Evidence map›Paper›PMID 28388925›Full record

ArticleVirology journal2017

A robust and cost-effective approach to sequence and analyze complete genomes of small RNA viruses.

Kiril M Dimitrov, Poonam Sharma, Jeremy D Volkening, Iryna V Goraichuk, Abdul Wajid, Shafqat Fatima Rehmani, Asma Basharat, Ismaila Shittu, Tony M Joannis, Patti J Miller and 1 more

Open access · goldAbstract read
In one paragraph

Article in Virology journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
8.5field-weighted citation impact, top 2% 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

55 citing papers in PubMed, 87 citations in OpenAlex.

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  14. Non-target RNA depletion strategy to improve sensitivity of next-generation sequencing for the detection of RNA viruses in poultry.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2022
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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

11 authors at 5 institutions in 4 countries.

Kiril M DimitrovExotic and Emerging Avian Viral Diseases Research Unit, Southeast Poultry Research Laboratory, US National Poultry Research Center, Agricultural Research Service, USDA, 934 College Station Road, Athens, GA, 30605, USA.
Poonam SharmaExotic and Emerging Avian Viral Diseases Research Unit, Southeast Poultry Research Laboratory, US National Poultry Research Center, Agricultural Research Service, USDA, 934 College Station Road, Athens, GA, 30605, USA.
Jeremy D VolkeningBASE2BIO, 1945 Arlington Drive, Oshkosh, WI, 54904, USA.
Iryna V GoraichukExotic and Emerging Avian Viral Diseases Research Unit, Southeast Poultry Research Laboratory, US National Poultry Research Center, Agricultural Research Service, USDA, 934 College Station Road, Athens, GA, 30605, USA.
Abdul WajidQuality Operations Laboratory (QOL), University of Veterinary and Animal Sciences, Syed Abdul Qadir Jilani Road, Lahore, 54000, Pakistan.
Shafqat Fatima RehmaniQuality Operations Laboratory (QOL), University of Veterinary and Animal Sciences, Syed Abdul Qadir Jilani Road, Lahore, 54000, Pakistan.
Asma BasharatQuality Operations Laboratory (QOL), University of Veterinary and Animal Sciences, Syed Abdul Qadir Jilani Road, Lahore, 54000, Pakistan.
Ismaila ShittuRegional Laboratory for Animal Influenza and other Transboundary Animal Diseases, National Veterinary Research Institute, PMB01, Vom, 930010, Plateau State, Nigeria.
Tony M JoannisRegional Laboratory for Animal Influenza and other Transboundary Animal Diseases, National Veterinary Research Institute, PMB01, Vom, 930010, Plateau State, Nigeria.
Patti J MillerExotic and Emerging Avian Viral Diseases Research Unit, Southeast Poultry Research Laboratory, US National Poultry Research Center, Agricultural Research Service, USDA, 934 College Station Road, Athens, GA, 30605, USA.
Claudio L AfonsoExotic and Emerging Avian Viral Diseases Research Unit, Southeast Poultry Research Laboratory, US National Poultry Research Center, Agricultural Research Service, USDA, 934 College Station Road, Athens, GA, 30605, USA. Claudio.Afonso@ars.usda.gov.
Agricultural Research Service · USUniversity of Veterinary and Animal Sciences · PKNational Veterinary Research Institute · NGU.S. National Poultry Research Center · USOshkosh (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNext-generation sequencing (NGS) allows ultra-deep sequencing of nucleic acids. The use of sequence-independent amplification of viral nucleic acids without utilization of target-specific primers provides advantages over traditional sequencing methods and allows detection of unsuspected variants and co-infecting agents. However, NGS is not widely used for small RNA viruses because of incorrectly perceived cost estimates and inefficient utilization of freely available bioinformatics tools.

methodsIn this study, we have utilized NGS-based random sequencing of total RNA combined with barcode multiplexing of libraries to quickly, effectively and simultaneously characterize the genomic sequences of multiple avian paramyxoviruses. Thirty libraries were prepared from diagnostic samples amplified in allantoic fluids and their total RNAs were sequenced in a single flow cell on an Illumina MiSeq instrument. After digital normalization, data were assembled using the MIRA assembler within a customized workflow on the Galaxy platform.

resultsTwenty-eight avian paramyxovirus 1 (APMV-1), one APMV-13, four avian influenza and two infectious bronchitis virus complete or nearly complete genome sequences were obtained from the single run. The 29 avian paramyxovirus genomes displayed 99.6% mean coverage based on bases with Phred quality scores of 30 or more. The lower and upper quartiles of sample median depth per position for those 29 samples were 2984 and 6894, respectively, indicating coverage across samples sufficient for deep variant analysis. Sample processing and library preparation took approximately 25-30 h, the sequencing run took 39 h, and processing through the Galaxy workflow took approximately 2-3 h. The cost of all steps, excluding labor, was estimated to be 106 USD per sample.

conclusionsThis work describes an efficient multiplexing NGS approach, a detailed analysis workflow, and customized tools for the characterization of the genomes of RNA viruses. The combination of multiplexing NGS technology with the Galaxy workflow platform resulted in a fast, user-friendly, and cost-efficient protocol for the simultaneous characterization of multiple full-length viral genomes. Twenty-nine full-length or near-full-length APMV genomes with a high median depth were successfully sequenced out of 30 samples. The applied de novo assembly approach also allowed identification of mixed viral populations in some of the samples.

Indexed as

AnimalsBirdsComputational BiologyCost-Benefit AnalysisGenomicsHigh-Throughput Nucleotide SequencingRNA VirusesVirologyAvian paramyxovirusComplete genomesDe novo assemblyGalaxyMixed infectionMultiplexingNewcastle disease virusNext-generation sequencing

Identifiers

PMID28388925
PMCPMC5384157
OpenAlexW2604967765

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.