Evidence map›Paper›PMID 24604384›Full record

ArticleParasitology research2014

Molecular identification and phylogeny of Dermacentor nuttalli (Acari: Ixodidae).

Nina V Kulakova, Maxim A Khasnatinov, Elena A Sidorova, Renat V Adel'shin, Sergei I Belikov

Abstract read
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Article in Parasitology research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.0field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 33 citations in OpenAlex.

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  4. Molecular Characterization ofAnimals : an open access journal from MDPI · 2021
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  5. Molecular characterization ofInternational journal for parasitology. Parasites and wildlife · 2021
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  15. 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

5 authors at 5 institutions in 1 country.

Nina V KulakovaLimnological Institute SB RAS, Ulan-Batorskaya 3, Irkutsk, 664033, Russia, kulakova@lin.irk.ru.
Maxim A Khasnatinov
Elena A Sidorova
Renat V Adel'shin
Sergei I Belikov
Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing · RUIrkutsk Antiplague Research Institute of Siberia and Far East · RULimnological Institute · RUScientific Center of Family Health Problems and Human Reproduction · RUSiberian Branch of the Russian Academy of Sciences · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dermacentor nuttalli is an epidemiologically important tick in Palearctic Asia which transmits several infectious diseases including tularemia, North Asian tick-borne rickettsiosis, Lyme disease and tick-borne encephalitis. The genetic specificity and phylogeny of D. nuttalli from four geographic localities in Eastern Siberia were characterized using the mitochondrial (mt) 16S ribosomal RNA (rRNA) gene and internal transcribed spacer 2 (ITS2). Low genetic diversity was observed in the populations of ticks distributed from South Siberia to North China. From 11 detected mt 16S haplotypes, one was found in all populations, whereas the others were restricted to specific localities. These results suggested that the genetic structure of D. nuttalli represents integrated populations with no geographic isolation across the distribution area. The phylogenetic reconstructions inferred from the mt 16S rRNA gene and ITS2 were in agreement and showed a distinct D. nuttalli clade within a monophyletic Eurasian lineage of Dermacentor sp.

Indexed as

PhylogenyAnimalsChinaDermacentorDNA, MitochondrialDNA, Ribosomal SpacerGenetic VariationHaplotypesRNA, Ribosomal, 16SSequence Analysis, DNASiberiaDNA, MitochondrialDNA, Ribosomal SpacerRNA, Ribosomal, 16S

Identifiers

PMID24604384
OpenAlexW2053452052

What OpenQuestion holds

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Read underepoch 390

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.