Cargando…
A potential marker of radiation based on 16S rDNA in the rat model: Intestinal flora
The gastrointestinal microbiota plays an important role in the function of the host intestine. However, little is currently known about the effects of irradiation on the microorganisms colonizing the mucosal surfaces of the gastrointestinal tract. The aim of this study was to investigate the effects...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10393172/ https://www.ncbi.nlm.nih.gov/pubmed/37527262 http://dx.doi.org/10.1371/journal.pone.0286026 |
_version_ | 1785083109923880960 |
---|---|
author | Zhang, Liying Miao, Zhiming Li, Yangyang Xu, Xiaomin Zhou, Ting Zhang, Yiming Liu, Yongqi |
author_facet | Zhang, Liying Miao, Zhiming Li, Yangyang Xu, Xiaomin Zhou, Ting Zhang, Yiming Liu, Yongqi |
author_sort | Zhang, Liying |
collection | PubMed |
description | The gastrointestinal microbiota plays an important role in the function of the host intestine. However, little is currently known about the effects of irradiation on the microorganisms colonizing the mucosal surfaces of the gastrointestinal tract. The aim of this study was to investigate the effects of X-ray irradiation on the compositions of the large intestinal Microbiotas of the rat. The gut microbiotas in control mice and mice receiving irradiation with different dose treatment were characterized by high-throughput sequencing of the bacterial 16S rDNA gene and their metabolites were detected by gas chromatography-mass spectrometry. Unexpectedly, the diversity was increased mildly at 2Gy irradiation, and dose dependent decreased at 4Gy, 6Gy, 8Gy irradiation. The phyla with large changes in phylum level are Firmicutes, Bacteroides and Proteobacteria; the abundance ratio of Firmicutes/Bacteroides is inverted; and when 8Gy is irradiated, the phylum abundance level was significantly increased. At the genus level, the abundance levels of Phascolarctobacterium, Ruminococcaceae and Lachnospiraceae increased at 2Gy irradiation, and significantly decreased at 4Gy, 6Gy, and 8Gy irradiation; the abundance level of Prevotellaceae diminished at 2Gy irradiation, and enhanced at 4Gy, 6Gy, 8Gy irradiation; The abundance level of Violet bacteria (Christenellaceae) and Lactobacillus attenuated in a dose-dependent manner; Lachnoclostridium enhanced in a dose-dependent manner; Bacteroides was in 4Gy, 6Gy, 8Gy The abundance level increased significantly during irradiation; the abundance level of Shigella (Escherichia-Shigella) only increased significantly during 8Gy irradiation. Lefse predicts that the biomarker at 0Gy group is Veillonellaceae, the biomarker at 2Gy group is Firmicutes, the biomarkers at 4Gy group are Dehalobacterium and Dehalobacteriaceae, the biomarkers at 6Gy group are Odoribacter, and the biomarkers at 8Gy group are Anaerotruncus, Holdemania, Proteus, Bilophila, Desufovibrionales and Deltaproteobacteria. Overall, the data presented here reveal that X-ray irradiation can cause imbalance of the intestinal flora in rats; different doses of irradiation can cause different types of bacteria change. Representative bacteria can be selected as biomarkers for radiation damage and repair.This may contribute to the development of radiation resistance in the future. |
format | Online Article Text |
id | pubmed-10393172 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-103931722023-08-02 A potential marker of radiation based on 16S rDNA in the rat model: Intestinal flora Zhang, Liying Miao, Zhiming Li, Yangyang Xu, Xiaomin Zhou, Ting Zhang, Yiming Liu, Yongqi PLoS One Research Article The gastrointestinal microbiota plays an important role in the function of the host intestine. However, little is currently known about the effects of irradiation on the microorganisms colonizing the mucosal surfaces of the gastrointestinal tract. The aim of this study was to investigate the effects of X-ray irradiation on the compositions of the large intestinal Microbiotas of the rat. The gut microbiotas in control mice and mice receiving irradiation with different dose treatment were characterized by high-throughput sequencing of the bacterial 16S rDNA gene and their metabolites were detected by gas chromatography-mass spectrometry. Unexpectedly, the diversity was increased mildly at 2Gy irradiation, and dose dependent decreased at 4Gy, 6Gy, 8Gy irradiation. The phyla with large changes in phylum level are Firmicutes, Bacteroides and Proteobacteria; the abundance ratio of Firmicutes/Bacteroides is inverted; and when 8Gy is irradiated, the phylum abundance level was significantly increased. At the genus level, the abundance levels of Phascolarctobacterium, Ruminococcaceae and Lachnospiraceae increased at 2Gy irradiation, and significantly decreased at 4Gy, 6Gy, and 8Gy irradiation; the abundance level of Prevotellaceae diminished at 2Gy irradiation, and enhanced at 4Gy, 6Gy, 8Gy irradiation; The abundance level of Violet bacteria (Christenellaceae) and Lactobacillus attenuated in a dose-dependent manner; Lachnoclostridium enhanced in a dose-dependent manner; Bacteroides was in 4Gy, 6Gy, 8Gy The abundance level increased significantly during irradiation; the abundance level of Shigella (Escherichia-Shigella) only increased significantly during 8Gy irradiation. Lefse predicts that the biomarker at 0Gy group is Veillonellaceae, the biomarker at 2Gy group is Firmicutes, the biomarkers at 4Gy group are Dehalobacterium and Dehalobacteriaceae, the biomarkers at 6Gy group are Odoribacter, and the biomarkers at 8Gy group are Anaerotruncus, Holdemania, Proteus, Bilophila, Desufovibrionales and Deltaproteobacteria. Overall, the data presented here reveal that X-ray irradiation can cause imbalance of the intestinal flora in rats; different doses of irradiation can cause different types of bacteria change. Representative bacteria can be selected as biomarkers for radiation damage and repair.This may contribute to the development of radiation resistance in the future. Public Library of Science 2023-08-01 /pmc/articles/PMC10393172/ /pubmed/37527262 http://dx.doi.org/10.1371/journal.pone.0286026 Text en © 2023 Zhang et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Zhang, Liying Miao, Zhiming Li, Yangyang Xu, Xiaomin Zhou, Ting Zhang, Yiming Liu, Yongqi A potential marker of radiation based on 16S rDNA in the rat model: Intestinal flora |
title | A potential marker of radiation based on 16S rDNA in the rat model: Intestinal flora |
title_full | A potential marker of radiation based on 16S rDNA in the rat model: Intestinal flora |
title_fullStr | A potential marker of radiation based on 16S rDNA in the rat model: Intestinal flora |
title_full_unstemmed | A potential marker of radiation based on 16S rDNA in the rat model: Intestinal flora |
title_short | A potential marker of radiation based on 16S rDNA in the rat model: Intestinal flora |
title_sort | potential marker of radiation based on 16s rdna in the rat model: intestinal flora |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10393172/ https://www.ncbi.nlm.nih.gov/pubmed/37527262 http://dx.doi.org/10.1371/journal.pone.0286026 |
work_keys_str_mv | AT zhangliying apotentialmarkerofradiationbasedon16srdnaintheratmodelintestinalflora AT miaozhiming apotentialmarkerofradiationbasedon16srdnaintheratmodelintestinalflora AT liyangyang apotentialmarkerofradiationbasedon16srdnaintheratmodelintestinalflora AT xuxiaomin apotentialmarkerofradiationbasedon16srdnaintheratmodelintestinalflora AT zhouting apotentialmarkerofradiationbasedon16srdnaintheratmodelintestinalflora AT zhangyiming apotentialmarkerofradiationbasedon16srdnaintheratmodelintestinalflora AT liuyongqi apotentialmarkerofradiationbasedon16srdnaintheratmodelintestinalflora AT zhangliying potentialmarkerofradiationbasedon16srdnaintheratmodelintestinalflora AT miaozhiming potentialmarkerofradiationbasedon16srdnaintheratmodelintestinalflora AT liyangyang potentialmarkerofradiationbasedon16srdnaintheratmodelintestinalflora AT xuxiaomin potentialmarkerofradiationbasedon16srdnaintheratmodelintestinalflora AT zhouting potentialmarkerofradiationbasedon16srdnaintheratmodelintestinalflora AT zhangyiming potentialmarkerofradiationbasedon16srdnaintheratmodelintestinalflora AT liuyongqi potentialmarkerofradiationbasedon16srdnaintheratmodelintestinalflora |