Evidence map›Paper›PMID 24589289›Full record

ArticleParasites & vectors2014

Assessment of four DNA fragments (COI, 16S rDNA, ITS2, 12S rDNA) for species identification of the Ixodida (Acari: Ixodida).

Jizhou Lv, Shaoqiang Wu, Yongning Zhang, Yan Chen, Chunyan Feng, Xiangfen Yuan, Guangle Jia, Junhua Deng, Caixia Wang, Qin Wang and 2 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Parasites & vectors, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 148 papers.

0numbers the graph read from it
0cells of the map it votes in
148citing papers in PubMed
11.7field-weighted citation impact, top 1% 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

148 citing papers in PubMed, 352 citations in OpenAlex.

  1. Article
  2. Dispersal ofOne health (Amsterdam, Netherlands) · 2026
    Article
  3. Article
  4. Article
  5. Detection ofPathogens (Basel, Switzerland) · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. First Record ofAnimals : an open access journal from MDPI · 2026
    Article
  10. Article
  11. Article
  12. National Distribution of Bisexual and ParthenogeneticJournal of parasitology research · 2026
    Article
  13. Under the scales: Identification of ticks in rehabilitated African pangolins and confiscated scales.International journal for parasitology. Parasites and wildlife · 2025
    Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Metagenomic Profile of Bacterial Communities ofPathogens (Basel, Switzerland) · 2025
    Article
  19. Article
  20. Article

88 more citing papers are in PubMed but not listed here.

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

12 authors at 1 institution in 1 country.

Jizhou Lv
Shaoqiang Wu
Yongning Zhang
Yan Chen
Chunyan Feng
Xiangfen Yuan
Guangle Jia
Junhua Deng
Caixia Wang
Qin Wang
Lin Mei
Xiangmei LinInstitute of Animal Quarantine, Chinese Academy of Inspection and Quarantine, Beijing 100029, People's Republic of China. linxm@caiq.gov.cn.
Chinese Academy of Inspection and Quarantine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 5' region of cytochrome oxidase I (COI) is the standard marker for DNA barcoding. However, COI has proved to be of limited use in identifying some species, and for some taxa, the coding sequence is not efficiently amplified by PCR. These deficiencies lead to uncertainty as to whether COI is the most suitable barcoding fragment for species identification of ticks.

methodsIn this study, we directly compared the relative effectiveness of COI, 16S ribosomal DNA (rDNA), nuclear ribosomal internal transcribed spacer 2 (ITS2) and 12S rDNA for tick species identification. A total of 307 sequences from 84 specimens representing eight tick species were acquired by PCR. Besides the 1,834 published sequences of 189 tick species from GenBank and the Barcode of Life Database, 430 unpublished sequences representing 59 tick species were also successfully screened by Bayesian analyses. Thereafter, the performance of the four DNA markers to identify tick species was evaluated by identification success rates given by these markers using nearest neighbour (NN), BLASTn, liberal tree-based or liberal tree-based (+threshold) methods.

resultsGenetic divergence analyses showed that the intra-specific divergence of each marker was much lower than the inter-specific divergence. Our results indicated that the rates of correct sequence identification for all four markers (COI, 16S rDNA, ITS2, 12S rDNA) were very high (> 96%) when using the NN methodology. We also found that COI was not significantly better than the other markers in terms of its rate of correct sequence identification. Overall, BLASTn and NN methods produced higher rates of correct species identification than that produced by the liberal tree-based methods (+threshold or otherwise).

conclusionsAs the standard DNA barcode, COI should be the first choice for tick species identification, while 16S rDNA, ITS2, and 12S rDNA could be used when COI does not produce reliable results. Besides, NN and BLASTn are efficient methods for species identification of ticks.

Indexed as

DNA Barcoding, TaxonomicAnimalsBase SequenceDNA PrimersDNA, RibosomalDNA, Ribosomal SpacerElectron Transport Complex IVGenetic MarkersGenetic VariationMolecular Sequence DataPhylogenyPolymerase Chain ReactionSequence AlignmentSequence Analysis, DNASpecies SpecificityTicksDNA PrimersDNA, RibosomalDNA, Ribosomal SpacerElectron Transport Complex IVGenetic Markers

Identifiers

PMID24589289
PMCPMC3945964
OpenAlexW2149893894

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.