| Title |
Single-nucleotide polymorphisms in CLEC7A, CD209 and TLR4 gene and their association with susceptibility to paratuberculosis in Indian cattle
|
|---|---|
| Published in |
Journal of Genetics, February 2020
|
| DOI | 10.1007/s12041-019-1172-4 |
| Pubmed ID | |
| Authors |
B. Gopi, Ran Vir Singh, Satish Kumar, Sushil Kumar, Anuj Chauhan, Amit Kumar, Shoor Vir Singh |
| Abstract |
The aim of this study was to identify the single-nucleotide polymorphisms (SNPs) in bovine candidate genes CLEC7A, CD209 and TLR4, and explore the association between these SNPs with the occurrence of bovine paratuberculosis (PTB) disease. For this purpose, 549 animals were screened by a panel of four diagnostic tests, namely Johnin PPD test, ELISA test, faecal microscopy and IS900 blood PCR against Mycobacterium avium ssp. paratuberculosis (MAP) to develop case-control populations. SNPs were genotyped by polymerase chain reaction-restriction fragment length polymorphism method. Genotypic-phenotypic associations were assessed by the PROCLOGISTIC procedure of SAS 9.3. Of the seven SNPs; rs110353594 in CLEC7A gene and rs8193046 in TLR4 gene were found to be associated with PTB. For SNP rs110353594, odds of CC and CT genotypes vs TT genotype was 1.543 (0.420-5.667; 95% CI) and 0.284 (0.104-0.774; 95% CI), respectively which means that CT genotype was more resistant than TT and CC genotypes against bovine PTB. For SNP rs8193046, odds of AA and AG genotypes versus GG genotype was 0.947 (0.296-3.034; 95% CI) and 3.947 (1.555-10.022; 95% CI), respectively, i.e. probability for getting an infection in animals with AG genotype was 3.94 times more as compared to GG genotype. Hence, a selection programme favouring CT genotype for rs110353594 and against AG genotype for rs8193046 may be beneficial for conferring resistance against bovine PTB. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 25% |
| Ireland | 1 | 25% |
| India | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 36% |
| Student > Master | 3 | 27% |
| Professor > Associate Professor | 2 | 18% |
| Lecturer | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Other | 0 | 0% |
| Readers by discipline | Count | As % |
|---|---|---|
| Veterinary Science and Veterinary Medicine | 5 | 45% |
| Biochemistry, Genetics and Molecular Biology | 2 | 18% |
| Agricultural and Biological Sciences | 2 | 18% |
| Immunology and Microbiology | 1 | 9% |
| Unknown | 1 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 06 May 2020.
All research outputs
#15,166,179
of 25,389,532 outputs
Outputs from Journal of Genetics
#271
of 673 outputs
Outputs of similar age
#240,577
of 470,059 outputs
Outputs of similar age from Journal of Genetics
#2
of 5 outputs
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