Detection of Toxoplasma gondiioocysts in soils in Northwestern China using a new semi-nested PCR assayReport as inadecuate




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BMC Veterinary Research

, 10:238

Parasitology

Abstract

BackgroundToxoplasma gondii is a zoonotic pathogen that can infect a range of animals and humans. Ingestion of T. gondii oocysts in soil is a significant transmission route for humans and animals acquiring toxoplasmosis. In the present study, we developed a new semi-nested PCR method to determine T. gondii oocysts distribution in soils in northwestern China.

ResultsThe one tube semi-nested PCR assay was developed to detect the oocysts of T. gondii in soil, targeting the repetitive 529 bp fragment of T. gondii genomic DNA. Then a total of 268 soil samples, including 148 samples from Gansu Province and 120 samples from Qinghai Province, northwestern China, were examined by the semi-nested PCR method. One third of the positive samples were sequenced. The sensitivity of the semi-nested PCR assay was 10T. gondii oocysts in 5 g soil sample. Investigation of soil samples from northwestern China showed that 34 out of 268 soil samples 12.69% were T. gondii positive. Sequences of the partial 529 bp fragments varied from 0-1.2% among the sequenced samples. The prevalence of T. gondii oocysts in soil from cities 24-163 was slightly higher than that in soils from pasturing areas 10-105 P = 0.21. Among the different regions in cities, the prevalence of T. gondii oocysts in soils from parks was 14.15%, whereas that in soils from schools was 19.05%.

ConclusionsThe present study firstly reported the prevalence of T. gondii oocysts in soils in northwest China using a novel semi-nested PCR assay, which provided baseline data for the effective prevention and control of toxoplasmosis in this region.

KeywordsToxoplasma gondii Oocysts Semi-nested PCR Soil Electronic supplementary materialThe online version of this article doi:10.1186-s12917-014-0238-z contains supplementary material, which is available to authorized users.

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Author: Meng Wang - Peng Meng - Qiang Ye - Yuan-Hua Pu - Xiao-Yu Yang - Jian-Xun Luo - Nian-Zhang Zhang - De-Lin Zhang

Source: https://link.springer.com/







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