• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

印度家庭的微生物景观:城市居住空间中的微生物多样性、病原体及抗菌耐药基因组

Microbial landscape of Indian homes: the microbial diversity, pathogens and antimicrobial resistome in urban residential spaces.

作者信息

Awasthi Saraswati, Hiremath Vikas M, Nain Sonam, Malik Shweta, Srinivasan Vanita, Rose Pooja, Choudhury Ashutosh, Grover Ritika, Sharma Rakesh

机构信息

CSIR-Institute of Genomics and Integrative Biology, New Delhi, India.

Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India.

出版信息

Environ Microbiome. 2025 Feb 25;20(1):25. doi: 10.1186/s40793-025-00684-8.

DOI:10.1186/s40793-025-00684-8
PMID:40001165
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11863970/
Abstract

BACKGROUND

Urban dwellings serve as complex and diverse microbial community niches. Interactions and impact of house microbiome on the health of the inhabitants need to be clearly defined. Therefore, it is critical to understand the diversity of the house microbiota, the presence and abundance of potential pathogens, and antimicrobial resistance.

RESULTS

Shotgun metagenomics was used to analyze the samples collected from 9 locations in 10 houses in New Delhi, India. The microbiota includes more than 1409 bacterial, 5 fungal, and 474 viral species en masse. The most prevalent bacterial species were Moraxella osloensis, Paracoccus marcusii, Microbacterium aurum, Qipengyuania sp YIMB01966, and Paracoccus sphaerophysae, which were detected in at least 80 samples. The location was the primary factor influencing the microbiome diversity in the Indian houses. The overall diversity of different houses did not differ significantly from each other. The surface type influenced the microbial community, but the microbial diversity on the cemented and tiled floors did not vary significantly. A substantial fraction of the bacterial species were potentially pathogenic or opportunistic pathogens, including the ESKAPE pathogens. Escherichia coli was relatively more abundant in bedroom, foyer, and drawing room locations. Analysis of the house microbiome antimicrobial resistome revealed 669 subtypes representing 22 categories of antimicrobial resistance genes, with multidrug resistance genes being the most abundant, followed by aminoglycoside genes.

CONCLUSIONS

This study provides the first insight into the microbiomes of houses in New Delhi, showing that these houses have diverse microbiomes and that the location within the house significantly influences the microbiota. The presence of potential pathogens and a repertoire of antimicrobial resistance genes reflect possible health risks, as these could lead to infectious disease transmission. This study builds a framework for understanding the microbial diversity of houses in terms of geographical location, environment, building design, cleaning habits, and impact on the health of occupants.

摘要

背景

城市住宅是复杂多样的微生物群落生态位。房屋微生物群对居民健康的相互作用和影响需要明确界定。因此,了解房屋微生物群的多样性、潜在病原体的存在和丰度以及抗菌药物耐药性至关重要。

结果

采用鸟枪法宏基因组学分析了从印度新德里10所房屋的9个位置采集的样本。微生物群总共包括1409多种细菌、5种真菌和474种病毒。最常见的细菌物种是奥斯陆莫拉菌、马氏副球菌、金色微杆菌、YIMB01966奇彭元菌属和球形副球菌,至少在80个样本中检测到。位置是影响印度房屋微生物群多样性的主要因素。不同房屋的总体多样性彼此之间没有显著差异。表面类型影响微生物群落,但水泥地面和瓷砖地面上的微生物多样性没有显著差异。相当一部分细菌物种是潜在病原体或机会性病原体,包括ESKAPE病原体。大肠杆菌在卧室、门厅和客厅位置相对更为丰富。对房屋微生物群抗菌药物耐药组的分析揭示了代表22类抗菌药物耐药基因的669个亚型,其中多药耐药基因最为丰富,其次是氨基糖苷类基因。

结论

本研究首次深入了解了新德里房屋的微生物群,表明这些房屋具有多样的微生物群,并且房屋内的位置对微生物群有显著影响。潜在病原体的存在和一系列抗菌药物耐药基因反映了可能的健康风险,因为这些可能导致传染病传播。本研究建立了一个框架,用于从地理位置、环境、建筑设计、清洁习惯以及对居住者健康的影响等方面理解房屋的微生物多样性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a630/11863970/d355ed158547/40793_2025_684_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a630/11863970/0ecd03e0d2ad/40793_2025_684_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a630/11863970/7d38d943c07f/40793_2025_684_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a630/11863970/a79c782c7f28/40793_2025_684_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a630/11863970/fb0bbf19452e/40793_2025_684_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a630/11863970/a29f3ded77f6/40793_2025_684_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a630/11863970/369f4070c814/40793_2025_684_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a630/11863970/530ad7482173/40793_2025_684_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a630/11863970/d355ed158547/40793_2025_684_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a630/11863970/0ecd03e0d2ad/40793_2025_684_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a630/11863970/7d38d943c07f/40793_2025_684_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a630/11863970/a79c782c7f28/40793_2025_684_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a630/11863970/fb0bbf19452e/40793_2025_684_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a630/11863970/a29f3ded77f6/40793_2025_684_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a630/11863970/369f4070c814/40793_2025_684_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a630/11863970/530ad7482173/40793_2025_684_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a630/11863970/d355ed158547/40793_2025_684_Fig8_HTML.jpg

相似文献

1
Microbial landscape of Indian homes: the microbial diversity, pathogens and antimicrobial resistome in urban residential spaces.印度家庭的微生物景观:城市居住空间中的微生物多样性、病原体及抗菌耐药基因组
Environ Microbiome. 2025 Feb 25;20(1):25. doi: 10.1186/s40793-025-00684-8.
2
Household environment and animal fecal contamination are critical modifiers of the gut microbiome and resistome in young children from rural Nicaragua.家庭环境和动物粪便污染是影响尼加拉瓜农村幼儿肠道微生物组和抗药组的关键因素。
Microbiome. 2023 Sep 15;11(1):207. doi: 10.1186/s40168-023-01636-5.
3
Effects of different laying periods on airborne bacterial diversity and antibiotic resistance genes in layer hen houses.不同产蛋期对蛋鸡舍空气中细菌多样性和抗生素耐药基因的影响。
Int J Hyg Environ Health. 2023 Jun;251:114173. doi: 10.1016/j.ijheh.2023.114173. Epub 2023 Apr 27.
4
In-hospital areas with distinct maintenance and staff/patient traffic have specific microbiome profiles, functions, and resistomes.具有明确维护和人员/患者流量的医院内区域具有特定的微生物组特征、功能和抗药性组。
mSystems. 2024 Aug 20;9(8):e0072624. doi: 10.1128/msystems.00726-24. Epub 2024 Jul 9.
5
Characterization of the human skin resistome and identification of two microbiota cutotypes.人类皮肤耐药组的特征分析及两种微生物组cutotypes 的鉴定。
Microbiome. 2021 Feb 17;9(1):47. doi: 10.1186/s40168-020-00995-7.
6
Gut resistome linked to sexual preference and HIV infection.肠道耐药组与性取向和 HIV 感染有关。
BMC Microbiol. 2024 Jun 8;24(1):201. doi: 10.1186/s12866-024-03335-z.
7
Characterization of the gut microbiome and resistome of Galapagos marine iguanas (Amblyrhynchus cristatus) from uninhabited islands.来自无人居住岛屿的加拉帕戈斯海鬣蜥(Amblyrhynchus cristatus)肠道微生物群和耐药基因组的特征分析。
Anim Microbiome. 2022 Dec 14;4(1):65. doi: 10.1186/s42523-022-00218-4.
8
Exploring animal food microbiomes and resistomes via 16S rRNA gene amplicon sequencing and shotgun metagenomics.通过16S rRNA基因扩增子测序和鸟枪法宏基因组学探索动物食物微生物组和抗性组。
Appl Environ Microbiol. 2025 Feb 19;91(2):e0223024. doi: 10.1128/aem.02230-24. Epub 2025 Jan 22.
9
Comparative assessment of microbiome and resistome of influent and effluent of sewage treatment plant and common effluent treatment plant located in Delhi, India using shotgun approach.采用高通量测序方法对位于印度德里的污水处理厂和综合污水厂进、出水的微生物组和抗性组进行比较评估。
J Environ Manage. 2024 Oct;369:122342. doi: 10.1016/j.jenvman.2024.122342. Epub 2024 Sep 3.
10
Microbial Tracking-2, a metagenomics analysis of bacteria and fungi onboard the International Space Station.微生物追踪-2,对国际空间站上的细菌和真菌进行的宏基因组分析。
Microbiome. 2022 Jun 29;10(1):100. doi: 10.1186/s40168-022-01293-0.

引用本文的文献

1
Occupants and surface types drive microbial dynamics in controlled indoor environments.居住者和表面类型驱动着受控室内环境中的微生物动态变化。
Environ Microbiome. 2025 Sep 1;20(1):114. doi: 10.1186/s40793-025-00775-6.

本文引用的文献

1
An expanded database and analytical toolkit for identifying bacterial virulence factors and their associations with chronic diseases.一个用于识别细菌毒力因子及其与慢性疾病关联的扩展数据库和分析工具包。
Nat Commun. 2024 Sep 15;15(1):8084. doi: 10.1038/s41467-024-51864-y.
2
Multigroup analysis of compositions of microbiomes with covariate adjustments and repeated measures.多群组分析带有协变量调整和重复测量的微生物组组成。
Nat Methods. 2024 Jan;21(1):83-91. doi: 10.1038/s41592-023-02092-7. Epub 2023 Dec 29.
3
Household environment and animal fecal contamination are critical modifiers of the gut microbiome and resistome in young children from rural Nicaragua.
家庭环境和动物粪便污染是影响尼加拉瓜农村幼儿肠道微生物组和抗药组的关键因素。
Microbiome. 2023 Sep 15;11(1):207. doi: 10.1186/s40168-023-01636-5.
4
Indoor Bacterial and Fungal Burden in "Moldy" versus "Non-Moldy" Homes: A Case Study Employing Advanced Sequencing Techniques in a US Metropolitan Area.“发霉”与“未发霉”房屋中的室内细菌和真菌负荷:一项在美国大都市地区采用先进测序技术的案例研究。
Pathogens. 2023 Aug 1;12(8):1006. doi: 10.3390/pathogens12081006.
5
Human microbiome transfer in the built environment differs based on occupants, objects, and buildings.人类微生物组在建筑环境中的转移取决于居住者、物体和建筑物。
Sci Rep. 2023 Apr 20;13(1):6446. doi: 10.1038/s41598-023-33719-6.
6
Extending and improving metagenomic taxonomic profiling with uncharacterized species using MetaPhlAn 4.利用 MetaPhlAn 4 对未鉴定物种进行宏基因组分类分析的扩展和改进。
Nat Biotechnol. 2023 Nov;41(11):1633-1644. doi: 10.1038/s41587-023-01688-w. Epub 2023 Feb 23.
7
Developing resilience against the threat of infectious diseases and anti-microbial resistance: Putting targeted hygiene into practice in home and everyday lives.培养抵御传染病威胁和抗微生物药物耐药性的适应能力:将有针对性的卫生措施落实到家庭和日常生活中。
Public Health Pract (Oxf). 2023 Jun;5:100362. doi: 10.1016/j.puhip.2023.100362. Epub 2023 Jan 23.
8
The Microbiome of the Built Environment: The Nexus for Urban Regeneration for the Cities of Tomorrow.建筑环境中的微生物组:未来城市城市更新的关键环节。
Microorganisms. 2022 Nov 22;10(12):2311. doi: 10.3390/microorganisms10122311.
9
Environmental factors shaping the gut microbiome in a Dutch population.塑造荷兰人群肠道微生物群的环境因素
Nature. 2022 Apr;604(7907):732-739. doi: 10.1038/s41586-022-04567-7. Epub 2022 Apr 13.
10
Distribution of antibiotic resistance genes in the environment.抗生素抗性基因在环境中的分布。
Environ Pollut. 2021 Sep 15;285:117402. doi: 10.1016/j.envpol.2021.117402. Epub 2021 May 19.