed/25918519
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I'm working on the impact of a cellular microRNA (gga-miR-126) on the pathogenicity of an avian herpesvirus (Gallid Herpesvirus-2, also named Marek's disease virus-1). I would like to create a recombinant virus by inserting the precursor sequence of gga-miR-126 inside the viral genome without affecting its pathogenicity.
I don't know where to insert it, I thought in the 3'UTR of a viral gene or in a region without viral genes under the control of a pol III promoter.
Thank you for your help
Isabelle
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Thank you very much :)
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I have a data set from a metatranscriptmic sample and I want to recover the 28s ribosomal sequence of one organisms present in sample.
The sample had a a ribosome-depletion step before sequencing, but not all ribosome sequences are eliminated 
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Hello Victor,
please keep in mind that assembling ribosomal rRNA gene sequences from metagenomic/metatranscriptomic data is especially problematic, because of the multiple large conserved rRNA-regions. Because these are conserved on DNA-level even between seperate taxa, the danger of assembling chimeras is very high. You may end up with sequences that actually consist of multiple species but may not always be recognized by chimera detection tools. If you do not have a paired end approach, you should not even bother to assemble the ribosomal genes. And even then I would only use relatively long reads (e.g. Miseq >250bp). Additionally, If you are assembling them with a k-mer based assembler, I would use relatively large kmers (>100bp) that span most conserved regions, to reduce the risk of chimeric assemblies. But even then I would regard the results with suspicion, if I cannot verify my sequences by another independent approach (e.g. sanger sequencing of 28S clones, or reference sequences which are known to occur in the sample), and would prefer to do that only for relatively simple (low diverse) communities.
Non-rRNA genes are less of a problem, because they are usually not that conserved on DNA level (even IF they are conserved on protein level)
Considering these complications, you may want to consider not assembling these rRNA reads after all. Instead you could use the above suggested tools (sortmeRNA is really very good) to just identify the 28S reads, then align them against a reference database to identify different hypervariable regions, and finally just focus on a specific hypervariable region in order to taxonomically classify these reads (basically mimmicking an amplicon approach for that data)
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I am trying to isolate plant virus Genome. I am planning to isolate the virus first and then go for genome isolation. However I am unable to use ultracentrifugation. So can anyone tell me how to isolate the viruses using simple centrifuge techniques so that I can get pure viral genome without the contamination of plant genome?
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It's a shame you don't have access to an ultracentrifuge, they do make virology a lot easier! However in the absence of one I would go for filtration (such as 0.45 um syringe filters) of your crude extract followed by some sort of precipitation, such as PEG precipitation or ammonium sulfate. I would then clarify by centrifugation, filter over a 0.2 um syringe filter, and that should give you a reasonably pure virus prep. I would then treat this prep with nuclease (such as micrococcal nuclease) in order to degrade any nucleic acid that may have co-purified with your particles (your viral genome should be protected inside the virions), then deactivate the nuclease and extract the viral genome using a phenol:chloroform extraction followed by nucleic acid precipitation. I hope this helps!
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I am working with arbovirus, Ross river virus and its genome is about 1266 bp. I have to increase virus concentration in my sample before i proceed to sequencing.
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I'm not sure but arbovirus are ssRNA virus, right? You could order biotinylated oligos specific for your virus and enrich your preparation using streptavidin magnetic beads.
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Has anyone used any of these kits for viral genome sequencing and analysis? Any suggestions on what conditions can be optimized to produce longer fragment distribution using either of these kits.
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Hi Ravi!
So nice to see you are so familiar with Nextera kit and its sequencing primer kit. I am going to start my experiments with Nextera XT kit for ATAC-seq. On the protocol of Nextera XT kit, they clearly said: make sure to use Trueseq dual-index sequencing primer kit for single read of double read sequencing of your Nextera kit-prepared libraries. Do you know the detailed sequence of the primer in the Trueseq dual-index sequencing primer kit? I want to double check if it is compatible with the transposase sequence, the adaptor sequence, then design my own sequence for other purposes.
Could you help me with this? Or you can tell me where I can find the detailed information of the sequencing primers.
Thank you so so so so much in advance!
Best,
Lu
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I am trying to quantify the level of viral RNA in mouse brains following infection using reverse transcription quantitative PCR. I have made a standard curve for determining the quantity (in ng) of viral RNA from Ct value by serially diluting in vitro transcribed viral infectious clone RNA. Using my equation, I can determine ng of genomic RNA and then convert to copy number using the FW of the target. Also, I run a known quantity of genomic RNA each time so I know that the standard curve works. 
My question is, how does normalization factor into this? I don't think I can use the standard curve to determine copy number from normalized Ct. Do I need to make a standard curve of my endogenous control? Do I need to use an endogenous control at all or can I just report at copy number/ng RNA?
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See the bottom of the attached file for some possible ideas.
Always a good question.
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Hi all,
I'm currently packaging a lentivirus with a large, fluorescently-tagged insert.  My gene of interest (GOI) + fluorescent tag is downstream of a tight tetracycline-regulated CMV promoter.  
When packaging a lentivirus in HEK293T cells, fluorescent inserts can usually be observed 12-16 hours after transfection of the expression/packaging/envelope proteins in my hands. These are usually downstream of "normal" CMV promoters, and not variants that require transactivation.  
Viral RNA is also being transcribed from the LTR on the expression plasmid, and the viral genome will contain the same ORF encoding my GOI + fluorescent protein.
In my current packaging cells, I'm observing no/low fluorescence.
So how much of the fluorescence observed in my cells post-transfection is expected from the transfected plasmid (driven by CMV) vs. expression from the transcribed viral RNA (driven by the LTR)?
I am curious because the tet-regulated CMV should not express much in the packaging cells, but translation from LTR-driven viral RNA would be unaffected.  Hence, any fluorescence would be due to the viral RNA.
Thanks!
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Hi,
This is all normal. If your expression cassette involves any florescent protein under any promoter (TET inducible or tissue specific promoter) you should see  some fluorescence. The reason is that lentivirus is it self driven by strong promoter to express the RNA.  That is,  the packaged viral RNA span from 5'LTR to 3'LTR and since there is no promoter in LTR (BTW, the promoter which in the 3'LTR has been removed for safety reason since the first generation of lentivirus) a secondary promoter upstream 5'LTR is required for the expression of the viral RNA. Some RNA do not make it to the cell membrane to be packaged,  it's translated to protein like any other RNA. Thus the fluorescence you're seeing! I hope this help.
Abdel
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Hi, 
I am trying to build a standard database using Kraken, but I am having trouble doing it. 
The message I receive is 
Found jellyfish v1.1.11
Skipping download of bacterial genomes, already downloaded here.
Skipping download of viral genomes, already downloaded here.
Kraken build set to minimize disk writes.
Creating k-mer set (step 1 of 6)...
Found jellyfish v1.1.11
Can't merge hash with different size
I posted this question on the google group for the software and I looked through the previous questions, but nobody answered there and I still can not figure out a way to do it.
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 I will keep trying! Thank you very much!
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I am working with HPV. But when using MY9/MY11 & GP5+/GP6+ primers in nested approach , the PCR picks up a positive band in known negative samples? Although my MY9/ MY11 primers are not consensus, the false positivity is a issue? Can anyone help me in this? Wheras with PGEMY 9/PGEMY11 set of primers I am getting very nonspecific band along with strong specific amplicon of 450 bp. 
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Hi Heena,
You can optimize the PCR reactions for HPV by adjusting the temperature and the annealing time.
I recommend reading the paper: PCR Detection of Human Papillomavirus: Comparison between MY09/MY11 and GP51/GP61 Primer Systems. JOURNAL OF CLINICAL MICROBIOLOGY, 0095-1137/97/$04.0010, June 1997, p. 1304–1310
I suggest also the pair of  primers FAP 59/FAP64.
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After rolling circle amplification, I got concatamers. I run a agarose gel of this product, which gave a smear in the gel. Now, I want to go for sequencing to get full length viral genome. Do I need any primer for that or is there any other method for this? Please give your suggestions
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I see a lot of answers but before giving mine I need to ask some questions;
Do you know the genome structure beforehand?
Since you are doing RCAI guess that there is little to no previous knowledge about the genome?!
If doing RCA on clinical samples, there is a great risk/possibility of amplifying off-targets such as the genome of the host and/or other viral fragments in the sample.
So, before I answer exactly I would like to know how the sample is composed before RCA?
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I am trying to clone a ~2kb portion of a ssRNA viral genome. It has high GC% (~60%), but the worst part is the secondary structure. It has a lot of complementarity, so the folding models predict that it is basically folded in half.
I have tried one-step Qiagen master mix, two-step with Superscript III at 53degrees, DMSO, Q solution, increased RT temps, touchdown PCR, priming with random hexamers and a few different genome specific primers, melting RNA at 65 degrees before RT, etc. Some experiments indicate that the problem is the RT step; the PCR works fine.
Please share your tips. I'm running out of ideas. Thanks.
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Betaine. I use 2M betaine (final concentration) in both my RT and PCR and it makes a huge difference! I found it more effective than denaturing at a higher or longer temp. For RT I use Superscript IV.
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I want to align promoter sequence of a small T antigen and large T antigen of virus (merkel cell polyomavirus). I am aware that for human genome we generally subtract and add 1 kb from genome to assign promoter seq in NCBI but I am not sure about viral genome.
Thank you.
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Vrushali
This new paper can help you  
cheers
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May I be able to detect WNV and sequence it in vectors and reservoirs in which have been dead? In another hand, I want to know if the WNV RNA genome remains when the vector or bird dies for some days room temperature situation  (for example 1 week). I have not kept the mosquitoes in freezer. Please explain me. Thanks.
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Yes, we do not have any problem to detect viral RNA in dry mosquitoes kept at room temperature for some weeks. Full genome sequencing works as well.
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Hi
We have a project relating to WGS of viral genome[ss-RNA]. We have to isolate the RNA from the host stool and construct library and go for sequencing. Can anyone suggest a protocol for it? Also how do we analyze whether we have isolated viral RNA on a Bioanalyzer of the size is more than 6kb. ? Is there any way other than qRT PCR?
Kindly suggest.
Thanks in advance,
Ramya
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If anyone notice any pattern in viral genome while aligning small RNA sequencing data. 
Please share if anyone noticed it. 
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I have illumina dat of a virus genome, coverage 100 - 1000x and I want to look a SNP variants within the host. I have looked at CLC which has probabilistic and quality variant scoring but are there others you would suggest? 
Thanks.
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What kind of virus do you have? Keep in mind that there is a vast literature on discovering viral genetic diversity with deep sequencing. A couple of reviews are linked here.
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Dear all,
I recently got some viral assemblies from sponge metagenome. As for bacteria, people use essential gene counting to evaluate the completeness of an assembly. But how to evaluate the completeness of a viral genome? Also, is there any database dedicated to annotation and prediction of viral genes (I know RAST can do that but I want to know if there's any more out there)? Thanks!
Cheers,
Fang
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I am doing a summary on the introns in untranslated region. I found it is hard to determine which research is the first one reporting the existence of intron in a 3'-UTR. Berk and Sharp's paper in Cell in 1977 report the splice of early mRNA of Ad2. But from the abstract (I haven't the full text and have been asking it from Prof. Berk) it can't be determined that the second intron located in 3'UTR. Besides, a much later paper in Journal of virology in 1982 by Heschel and Raskas stated the opinion by assigning the polypeptides to respective mRNA. which paper could we say is the first one discovering the intron in 3'-UTR.
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I've noticed Raskas's paper published in 1983.  And I haven't found any paper reporting intron in 3UTR in any other gene during 1977-1983. Then it seems that is the first paper.
Thank you very much.
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It is a large scale PCR based screening that I am performing. The viral DNA was extracted using a viral particle enrichment and viral nucleic acid extraction protocol. I extracted the viral nucleic acids from 70+ samples and performed nested PCR using primers designed for each individual virus(I am screening for three viruses). The viral genomes were recently identified, so I cannot give you guys much details on them.
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Just a quick note in regards to controls that you should also include a negative extraction control (water sample that is extracted in the same way as your DNA) on top of your regular NTC. If these are positive then you should take more care when changing pipette tips, the use of reagents on your bench that may be contaminated (especially buffer/water used to elute nucleic acids) etc.
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I have got a set of complete phage genomes. Do you have any suggestions which software I can use to analyse these phage genomes (label gene, DNA alignment, protein alignment)?
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Thank you, Alsamman. I am still newbie in bioinformatic things. Hope I can did it using your suggested software :-)
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Hi all,
For a sequencing project I need to align multiple (>100) small (<6kb) viral genomes. Which is the best algorithm to use? I tried Mauve and it seems to work fine, but the results are indeed confusing, with so many sequences.
What would you suggest?
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Hi Michael,
I would give MUMmer3 a try. This is typically very fast and provides you with lots of options to look at the overlap of the viruses.
Best
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I am aware that UL56 binds pac sites that flank the cut site in the alpha sequence of the HCMV genome, but I cannot find any evidence to support where exactly (the sequence) of where the genome is being cleaved. Is this known?
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cacgcacccacccagccgcgcccccggcacacccaacccgacgccggcgcgggacggggc /cut/
tccattccgggccgtgtgttgggtccccgtggggcgggggggtgtttttagcgggggggtgaaatttgga
from:
as shown in their nice figure:
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If the complete genome of a phage is known, is it possible to find a cos site?
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Do you know how?
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See above
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These authors describe a qPCR test: http://www.ncbi.nlm.nih.gov/pubmed/22651389
Hope it helps.
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The studies mentioned that there is a different copy number of HSV genome in nervous cells. Does this finding prove that a viral genome has replication in the latency time?
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The general dogma is that HSV replicates in the TG whilst establishing latency early after infection and then stops replicating once viral genomes become episomal and chromatinzied. It is thought that after latency is established the only time the genome replicates is upon reactivation, which is typically a stress response. Each cell body within the ganglia may have a different genomic copy number.
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If I have a brand new virus or phage's genome sequence, which have few similarity with known genes. How to predict its host based on its genome? Or is there any other technology to do this?
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Jing-Zhe, It is known for several well-studied virus groups that a single gene can deternine its host range (http://www.ncbi.nlm.nih.gov/pmc/articles/PMC230224/; http://www.nature.com/nature/journal/v270/n5638/abs/270617a0.html; http://www.ncbi.nlm.nih.gov/pubmed/8009842)
But, if your virus/phage is from new class you will not be able to figure out its host organism until you find it by experimental way. Phenotype goes first, genomics - second!  Sure, you can find some host -related sequences in the viral genome, but this method will work only if host species have known complete genome sequence.
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Is the heat acting on the protein or the viral genome?
Can 56 degree denature protein and prohibit virus attachment or entry?
Can 56 degree destroy or crosslink the RNA/DNA genome like what UV can do?
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It depends on the kind of virus. Enveloped viruses borrow their membranes from the cell membrane of the cell they budded from, and are easily disrupted. Some enveloped viruses are a bit tougher than others. That extra stability they get because of the intra-membrane proteins and how connected those are to the internal capsid, as well as how regular it is. 56 C is more than enough for disrupting the envelope, and for enveloped viruses, the envelope is a critical part of their structure and entry mechanism. As an example of the very easily disrupted, HIV has its gp120 protein just floating around randomly in the membrane surface.
Enveloped viruses are also sensitive to osmotic pressure, since the fluid inside of the virus envelope is generally saltier (and because of that, more hygroscopic) than fresh water. The envelope can swell and burst, inactivating the virus. In air and on surfaces, that saltiness can help the virus stay stable, by helping the virus keep from desiccating as long as the humidity is not too high. Thus, distilled water will be a bit more effective at inactivating of enveloped viruses than tap water.
Non-enveloped viruses vary in how robust they are based on multiple factors, as discussed by Victor Weiss above. The capsid subunits are held together by hydrogen bonding. How strong those hydrogen bonds are will determine the temperature at which the capsids start coming apart. Essentially, what is happening at 56C is that the capsids are melting, and the subunits are denaturing somewhat. But at 56 C, when it cools down, the proteins should fold back into their normal conformation and reassemble into capsids, which will leave the nucleic acids outside, and in the case of ssRNA or ssDNA, the nucleotides will be floating around stuck to itself.
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. I am trying to produce Enterovirus virions by transfection. At first I tried to transfect the transcribed viral RNA into HeLa cells with lipofectamine 2000, but I did not get any infectious particles in the supernatant, and I couldn't determine the cause, my transfection system works well (validated by GFP plasmid transfection)... So i thought if i maybe used the cDNA to transfect the viral genome, a more stable form of genetic material i would have some better results. My question is which promoter should i use in front of my 5'UTR of the viral cDNA genome to be able to get viral RNA in cDNA transfected cells... Does the T7 promoter works?? if not what promoter should i use?? I appreciate your help! Thanks  
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Hi Michel yes, A T7 promoter and poly (A) tail should be added to the 5’ and 3’ends, respectively 
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I have recently isolated 8 bacteriophages and I am in the process of characterising them. Does anyone know of a simple method to determine what genome they have?
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Treat an aliquote of your viral stock with protease+ DNAse (Rnase-free preparations) and another with protease+ RNAse ( DNAase free preparations); purify or precipitate the expected RNA or DNA and run them on gel hoping to see intact RNA in your first sample or intact DNA in your second sample. There are options to inhibit RNA or DNA synthesis  too and ask the question if your virus propagates when DNA synthesis is inhibited ( Yes will suggest RNA genome). Probably it is most straightforward to do the experiment in the context of plaque assay.
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I want to clone the whole viral genome from a water sample from which I have concentrated the virus and done DNA and RNA isolation. I want to find the diversity of viruses and therefore would like to clone the whole genome. How should I go about it?
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I have never been working with viruses from water. In my short experience with plant virus.
But if you have purified viral particules, in my opinion a "Random PCR" approach will be useful for you, briefly consist in generate a random cDNA library from your encapsidated RNA using NNNNNN plus Universal primer and PCR with a reverse anchored.
I recomend you read this ones:
Uhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC336952/pdf/nar00085-0274.pdf
Once you have been generated the library, proceed to sequencing by sanger or maybe NGS technologies (Deep sequencing), in both cases biofinformatic assembly of sequences de novo assembly or mapping against sequences. This same methodology ramdon PCR work fine with dsRNA as an template, example: "dsRNA accumulation is strongly related to plant viruses"
Another methodology I want to suggest to read is siRNA deepsequencing, since few year has become in a very efficent apprach for virus discovery.
Good luck.!
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I'd like to use this assay to detect fragmentation of a large viral genome, but don't know if those fragment sizes can be distinguished using this approach.
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The comet assay cannot provide any information about DNA fragment size, because the electrophoresis step is too short to allow for any real separation. Running the electrophoresis for too long will cause false positive tails on the control cells. It's better to perform a pulse field if you need to know specific fragment lengths. Here's an article that explains this and more about the comet assay: http://atm.skkumed.ac.kr/protocol/comet%20assay%202008%20nature%20protocols.pdf
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We have an issue to amplify 3' end of dsDNA virus genome (ASFV). Basically, we use Long-Range PCR to amplify whole viral genome. Everything was fine except 3'end region. We still have around 6 kb to get. We have already tried to design primers to amplify smaller PCR fragments and get closer, but still part of genome left. There is of course a possibility of gene deletion or insertion or whatever in 3'end. The question is to find a way to get this region for following sequencing.
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I have experience sequencing viruses via NGS. The 5' and 3' ends are often under represented, and in many cases you may still miss a handful of nucleotides. As mentioned above, the TdT approach is likely your best best.
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I've been sequencing, assembling, and annotating quite a few liver and spleen transcriptomes from wild rodents, and I have noticed that many of the assembled transcripts don't get blast hits to other rodents or mammals. Through some broader blasting, I've discovered that some of the transcripts may be viral. Can anyone recommend a good database (that I can download) to blast against to try to specifically identify viral transcripts? I'm hoping for a database that excludes everything except potential pathogens.
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Uniprot has databases that are taxon-specific. Here's a link for their virus database: http://www.uniprot.org/uniprot/?query=taxonomy%3a10239&format=*
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I am doing bioinformatic searching for viral RNA sequence and I found that if I type in the complimentary sequence of the original RNA sequence, the searching result will change.
If an RNA virus has the genetic material of 5'-AUCG-3', is there any possibility that the same virus strain has the opposite sequence in there genome (i.e. 3'-UAGC-5') ?
If that can happen, the RNA based viral detection should have two probe sets based on those two complimentary sequence, otherwise it may miss half or at least some of the virus. Am I right?
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I am using degenerate primers for amplifying viral genome. At the beginning, the bands appeared at appropriate size but now nothing appears except for unspecific bands.
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There is no single suitable condition for PCR. You must test many parameters including annealing temperature, Mg concentration, template DNA concentration. Had you changed any reagents (different enzyme, new primer stock, different virus stock, dNTPs?) when the reaction stopped giving you the appropriate sized bands? You might also try a few PCR cycles at a lower annealing temperature (so that the degenerate primers can bind), followed by a higher annealing temperature for additional cycles).
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I am trying to do phylogenetic analysis of upto 100 full length viral genomes (each consisting of 34000 - 36000 bp). However, I am unable to perform alignment and generate trees by using MEGA5 probably due to large size of genomes. Whenever I run alignment in MEGA5 either by CLUSTALW or MUSCLE, after 15min I get error message of "Not Enough Memory". Same error appears when running Jmodeltest 2 or MEGA5 nucleotide substitution model analysis. I would like to know is there any way to overcome this issue? If its due to lack of computational resource then what could be the alternatives? Any online servers that can help me perform multiple seq alignment, model estimation and tree construction for larger datasets? My computer spec are: Intel Core i5 2.4Ghz, 500GB hardisk and 6GB RAM.
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Dear Azeem:
I would suggest the program RDP3 (Martin D, Rybicki E (2000) RDP: detection of recombination amongst aligned sequences. Bioinformatics 16: 562–563.) which Dr. Martin modified for our uses to be able to do whole bacterial genome alignments. We published this modified method together (Hiller, N.L., Ahmed, A., Powell, E., Eutsey, R.E., Earl, J., Martin, D., Janto, B., Hogg, J.S., Boissy, R., Barbadora, K., Post, J.C., *Hu, F.Z., and *Ehrlich, G.D. Generation of Genic Diversity among Streptococcus pneumoniae Strains via Horizontal Gene Transfer during a Chronic Polyclonal Pediatric Infection. PLoS Pathogens 6(9): e1001108, 2010).. Since it works for bacterial genomes I don't think you'll have trouble with viruses
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Antisense oligonucleotide is better against the viral genome because it prevents replication and transcription?
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I am only knowledgeable in gene therapy of cancer; and I developed the concept of combined gene therapy of cancer (CGTC): one gene delivered to CSC and the second to HSC.