Evidence map›Paper›PMID 41527034›Full record

ArticleBMC genomics2026

Optimized library preparation, sequencing, and data analysis protocols for the generation of orbivirus consensus sequences.

Tillie J Dunham, Tyler J Sherman, Kirsten J Reed, Corey Brelsfoard, Tavis K Anderson, Lee W Cohnstaedt, Mark D Stenglein, Christie E Mayo

Abstract read
In one paragraph

Article in BMC genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Tillie J DunhamCenter for Vector-Borne Infectious Diseases, Department of Microbiology, Immunology, and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, USA.
Tyler J ShermanDiagnostic Medicine Center, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, USA.
Kirsten J ReedDiagnostic Medicine Center, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, USA.
Corey BrelsfoardDepartment of Biological Sciences, Texas Tech University, Lubbock, TX, USA.
Tavis K AndersonNational Animal Disease Center, Agricultural Research Service, Department of Agriculture, Ames, IA, USA.
Lee W CohnstaedtAgricultural Research Service, Department of Agriculture, National Bio and Agro-Defense Facility, Manhattan, KS, USA.
Mark D StengleinCenter for Vector-Borne Infectious Diseases, Department of Microbiology, Immunology, and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, USA.
Christie E MayoCenter for Vector-Borne Infectious Diseases, Department of Microbiology, Immunology, and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, USA. christie.mayo@colostate.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole genome sequencing (WGS) via next-generation sequencing (NGS) platforms offers a powerful approach for investigating viral genetic diversity. Orbiviruses are an economically important group of arboviruses with a double-stranded RNA (dsRNA) genome consisting of 10 segments. Traditional approaches to virus sequencing relied primarily on processing with various treatments such as lithium chloride to enrich dsRNAs and then sequencing on Illumina platforms due to its lower error rate. To reduce the time and cost associated with orbivirus sequencing, we simplified the sample preparation, sequencing, and analysis protocols. Our optimized sample and library preparation protocols achieved comparable results to established methods while benefiting from simpler sample preparation. The optimized protocols for Illumina and Nanopore platforms (which produces longer reads) resulted in both platforms producing high quality whole genome sequences. To streamline the data analysis, we developed OrbiSeq, a reproducible Nextflow workflow for analysis and consensus sequence generation of orbivirus genomes from Illumina and Nanopore sequence data. While the OrbiSeq pipeline was optimized with orbivirus sequences, it can be used to recover consensus sequences for any segmented or non-segmented viral genome, provided that the sequence is sufficiently similar to existing reference sequences. The optimized protocols for producing viral sequences enhance opportunities for extensive genomic surveillance and in turn deeper evolutionary insights.

Indexed as

Consensus SequenceGene LibraryHigh-Throughput Nucleotide SequencingOrbivirusData AnalysisGenome, ViralSequence Analysis, DNAWhole Genome SequencingLibrary preparationNextflowNext-Generation sequencing (NGS)OrbiSeq pipelineOrbivirusReproducibilitySample preparationSegmented genomeViral genomicsWhole genome sequencing (WGS)

Identifiers

PMID41527034
PMCPMC12809950

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.