Evidence map›Paper›PMID 37247570›Full record

ArticleTicks and tick-borne diseases2023

A bioinformatics pipeline for a tick pathogen surveillance multiplex amplicon sequencing assay.

Lynn M Osikowicz, Andrias Hojgaard, Sarah Maes, Rebecca J Eisen, Mark D Stenglein

Abstract read
In one paragraph

Article in Ticks and tick-borne diseases, 2023. 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
–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

8 citing papers in PubMed.

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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

5 authors.

Lynn M OsikowiczDivision of Vector-Borne Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Fort Collins, CO, United States. Electronic address: vir5@cdc.gov.
Andrias HojgaardDivision of Vector-Borne Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Fort Collins, CO, United States.
Sarah MaesDivision of Vector-Borne Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Fort Collins, CO, United States.
Rebecca J EisenDivision of Vector-Borne Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Fort Collins, CO, United States.
Mark D StengleinCenter for Vector-Borne Infectious Disease, Department of Microbiology, Immunology, and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, United States.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

The Centers for Disease Control and Prevention's national tick and tick-borne pathogen surveillance program collects information to better understand the regional distribution, prevalence, and exposure risk of host-seeking medically important ticks in the United States. A recently developed next generation sequencing (NGS) targeted multiplex PCR amplicon sequencing (MPAS) assay has enhanced the detection capabilities for Ixodes-associated human pathogens found in Ixodes scapularis and Ixodes pacificus ticks compared to the routinely used real-time PCR assay. To operationalize the MPAS assay for the large number of tick surveillance submissions processed each year, a reproducible high throughput bioinformatics pipeline is needed. We describe the development and validation of the MPAS pipeline, a bioinformatics pipeline that identifies and summarizes amplicon sequences produced by the MPAS assay. This pipeline is portable and reproducible across different computing environments, and flexible by allowing modifications to input parameters, assay primer and reference sequences. The automation of the summary report, BLAST report, and phylogenetic analysis reduces the amount of time needed for downstream analysis. To validate this pipeline, we compared the analysis of a MPAS assay dataset consisting of 175 I. scapularis nymphs with the MPAS pipeline and previously published results analyzed with a CLC Genomic Workbench workflow. The MPAS pipeline identified the same number of positive ticks for Anaplasma phagocytophilum and Babesia species as the original analysis, but the MPAS pipeline provided enhanced sequencing resolution of Borrelia burgdorferi sensu lato co-infected samples. The reproducibility, flexibility, analysis automation, and improved sequence resolution of the MPAS pipeline make it well suited for a high throughput tick pathogen surveillance program.

Indexed as

Borrelia burgdorferiIxodesAnimalsComputational BiologyHumansPhylogenyReal-Time Polymerase Chain ReactionReproducibility of ResultsBioinformaticsNext generation sequencingTick-borne diseasesTick surveillance

Identifiers

PMID37247570
PMCPMC10878300

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Registered trials

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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.