| Title |
Phylogenetic analysis of prospective M. bovis antigens with the aim of developing candidate vaccines for bovine tuberculosis
|
|---|---|
| Published in |
Journal of Genetic Engineering and Biotechnology, October 2023
|
| DOI | 10.1186/s43141-023-00552-3 |
| Pubmed ID | |
| Authors |
Zhandos Abay, Sandugash Sadikalieva, Kamshat Shorayeva, Bolat Yespembetov, Makpal Sarmykova, Kuanish Jekebekov, Gaukhar Tokkarina, Zharkinay Absatova, Elina Kalimolda, Yeraly Shayakhmetov, Sabina Moldagulova, Aisha Issabek, Syrym Kopeyev, Alisher Omurtay, Kainar Barakbayev, Markhabat Kassenov, Nazym Syrym, Yergali Abduraimov, Kunsulu Zakarya, Ainur Nurpeisova |
| Abstract |
Bovine Tuberculosis is a respiratory disease caused by the pathogen Mycobacterium bovis (M. bovis) that infects cattle. Though rare, this disease can also affect humans, as well as domestic and wild animals, making it a serious concern. Therefore, searching for alternative and new vaccines with high efficiency and safety is the main goal in bovine tuberculosis prophylaxis. New vaccines, known as vector vaccines, have the potential to become safe and effective alternatives to the traditional BCG vaccine. In this study, two major immunodominant proteins of M. bovis Esat-6 and TB10.4 were utilized to create a vector vaccine for bovine tuberculosis. The Esat-6 and TB10.4 genes were amplified by PCR. The amplified and purified PCR products were sequenced by the Sanger method. Assembly and multiple alignments of amplicon nucleotides were carried out in the MEGA 11 software. Two genes of the local strain 0078-M. bovis-8/RIBSP were sequenced. The nucleotide sequences were deposited in the GenBank database. Comparative analysis of the nucleotide sequences of the ESAT-6 and TB10.4 genes established 100% identity of the compared strains of Mycobacterium. Through the use of phylogenetic analysis, it has been confirmed that the amplified genes are related to the mycobacteria genus. This discovery allows the development of a vector vaccine against bovine tuberculosis utilising these genes. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 25% |
| Researcher | 2 | 25% |
| Unspecified | 1 | 13% |
| Unknown | 3 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Veterinary Science and Veterinary Medicine | 1 | 13% |
| Unspecified | 1 | 13% |
| Biochemistry, Genetics and Molecular Biology | 1 | 13% |
| Agricultural and Biological Sciences | 1 | 13% |
| Unknown | 4 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 October 2023.
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#21,015,131
of 25,809,966 outputs
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#233
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Outputs of similar age from Journal of Genetic Engineering and Biotechnology
#17
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