Metagenomics-Based Analysis of the Age-Related Cumulative Effect of Antibiotic Resistance Genes in Gut Microbiota
Antibiotic resistance in bacteria has become a major global health problem. One of the main reservoirs of antibiotic resistance genes is the human gut microbiota. To characterise these genes, a metagenomic approach was used. In this study, a comprehensive antibiotic resistome catalog was established...
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MDPI AG
2021-08-01
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author | Lei Wu Xinqiang Xie Ying Li Tingting Liang Haojie Zhong Jun Ma Lingshuang Yang Juan Yang Longyan Li Yu Xi Haixin Li Jumei Zhang Xuefeng Chen Yu Ding Qingping Wu |
author_facet | Lei Wu Xinqiang Xie Ying Li Tingting Liang Haojie Zhong Jun Ma Lingshuang Yang Juan Yang Longyan Li Yu Xi Haixin Li Jumei Zhang Xuefeng Chen Yu Ding Qingping Wu |
author_sort | Lei Wu |
collection | DOAJ |
description | Antibiotic resistance in bacteria has become a major global health problem. One of the main reservoirs of antibiotic resistance genes is the human gut microbiota. To characterise these genes, a metagenomic approach was used. In this study, a comprehensive antibiotic resistome catalog was established using fecal samples from 246 healthy individuals from world’s longevity township in Jiaoling, China. In total, 606 antibiotic resistance genes were detected. Our results indicated that antibiotic resistance genes in the human gut microbiota accumulate and become more complex with age as older groups harbour the highest abundance of these genes. Tetracycline resistance gene type <i>tetQ</i> was the most abundant group of antibiotic resistance genes in gut microbiota, and the main carrier of antibiotic resistance genes was <i>Bacteroides</i>. Antibiotic efflux, inactivation, and target alteration were found to be the dominant antimicrobial resistance mechanisms. This research may help to establish a comprehensive antibiotic resistance catalog that includes extremely long-lived healthy people such as centenarians, and may provide potential recommendations for controlling the use of antibiotics. |
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institution | Directory Open Access Journal |
issn | 2079-6382 |
language | English |
last_indexed | 2024-03-10T09:03:33Z |
publishDate | 2021-08-01 |
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series | Antibiotics |
spelling | doaj.art-a99a01c95c6b4273a50bd6ee5dc05cfd2023-11-22T06:34:35ZengMDPI AGAntibiotics2079-63822021-08-01108100610.3390/antibiotics10081006Metagenomics-Based Analysis of the Age-Related Cumulative Effect of Antibiotic Resistance Genes in Gut MicrobiotaLei Wu0Xinqiang Xie1Ying Li2Tingting Liang3Haojie Zhong4Jun Ma5Lingshuang Yang6Juan Yang7Longyan Li8Yu Xi9Haixin Li10Jumei Zhang11Xuefeng Chen12Yu Ding13Qingping Wu14School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, ChinaGuangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, ChinaGuangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, ChinaSchool of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, ChinaThe First Affiliated Hospital, School of Clinical Medicine of Guangdong Pharmaceutical University, Guangzhou 510080, ChinaSchool of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, ChinaGuangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, ChinaSchool of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, ChinaGuangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, ChinaGuangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, ChinaGuangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, ChinaGuangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, ChinaSchool of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, ChinaDepartment of Food Science and Technology, Institute of Food Safety and Nutrition, Jinan University, Guangzhou 510632, ChinaGuangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, ChinaAntibiotic resistance in bacteria has become a major global health problem. One of the main reservoirs of antibiotic resistance genes is the human gut microbiota. To characterise these genes, a metagenomic approach was used. In this study, a comprehensive antibiotic resistome catalog was established using fecal samples from 246 healthy individuals from world’s longevity township in Jiaoling, China. In total, 606 antibiotic resistance genes were detected. Our results indicated that antibiotic resistance genes in the human gut microbiota accumulate and become more complex with age as older groups harbour the highest abundance of these genes. Tetracycline resistance gene type <i>tetQ</i> was the most abundant group of antibiotic resistance genes in gut microbiota, and the main carrier of antibiotic resistance genes was <i>Bacteroides</i>. Antibiotic efflux, inactivation, and target alteration were found to be the dominant antimicrobial resistance mechanisms. This research may help to establish a comprehensive antibiotic resistance catalog that includes extremely long-lived healthy people such as centenarians, and may provide potential recommendations for controlling the use of antibiotics.https://www.mdpi.com/2079-6382/10/8/1006metagenomicsgut microbiotaantibiotic resistance geneslongevity peoplecumulative effect |
spellingShingle | Lei Wu Xinqiang Xie Ying Li Tingting Liang Haojie Zhong Jun Ma Lingshuang Yang Juan Yang Longyan Li Yu Xi Haixin Li Jumei Zhang Xuefeng Chen Yu Ding Qingping Wu Metagenomics-Based Analysis of the Age-Related Cumulative Effect of Antibiotic Resistance Genes in Gut Microbiota Antibiotics metagenomics gut microbiota antibiotic resistance genes longevity people cumulative effect |
title | Metagenomics-Based Analysis of the Age-Related Cumulative Effect of Antibiotic Resistance Genes in Gut Microbiota |
title_full | Metagenomics-Based Analysis of the Age-Related Cumulative Effect of Antibiotic Resistance Genes in Gut Microbiota |
title_fullStr | Metagenomics-Based Analysis of the Age-Related Cumulative Effect of Antibiotic Resistance Genes in Gut Microbiota |
title_full_unstemmed | Metagenomics-Based Analysis of the Age-Related Cumulative Effect of Antibiotic Resistance Genes in Gut Microbiota |
title_short | Metagenomics-Based Analysis of the Age-Related Cumulative Effect of Antibiotic Resistance Genes in Gut Microbiota |
title_sort | metagenomics based analysis of the age related cumulative effect of antibiotic resistance genes in gut microbiota |
topic | metagenomics gut microbiota antibiotic resistance genes longevity people cumulative effect |
url | https://www.mdpi.com/2079-6382/10/8/1006 |
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