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2bRAD-M reveals the difference in microbial distribution between cancerous and benign ovarian tissues

The development of ovarian cancer is closely related to various factors, such as environmental, genetic and microbiological factors. In previous research, bacteria were identified in human tumors by 16S rRNA sequencing. However, the microbial biomass in tumor tissue is too low and cannot be accurate...

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Detalles Bibliográficos
Autores principales: Wang, Xiaogang, Zheng, Yaojun, Chen, Xiang, Peng, Chen, Zhou, Shizhen, Shen, Sunan, Zhao, Shuli, Wang, Tingting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484612/
https://www.ncbi.nlm.nih.gov/pubmed/37692387
http://dx.doi.org/10.3389/fmicb.2023.1231354
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author Wang, Xiaogang
Zheng, Yaojun
Chen, Xiang
Peng, Chen
Zhou, Shizhen
Shen, Sunan
Zhao, Shuli
Wang, Tingting
author_facet Wang, Xiaogang
Zheng, Yaojun
Chen, Xiang
Peng, Chen
Zhou, Shizhen
Shen, Sunan
Zhao, Shuli
Wang, Tingting
author_sort Wang, Xiaogang
collection PubMed
description The development of ovarian cancer is closely related to various factors, such as environmental, genetic and microbiological factors. In previous research, bacteria were identified in human tumors by 16S rRNA sequencing. However, the microbial biomass in tumor tissue is too low and cannot be accurately identified by 16S rRNA sequencing. In our study, we employ 2bRAD sequencing for Microbiome (2bRAD-M), a new sequencing technology capable of accurately characterizing the low biomass microbiome (bacteria, fungi and archaea) at species resolution. Here we surveyed 20 ovarian samples, including 10 ovarian cancer samples and 10 benign ovarian samples. The sequencing results showed that a total of 373 microbial species were identified in both two groups, of which 90 species shared in the two groups. The Meta statistic indicated that Chlamydophila_abortus and CAG-873_sp900550395 were increased in the ovarian cancer tissues, while Lawsonella_clevelandensis_A, Ralstonia_sp001078575, Brevundimonas_aurantiaca, Ralstonia_sp900115545, Ralstonia_pickettii, Corynebacterium_kefirresidentii, Corynebacterium_sp000478175, Brevibacillus_D_fluminis, Ralstonia_sp000620465, and Ralstonia_mannitolilytica were more abundant in the benign ovarian tissues. This is the first use of 2bRAD-M technique to provide an important hint for better understanding of the ovarian cancer microbiome.
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spelling pubmed-104846122023-09-08 2bRAD-M reveals the difference in microbial distribution between cancerous and benign ovarian tissues Wang, Xiaogang Zheng, Yaojun Chen, Xiang Peng, Chen Zhou, Shizhen Shen, Sunan Zhao, Shuli Wang, Tingting Front Microbiol Microbiology The development of ovarian cancer is closely related to various factors, such as environmental, genetic and microbiological factors. In previous research, bacteria were identified in human tumors by 16S rRNA sequencing. However, the microbial biomass in tumor tissue is too low and cannot be accurately identified by 16S rRNA sequencing. In our study, we employ 2bRAD sequencing for Microbiome (2bRAD-M), a new sequencing technology capable of accurately characterizing the low biomass microbiome (bacteria, fungi and archaea) at species resolution. Here we surveyed 20 ovarian samples, including 10 ovarian cancer samples and 10 benign ovarian samples. The sequencing results showed that a total of 373 microbial species were identified in both two groups, of which 90 species shared in the two groups. The Meta statistic indicated that Chlamydophila_abortus and CAG-873_sp900550395 were increased in the ovarian cancer tissues, while Lawsonella_clevelandensis_A, Ralstonia_sp001078575, Brevundimonas_aurantiaca, Ralstonia_sp900115545, Ralstonia_pickettii, Corynebacterium_kefirresidentii, Corynebacterium_sp000478175, Brevibacillus_D_fluminis, Ralstonia_sp000620465, and Ralstonia_mannitolilytica were more abundant in the benign ovarian tissues. This is the first use of 2bRAD-M technique to provide an important hint for better understanding of the ovarian cancer microbiome. Frontiers Media S.A. 2023-08-24 /pmc/articles/PMC10484612/ /pubmed/37692387 http://dx.doi.org/10.3389/fmicb.2023.1231354 Text en Copyright © 2023 Wang, Zheng, Chen, Peng, Zhou, Shen, Zhao and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Wang, Xiaogang
Zheng, Yaojun
Chen, Xiang
Peng, Chen
Zhou, Shizhen
Shen, Sunan
Zhao, Shuli
Wang, Tingting
2bRAD-M reveals the difference in microbial distribution between cancerous and benign ovarian tissues
title 2bRAD-M reveals the difference in microbial distribution between cancerous and benign ovarian tissues
title_full 2bRAD-M reveals the difference in microbial distribution between cancerous and benign ovarian tissues
title_fullStr 2bRAD-M reveals the difference in microbial distribution between cancerous and benign ovarian tissues
title_full_unstemmed 2bRAD-M reveals the difference in microbial distribution between cancerous and benign ovarian tissues
title_short 2bRAD-M reveals the difference in microbial distribution between cancerous and benign ovarian tissues
title_sort 2brad-m reveals the difference in microbial distribution between cancerous and benign ovarian tissues
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484612/
https://www.ncbi.nlm.nih.gov/pubmed/37692387
http://dx.doi.org/10.3389/fmicb.2023.1231354
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