Evidence map›Paper›PMID 21072538›Full record

ArticleParasitology research2011

Identification of astigmatid mites using ITS2 and COI regions.

Bin Yang, Junlong Cai, Xunjia Cheng

Abstract read
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In one paragraph

Article in Parasitology research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.9field-weighted citation impact, top 7% 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

25 citing papers in PubMed, 46 citations in OpenAlex.

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  9. A rapid identification method for common astigmatid species based on multiplex polymerase chain reaction.Veterinary research forum : an international quarterly journal · 2022
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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

3 authors at 1 institution in 1 country.

Bin YangDepartment of Microbiology and Parasitology, Shanghai Medical College, Fudan University, No. 138, Yixueyuan Road, Shanghai, 200032, China.
Junlong Cai
Xunjia Cheng
Shanghai Medical College of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of astigmatid mites based on their morphological characteristics is difficult because of the similarity of their organs, especially in immature mites. The ribosomal second internal transcribed spacer (ITS2) and the mitochondrial cytochrome oxidase subunit I (COI) regions are highly conserved in the eukaryotes and are usually used as barcodes. The ITS2 and COI regions of six species of astigmatid mites (Aleuroglyphus ovatus, Blomia tropicalis, Dermatophagoides farinae, Dermatophagoides pteronyssinus, Euroglyphus maynei, Tyrophagus putrescentiae) were obtained by polymerase chain reaction and sequenced. The lengths of the ITS2 sequences varied from 316 to 488 bp, while the COI regions were 377 or 378 bp long. Considering the ITS2 genes, the intraspecific genetic distance was in the range of 0.00-0.077844, whereas the interspecific genetic distance was 0.202426-0.912959. The values were 0.000-0.029748 and 0.138403-0.279304 for intra- and interspecific genetic distances when COI genes were used. The phylogenetic trees inferred from the ITS2 and the COI regions, by using maximum parsimony and neighbor-joining methods, were identical to those based on their morphological classification. Thus, the ITS2 and COI regions can be applied as barcodes to identify different species of astigmatid mites.

Indexed as

AnimalsDNA Barcoding, TaxonomicDNA, MitochondrialDNA, RibosomalDNA, Ribosomal SpacerElectron Transport Complex IVMitesMitochondriaPhylogenySpecies SpecificityDNA, MitochondrialDNA, RibosomalDNA, Ribosomal SpacerElectron Transport Complex IV

Identifiers

PMID21072538
OpenAlexW2155514034

What OpenQuestion holds

Textmetadata
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.