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[Screening and bioinformatic analysis of trehalase in Thelazia callipaeda].
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi. 2020 Feb 18; 32(1):60-68.ZX

Abstract

OBJECTIVE

To characterize the trehalase gene in Thelazia callipaeda through screening the annotated data of the T. callipaeda genome, and to investigate the biological characteristics of the trehalase gene-coding protein.

METHODS

The trehalase gene was screened from the T. callipaeda genome and subjected to validation by using a PCR assay. The structural features of the coding protein were analyzed with bioinformatics tools, including hydrophobicity, transmembrane region, signal peptides, conserved domains, as well as the secondary and tertiary structures and the antigen epitope. Homology analysis of the amino acid sequences was performed, and the phylogenetic tree was built by the MEGA X software. In addition, the protein-protein interaction network was deduced from the STRING database.

RESULTS

The sequence of the trehalase gene with the complete CDS region was obtained from T. callipaeda genome, which had a length of 1 638 bp and encoded 545 amino acids. The encoded protein was predicted to have a molecular weight of 63 478.48 ku and be a secretory protein. The 5' domain of the encoded protein contained a signal peptide without transmembrane regions, and was predicted to contain 7 antigen epitopes. Based on the protein-protein interaction network of nematodes in the STRING database, the protein-protein interaction network of the trehalase gene of T. callipaeda was deduced, and 27 interactions covering 10 genes were identified.

CONCLUSIONS

A trehalase gene is successfully identified in T. callipaeda genome and its coding protein receives a bioinformatics analysis, which provides insights into the research on the biological functions of the protein and the screening of vaccine candidates for thelaziasis callipaeda.

Authors+Show Affiliations

Zunyi Medical University, Zunyi 563003, China. Key Laboratory of Gene Diagnosis and Therapy of Education Office of Guizhou Province, China. Chinese Center for Disease Control and Prevention, China.Xinpu District Sub-bureau of Public Security, Zunyi Municipal Bureau of Public Security, Guizhou Province, China.Zunyi Medical University, Zunyi 563003, China.Zunyi Medical University, Zunyi 563003, China. Key Laboratory of Gene Diagnosis and Therapy of Education Office of Guizhou Province, China.Chinese Center for Disease Control and Prevention, China.Zunyi Medical University, Zunyi 563003, China.

Pub Type(s)

Journal Article

Language

chi

PubMed ID

32185929

Citation

Zheng, M H., et al. "[Screening and Bioinformatic Analysis of Trehalase in Thelazia Callipaeda]." Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi = Chinese Journal of Schistosomiasis Control, vol. 32, no. 1, 2020, pp. 60-68.
Zheng MH, Ye CL, Li XC, et al. [Screening and bioinformatic analysis of trehalase in Thelazia callipaeda]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi. 2020;32(1):60-68.
Zheng, M. H., Ye, C. L., Li, X. C., Wang, L. J., Shen, Y. J., & Xu, D. L. (2020). [Screening and bioinformatic analysis of trehalase in Thelazia callipaeda]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi = Chinese Journal of Schistosomiasis Control, 32(1), 60-68. https://doi.org/10.16250/j.32.1374.2019133
Zheng MH, et al. [Screening and Bioinformatic Analysis of Trehalase in Thelazia Callipaeda]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi. 2020 Feb 18;32(1):60-68. PubMed PMID: 32185929.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - [Screening and bioinformatic analysis of trehalase in Thelazia callipaeda]. AU - Zheng,M H, AU - Ye,C L, AU - Li,X C, AU - Wang,L J, AU - Shen,Y J, AU - Xu,D L, PY - 2020/3/19/entrez PY - 2020/3/19/pubmed PY - 2020/3/25/medline KW - Bioinformatic analysis KW - Genome KW - Thelazia callipaeda KW - Trehalase SP - 60 EP - 68 JF - Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control JO - Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi VL - 32 IS - 1 N2 - OBJECTIVE: To characterize the trehalase gene in Thelazia callipaeda through screening the annotated data of the T. callipaeda genome, and to investigate the biological characteristics of the trehalase gene-coding protein. METHODS: The trehalase gene was screened from the T. callipaeda genome and subjected to validation by using a PCR assay. The structural features of the coding protein were analyzed with bioinformatics tools, including hydrophobicity, transmembrane region, signal peptides, conserved domains, as well as the secondary and tertiary structures and the antigen epitope. Homology analysis of the amino acid sequences was performed, and the phylogenetic tree was built by the MEGA X software. In addition, the protein-protein interaction network was deduced from the STRING database. RESULTS: The sequence of the trehalase gene with the complete CDS region was obtained from T. callipaeda genome, which had a length of 1 638 bp and encoded 545 amino acids. The encoded protein was predicted to have a molecular weight of 63 478.48 ku and be a secretory protein. The 5' domain of the encoded protein contained a signal peptide without transmembrane regions, and was predicted to contain 7 antigen epitopes. Based on the protein-protein interaction network of nematodes in the STRING database, the protein-protein interaction network of the trehalase gene of T. callipaeda was deduced, and 27 interactions covering 10 genes were identified. CONCLUSIONS: A trehalase gene is successfully identified in T. callipaeda genome and its coding protein receives a bioinformatics analysis, which provides insights into the research on the biological functions of the protein and the screening of vaccine candidates for thelaziasis callipaeda. SN - 1005-6661 UR - https://www.unboundmedicine.com/medline/citation/32185929/[Screening_and_bioinformatic_analysis_of_trehalase_in_Thelazia_callipaeda] DB - PRIME DP - Unbound Medicine ER -