porcine bocavirus: achievements in the past five years

Clicks: 186
ID: 169963
2014
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Popular

Ranked #204 of 245 articles by views in International journal of pharmaceutics

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 245 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Porcine bocavirus is a recently discovered virus that infects pigs and is classified within the Bocavirus genus (family Parvoviridae, subfamily Parvovirinae). The viral genome constitutes linear single-stranded DNA and has three open reading frames that encode four proteins: NS1, NP1, VP1, and VP2. There have been more than seven genotypes discovered to date. These genotypes have been classified into three groups based on VP1 sequence. Porcine bocavirus is much more prevalent in piglets that are co-infected with other pathogens than in healthy piglets. The virus can be detected using PCR, loop-mediated isothermal amplification, cell cultures, indirect immunofluorescence, and other molecular virology techniques. Porcine bocavirus has been detected in various samples, including stool, serum, lymph nodes, and tonsils. Because this virus was discovered only five years ago, there are still many unanswered questions that require further research. This review summarizes the current state of knowledge and primary research achievements regarding porcine bocavirus.
Reference Key
zhou2014virusesporcine Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Feng Zhou;Haoting Sun;Yuyan Wang
Journal International journal of pharmaceutics
Year 2014
DOI
10.3390/v6124946
URL
http://www.mdpi.com/1999-4915/6/12/4946
Keywords
Epidemiology detection phylogenetic analysis

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.