ISSN: 0973-7510

E-ISSN: 2581-690X

Anuj Chauhan1 , Sandeep Maurya1, Sanjeev Shukla1, Ran Vir Singh1, Arvind Sonwane1, Chandan Prakash2, Raj Veer Maurya1, Pushpendra Kumar1, Sarvjeet1, Amit Baranwal1, Deepak Sharma1 and Bharat Bhushan1
1Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh – 243 122, India.
2Centre for Animal Disease Research and Diagnosis, Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh – 243 122, India.
J Pure Appl Microbiol. 2015;9(Spl. Edn. 2):297-305
© The Author(s). 2015
Received: 18/07/2015 | Accepted: 06/09/2015 | Published: 30/11/2015

Dissecting variation in gene expression between infected and healthy controls for the genes involved in pathways of immune response to Mycobacterium avium subsp. Paratuberculosis (MAP) infection will allow us to test the hypothesis that variation in expression of these genes influences the disease status in animals. Thus the objective of this study was to analyze differential expression profiles of TLR2, TLR4, IFN-ã, IL2, IL8, IL16 and TNF genes using qRT-PCR in Mycobacterium avium subsp. Paratuberculosis infected cattle vis a vis healthy controls and to assess whether any inherent gene expression patterns are visible for these key innate immune response genes. In the present investigation, distinctive gene expression patterns between PBMCs of healthy cattle and those exposed to MAP. Highest fold change expression was found in IFN-ã gene which was significantly upregulated (7.24 fold, p = 0.0367) in PBMC’s of MAP infected cattle vis a vis healthy controls Expression of TLR2 and IL8 genes were also significantly upregulated in PBMC’s of MAP infected cattle as compared to healthy cattle. Whereas TNF and IL2 genes revealed significant repression in mRNA expression in PBMC’s of MAP infected cattle relative to healthy controls. However in case of TLR4 and IL16 genes, non significant differences were observed for mRNA expression between PBMC’s of MAP infected cattle and Healthy controls. Our results indicate that differences at mRNA level can be utilized in biomarker based segregation of infected and healthy and understanding host-pathogen interactions.


Expression, MAP, Genes, Immune response, PBMC

Article Metrics

Article View: 511

Share This Article

© The Author(s) 2015. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License which permits unrestricted use, sharing, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.