Expression of Recombinant Leptospiral Surface Lipoprotein-Lsa27 in E. coli and Its Evaluation for Serodiagnosis of Bovine Leptospirosis by Latex Agglutination Test.


Journal

Molecular biotechnology
ISSN: 1559-0305
Titre abrégé: Mol Biotechnol
Pays: Switzerland
ID NLM: 9423533

Informations de publication

Date de publication:
Dec 2020
Historique:
accepted: 24 09 2020
pubmed: 3 10 2020
medline: 22 6 2021
entrez: 2 10 2020
Statut: ppublish

Résumé

The expressed recombinant leptospiral surface adhesion lipoprotein (Lsa27) of pathogenic Leptospira in E. coli was evaluated for the detection of Leptospira antibodies in cattle sera by latex agglutination test (LAT). The Lsa27 lacking signal peptide coding gene sequences from L. interrogans serovar Pomona was amplified (~ 660 bp) by PCR and the amplicon was cloned into pETiteN-HisKan vector. The expressed recombinant Lsa27 histidine-tagged fusion protein (rLsa27) was Ni-NTA affinity purified under denaturation followed by renaturation methods. The purified rLsa27 was characterized by SDS-PAGE and immunoblot, which confirmed the leptospiral protein with a MW of ~ 25 kDa. Further, the prepared sensitized latex beads coated with rLsa27 were evaluated as a diagnostic antigen for detection of pathogenic Leptospira antibodies by using known microscopic agglutination test (MAT) positive (n = 74) and negative (n = 62) sera for Leptospira antibodies in LAT, which revealed the relative diagnostic sensitivity of 91.89% and specificity of 87.10% against the gold standard serological test, MAT. Furthermore, on evaluation of developed rLsa27 LAT using serum samples from cattle associated with the history of abortions and reproductive disorder (n = 309), the relative sensitivity of 96.15%, and specificity of 89.11% were observed. Therefore, this rapid field test using the rLsa27 is first of its kind and it could be used as a screening test for the detection of Leptospira antibodies or it can be complemented by other diagnostics for the diagnosis /surveillance of bovine leptospirosis.

Identifiants

pubmed: 33006126
doi: 10.1007/s12033-020-00278-4
pii: 10.1007/s12033-020-00278-4
doi:

Substances chimiques

Antibodies, Bacterial 0
Antigens, Bacterial 0
Lipoproteins 0
Recombinant Proteins 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

598-610

Subventions

Organisme : Indian Council of Medical Research
ID : F.No. Leptos/7/2013-EID-1 and ECD/ADHOC/27/2016-17

Auteurs

Anusha Alamuri (A)

Indian Council of Agricultural Research -National Institute of Veterinary Epidemiology and Disease Informatics (ICAR-NIVEDI), Yelahanka, Post Box No. 6450, Bengaluru, Karnataka, 560 064, India.
Jain University, Bengaluru, Karnataka, India.

K Vinod Kumar (KV)

Indian Council of Agricultural Research -National Institute of Veterinary Epidemiology and Disease Informatics (ICAR-NIVEDI), Yelahanka, Post Box No. 6450, Bengaluru, Karnataka, 560 064, India.

S SowjanyaKumari (S)

Indian Council of Agricultural Research -National Institute of Veterinary Epidemiology and Disease Informatics (ICAR-NIVEDI), Yelahanka, Post Box No. 6450, Bengaluru, Karnataka, 560 064, India.

L Linshamol (L)

Indian Council of Agricultural Research -National Institute of Veterinary Epidemiology and Disease Informatics (ICAR-NIVEDI), Yelahanka, Post Box No. 6450, Bengaluru, Karnataka, 560 064, India.

R Sridevi (R)

Indian Council of Agricultural Research -National Institute of Veterinary Epidemiology and Disease Informatics (ICAR-NIVEDI), Yelahanka, Post Box No. 6450, Bengaluru, Karnataka, 560 064, India.

M Nagalingam (M)

Indian Council of Agricultural Research -National Institute of Veterinary Epidemiology and Disease Informatics (ICAR-NIVEDI), Yelahanka, Post Box No. 6450, Bengaluru, Karnataka, 560 064, India.

Parimal Roy (P)

Indian Council of Agricultural Research -National Institute of Veterinary Epidemiology and Disease Informatics (ICAR-NIVEDI), Yelahanka, Post Box No. 6450, Bengaluru, Karnataka, 560 064, India.

V Balamurugan (V)

Indian Council of Agricultural Research -National Institute of Veterinary Epidemiology and Disease Informatics (ICAR-NIVEDI), Yelahanka, Post Box No. 6450, Bengaluru, Karnataka, 560 064, India. b.vinayagamurthy@icar.gov.in.

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Classifications MeSH