Evidence map›Paper›PMID 35644636›Full record

ArticleBMC genomics2022

A random priming amplification method for whole genome sequencing of SARS-CoV-2 virus.

Klaudia Chrzastek, Chandana Tennakoon, Dagmara Bialy, Graham Freimanis, John Flannery, Holly Shelton

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Agnostic Sequencing for Detection of Viral Pathogens.Clinical microbiology reviews · 2023
    Review
  6. Article
  7. 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

6 authors at 1 institution in 1 country.

Klaudia ChrzastekThe Pirbright Institute, Pirbright, Woking, Surrey, UK.
Chandana TennakoonThe Pirbright Institute, Pirbright, Woking, Surrey, UK.
Dagmara BialyThe Pirbright Institute, Pirbright, Woking, Surrey, UK.
Graham FreimanisThe Pirbright Institute, Pirbright, Woking, Surrey, UK.
John FlanneryThe Pirbright Institute, Pirbright, Woking, Surrey, UK.
Holly SheltonThe Pirbright Institute, Pirbright, Woking, Surrey, UK. Holly.Shelton@pirbright.ac.uk.
The Pirbright Institute · GB

Funding

Biotechnology and Biological Sciences Research Council BBS/E/I/00007037Biotechnology and Biological Sciences Research Council BBS/E/I/00007039
6 · The paper itself

Abstract

backgroundNon-targeted whole genome sequencing is a powerful tool to comprehensively identify constituents of microbial communities in a sample. There is no need to direct the analysis to any identification before sequencing which can decrease the introduction of bias and false negatives results. It also allows the assessment of genetic aberrations in the genome (e.g., single nucleotide variants, deletions, insertions and copy number variants) including in noncoding protein regions.

methodsThe performance of four different random priming amplification methods to recover RNA viral genetic material of SARS-CoV-2 were compared in this study. In method 1 (H-P) the reverse transcriptase (RT) step was performed with random hexamers whereas in methods 2-4 RT incorporating an octamer primer with a known tag. In methods 1 and 2 (K-P) sequencing was applied on material derived from the RT-PCR step, whereas in methods 3 (SISPA) and 4 (S-P) an additional amplification was incorporated before sequencing.

resultsThe SISPA method was the most effective and efficient method for non-targeted/random priming whole genome sequencing of SARS-CoV-2 that we tested. The SISPA method described in this study allowed for whole genome assembly of SARS-CoV-2 and influenza A(H1N1)pdm09 in mixed samples. We determined the limit of detection and characterization of SARS-CoV-2 virus which was 10

conclusionsThe SISPA method is predominantly useful for obtaining genome sequences from RNA viruses or investigating complex clinical samples as no prior sequence information is needed. It might be applied to monitor genomic virus changes, virus evolution and can be used for fast metagenomics detection or to assess the general picture of different pathogens within the sample.

Indexed as

COVID-19Influenza A Virus, H1N1 SubtypeRNA VirusesGenome, ViralHumansSARS-CoV-2Whole Genome SequencingCoronavirusInfluenza virusMetagenomicsRNASARS-CoV-2SISPAWhole genome sequencing

Identifiers

PMID35644636
PMCPMC9148844
OpenAlexW4281675169

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.