Evidence map›Paper›PMID 36752946›Full record

ArticleVeterinary research communications2023

Molecular identification of Sarcocystis species in sika deer (Cervus nippon) of free-ranging populations in Germany and Austria.

Petras Prakas, Steffen Rehbein, Eglė Rudaitytė-Lukošienė, Dalius Butkauskas

Abstract read
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Article in Veterinary research communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Epidemiology and First Molecular Characterization ofAnimals : an open access journal from MDPI · 2026
    Article
  2. High prevalence ofInternational journal for parasitology. Parasites and wildlife · 2025
    Article
  3. First Report ofAnimals : an open access journal from MDPI · 2023
    Article
  4. Veterinary sciences · 2023
    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

4 authors.

Petras PrakasNature Research Centre, Akademijos Str. 2, Vilnius, 08412, Lithuania. prakaspetras@gmail.com.
Steffen RehbeinKathrinenhof Research Center, Boehringer Ingelheim Vetmedica GmbH, Walchenseestr. 8-12, 83101, Rohrdorf, Germany.
Eglė Rudaitytė-LukošienėNature Research Centre, Akademijos Str. 2, Vilnius, 08412, Lithuania.
Dalius ButkauskasNature Research Centre, Akademijos Str. 2, Vilnius, 08412, Lithuania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, for the first time, Sarcocystis species were identified molecularly in sika deer (Cervus nippon) that form free-ranging populations in several countries of Europe. Diaphragm muscle samples from 151 deer from 10 populations in Germany and Austria were examined for sarcocysts. By one-gram methylene-blue staining, sarcocysts were recorded in samples of 114 animals (75.5%) which originated from all populations. Sarcocysts were more often (p < 0.0001) recorded in yearling and adult deer than in calves. Infection intensity was generally low with ~ 70% of the sarcocyst positive deer harbouring ≤ 10 sarcocysts per 1-gram diaphragm muscle. Based on cox1 sequence comparison, 10 species of Sarcocystis, all previously reported parasitizing cervids, were identified: S. elongata, S. entzerothi, S. hjorti, S. iberica, S. japonica, S. linearis, S. morae, S. pilosa, S. silva and S. truncata. The prevailing S. hjorti was detected in sika deer of all 10 populations. The identification in sika deer of S. hjorti, S. iberica, S. elongata, S. linearis, S. morae and S. silva constitutes new host records. With the additional species records of this study, the highest number of Sarcocystis species, at least 16, was identified in this host.

Indexed as

Cattle DiseasesDeerSarcocystisSarcocystosisAnimalsAustriaCattleGermanyPhylogenycox1EuropeFree-rangingMolecular identificationSarcocystisSika deer

Identifiers

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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.