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Comparative metagenomic dataset of hospital effluent microbiome from rural and urban hospitals in West Bengal

The unsafe disposal of hospital effluents contributes to gross contamination of water bodies with antibiotic residues, antibiotic resistance genes and antibiotic resistance bacteria. This study reports the microbial community profile of hospital wastes collected from various regions of West Bengal,...

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Autores principales: Singh, Meesha, Ganguli, Sayak, Ghosh, Mahashweta Mitra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6699459/
https://www.ncbi.nlm.nih.gov/pubmed/31440549
http://dx.doi.org/10.1016/j.dib.2019.104264
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author Singh, Meesha
Ganguli, Sayak
Ghosh, Mahashweta Mitra
author_facet Singh, Meesha
Ganguli, Sayak
Ghosh, Mahashweta Mitra
author_sort Singh, Meesha
collection PubMed
description The unsafe disposal of hospital effluents contributes to gross contamination of water bodies with antibiotic residues, antibiotic resistance genes and antibiotic resistance bacteria. This study reports the microbial community profile of hospital wastes collected from various regions of West Bengal, India, using 16S rRNA gene amplicon sequencing. The data set Liquid Sludge (LS) contains 15,372,973 reads with an average length of 301 bps with average 52 ± 5% GC content. The data set Solid Sludge (SS) contains 16,071,594 reads with an average length of 301 bps with average 53 ± 4% GC content. Data of this study are available at NCBI BioProject (PRJNA360379). In sample LS, an abundance of 19.3% for the members of Bacteroidetes was observed. In sample SS, an abundance of 19.7% for the members of Euryarchaeota was observed.
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spelling pubmed-66994592019-08-22 Comparative metagenomic dataset of hospital effluent microbiome from rural and urban hospitals in West Bengal Singh, Meesha Ganguli, Sayak Ghosh, Mahashweta Mitra Data Brief Genetics, Genomics and Molecular Biology The unsafe disposal of hospital effluents contributes to gross contamination of water bodies with antibiotic residues, antibiotic resistance genes and antibiotic resistance bacteria. This study reports the microbial community profile of hospital wastes collected from various regions of West Bengal, India, using 16S rRNA gene amplicon sequencing. The data set Liquid Sludge (LS) contains 15,372,973 reads with an average length of 301 bps with average 52 ± 5% GC content. The data set Solid Sludge (SS) contains 16,071,594 reads with an average length of 301 bps with average 53 ± 4% GC content. Data of this study are available at NCBI BioProject (PRJNA360379). In sample LS, an abundance of 19.3% for the members of Bacteroidetes was observed. In sample SS, an abundance of 19.7% for the members of Euryarchaeota was observed. Elsevier 2019-07-17 /pmc/articles/PMC6699459/ /pubmed/31440549 http://dx.doi.org/10.1016/j.dib.2019.104264 Text en © 2019 Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Genetics, Genomics and Molecular Biology
Singh, Meesha
Ganguli, Sayak
Ghosh, Mahashweta Mitra
Comparative metagenomic dataset of hospital effluent microbiome from rural and urban hospitals in West Bengal
title Comparative metagenomic dataset of hospital effluent microbiome from rural and urban hospitals in West Bengal
title_full Comparative metagenomic dataset of hospital effluent microbiome from rural and urban hospitals in West Bengal
title_fullStr Comparative metagenomic dataset of hospital effluent microbiome from rural and urban hospitals in West Bengal
title_full_unstemmed Comparative metagenomic dataset of hospital effluent microbiome from rural and urban hospitals in West Bengal
title_short Comparative metagenomic dataset of hospital effluent microbiome from rural and urban hospitals in West Bengal
title_sort comparative metagenomic dataset of hospital effluent microbiome from rural and urban hospitals in west bengal
topic Genetics, Genomics and Molecular Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6699459/
https://www.ncbi.nlm.nih.gov/pubmed/31440549
http://dx.doi.org/10.1016/j.dib.2019.104264
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