The Experts below are selected from a list of 510 Experts worldwide ranked by ideXlab platform

Colin R Parrish - One of the best experts on this subject based on the ideXlab platform.

  • the canine minute virus minute virus of canines is a distinct Parvovirus that is most similar to Bovine Parvovirus
    Virology, 2002
    Co-Authors: Daniel Schwartz, Bryan Green, Leland E Carmichael, Colin R Parrish
    Abstract:

    We characterized the genome and proteins of the canine minute virus (the minute virus of canines (MVC)). The genome sequence showed MVC to be an autonomous Parvovirus encoding a large nonstructural protein 1 gene, a smaller nonstructural protein, and overlapping VP1 and VP2 protein genes. The virus was most closely related to Bovine Parvovirus (BPV), with which it was 43% identical at the DNA sequence level, while the NS1 and VP1 proteins were 33.6 and 41.4% identical to those of BPV, respectively. Spliced messages of the NS1 gene transcripts were detected by RT-PCR. VP1 and VP2 proteins were detected in purified capsids, as were modified versions of each protein, and VP3 was also found in full capsids.

  • rapid communication the canine minute virus minute virus of canines is a distinct Parvovirus that is most similar to Bovine Parvovirus
    2002
    Co-Authors: Daniel Schwartz, Bryan Green, Leland E Carmichael, Colin R Parrish
    Abstract:

    We characterized the genome and proteins of the canine minute virus (the minute virus of canines (MVC)). The genome sequence showed MVC to be an autonomous Parvovirus encoding a large nonstructural protein 1 gene, a smaller nonstructural protein, and overlapping VP1 and VP2 protein genes. The virus was most closely related to Bovine Parvovirus (BPV), with which it was 43% identical at the DNA sequence level, while the NS1 and VP1 proteins were 33.6 and 41.4% identical to those of BPV, respectively. Spliced messages of the NS1 gene transcripts were detected by RT-PCR. VP1 and VP2 proteins were detected in purified capsids, as were modified versions of each protein, and VP3 was also found in full capsids.

Eric Delwart - One of the best experts on this subject based on the ideXlab platform.

  • a metagenomics and case control study to identify viruses associated with Bovine respiratory disease
    Journal of Virology, 2015
    Co-Authors: Holly L. Neibergs, Nikola O Kondov, Xutao Deng, Eric Delwart, Alison L Van Eenennaam
    Abstract:

    ABSTRACT Bovine respiratory disease (BRD) is a common health problem for both dairy and beef cattle, resulting in significant economic loses. In order to identify viruses associated with BRD, we used a metagenomics approach to enrich and sequence viral nucleic acids in the nasal swabs of 50 young dairy cattle with symptoms of BRD. Following deep sequencing, de novo assembly, and translated protein sequence similarity searches, numerous known and previously uncharacterized viruses were identified. Bovine adenovirus 3, Bovine adeno-associated virus, Bovine influenza D virus, Bovine Parvovirus 2, Bovine herpesvirus 6, Bovine rhinitis A virus, and multiple genotypes of Bovine rhinitis B virus were identified. The genomes of a previously uncharacterized astrovirus and picobirnaviruses were also partially or fully sequenced. Using real-time PCR, the rates of detection of the eight viruses that generated the most reads were compared for the nasal secretions of 50 animals with BRD versus 50 location-matched healthy control animals. Viruses were detected in 68% of BRD-affected animals versus 16% of healthy control animals. Thirty-eight percent of sick animals versus 8% of controls were infected with multiple respiratory viruses. Significantly associated with BRD were Bovine adenovirus 3 ( P P = 0.005), and the recently described Bovine influenza D virus ( P = 0.006), which were detected either alone or in combination in 62% of animals with BRD. A metagenomics and real-time PCR detection approach in carefully matched cases and controls can provide a rapid means to identify viruses associated with a complex disease, paving the way for further confirmatory tests and ultimately to effective intervention strategies. IMPORTANCE Bovine respiratory disease is the most economically important disease affecting the cattle industry, whose complex root causes include environmental, genetics, and infectious factors. Using an unbiased metagenomics approach, we characterized the viruses in respiratory secretions from BRD cases and identified known and previously uncharacterized viruses belonging to seven viral families. Using a case-control format with location-matched animals, we compared the rates of viral detection and identified 3 viruses associated with severe BRD signs. Combining a metagenomics and case-control format can provide candidate pathogens associated with complex infectious diseases and inform further studies aimed at reducing their impact.

  • Identification and characterization of a new bocavirus species in gorillas. PLoS One 5: e11948
    2010
    Co-Authors: Amit Kapoor, Natasha Mehta, Frank Esper, Phenix Lan Quan, Mateja Poljsak-prijatelj, Eric Delwart, Ian W Lipkin
    Abstract:

    A novel Parvovirus, provisionally named Gorilla Bocavirus species 1 (GBoV1), was identified in four stool samples from Western gorillas (Gorilla gorilla) with acute enteritis. The complete genomic sequence of the new Parvovirus revealed three open reading frames (ORFs) with an organization similar to that of known bocaviruses. Phylogenetic analysis using complete capsid and non structural (NS) gene sequence suggested that the new Parvovirus is most closely related to human bocaviruses (HBoV). However, the NS ORF is more similar in length to the NS ORF found in canine minute virus and Bovine Parvovirus than in HBoV. Comparative genetic analysis using GBoV and HBoV genomes enabled characterization of unique splice donor and acceptor sites that appear to be highly conserved among all four HBoV species, and provided evidence for expression of two different NS proteins in all primate bocaviruses. GBoV is the first non-human primate bocavirus identified and provides new insights into the genetic diversity and evolution of this highly prevalent and recentl

Nikola O Kondov - One of the best experts on this subject based on the ideXlab platform.

  • a metagenomics and case control study to identify viruses associated with Bovine respiratory disease
    Journal of Virology, 2015
    Co-Authors: Terry Fei Fan Ng, Nikola O Kondov, Alison L. Van Eenennaam, Xutao Deng, Holly L. Neibergs
    Abstract:

    Bovine respiratory disease (BRD) is a common health problem for both dairy and beef cattle, resulting in significant economic loses. In order to identify viruses associated with BRD, we used a metagenomics approach to enrich and sequence viral nucleic acids in the nasal swabs of 50 young dairy cattle with symptoms of BRD. Following deep sequencing, de novo assembly, and translated protein sequence similarity searches, numerous known and previously uncharacterized viruses were identified. Bovine adenovirus 3, Bovine adeno-associated virus, Bovine influenza D virus, Bovine Parvovirus 2, Bovine herpesvirus 6, Bovine rhinitis A virus, and multiple genotypes of Bovine rhinitis B virus were identified. The genomes of a previously uncharacterized astrovirus and picobirnaviruses were also partially or fully sequenced. Using real-time PCR, the rates of detection of the eight viruses that generated the most reads were compared for the nasal secretions of 50 animals with BRD versus 50 location-matched healthy control animals. Viruses were detected in 68% of BRD-affected animals versus 16% of healthy control animals. Thirty-eight percent of sick animals versus 8% of controls were infected with multiple respiratory viruses. Significantly associated with BRD were Bovine adenovirus 3 (P < 0.0001), Bovine rhinitis A virus (P = 0.005), and the recently described Bovine influenza D virus (P = 0.006), which were detected either alone or in combination in 62% of animals with BRD. A metagenomics and real-time PCR detection approach in carefully matched cases and controls can provide a rapid means to identify viruses associated with a complex disease, paving the way for further confirmatory tests and ultimately to effective intervention strategies. IMPORTANCE Bovine respiratory disease is the most economically important disease affecting the cattle industry, whose complex root causes include environmental, genetics, and infectious factors. Using an unbiased metagenomics approach, we characterized the viruses in respiratory secretions from BRD cases and identified known and previously uncharacterized viruses belonging to seven viral families. Using a case-control format with location-matched animals, we compared the rates of viral detection and identified 3 viruses associated with severe BRD signs. Combining a metagenomics and case-control format can provide candidate pathogens associated with complex infectious diseases and inform further studies aimed at reducing their impact.

  • a metagenomics and case control study to identify viruses associated with Bovine respiratory disease
    Journal of Virology, 2015
    Co-Authors: Holly L. Neibergs, Nikola O Kondov, Xutao Deng, Eric Delwart, Alison L Van Eenennaam
    Abstract:

    ABSTRACT Bovine respiratory disease (BRD) is a common health problem for both dairy and beef cattle, resulting in significant economic loses. In order to identify viruses associated with BRD, we used a metagenomics approach to enrich and sequence viral nucleic acids in the nasal swabs of 50 young dairy cattle with symptoms of BRD. Following deep sequencing, de novo assembly, and translated protein sequence similarity searches, numerous known and previously uncharacterized viruses were identified. Bovine adenovirus 3, Bovine adeno-associated virus, Bovine influenza D virus, Bovine Parvovirus 2, Bovine herpesvirus 6, Bovine rhinitis A virus, and multiple genotypes of Bovine rhinitis B virus were identified. The genomes of a previously uncharacterized astrovirus and picobirnaviruses were also partially or fully sequenced. Using real-time PCR, the rates of detection of the eight viruses that generated the most reads were compared for the nasal secretions of 50 animals with BRD versus 50 location-matched healthy control animals. Viruses were detected in 68% of BRD-affected animals versus 16% of healthy control animals. Thirty-eight percent of sick animals versus 8% of controls were infected with multiple respiratory viruses. Significantly associated with BRD were Bovine adenovirus 3 ( P P = 0.005), and the recently described Bovine influenza D virus ( P = 0.006), which were detected either alone or in combination in 62% of animals with BRD. A metagenomics and real-time PCR detection approach in carefully matched cases and controls can provide a rapid means to identify viruses associated with a complex disease, paving the way for further confirmatory tests and ultimately to effective intervention strategies. IMPORTANCE Bovine respiratory disease is the most economically important disease affecting the cattle industry, whose complex root causes include environmental, genetics, and infectious factors. Using an unbiased metagenomics approach, we characterized the viruses in respiratory secretions from BRD cases and identified known and previously uncharacterized viruses belonging to seven viral families. Using a case-control format with location-matched animals, we compared the rates of viral detection and identified 3 viruses associated with severe BRD signs. Combining a metagenomics and case-control format can provide candidate pathogens associated with complex infectious diseases and inform further studies aimed at reducing their impact.

Xutao Deng - One of the best experts on this subject based on the ideXlab platform.

  • Virome of US Bovine calf serum
    Biologicals, 2017
    Co-Authors: Mohammadreza Sadeghi, Isis Kanevsky, Danielle M Yugo, Tung Gia Phan, Beatrix Kapusinszky, Tanja Opriessnig, Xutao Deng, Amelia R Woolums, David J. Hurley, Xiang-jin Meng
    Abstract:

    Abstract Using viral metagenomics we analyzed four Bovine serum pools assembled from 715 calves in the United States. Two Parvoviruses, Bovine Parvovirus 2 (BPV2) and a previously uncharacterized Parvovirus designated as bosavirus (BosaV), were detected in 3 and 4 pools respectively and their complete coding sequences generated. Based on NS1 protein identity, bosavirus qualifies as a member of a new species in the copiParvovirus genus. Also detected were low number of reads matching ungulate tetraParvovirus 2, Bovine hepacivirus, and several papillomaviruses. This study further characterizes the diversity of viruses in calf serum with the potential to infect fetuses and through fetal Bovine serum contaminate cell cultures.

  • a metagenomics and case control study to identify viruses associated with Bovine respiratory disease
    Journal of Virology, 2015
    Co-Authors: Terry Fei Fan Ng, Nikola O Kondov, Alison L. Van Eenennaam, Xutao Deng, Holly L. Neibergs
    Abstract:

    Bovine respiratory disease (BRD) is a common health problem for both dairy and beef cattle, resulting in significant economic loses. In order to identify viruses associated with BRD, we used a metagenomics approach to enrich and sequence viral nucleic acids in the nasal swabs of 50 young dairy cattle with symptoms of BRD. Following deep sequencing, de novo assembly, and translated protein sequence similarity searches, numerous known and previously uncharacterized viruses were identified. Bovine adenovirus 3, Bovine adeno-associated virus, Bovine influenza D virus, Bovine Parvovirus 2, Bovine herpesvirus 6, Bovine rhinitis A virus, and multiple genotypes of Bovine rhinitis B virus were identified. The genomes of a previously uncharacterized astrovirus and picobirnaviruses were also partially or fully sequenced. Using real-time PCR, the rates of detection of the eight viruses that generated the most reads were compared for the nasal secretions of 50 animals with BRD versus 50 location-matched healthy control animals. Viruses were detected in 68% of BRD-affected animals versus 16% of healthy control animals. Thirty-eight percent of sick animals versus 8% of controls were infected with multiple respiratory viruses. Significantly associated with BRD were Bovine adenovirus 3 (P < 0.0001), Bovine rhinitis A virus (P = 0.005), and the recently described Bovine influenza D virus (P = 0.006), which were detected either alone or in combination in 62% of animals with BRD. A metagenomics and real-time PCR detection approach in carefully matched cases and controls can provide a rapid means to identify viruses associated with a complex disease, paving the way for further confirmatory tests and ultimately to effective intervention strategies. IMPORTANCE Bovine respiratory disease is the most economically important disease affecting the cattle industry, whose complex root causes include environmental, genetics, and infectious factors. Using an unbiased metagenomics approach, we characterized the viruses in respiratory secretions from BRD cases and identified known and previously uncharacterized viruses belonging to seven viral families. Using a case-control format with location-matched animals, we compared the rates of viral detection and identified 3 viruses associated with severe BRD signs. Combining a metagenomics and case-control format can provide candidate pathogens associated with complex infectious diseases and inform further studies aimed at reducing their impact.

  • a metagenomics and case control study to identify viruses associated with Bovine respiratory disease
    Journal of Virology, 2015
    Co-Authors: Holly L. Neibergs, Nikola O Kondov, Xutao Deng, Eric Delwart, Alison L Van Eenennaam
    Abstract:

    ABSTRACT Bovine respiratory disease (BRD) is a common health problem for both dairy and beef cattle, resulting in significant economic loses. In order to identify viruses associated with BRD, we used a metagenomics approach to enrich and sequence viral nucleic acids in the nasal swabs of 50 young dairy cattle with symptoms of BRD. Following deep sequencing, de novo assembly, and translated protein sequence similarity searches, numerous known and previously uncharacterized viruses were identified. Bovine adenovirus 3, Bovine adeno-associated virus, Bovine influenza D virus, Bovine Parvovirus 2, Bovine herpesvirus 6, Bovine rhinitis A virus, and multiple genotypes of Bovine rhinitis B virus were identified. The genomes of a previously uncharacterized astrovirus and picobirnaviruses were also partially or fully sequenced. Using real-time PCR, the rates of detection of the eight viruses that generated the most reads were compared for the nasal secretions of 50 animals with BRD versus 50 location-matched healthy control animals. Viruses were detected in 68% of BRD-affected animals versus 16% of healthy control animals. Thirty-eight percent of sick animals versus 8% of controls were infected with multiple respiratory viruses. Significantly associated with BRD were Bovine adenovirus 3 ( P P = 0.005), and the recently described Bovine influenza D virus ( P = 0.006), which were detected either alone or in combination in 62% of animals with BRD. A metagenomics and real-time PCR detection approach in carefully matched cases and controls can provide a rapid means to identify viruses associated with a complex disease, paving the way for further confirmatory tests and ultimately to effective intervention strategies. IMPORTANCE Bovine respiratory disease is the most economically important disease affecting the cattle industry, whose complex root causes include environmental, genetics, and infectious factors. Using an unbiased metagenomics approach, we characterized the viruses in respiratory secretions from BRD cases and identified known and previously uncharacterized viruses belonging to seven viral families. Using a case-control format with location-matched animals, we compared the rates of viral detection and identified 3 viruses associated with severe BRD signs. Combining a metagenomics and case-control format can provide candidate pathogens associated with complex infectious diseases and inform further studies aimed at reducing their impact.

Daniel Schwartz - One of the best experts on this subject based on the ideXlab platform.

  • the canine minute virus minute virus of canines is a distinct Parvovirus that is most similar to Bovine Parvovirus
    Virology, 2002
    Co-Authors: Daniel Schwartz, Bryan Green, Leland E Carmichael, Colin R Parrish
    Abstract:

    We characterized the genome and proteins of the canine minute virus (the minute virus of canines (MVC)). The genome sequence showed MVC to be an autonomous Parvovirus encoding a large nonstructural protein 1 gene, a smaller nonstructural protein, and overlapping VP1 and VP2 protein genes. The virus was most closely related to Bovine Parvovirus (BPV), with which it was 43% identical at the DNA sequence level, while the NS1 and VP1 proteins were 33.6 and 41.4% identical to those of BPV, respectively. Spliced messages of the NS1 gene transcripts were detected by RT-PCR. VP1 and VP2 proteins were detected in purified capsids, as were modified versions of each protein, and VP3 was also found in full capsids.

  • rapid communication the canine minute virus minute virus of canines is a distinct Parvovirus that is most similar to Bovine Parvovirus
    2002
    Co-Authors: Daniel Schwartz, Bryan Green, Leland E Carmichael, Colin R Parrish
    Abstract:

    We characterized the genome and proteins of the canine minute virus (the minute virus of canines (MVC)). The genome sequence showed MVC to be an autonomous Parvovirus encoding a large nonstructural protein 1 gene, a smaller nonstructural protein, and overlapping VP1 and VP2 protein genes. The virus was most closely related to Bovine Parvovirus (BPV), with which it was 43% identical at the DNA sequence level, while the NS1 and VP1 proteins were 33.6 and 41.4% identical to those of BPV, respectively. Spliced messages of the NS1 gene transcripts were detected by RT-PCR. VP1 and VP2 proteins were detected in purified capsids, as were modified versions of each protein, and VP3 was also found in full capsids.