Evidence map›Paper›PMID 23071708›Full record

ArticlePloS one2012

Identifying the main mosquito species in China based on DNA barcoding.

Gang Wang, Chunxiao Li, Xiaoxia Guo, Dan Xing, Yande Dong, Zhongming Wang, Yingmei Zhang, Meide Liu, Zhong Zheng, Hengduan Zhang and 3 more

Abstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing 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

74 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Accurate identification of medically importantCurrent research in parasitology & vector-borne diseases · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. DNA Barcodes ofGenes · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

14 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

13 authors.

Gang WangInstitute of Microbiology and Epidemiology, Academy of Military Medical Science, Beijing, China.
Chunxiao Li
Xiaoxia Guo
Dan Xing
Yande Dong
Zhongming Wang
Yingmei Zhang
Meide Liu
Zhong Zheng
Hengduan Zhang
Xiaojuan Zhu
Zhiming Wu
Tongyan Zhao

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mosquitoes are insects of the Diptera, Nematocera, and Culicidae families, some species of which are important disease vectors. Identifying mosquito species based on morphological characteristics is difficult, particularly the identification of specimens collected in the field as part of disease surveillance programs. Because of this difficulty, we constructed DNA barcodes of the cytochrome c oxidase subunit 1, the COI gene, for the more common mosquito species in China, including the major disease vectors. A total of 404 mosquito specimens were collected and assigned to 15 genera and 122 species and subspecies on the basis of morphological characteristics. Individuals of the same species grouped closely together in a Neighborhood-Joining tree based on COI sequence similarity, regardless of collection site. COI gene sequence divergence was approximately 30 times higher for species in the same genus than for members of the same species. Divergence in over 98% of congeneric species ranged from 2.3% to 21.8%, whereas divergence in conspecific individuals ranged from 0% to 1.67%. Cryptic species may be common and a few pseudogenes were detected.

Indexed as

DNA Barcoding, TaxonomicPhylogenyAnimalsChinaCulicidaeElectron Transport Complex IVElectron Transport Complex IV

Identifiers

PMID23071708
PMCPMC3468562

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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.