Evidence map›Paper›PMID 30908478›Full record

ArticlePLoS neglected tropical diseases2019

Development of a SNP barcode to genotype Babesia microti infections.

Mary Lynn Baniecki, Jade Moon, Kian Sani, Jacob E Lemieux, Stephen F Schaffner, Pardis C Sabeti

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. DoTropical medicine and infectious disease · 2024
    Article
  3. Article
  4. Technologies for Detection ofPathogens (Basel, Switzerland) · 2021
    Review
  5. Frontiers in microbiology · 2021
    Review
  6. Prevalence of protozoan parasites in small and medium mammals in Texas, USA.International journal for parasitology. Parasites and wildlife · 2020
    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.

Mary Lynn BanieckiBroad Institute, Cambridge, Massachusetts, United States of America.ORCID 0000-0003-3862-7231
Jade MoonDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America.
Kian SaniDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America.ORCID 0000-0002-0907-8643
Jacob E LemieuxBroad Institute, Cambridge, Massachusetts, United States of America.
Stephen F SchaffnerBroad Institute, Cambridge, Massachusetts, United States of America.
Pardis C SabetiBroad Institute, Cambridge, Massachusetts, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Babesia microti is tick-borne disease that is an emerging threat to public health due to increasing prevalence and expanding geographic range. Detection and constant surveillance of babesiosis is imperative for predicting pathogen expansion. Leveraging our whole genome sequence (WGS) analyses of B. microti, we developed a single nucleotide polymorphism (SNP)-based high resolution melt (HRM) surveillance tool. We developed our HRM assay using available sequence data and identified 775 SNPs. From these candidate SNPs, we developed a 32-SNP barcode that is robust and differentiates geographically distinct populations; it contains SNPs that are putatively neutral, located in nuclear, mitochondrial, and apicoplastal regions. The assays are reproducible and robust, requiring a small quantity of DNA (limit of detection as low as 10 pg.). We analyzed the performance of our HRM assay using 26 B. microti clinical samples used in our WGS study from babesiosis endemic regions in the United States. We identified a minimal barcode consisting of 25 SNPs that differentiate geographically distinct populations across all clinical samples evaluated (average minor allele frequency > 0.22). Supporting our previous WGS findings, our 25-SNP barcode identified distinct barcode signatures that segregate B. microti into two lineages: Northeast and Midwest, with the Northeast having three subpopulations: Connecticut/Rhode Island, Nantucket, and the R1 reference group. Our 25-SNP HRM barcode provides a robust means genetic marker set that will aid in tracking the increasing incidence and expanding geographic range of B. microti infections.

Indexed as

Babesia microtiBabesiosisDNA Barcoding, TaxonomicGenetic MarkersGenotypeHumansLimit of DetectionPolymorphism, Single NucleotideGenetic Markers

Identifiers

PMID30908478
PMCPMC6448979

What OpenQuestion holds

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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.