Evidence map›Paper›PMID 25312450›Full record

ReviewVirus research2014

Beyond the whole genome consensus: unravelling of PRRSV phylogenomics using next generation sequencing technologies.

Zen H Lu, Alan L Archibald, Tahar Ait-Ali

Open access · hybridAbstract readReview
In one paragraph

Review in Virus research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Zen H LuThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, EH25 9RG Midlothian, United Kingdom. Electronic address: zen.lu@roslin.ed.ac.uk.
Alan L ArchibaldThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, EH25 9RG Midlothian, United Kingdom.
Tahar Ait-AliThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, EH25 9RG Midlothian, United Kingdom. Electronic address: tahar.aitali@roslin.ed.ac.uk.
Roslin Institute · GBUniversity of Edinburgh · GB

Funding

Biotechnology and Biological Sciences Research Council
6 · The paper itself

Abstract

The highly heterogeneous porcine reproductive and respiratory syndrome virus (PRRSV) is the causative agent responsible for an economically important pig disease with the characteristic symptoms of reproductive losses in breeding sows and respiratory illnesses in young piglets. The virus can be broadly divided into the European and North American-like genotype 1 and 2 respectively. In addition to this intra-strains variability, the impact of coexisting viral quasispecies on disease development has recently gained much attention; owing very much to the advent of the next-generation sequencing (NGS) technologies. Genomic data produced from the massive sequencing capacities of NGS have enabled the study of PRRSV at an unprecedented rate and details. Unlike conventional sequencing methods which require knowledge of conserved regions, NGS allows de novo assembly of the full viral genomes. Evolutionary variations gained from different genotypic strains provide valuable insights into functionally important regions of the virus. Together with the advancement of sophisticated bioinformatics tools, ultra-deep NGS technologies make the detection of low frequency co-evolving quasispecies possible. This short review gives an overview, including a proposed workflow, on the use of NGS to explore the genetic diversity of PRRSV at both macro- and micro-evolutionary levels.

Indexed as

Genetic VariationGenome, ViralHigh-Throughput Nucleotide SequencingPhylogenyAnimalsEvolution, MolecularPorcine Reproductive and Respiratory SyndromePorcine respiratory and reproductive syndrome virusSwinePhylogenomicsPRRSVQuasispeciesUltra-deep next generation sequencing

Identifiers

PMID25312450
PMCPMC4275598
OpenAlexW2148538673

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.