Evidence map›Paper›PMID 22069519›Full record

ReviewViruses2011

Next generation sequencing technologies for insect virus discovery.

Sijun Liu, Diveena Vijayendran, Bryony C Bonning

Open access · goldAbstract readReview
In one paragraph

Review in Viruses, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
10.5field-weighted citation impact, top 1% 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

60 citing papers in PubMed, 140 citations in OpenAlex.

  1. Article
  2. Exploring the Virome ofPathogens (Basel, Switzerland) · 2026
    Article
  3. The diversity of viral community inFrontiers in microbiology · 2025
    Article
  4. Discovery and Identification of Viruses Infecting Oomycetes.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Diversity of RNA viruses in agricultural insects.Computational and structural biotechnology journal · 2023
    Review
  11. Metagenomic analysis of viromes in honey bee colonies (Frontiers in cellular and infection microbiology · 2023
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. First Report ofInsects · 2020
    Article
  20. Article
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 1 institution in 1 country.

Sijun LiuDepartment of Entomology, Iowa State University, Ames, IA 50011, USA. sliu@iastate.edu
Diveena Vijayendran
Bryony C Bonning
Iowa State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insects are commonly infected with multiple viruses including those that cause sublethal, asymptomatic, and latent infections. Traditional methods for virus isolation typically lack the sensitivity required for detection of such viruses that are present at low abundance. In this respect, next generation sequencing technologies have revolutionized methods for the discovery and identification of new viruses from insects. Here we review both traditional and modern methods for virus discovery, and outline analysis of transcriptome and small RNA data for identification of viral sequences. We will introduce methods for de novo assembly of viral sequences, identification of potential viral sequences from BLAST data, and bioinformatics for generating full-length or near full-length viral genome sequences. We will also discuss implications of the ubiquity of viruses in insects and in insect cell lines. All of the methods described in this article can also apply to the discovery of viruses in other organisms.

Indexed as

AnimalsCell LineGene Expression ProfilingGenome, ViralGenomicsHigh-Throughput Nucleotide SequencingInsectaInsect VirusesRNA, ViralSequence Analysis, DNATranscriptomeVirus AssemblyRNA, Viralinsect virusnext generation sequencingsmall RNAtranscriptomevirus discovery

Identifiers

PMID22069519
PMCPMC3205385
OpenAlexW1986549656

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.