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https://elib.bsu.by/handle/123456789/322905
Заглавие документа: | A database on the abundance of environmental antibiotic resistance genes |
Авторы: | Xu, W. Pan, Z. Wu, Y. An, X.-L. Wang, W. Adamovich, B. Zhu, Y.-G. Su, J.-Q. Huang, Q. |
Тема: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Биология ЭБ БГУ::МЕЖОТРАСЛЕВЫЕ ПРОБЛЕМЫ::Охрана окружающей среды. Экология человека |
Дата публикации: | 2024 |
Издатель: | Nature Research |
Библиографическое описание источника: | Scientific Data 2024;11(1):250 |
Аннотация: | Antimicrobial resistance (AMR) poses a severe threat to global health. The wide distribution of environmental antibiotic resistance genes (ARGs), which can be transferred between microbiota, especially clinical pathogens and human commensals, contributed significantly to AMR. However, few databases on the spatiotemporal distribution, abundance, and health risk of ARGs from multiple environments have been developed, especially on the absolute level. In this study, we compiled the ARG occurrence data generated by a high-throughput quantitative PCR platform from 1,403 samples in 653 sampling sites across 18 provinces in China. The database possessed 291,870 records from five types of habitats on the abundance of 290 ARGs, as well as 8,057 records on the abundance of 30 mobile genetic elements (MGEs) from 2013 to 2020. These ARGs conferred resistance to major common types of antibiotics (a total of 15 types) and represented five major resistance mechanisms, as well as four risk ranks. The database can provide information for studies on the dynamics of ARGs and is useful for the health risk assessment of AM |
URI документа: | https://elib.bsu.by/handle/123456789/322905 |
DOI документа: | 10.1038/s41597-024-03084-8 |
Scopus идентификатор документа: | 85186416438 |
Финансовая поддержка: | We would like to acknowledge the help of Hong Chen for providing parts of the data. This work was supported by The International Partnership Program of Chinese Academy of Sciences (132C35KYSB20200012), the Informatization Plan of Chinese Academy of Sciences (CAS-WX2021SF-0302), National Natural Science Foundation of China (32161143016, 42177362, 42250410328), National Basic Science Data Center “Environment Health DataBase” (NO. NBSDC-DB-21), and Belarusian Republican Foundation for Fundamental Research and Ministry of Education of the Republic of Belarus (GPNI GR no. 20212317). |
Лицензия: | info:eu-repo/semantics/openAccess |
Располагается в коллекциях: | Статьи биологического факультета |
Полный текст документа:
Файл | Описание | Размер | Формат | |
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s41597-024-03084-8.pdf | 2,02 MB | Adobe PDF | Открыть |
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