A method for the isolation of genomic fragments of RNA virus based on cDNA representational difference analysis (cDNA RDA) was developed. cDNA RDA has been applied for the subtraction of poly(A)+ RNAs but not for poly(A)− RNAs, such as RNA virus genomes, owing to the vast quantity of ribosomal RNAs. We constructed primers for inefficient reverse transcription of ribosomal sequences based on the distribution analysis of hexanucleotide patterns in ribosomal RNA. The analysis revealed that distributions of hexanucleotide patterns in ribosomal RNA and virus genome were different. We constructed 96 hexanucleotides (non-ribosomal hexanucleotides) and used them as mixed primers for reverse transcription of cDNA RDA. A synchronous analysis of hexanucleotide patterns in known viral sequences showed that all the known genomic-size viral sequences include non-ribosomal hexanucleotides. In a model experiment, when non-ribosomal hexanucleotides were used as primers, in vitro transcribed plasmid RNA was efficiently reverse transcribed when compared with ribosomal RNA of rat cells. Using non-ribosomal primers, the cDNA fragments of severe acute respiratory syndrome coronavirus and bovine parainfluenza virus 3 were efficiently amplified by subtracting the cDNA amplicons derived from uninfected cells from those that were derived from virus-infected cells. The results suggest that cDNA RDA with non-ribosomal primers can be used for species-independent detection of viruses, including new viruses.
The BamHI H fragment of Marek's disease virus (MDV), which has been hypothesized to contain a tumor-inducing gene, was partially sequenced and analyzed for transcriptional activity. Transcription of several RNAs was found to initiate within BamHI-H, with the major transcripts initiating on either side of a putative MDV origin of lytic replication. A 1.8-kilobase gene family found to be produced only by pathogenic MDV was detected, and its transcription map was produced. It is hypothesized that the 1.8-kilobase gene family is directly associated with the tumorigenic potential of MDV.
Abstract. Complex vertebral malformation (CVM), a hereditary lethal disease in Holstein calves, is characterized by complex anomalies of the vertebral column and limbs in an aborted fetus and in prematurely born, stillborn, and neonatal calves. The mode of inheritance of CVM is autosomal recessive, and CVM is caused by a point mutation from G to T at nucleotide position 559 of the bovine solute carrier family 35 member 3 (SLC35A3) gene. Although an allele-specific polymerase chain reaction (AS-PCR) is a useful method for diagnosis of CVM, the AS-PCR requires selected DNA polymerases and strictly controlled reaction conditions to obtain reliable results. Therefore, an alternative screening method for the CVM gene would be useful. Polymerase chain reaction-primer introduced restriction analysis (PCR-PIRA) is a method that can be used for detecting a single nucleotide mutation in any gene without a restriction site around the mutation site. In this study, primers were designed to introduce PstI or EcoT22 sites into PCR products from the wild-type and CVM alleles, respectively. The wild-type allele, a heterozygote, and a homozygote of the CVM allele could be discriminated by restriction fragment length polymorphism analysis. Specific introduction of restriction sites into PCR products depending on the change in a single nucleotide of template was shown using a variety of DNA polymerases and PCR machines. Therefore, the PCR-PIRA technique using primers designed in this study might provide a more useful method for extensive screening of CVM.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.