Evidence map›Paper›PMID 33602311›Full record

ArticleBMC research notes2021

The application of next-generation sequence-based DNA barcoding for bloodmeal detection in host-seeking wild-caught Ixodes scapularis nymphs.

G A Lumsden, E V Zakharov, S Dolynskyj, J S Weese, L R Lindsay, C M Jardine

Abstract read
In one paragraph

Article in BMC research notes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

6 authors.

G A LumsdenOntario Veterinary College, University of Guelph, 50 Stone Road E., Guelph, ON, N1G2W1, Canada. glumsden@uoguelph.ca.
E V ZakharovCanadian Centre for DNA Barcoding, Biodiversity Institute of Ontario, University of Guelph, 579 Gordon St., Guelph, ON, N1G2W1, Canada.
S DolynskyjCanadian Centre for DNA Barcoding, Biodiversity Institute of Ontario, University of Guelph, 579 Gordon St., Guelph, ON, N1G2W1, Canada.
J S WeeseOntario Veterinary College, University of Guelph, 50 Stone Road E., Guelph, ON, N1G2W1, Canada.
L R LindsayPublic Health Agency of Canada, National Microbiology Laboratory, 1015 Arlington St., Winnipeg, MB, R3E 3R2, Canada.
C M JardineOntario Veterinary College, University of Guelph, 50 Stone Road E., Guelph, ON, N1G2W1, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveOur objective was to apply next-generation sequence-based DNA barcoding to identify the remnant larval bloodmeals in wild-caught host-seeking (unengorged) Ixodes scapularis nymphs (n = 216). To infer host species identification, vertebrate DNA was amplified using universal primers for cytochrome c oxidase subunit I (COI) and sequenced using next-generation sequencing (NGS) for comparison against known barcode references.

resultsBloodmeal identification was unsuccessful in most samples (99% of 216 specimens) demonstrating a very low detection rate of this assay. Sequences that surpassed quality thresholds were obtained for 41.7% of nymphs (n = 90) and of those, confident species identification was obtained for 15.6% of nymphs (n = 14). Wild host identifications were only obtained from 2 specimens, where DNA from the eastern grey squirrel (Sciurus carolinensis) was identified. Human and bovine DNA was identified in remaining nymphs and considered to be contaminants. Further optimization of the technique is required to improve detection of remnant bloodmeals in host-seeking nymphs.

Indexed as

IxodesAnimalsCattleDNADNA Barcoding, TaxonomicHumansNymphVertebratesDNABlacklegged tickBloodmeal analysisDNA barcodingHost identificationNext-generation sequencing

Identifiers

PMID33602311
PMCPMC7891142

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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.