Evidence map›Paper›PMID 32811542›Full record

ArticleParasites & vectors2020

Population structure and geographical segregation of Cryptosporidium parvum IId subtypes in cattle in China.

Zhenjie Zhang, Suhui Hu, Wentao Zhao, Yaqiong Guo, Na Li, Zezhong Zheng, Longxian Zhang, Martin Kváč, Lihua Xiao, Yaoyu Feng

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

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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

10 authors at 3 institutions in 2 countries.

Zhenjie ZhangCenter for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong, 510642, China.
Suhui HuCenter for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong, 510642, China.
Wentao ZhaoCenter for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong, 510642, China.
Yaqiong GuoCenter for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong, 510642, China.
Na LiCenter for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong, 510642, China.
Zezhong ZhengCenter for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong, 510642, China.
Longxian ZhangCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, China.
Martin KváčInstitute of Parasitology, Biology Centre of the Academy of Sciences of the Czech Republic, České Budějovice, 37005, Czech Republic.
Lihua XiaoCenter for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong, 510642, China. lxiao1961@gmail.com.ORCID http://orcid.org/0000-0001-8532-2727
Yaoyu FengCenter for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong, 510642, China. yyfeng@scau.edu.cn.
South China Agricultural University · CNHenan Agricultural University · CNInstitute of Parasitology · CZ

Funding

111 Project D20008National Natural Science Foundation of China U1901208National Natural Science Foundation of China (CN) 31820103014
6 · The paper itself

Abstract

backgroundCryptosporidium parvum is a zoonotic pathogen worldwide. Extensive genetic diversity and complex population structures exist in C. parvum in different geographical regions and hosts. Unlike the IIa subtype family, which is responsible for most zoonotic C. parvum infections in industrialized countries, IId is identified as the dominant subtype family in farm animals, rodents and humans in China. Thus far, the population genetic characteristics of IId subtypes in calves in China are not clear.

methodsIn the present study, 46 C. parvum isolates from dairy and beef cattle in six provinces and regions in China were characterized using sequence analysis of eight genetic loci, including msc6-7, rpgr, msc6-5, dz-hrgp, chom3t, hsp70, mucin1 and gp60. They belonged to three IId subtypes in the gp60 gene, including IIdA20G1 (n = 17), IIdA19G1 (n = 24) and IIdA15G1 (n = 5). The data generated were analyzed for population genetic structures of C. parvum using DnaSP and LIAN and subpopulation structures using STRUCTURE, RAxML, Arlequin, GENALEX and Network.

resultsSeventeen multilocus genotypes were identified. The results of linkage disequilibrium analysis indicated the presence of an epidemic genetic structure in the C. parvum IId population. When isolates of various geographical areas were treated as individual subpopulations, maximum likelihood inference of phylogeny, pairwise genetic distance analysis, substructure analysis, principal components analysis and network analysis all provided evidence for geographical segregation of subpopulations in Heilongjiang, Hebei and Xinjiang. In contrast, isolates from Guangdong, Shanghai and Jiangsu were genetically similar to each other.

conclusionsData from the multilocus analysis have revealed a much higher genetic diversity of C. parvum than gp60 sequence analysis. Despite an epidemic population structure, there is an apparent geographical segregation in C. parvum subpopulations within China.

Indexed as

AnimalsCattleCattle DiseasesChinaCryptosporidiosisCryptosporidiumCryptosporidium parvumGenes, ProtozoanGenetics, PopulationGenetic VariationGenotypeHumansMultilocus Sequence TypingPhylogenyPhylogeographyZoonosesCattleChinaCryptosporidium parvumEpidemicGeographical segregation

Identifiers

PMID32811542
PMCPMC7437029
OpenAlexW3056459751

What OpenQuestion 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 OpenQuestion graph.