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...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-08-01
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| Series: | Frontiers in Microbiology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmicb.2023.1231354/full |
| _version_ | 1797737331784941568 |
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| author | Xiaogang Wang Xiaogang Wang Yaojun Zheng Yaojun Zheng Xiang Chen Xiang Chen Chen Peng Chen Peng Shizhen Zhou Shizhen Zhou Sunan Shen Sunan Shen Shuli Zhao Tingting Wang Tingting Wang |
| author_facet | Xiaogang Wang Xiaogang Wang Yaojun Zheng Yaojun Zheng Xiang Chen Xiang Chen Chen Peng Chen Peng Shizhen Zhou Shizhen Zhou Sunan Shen Sunan Shen Shuli Zhao Tingting Wang Tingting Wang |
| author_sort | Xiaogang Wang |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-12T13:28:06Z |
| format | Article |
| id | doaj.art-1768cae0c2634bafb0e744db74716616 |
| institution | Directory Open Access Journal |
| issn | 1664-302X |
| language | English |
| last_indexed | 2024-03-12T13:28:06Z |
| publishDate | 2023-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Microbiology |
| spelling | doaj.art-1768cae0c2634bafb0e744db747166162023-08-25T03:47:37ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2023-08-011410.3389/fmicb.2023.123135412313542bRAD-M reveals the difference in microbial distribution between cancerous and benign ovarian tissuesXiaogang Wang0Xiaogang Wang1Yaojun Zheng2Yaojun Zheng3Xiang Chen4Xiang Chen5Chen Peng6Chen Peng7Shizhen Zhou8Shizhen Zhou9Sunan Shen10Sunan Shen11Shuli Zhao12Tingting Wang13Tingting Wang14The State Key Laboratory of Pharmaceutical Biotechnology, Division of Immunology, Medical School, Nanjing University, Nanjing, ChinaJiangsu Key Laboratory of Molecular Medicine, Division of Immunology, Medical School, Nanjing University, Nanjing, ChinaThe State Key Laboratory of Pharmaceutical Biotechnology, Division of Immunology, Medical School, Nanjing University, Nanjing, ChinaJiangsu Key Laboratory of Molecular Medicine, Division of Immunology, Medical School, Nanjing University, Nanjing, ChinaThe State Key Laboratory of Pharmaceutical Biotechnology, Division of Immunology, Medical School, Nanjing University, Nanjing, ChinaJiangsu Key Laboratory of Molecular Medicine, Division of Immunology, Medical School, Nanjing University, Nanjing, ChinaThe State Key Laboratory of Pharmaceutical Biotechnology, Division of Immunology, Medical School, Nanjing University, Nanjing, ChinaJiangsu Key Laboratory of Molecular Medicine, Division of Immunology, Medical School, Nanjing University, Nanjing, ChinaThe State Key Laboratory of Pharmaceutical Biotechnology, Division of Immunology, Medical School, Nanjing University, Nanjing, ChinaJiangsu Key Laboratory of Molecular Medicine, Division of Immunology, Medical School, Nanjing University, Nanjing, ChinaThe State Key Laboratory of Pharmaceutical Biotechnology, Division of Immunology, Medical School, Nanjing University, Nanjing, ChinaJiangsu Key Laboratory of Molecular Medicine, Division of Immunology, Medical School, Nanjing University, Nanjing, ChinaGeneral Clinical Research Center, Nanjing First Hospital, Nanjing Medical University, Nanjing, ChinaThe State Key Laboratory of Pharmaceutical Biotechnology, Division of Immunology, Medical School, Nanjing University, Nanjing, ChinaJiangsu Key Laboratory of Molecular Medicine, Division of Immunology, Medical School, Nanjing University, Nanjing, ChinaThe 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.https://www.frontiersin.org/articles/10.3389/fmicb.2023.1231354/fullovarian cancermicrobiometumor microbial2bRAD-Mbacteria |
| spellingShingle | Xiaogang Wang Xiaogang Wang Yaojun Zheng Yaojun Zheng Xiang Chen Xiang Chen Chen Peng Chen Peng Shizhen Zhou Shizhen Zhou Sunan Shen Sunan Shen Shuli Zhao Tingting Wang Tingting Wang 2bRAD-M reveals the difference in microbial distribution between cancerous and benign ovarian tissues Frontiers in Microbiology ovarian cancer microbiome tumor microbial 2bRAD-M bacteria |
| 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 | ovarian cancer microbiome tumor microbial 2bRAD-M bacteria |
| url | https://www.frontiersin.org/articles/10.3389/fmicb.2023.1231354/full |
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