000126784 001__ 126784
000126784 005__ 20231116120811.0
000126784 0247_ $$2doi$$a10.3390/microorganisms11061467
000126784 0248_ $$2sideral$$a134247
000126784 037__ $$aART-2023-134247
000126784 041__ $$aeng
000126784 100__ $$aComín, Jéssica
000126784 245__ $$aRapid identification of lineage and drug resistance in clinical samples of Mycobacterium Tuberculosis
000126784 260__ $$c2023
000126784 5060_ $$aAccess copy available to the general public$$fUnrestricted
000126784 5203_ $$aBackground: Mycobacterium tuberculosis is a slow-growing bacterium, which could delay its diagnosis and, therefore, promote the spread of the disease. Whole-genome sequencing allows us to obtain the complete drug-resistance profile of the strain; however, bacterial cultivation of clinical samples, along with complex processing, is required. Methods: In this work, we explore AmpliSeq, an amplicon-based enrichment method for preparing libraries for targeted next-generation sequencing, to identify lineage and drug resistance directly from clinical samples. Results: In our study, 111 clinical samples were tested. The lineage was identified in 100% of the culture-derived samples (52/52), in 95% of the smear (BK)-positive clinical samples (38/40) and in 42.1% of the BK-negative clinical samples (8/19). The drug-resistance profile was accurately identified in all but 11 samples, in which some phenotypic and genotypic discrepancies were found. In this respect, our panels were not exact in the detection of streptomycin resistance for isolates derived from clinical samples, as an extremely high number of SNPs in the rrs and rrl genes were detected due to cross-contamination. Conclusion: This technique has demonstrated high sensitivity in obtaining the drug-resistance profile of the isolates, as even those samples with DNA concentrations below the detection limit of Qubit produced a result. AmpliSeq technology is cheaper than whole-genome sequencing, easy to perform by laboratory technicians and applicable to any microorganism using the Ion Torrent platform.
000126784 536__ $$9info:eu-repo/grantAgreement/ES/ISCIII/FIS18-0336$$9info:eu-repo/grantAgreement/ES/MICINN/PTQ2018-009754
000126784 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000126784 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000126784 700__ $$aViñuelas, Jesús
000126784 700__ $$aLafoz, Carmen$$uUniversidad de Zaragoza
000126784 700__ $$aCebollada, Alberto
000126784 700__ $$aIbarz, Daniel$$uUniversidad de Zaragoza
000126784 700__ $$0(orcid)0000-0003-2266-8602$$aIglesias, María-José$$uUniversidad de Zaragoza
000126784 700__ $$0(orcid)0000-0002-3011-2519$$aSamper, Sofía$$uUniversidad de Zaragoza
000126784 7102_ $$11011$$2630$$aUniversidad de Zaragoza$$bDpto. Microb.Ped.Radio.Sal.Pú.$$cÁrea Microbiología
000126784 7102_ $$10$$2X$$aUniversidad de Zaragoza$$bServ.Gral. Apoyo Investigación$$cServicios. División Biomédica
000126784 7102_ $$11011$$2615$$aUniversidad de Zaragoza$$bDpto. Microb.Ped.Radio.Sal.Pú.$$cÁrea Medic.Prevent.Salud Públ.
000126784 773__ $$g11, 6 (2023), 1467 [9 pp.]$$pMicroorganisms$$tMicroorganisms$$x2076-2607
000126784 8564_ $$s930551$$uhttps://zaguan.unizar.es/record/126784/files/texto_completo.pdf$$yVersión publicada
000126784 8564_ $$s2717317$$uhttps://zaguan.unizar.es/record/126784/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000126784 909CO $$ooai:zaguan.unizar.es:126784$$particulos$$pdriver
000126784 951__ $$a2023-11-16-12:01:44
000126784 980__ $$aARTICLE