Evidence map›Paper›PMID 42467281›Full record

ArticleWorld journal of microbiology & biotechnology2026

Development of a novel rapid genome exponential amplification reaction (GEAR) assay for high-sensitivity detection of Campylobacter coli using simplified sample preparation for on-site detection.

A Arun Prince Milton, Zakir Hussain, Moon Moon Mech, Kandhan Srinivas, G Bhuvana Priya, Heiborkie Shilla, Samir Das, Girish Patil Shivanagowda, Sandeep Ghatak

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Article in World journal of microbiology & biotechnology, 2026. 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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5 · Who and what money

Authors and funding

9 authors.

A Arun Prince MiltonDivision of Animal and Fisheries Sciences, ICAR Research Complex for NEH Region, Umiam, Meghalaya, India. vetmilton@gmail.com.
Zakir HussainDivision of Animal and Fisheries Sciences, ICAR Research Complex for NEH Region, Umiam, Meghalaya, India.
Moon Moon MechSchool of Engineering and Technology, Nagaland University, Kohima, Nagaland, India.
Kandhan SrinivasDivision of Animal and Fisheries Sciences, ICAR Research Complex for NEH Region, Umiam, Meghalaya, India.
G Bhuvana PriyaCollege of Agriculture, Central Agricultural University (Imphal), Kyrdemkulai, Meghalaya, India.
Heiborkie ShillaDivision of Animal and Fisheries Sciences, ICAR Research Complex for NEH Region, Umiam, Meghalaya, India.
Samir DasDivision of Animal and Fisheries Sciences, ICAR Research Complex for NEH Region, Umiam, Meghalaya, India.
Girish Patil ShivanagowdaICAR-National Research Centre on Mithun, Medziphema, Nagaland, India.
Sandeep GhatakDivision of Animal and Fisheries Sciences, ICAR Research Complex for NEH Region, Umiam, Meghalaya, India.

Funding

Indian Council of Medical Research ZON/75/2022-ECD-II
6 · The paper itself

Abstract

Campylobacter coli is a major zoonotic foodborne pathogen, but its detection through conventional culture-based methods is challenged by intricate taxonomy, fastidious growth requirements, and auxotrophic characteristics. Prompt and precise detection of C. coli is therefore crucial for effective outbreak control and robust food safety monitoring and recall. This study describes the development and evaluation of a GEAR (genome exponential amplification reaction) test for the precise detection of C. coli. The assay combined three key elements: a simplified centrifugation-assisted DNA extraction protocol, thermal cycler-free amplification, and SYBR Green I dye-mediated visualization. Targeting the glyA gene of C. coli, the assay demonstrated high specificity, distinguishing C. coli from a non-coli strain and fourteen other bacterial species associated with foodborne diseases. GEAR amplification was performed at 62 °C for 60 min, achieving an analytical sensitivity of 50 fg/reaction, which was 100-fold higher than real-time PCR (5 pg/reaction) and 1,000-fold higher than end-point PCR (50 pg/reaction) using purified genomic DNA. In artificially contaminated pork samples, the assay detected as low as 250 CFU/g without prior enrichment and 25 CFU/g following a 12-hour enrichment, representing a 10-fold lower detection limit than real-time PCR in the food matrix. With rapid results, operational simplicity, low cost, high sensitivity, and minimal instrumentation requirements, the GEAR assay offers a promising tool for routine C. coli detection in resource-limited food testing laboratories. This represents the first reported application of GEAR for C. coli screening.

Indexed as

Campylobacter coliNucleic Acid Amplification TechniquesAnimalsBenzothiazolesDiaminesDNA, BacterialFoodborne DiseasesFood MicrobiologyGenome, BacterialOrganic ChemicalsQuinolinesRapid Diagnostic TestsReal-Time Polymerase Chain ReactionSensitivity and SpecificitySwineBenzothiazolesDiaminesDNA, BacterialOrganic ChemicalsQuinolinesSYBR Green ICampylobacter coliFoodborne pathogenGEAR assayglyAPoint-of-care diagnostics

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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.