Andrea Marcos-Abellán
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Andrea Marcos-Abellán has a total of 12 co-authors. Here are the top co-authors by number of shared publications:
- Alfonso Pardo-Diaz
Department of Technology, Extremadura Center for Advanced Technologies (CETA-CIEMAT), Trujillo, Spain
1 shared publication - Darío García de Viedma
Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón
1 shared publication - Guadalupe Bernal Ramírez
Department of Clinical Microbiology and Infectious Diseases, Gregorio Marañón General University Hospital, Gregorio Marañón Health Research Institute (IiSGM), Madrid, Spain
1 shared publication - Laura Pérez-Lago
Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain
1 shared publication - Marta Herranz
Department of Clinical Microbiology and Infectious Diseases, Gregorio Marañón General University Hospital, Gregorio Marañón Health Research Institute (IiSGM), Madrid, Spain
1 shared publication - María Jesús Ruiz Serrano
Department of Clinical Microbiology and Infectious Diseases, Gregorio Marañón General University Hospital, Gregorio Marañón Health Research Institute (IiSGM), Madrid, Spain
1 shared publication
Latest Publications
- Open Access
- 22 May 2026
- Published by Microbiology Society in Microbial Genomics
- Vol. 12 (5) , 001709
Direct nanopore sequencing of Mycobacterium tuberculosis on sputa and rescue of suboptimal results to enhance transmission surveillance
Whole-genome sequencing (WGS) has enhanced precision to predict antimicrobial resistance and track transmission in Mycobacterium tuberculosis (MTB). Due to the slow-growing nature of MTB, genomic results are unavoidably delayed; however, few efforts have been made to accelerate them by performing WGS directly on respiratory specimens. Most culture-free efforts in the literature have focused on the acceleration of resistance prediction. The present study provides further evidence to the only preceding study aiming to accelerate the precise delineation of transmission, coupling culture-free WGS to a surveillance programme. Our study is distinguished from its predecessor by being the first to apply flexible nanopore sequencing for the purpose of further accelerating the process. A total of 71 sputa were selected for the study, in which we only applied a procedure to deplete human DNA, thus avoiding other costly and cumbersome alternatives based on capture baits. Optimal results (>90% of genome covered, mean coverage >45× and >70% genome covered >20×) were obtained from 33.8% of the cases, which allowed the corresponding cases to be ruled in or out of transmission clusters, close to their diagnosis. A further 12.6% of the samples yielded suboptimal results (15.5%–90.92% at >10×), which could also be exploited thanks to our rescue pipeline; the rationale was to attempt to identify, from the suboptimal sequences, the informative SNPs that are markers for relevant transmission clusters in our population. The rescue pipeline facilitated pre-allocation of new cases to pre-existing clusters and moreover enabled the specification of genomic relationships between new cases and preceding ones in the cluster. In summary, the present study has demonstrated that epidemiologically valuable information can be obtained directly from sputum in approximately half of the samples analysed. This study represents a new advancement in the pursuit of enhancing faster comparative genomics, at diagnosis, for epidemiological applications.
- 22 May 2026
- Published by Microbiology Society in Microbial Genomics
- Vol. 12 (5) , 001709
Open AccessDirect nanopore sequencing of Mycobacterium tuberculosis on sputa and rescue of suboptimal results to enhance transmission surveillance
Whole-genome sequencing (WGS) has enhanced precision to predict antimicrobial resistance and track transmission in Mycobacterium tuberculosis (MTB). Due to the slow-growing nature of MTB, genomic results are unavoidably delayed; however, few efforts have been made to accelerate them by performing WGS directly on respiratory specimens. Most culture-free efforts in the literature have focused on the acceleration of resistance prediction. The present study provides further evidence to the only preceding study aiming to accelerate the precise delineation of transmission, coupling culture-free WGS to a surveillance programme. Our study is distinguished from its predecessor by being the first to apply flexible nanopore sequencing for the purpose of further accelerating the process. A total of 71 sputa were selected for the study, in which we only applied a procedure to deplete human DNA, thus avoiding other costly and cumbersome alternatives based on capture baits. Optimal results (>90% of genome covered, mean coverage >45× and >70% genome covered >20×) were obtained from 33.8% of the cases, which allowed the corresponding cases to be ruled in or out of transmission clusters, close to their diagnosis. A further 12.6% of the samples yielded suboptimal results (15.5%–90.92% at >10×), which could also be exploited thanks to our rescue pipeline; the rationale was to attempt to identify, from the suboptimal sequences, the informative SNPs that are markers for relevant transmission clusters in our population. The rescue pipeline facilitated pre-allocation of new cases to pre-existing clusters and moreover enabled the specification of genomic relationships between new cases and preceding ones in the cluster. In summary, the present study has demonstrated that epidemiologically valuable information can be obtained directly from sputum in approximately half of the samples analysed. This study represents a new advancement in the pursuit of enhancing faster comparative genomics, at diagnosis, for epidemiological applications.