Evidence map›Paper›PMID 41121397›Full record

ArticleParasites & vectors2025

Cryptosporidium geckonae n. sp. (Apicomplexa: Cryptosporidiidae) in geckos.

Veronika Zikmundová, Nikola Holubová, Jana Fenclová, Bohumil Sak, Michael Rost, Agnieszka Gomułkiewicz, Roman Konečný, John McEvoy, Lihua Xiao, Martin Kváč

Abstract read
In one paragraph

Article in Parasites & vectors, 2025. 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. Article
  2. Article
  3. Occurrence and Genetic Diversity ofAnimals : an open access journal from MDPI · 2026
    Article
  4. Molecular detection and zoonotic potential ofFood and waterborne parasitology · 2026
    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

10 authors.

Veronika Zikmundová *Institute of Parasitology, Biology Centre of the Academy of Sciences of the Czech Republic, v.v.i., Branišovská 31, 370 05, České Budějovice, Czech Republic.
Nikola Holubová *Institute of Parasitology, Biology Centre of the Academy of Sciences of the Czech Republic, v.v.i., Branišovská 31, 370 05, České Budějovice, Czech Republic.
Jana FenclováInstitute of Parasitology, Biology Centre of the Academy of Sciences of the Czech Republic, v.v.i., Branišovská 31, 370 05, České Budějovice, Czech Republic.
Bohumil SakInstitute of Parasitology, Biology Centre of the Academy of Sciences of the Czech Republic, v.v.i., Branišovská 31, 370 05, České Budějovice, Czech Republic.
Michael RostFaculty of Agriculture and Technology, University of South Bohemia in České Budějovice, České Budějovice, Czech Republic.
Agnieszka GomułkiewiczDivision of Histology and Embryology, Department of Human Morphology and Embryology, Wroclaw Medical University, Wroclaw, Poland.
Roman KonečnýFaculty of Agriculture and Technology, University of South Bohemia in České Budějovice, České Budějovice, Czech Republic.
John McEvoyDepartment of Microbiological Sciences, North Dakota State University, Fargo, ND, USA.
Lihua XiaoState Key Laboratory for Animal Disease Control and Prevention, Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China.
Martin KváčInstitute of Parasitology, Biology Centre of the Academy of Sciences of the Czech Republic, v.v.i., Branišovská 31, 370 05, České Budějovice, Czech Republic. kvac@paru.cas.cz.

Funding

Grant Agency of the Czech Republic GACR 21-23773SGrant Agency of the University of South Bohemia 049/2024/Z
6 · The paper itself

Abstract

backgroundCryptosporidium is a globally prevalent parasite that infects the gastrointestinal tract of a large number of vertebrates. The Cryptosporidium sp. lizard genotype is found almost exclusively in geckos but has also been detected in a corn snake. In this study, the biology and genetic variability of the lizard genotype were investigated.

methodsThe genetic variability of the Cryptosporidium sp. lizard genotype was analysed by polymerase chain reaction (PCR) and Sanger sequencing of the SSU rRNA, actin, HSP70 and COWP genes. Its biological characteristics, including oocyst size, tissue tropism and associated pathology, were investigated using light microscopy, electron microscopy and histological techniques. Experimental infections were performed to assess host specificity and infectivity.

resultsPhylogenetic analysis of the target genes confirmed that the Cryptosporidium sp. lizard genotype is genetically distinct from other Cryptosporidium species. Experimental infections showed that chickens, mice and corn snakes were not susceptible to this genotype, as no infection was detected. In contrast, leopard geckos began to excrete oocysts between 6 and 8 days post-infection, although they showed no clinical symptoms. Excretion of oocysts continued for over 200 days. Oocysts isolated from naturally infected leopard and smooth knob-tailed geckos were morphometrically identical to those from experimentally infected leopard geckos and measured 5.89 × 4.79 μm. The parasite mainly colonised the stomach, where the highest intensity of infection was observed, but was also found throughout the intestine and in the lungs.

conclusionsDue to the distinct genetic differences, host range and tissue tropism, we propose the name Cryptosporidium geckonae n. sp. for this organism, which was previously referred to as Cryptosporidium sp. lizard genotype.

Indexed as

CryptosporidiosisCryptosporidiumLizardsAnimalsChickensDNA, ProtozoanFecesGenetic VariationGenotypeHost SpecificityMiceOocystsPhylogenySnakesDNA, ProtozoanBiologyCourse of infectionCryptosporidiosisGeckoGenetic diversityOocyst sizePhylogeny

Identifiers

PMID41121397
PMCPMC12542198

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.