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Metagenome datasets from women with polycystic ovary syndrome from Irkutsk, Eastern Siberia, Russia
For the metagenomic characterization of potential taxonomic and functional diversity of microorganisms associated with polycystic ovary syndrome (PCOS) in women, we surveyed five women with PCOS and collected samples of feces, saliva, and serum. After quality processing, we have obtained from 915,59...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7479322/ https://www.ncbi.nlm.nih.gov/pubmed/32939371 http://dx.doi.org/10.1016/j.dib.2020.106137 |
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author | Belkova, Natalia Klimenko, Elizaveta Vilson, Naliia Sambialova, Alexsandra Markova, Daria Igumnov, Ilia Suturina, Larisa |
author_facet | Belkova, Natalia Klimenko, Elizaveta Vilson, Naliia Sambialova, Alexsandra Markova, Daria Igumnov, Ilia Suturina, Larisa |
author_sort | Belkova, Natalia |
collection | PubMed |
description | For the metagenomic characterization of potential taxonomic and functional diversity of microorganisms associated with polycystic ovary syndrome (PCOS) in women, we surveyed five women with PCOS and collected samples of feces, saliva, and serum. After quality processing, we have obtained from 915,594 to 3,880,379 reads; these 16,693 sequences had ribosomal RNA genes, 2,091,990 sequences contained predicted proteins with known functions, and 3,750,261 sequences had predicted proteins with unknown functions. Host DNA accounted for ca. 0.03% and less in datasets of fecal samples, from 1.41 to 24.94% in saliva samples; the remaining sequences were attributed to archaeal, bacterial, or viral DNA. In serum, from 38.18 to 75.77% were characterized as fragments of the human genome, but the remaining sequences were unidentified. Among microbes, a total of one archaeal and eight bacterial phyla were revealed. Viral DNA was detected in several fecal and one saliva sample and was classified as C2likevirus, Flavivirus, and Streptococcus bacteriophage. The metagenome sequence data were deposited at NCBI SRA as BioProject No. PRJNA625611. |
format | Online Article Text |
id | pubmed-7479322 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-74793222020-09-15 Metagenome datasets from women with polycystic ovary syndrome from Irkutsk, Eastern Siberia, Russia Belkova, Natalia Klimenko, Elizaveta Vilson, Naliia Sambialova, Alexsandra Markova, Daria Igumnov, Ilia Suturina, Larisa Data Brief Data Article For the metagenomic characterization of potential taxonomic and functional diversity of microorganisms associated with polycystic ovary syndrome (PCOS) in women, we surveyed five women with PCOS and collected samples of feces, saliva, and serum. After quality processing, we have obtained from 915,594 to 3,880,379 reads; these 16,693 sequences had ribosomal RNA genes, 2,091,990 sequences contained predicted proteins with known functions, and 3,750,261 sequences had predicted proteins with unknown functions. Host DNA accounted for ca. 0.03% and less in datasets of fecal samples, from 1.41 to 24.94% in saliva samples; the remaining sequences were attributed to archaeal, bacterial, or viral DNA. In serum, from 38.18 to 75.77% were characterized as fragments of the human genome, but the remaining sequences were unidentified. Among microbes, a total of one archaeal and eight bacterial phyla were revealed. Viral DNA was detected in several fecal and one saliva sample and was classified as C2likevirus, Flavivirus, and Streptococcus bacteriophage. The metagenome sequence data were deposited at NCBI SRA as BioProject No. PRJNA625611. Elsevier 2020-08-06 /pmc/articles/PMC7479322/ /pubmed/32939371 http://dx.doi.org/10.1016/j.dib.2020.106137 Text en © 2020 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 | Data Article Belkova, Natalia Klimenko, Elizaveta Vilson, Naliia Sambialova, Alexsandra Markova, Daria Igumnov, Ilia Suturina, Larisa Metagenome datasets from women with polycystic ovary syndrome from Irkutsk, Eastern Siberia, Russia |
title | Metagenome datasets from women with polycystic ovary syndrome from Irkutsk, Eastern Siberia, Russia |
title_full | Metagenome datasets from women with polycystic ovary syndrome from Irkutsk, Eastern Siberia, Russia |
title_fullStr | Metagenome datasets from women with polycystic ovary syndrome from Irkutsk, Eastern Siberia, Russia |
title_full_unstemmed | Metagenome datasets from women with polycystic ovary syndrome from Irkutsk, Eastern Siberia, Russia |
title_short | Metagenome datasets from women with polycystic ovary syndrome from Irkutsk, Eastern Siberia, Russia |
title_sort | metagenome datasets from women with polycystic ovary syndrome from irkutsk, eastern siberia, russia |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7479322/ https://www.ncbi.nlm.nih.gov/pubmed/32939371 http://dx.doi.org/10.1016/j.dib.2020.106137 |
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