Evidence map›Paper›PMID 40951284›Full record

ArticleResearch square2025

Development of a multiplex PCR for detection of pathogenic Mycobacterium orygis in cattle tissues harboring tuberculous-like lesions.

Sukhen Samanta, Premanshu Dandapat, Molla Zakirul Haque, Partha Sarathi Jana, Samiran Bandyopadhyay, Arnab Sen, Pramod Kumar Nanda, Subhasree Das, Keka Sarkar, Prasad Thomas and 3 more

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In one paragraph

Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Sukhen SamantaUniversity of Kalyani.
Premanshu DandapatICAR-Indian Veterinary Research Institute.
Molla Zakirul HaqueWest Bengal University of Animal and Fishery Sciences.
Partha Sarathi JanaWest Bengal University of Animal and Fishery Sciences.
Samiran BandyopadhyayICAR-Indian Veterinary Research Institute, Eastern Regional Station.
Arnab SenICAR-Indian Veterinary Research Institute.
Pramod Kumar NandaICAR-Indian Veterinary Research Institute, Eastern Regional Station.
Subhasree DasICAR-Indian Veterinary Research Institute, Eastern Regional Station.
Keka SarkarUniversity of Kalyani.
Prasad ThomasICAR-Indian Veterinary Research Institute.
Abhishek VICAR-Indian Veterinary Research Institute.
Ayan MukherjeeWest Bengal University of Animal and Fishery Sciences.
Sachinandan DeICAR-National Dairy Research Institute.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mycobacterium orygis, a recently defined member species of Mycobacterium tubercuolsis complex (MTBC), is emerging as a major threat to zoonotic tuberculosis control, especially in the Asian Subcontinent. The dearth of low-cost diagnostic assay to differentiate M. orygis from other members of the MTBC leads to unavailability of information about the actual burden of this species in human and animal population. In this study, we developed a multiplex PCR for distinguishing M. orygis from other MTBC based on two M. orygis-specific nonsynonymous point mutations in mbtG and fadD23 genes identified by comparative genome analysis. The specificity of the assay shows that a 434 bp IS1081 fragment was amplified from common MTBC species including M. orygis while 240 bp and 181 bp mbtG and fadD23 gene fragments were amplified only from M. orygis. No amplification was observed for nontuberculous Mycobacterium (NTM) and non-Mycobacterial pathogens. The multiplex PCR assay showed a detection limit of 32 pg of M. orygis DNA. Furthermore, a total of 85 tuberculous-like lesions in the different tissues of slaughtered cattle were tested for identification of the M. orygis, and the results showed IS1081, mbtG and fadD23 amplicons in three tissue DNA extracts confirming they contain M. orygis DNA. Also, a single IS1081 amplicon was amplified from one tissue sample signifying presence of DNA of any MTBC species other than M. orygis. An established TaqMan real time PCR assay targeting region of differences (RD) in M. orygis genome was carried out to validate the result of the assay. This showed 100 % accuracy of the in-house developed multiplex PCR.

Indexed as

fadD23mbtGmultiplex PCRMycobacterium orygisSNPs

Identifiers

PMID40951284
PMCPMC12425058

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.