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16S rDNA based skin microbiome data of healthy individuals and leprosy patients from India
Leprosy is an infectious disease that has predilection in skin and peripheral nerves. Skin has its own microbiome, however it is not extensively studied in Indian leprosy patients. Here, by using next-generation 16S rDNA sequencing, we have attempted to assess the skin associated microbial diversity...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6805899/ https://www.ncbi.nlm.nih.gov/pubmed/31641132 http://dx.doi.org/10.1038/s41597-019-0232-1 |
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author | Bayal, Nitin Nagpal, Sunil Haque, Mohammed Monzoorul Patole, Milind S. Valluri, Vijayalakshmi Suryavanshi, Rohini Mande, Sharmila S. Mande, Shekhar C. |
author_facet | Bayal, Nitin Nagpal, Sunil Haque, Mohammed Monzoorul Patole, Milind S. Valluri, Vijayalakshmi Suryavanshi, Rohini Mande, Sharmila S. Mande, Shekhar C. |
author_sort | Bayal, Nitin |
collection | PubMed |
description | Leprosy is an infectious disease that has predilection in skin and peripheral nerves. Skin has its own microbiome, however it is not extensively studied in Indian leprosy patients. Here, by using next-generation 16S rDNA sequencing, we have attempted to assess the skin associated microbial diversity pertaining to affected and unaffected skin of Indian leprosy patients. A total of 90 skin swab samples were collected from 60 individuals (30 healthy controls, 30 patients) residing in Hyderabad and Miraj, two distinct geographical locations in India to assess the homo/heterogeneity of skin microbial signatures. While a large increase in genus Methylobacterium and Pseudomonas was seen in patients from Miraj and Hyderabad respectively, a considerable decrease in genus Staphylococcus in the leprosy patients (as compared to controls) from both geographical locations was also observed. We expect that, these datasets can not-only provide further interesting insights, but will also help to observe dynamics of microbiome in the diseased state and generate hypotheses to test for skin microbiome transplantation studies in leprosy. |
format | Online Article Text |
id | pubmed-6805899 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68058992019-10-30 16S rDNA based skin microbiome data of healthy individuals and leprosy patients from India Bayal, Nitin Nagpal, Sunil Haque, Mohammed Monzoorul Patole, Milind S. Valluri, Vijayalakshmi Suryavanshi, Rohini Mande, Sharmila S. Mande, Shekhar C. Sci Data Data Descriptor Leprosy is an infectious disease that has predilection in skin and peripheral nerves. Skin has its own microbiome, however it is not extensively studied in Indian leprosy patients. Here, by using next-generation 16S rDNA sequencing, we have attempted to assess the skin associated microbial diversity pertaining to affected and unaffected skin of Indian leprosy patients. A total of 90 skin swab samples were collected from 60 individuals (30 healthy controls, 30 patients) residing in Hyderabad and Miraj, two distinct geographical locations in India to assess the homo/heterogeneity of skin microbial signatures. While a large increase in genus Methylobacterium and Pseudomonas was seen in patients from Miraj and Hyderabad respectively, a considerable decrease in genus Staphylococcus in the leprosy patients (as compared to controls) from both geographical locations was also observed. We expect that, these datasets can not-only provide further interesting insights, but will also help to observe dynamics of microbiome in the diseased state and generate hypotheses to test for skin microbiome transplantation studies in leprosy. Nature Publishing Group UK 2019-10-22 /pmc/articles/PMC6805899/ /pubmed/31641132 http://dx.doi.org/10.1038/s41597-019-0232-1 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Bayal, Nitin Nagpal, Sunil Haque, Mohammed Monzoorul Patole, Milind S. Valluri, Vijayalakshmi Suryavanshi, Rohini Mande, Sharmila S. Mande, Shekhar C. 16S rDNA based skin microbiome data of healthy individuals and leprosy patients from India |
title | 16S rDNA based skin microbiome data of healthy individuals and leprosy patients from India |
title_full | 16S rDNA based skin microbiome data of healthy individuals and leprosy patients from India |
title_fullStr | 16S rDNA based skin microbiome data of healthy individuals and leprosy patients from India |
title_full_unstemmed | 16S rDNA based skin microbiome data of healthy individuals and leprosy patients from India |
title_short | 16S rDNA based skin microbiome data of healthy individuals and leprosy patients from India |
title_sort | 16s rdna based skin microbiome data of healthy individuals and leprosy patients from india |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6805899/ https://www.ncbi.nlm.nih.gov/pubmed/31641132 http://dx.doi.org/10.1038/s41597-019-0232-1 |
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