Evidence map›Paper›PMID 38693183›Full record

ArticleScientific reports2024

Unraveling the phylogenetics of genetically closely related species, Haemaphysalis japonica and Haemaphysalis megaspinosa, using entire tick mitogenomes and microbiomes.

Mohamed Abdallah Mohamed Moustafa, Wessam M A Mohamed, Elisha Chatanga, Doaa Naguib, Keita Matsuno, Alexander W Gofton, Stephen C Barker, Nariaki Nonaka, Ryo Nakao

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 5 countries.

Mohamed Abdallah Mohamed MoustafaDepartment of Entomology, Rutgers School of Environmental and Biological Sciences, Rutgers the State University of New Jersey, New Brunswick, NJ, 08901, USA.
Wessam M A MohamedLaboratory of Parasitology, Department of Disease Control, Faculty of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido, 060-0818, Japan.
Elisha ChatangaLaboratory of Parasitology, Department of Disease Control, Faculty of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido, 060-0818, Japan.
Doaa NaguibLaboratory of Parasitology, Department of Disease Control, Faculty of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido, 060-0818, Japan.
Keita MatsunoOne Health Research Center, Hokkaido University, Sapporo, Japan.
Alexander W GoftonCSIRO, Health and Biosecurity, Canberra, ACT, Australia.
Stephen C BarkerDepartment of Parasitology, School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD, 4072, Australia.
Nariaki NonakaLaboratory of Parasitology, Department of Disease Control, Faculty of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido, 060-0818, Japan.
Ryo NakaoLaboratory of Parasitology, Department of Disease Control, Faculty of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido, 060-0818, Japan. ryo.nakao@vetmed.hokudai.ac.jp.
Hokkaido University · JPCSIRO Health and Biosecurity · AUMansoura University · EGSapporo University · JPSouth Valley University · EGUniversity of Queensland · AU

Funding

Japan Society for the Promotion of Science 16H06431Japan Society for the Promotion of Science 19F19097Japan Society for the Promotion of Science 19H03118Japan Society for the Promotion of Science 20K21358Japan Society for the Promotion of Science 20KK0151
6 · The paper itself

Abstract

Ticks have a profound impact on public health. Haemaphysalis is one of the most widespread genera in Asia, including Japan. The taxonomy and genetic differentiation of Haemaphysalis spp. is challenging. For instance, previous studies struggled to distinguish Haemaphysalis japonica and Haemaphysalis megaspinosa due to the dearth of nucleotide sequence polymorphisms in widely used barcoding genes. The classification of H. japonica japonica and its related sub-species Haemaphysalis japonica douglasi or Haemaphysalis jezoensis is also confused due to their high morphological similarity and a lack of molecular data that support the current classification. We used mitogenomes and microbiomes of H. japonica and H. megaspinosa to gain deeper insights into the phylogenetic relationships and genetic divergence between two species. Phylogenetic analyses of concatenated nucleotide sequences of protein-coding genes and ribosomal DNA genes distinguished H. japonica and H. megaspinosa as monophyletic clades, with further subdivision within the H. japonica clade. The 16S rRNA and NAD5 genes were valuable markers for distinguishing H. japonica and H. megaspinosa. Population genetic structure analyses indicated that genetic variation within populations accounted for a large proportion of the total variation compared to variation between populations. Microbiome analyses revealed differences in alpha and beta diversity between H. japonica and H. megaspinosa: H. japonica had the higher diversity. Coxiella sp., a likely endosymbiont, was found in both Haemaphysalis species. The abundance profiles of likely endosymbionts, pathogens, and commensals differed between H. japonica and H. megaspinosa: H. megaspinosa was more diverse.

Indexed as

IxodidaeMicrobiotaPhylogenyRNA, Ribosomal, 16SAnimalsGenetic VariationGenome, MitochondrialRNA, Ribosomal, 16SCoxiellaEndosymbiontHaemaphysalisMicrobiomeMitogenomeTick

Identifiers

PMID38693183
PMCPMC11063046
OpenAlexW4396553556

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.