Author

M. C. Sevillano

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 3

Signature Assays, Organisms & Methods

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Assay:metagenomics· 3 Approach:experimental assay· 2 Research Focus:cell type annotation· 1 Research Focus:ecology & biodiversity· 1 Research Focus:host-pathogen & immune response· 1 Approach:statistical model· 1

Frequent Co-Authors

Z. Dai· 3 shared A. J. Pinto· 2 shared A. M. Eren· 2 shared P. W. J. J. van der Wielen· 2 shared S. T. Calus· 2 shared U. Z. Ijaz· 2 shared A. Alshawabkeh· 1 shared A. Pinto· 1 shared

Activity by Year

2019-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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3 shared papersMicrobiology

Z. Dai

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Author profile →

3 papers

Recent·Most cited

MicrobiologybioRxivMay 7, 2021

Spatial-temporal targeted and non-targeted surveys to assess microbiological composition of drinking water in Puerto Rico following Hurricane Maria.

M. C. Sevillano, S. Vosloo, I. Cotto…·A. J. Pinto

This study assessed drinking water microbiome changes in Puerto Rico after Hurricane Maria using targeted and non-targeted microbial analysis, finding no significant deterioration in biological quality.

DOI 10.1016/j.wroa.2021.100123

metagenomicsexperimental assay

𝕏 PostBluesky

MicrobiologybioRxivNov 2, 2019

Disinfection exhibits systematic impacts on the drinking water microbiome.

Z. Dai, M. C. Sevillano, S. T. Calus…·A. J. Pinto

This study compares the impact of disinfection and nutrient limitation on drinking water microbiomes, finding that disinfection reduces diversity and selects for microorganisms using decay products.

DOI 10.1186/s40168-020-00813-0

metagenomicsstatistical model

𝕏 PostBluesky

MicrobiologybioRxivPreprintJun 20, 2019

Disinfectant residuals in drinking water systems select for mycobacterial populations with intrinsic antimicrobial resistance.

M. C. Sevillano, Z. Dai, S. T. Calus…·A. Pinto

This study shows that disinfectant residuals in drinking water systems are linked to higher prevalence of antimicrobial resistance genes in nontuberculous mycobacteria.

DOI 10.1101/675561

metagenomicsexperimental assay

𝕏 PostBluesky