End-point RT-PCR based on a conservation landscape for SARS-COV-2 detection


Por: Cruz-Rangel, Armando, Gomez-Romero, Laura, Cisneros-Villanueva, Mireya, de Anda Jauregui, G., Luna-Pineda, Victor, Cedro-Tanda, Alberto, Campos-Romero, Abraham, Mendoza-Vargas, Alfredo, Reyes-Grajeda, J. P., Hidalgo-Miranda, Alfredo, Herrera, Luis A., Vadillo-Ortega, Felipe

Publicada: 19 mar 2022
Categoría: Multidisciplinary

Resumen:
End-point RT-PCR is a suitable alternative diagnostic technique since it is cheaper than RT-qPCR tests and can be implemented on a massive scale in low- and middle-income countries. In this work, a bioinformatic approach to guide the design of PCR primers was developed, and an alternative diagnostic test based on end-point PCR was designed. End-point PCR primers were designed through conservation analysis based on kmer frequency in SARS-CoV-2 and human respiratory pathogen genomes. Highly conserved regions were identified for primer design, and the resulting PCR primers were used to amplify 871 nasopharyngeal human samples with a previous RT-qPCR based SARS-CoV-2 diagnosis. The diagnostic test showed high accuracy in identifying SARS-CoV-2-positive samples including B.1.1.7, P.1, B.1.427/B.1.429 and B.1.617.2/ AY samples with a detection limit of 7.2 viral copies/mu L. In addition, this test could discern SARS-CoV-2 infection from other viral infections with COVID-19-like symptomatology. The designed end-point PCR diagnostic test to detect SARS-CoV-2 is a suitable alternative to RT-qPCR. Since the proposed bioinformatic approach can be easily applied in thousands of viral genomes and over highly divergent strains, it can be used as a PCR design tool as new SARS-CoV-2 variants emerge. Therefore, this end-point PCR test could be employed in epidemiological surveillance to detect new SARS-CoV-2 variants as they emerge and propagate.

Filiaciones:
Cruz-Rangel, Armando:
 Biochemistry of Chronic Diseases Laboratory, National Institute of Genomic MedicineMexico City, Mexico

Gomez-Romero, Laura:
 Computational Genomics Department, National Institute of Genomic MedicineMexico City, Mexico

Cisneros-Villanueva, Mireya:
 Cancer Genomics Laboratory, National Institute of Genomic MedicineMexico City, Mexico

de Anda Jauregui, G.:
 Computational Genomics Department, National Institute of Genomic MedicineMexico City, Mexico

 Cátedras CONACYT Program for Young Researchers, National Council for Science and Technology, CONACYTMéxico City, Mexico

 Center for Complexity Sciences (C3), National Autonomous University of MexicoMexico City, Mexico

Luna-Pineda, Victor:
 Research Unit in Immunology and Proteomics, COVID-19 Research Laboratory, Children's Hospital of Mexico "Federico Gómez"Mexico City, Mexico

Cedro-Tanda, Alberto:
 National Institute of Genomic Medicine, Periférico Sur 4809, Tlalpan, Mexico City 14610, Mexico

Campos-Romero, Abraham:
 Innovation and Research Department, Culiacan, Sinaloa, Mexico

Mendoza-Vargas, Alfredo:
 Sequencing Unit, National Institute of Genomic MedicineMexico City, Mexico

Reyes-Grajeda, J. P.:
 Biochemistry of Chronic Diseases Laboratory, National Institute of Genomic MedicineMexico City, Mexico

Hidalgo-Miranda, Alfredo:
 Cancer Genomics Laboratory, National Institute of Genomic MedicineMexico City, Mexico

Herrera, Luis A.:
 National Institute of Genomic Medicine, Periférico Sur 4809, Tlalpan, Mexico City 14610, Mexico

 Biomedical Research Unit in Cancer, National Institute of CancerologyMexico City, Mexico

 Institute of Biomedical Research, National Autonomous University of MexicoMexico City, Mexico

Vadillo-Ortega, Felipe:
 Unidad de Vinculación de la Facultad de Medicina, Periférico Sur 4809, Tlalpan, Mexico City 14610, Mexico
ISSN: 20452322





SCIENTIFIC REPORTS
Editorial
NATURE PUBLISHING GROUP, MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND, Reino Unido
Tipo de documento: Article
Volumen: 12 Número: 1
Páginas: 4759
WOS Id: 000780307600025
ID de PubMed: 35306521
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