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Toxoplasma gondii Strains: Bioinformatic Analysis of Heat shock protein 60 Gene in Experimentally Infected Mice

Article

Last updated: 22 Jan 2023

Subjects

-

Tags

Infectious diseases

Abstract

Background and study aim: There is a need for more detailed characterisation of T. gondii strains to determine the level of genetic variability which is useful in effective diagnosis, treatment and control of toxoplasmosis. This work aimed to assess the difference between the two sequences of Hsp60 gene of both RH and ME 49 strains of T. gondii and to investigate its role in the virulence of the parasite.
Materials and Methods: Two strains of T. gondii parasite RH and ME-49 were used for experimental infection of mice groups which were divided into group I (infected with RH strain), group II (infected with ME-49), and group III (non-infected non treated group).
Results: Histopathological examination showed that there was a statistically significant increase in the intensity of infection in liver and spleen of group I and in kidney and brain of group II, with no difference between both groups organs. Molecular and Bioinformatics studies included Primers design using primer 3 program, primer 2 (P2) was selected and used in PCR amplification according to its highest product size 247 bp. The results of Insilico PCR amplification program that was carried out to amplify Hsp60 gene theoretically using primer 2 (P2) showed higher number of positive samples that detected in group II than group I, there was significant statistical increase in frequency of brain infection in group II.
Conclusion: Our results showed that PCR was a highly sensitive, specific and rapid technique for detecting T. gondii. It revealed higher positive results in chronic strain (ME49) especially in brain tissue than acute strain (RH) but it may show false negative results in some samples. Both PCR technique and histopathological examination showed that the preferred tissue for detection of T. gondii in experimentally infected mice was liver & spleen in acute strain (RH) and brain & kidney in chronic strain (ME49).  Bioinformatic analysis of Hsp60 gene sequences of both (RH & ME 49) strains of T. gondii showed that there was a polymorphism in some nucleotides between the 2 sequences.

DOI

10.21608/aeji.2019.12426.1022

Keywords

Toxoplasmosis, RH strain, ME49 strain, Bioinformatics, Primer 3

Authors

First Name

Mona

Last Name

Mattar

MiddleName

-

Affiliation

Department of Medical Parasitology Faculty of Medicine, Zagazig University, Egypt.

Email

dr.monamattar@gmail.com

City

-

Orcid

-

First Name

Rania

Last Name

Hamza

MiddleName

-

Affiliation

Department of Medical Parasitology Faculty of Medicine, Zagazig University, Egypt.

Email

said_rania@ymail.com

City

-

Orcid

-

First Name

Ghada

Last Name

Fathy

MiddleName

-

Affiliation

Department of Medical Parasitology Faculty of Medicine, Zagazig University, Egypt.

Email

dghadaamts@yahoo.com

City

-

Orcid

-

First Name

Tahani

Last Name

Farag

MiddleName

-

Affiliation

Department of Medical Parasitology Faculty of Medicine, Zagazig University, Egypt.

Email

tahaniabdelkhalik2015@gmail.com

City

-

Orcid

-

First Name

Howayda

Last Name

Moawad

MiddleName

-

Affiliation

Department of Medical Parasitology Faculty of Medicine, Zagazig University, Egypt.

Email

drhowaydasaid@gmail.com

City

-

Orcid

-

First Name

Enas

Last Name

Elbahaie

MiddleName

-

Affiliation

Department of Medical Parasitology Faculty of Medicine, Zagazig University, Egypt.

Email

s.enas@yahoo.com

City

cairo

Orcid

-

First Name

Abdelnasser

Last Name

Madboli

MiddleName

-

Affiliation

Department of Animal reproduction and Artificial insemination ,Veterinary Research division,National Research Center,Egypt

Email

abdelnasser_mazen_monzer@yahoo.com

City

-

Orcid

-

First Name

Ashraf

Last Name

Barakat

MiddleName

-

Affiliation

Department of Zoonotic Diseases National Research Center,Egypt

Email

ashrafbarakat2@hotmail.com

City

-

Orcid

-

Volume

9

Article Issue

2

Related Issue

5647

Issue Date

2019-06-01

Receive Date

2019-04-30

Publish Date

2019-06-01

Page Start

103

Page End

118

Print ISSN

2090-7613

Online ISSN

2090-7184

Link

https://aeji.journals.ekb.eg/article_32480.html

Detail API

https://aeji.journals.ekb.eg/service?article_code=32480

Order

1

Type

Original Article

Type Code

616

Publication Type

Journal

Publication Title

Afro-Egyptian Journal of Infectious and Endemic Diseases

Publication Link

https://aeji.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023