Quantifying Spatial AMR Patterns across Urban and Rural Landscapes

量化城乡景观的空间 AMR 模式

• 批准号: NE/N019776/1
• 负责人: Charles Knapp
• 金额: $ 13.23万
• 依托单位: University of Strathclyde
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2016
• 资助国家: 英国
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FN019776%2F1
• 关键词: Quantifying; Spatial; AMR; Patterns; across

Antimicrobial resistance is increasing in nature and threatens the effectiveness of our drug therapies and infection control. However, it remains difficult to distinguish what originates from human activities or what is natural. Therefore, we must extend the scale and depth monitoring efforts to better understand what is driving the increases in resistance traits. This project will use two collections of previously characterised soils to compare and contrast distributions of AR genes under widely varying conditions, ranging from urban, agriculture, legacy mining, and pristine rural environments. The project will utilise DNA extractions and new genetic technology to quantify over 230 AR genes in the samples. Soil inventories provide us well-characterised soils and the wealth of information that describes both the soils and the impacts at source locations.The project will generate an astonishing 120,000 AR-related data points (400 locations x 300 genes), each with extended background information on environmental conditions-creating among the largest geographic representation of AR gene distribution across landscapes ever created; sufficiently detailed to make cross-cutting observations of landscape effects on acquired vs innate AR levels. With advanced multi-parametric statistics, we will relate specific environmental conditions and factors with observed AR genes levels in soils to identify risk factors associated resistance development and impacts on human and agricultural health.

抗生素耐药性本质上正在增加，并威胁到我们药物治疗和感染控制的有效性。然而，仍然很难区分什么源于人类活动，什么是自然。因此，我们必须扩大监测工作的规模和深度，以更好地了解是什么推动了抗性性状的增加。该项目将使用两个先前表征的土壤集合来比较和对比 AR 基因在各种不同条件下的分布，包括城市、农业、遗留采矿和原始农村环境。该项目将利用 DNA 提取和新的基因技术来量化样本中 230 多个 AR 基因。土壤清单为我们提供了详细描述的土壤以及描述土壤和源位置影响的丰富信息。该项目将生成惊人的 120,000 个 AR 相关数据点（400 个位置 x 300 个基因），每个数据点都包含有关环境条件的扩展背景信息 - 创造有史以来跨景观的 AR 基因分布的最大地理代表性；足够详细，可以对景观对后天 AR 水平和先天 AR 水平的影响进行横切观察。通过先进的多参数统计，我们将特定的环境条件和因素与土壤中观察到的 AR 基因水平联系起来，以确定与抗性发展相关的风险因素以及对人类和农业健康的影响。

项目成果

Antibiotic resistance genes in natural environments and long-term exposures

自然环境和长期暴露中的抗生素抗性基因

• 发表时间: 2017
• 作者: McCluskey S

Genetic sequencing detected the SARS-CoV-2 delta variant in wastewater a month prior to the first COVID-19 case in Ahmedabad (India).

• DOI: 10.1016/j.envpol.2022.119757
• 发表时间: 2022-10-01
• 期刊: ENVIRONMENTAL POLLUTION
• 影响因子: 8.9
• 作者: Joshi, Madhvi;Kumar, Manish;Srivastava, Vaibhav;Kumar, Dinesh;Rathore, Dalip Singh;Pandit, Ramesh;Graham, David W.;Joshi, Chaitanya G.
• 通讯作者: Joshi, Chaitanya G.

Antibiotic resistance patterns in soils across the Scottish landscape

• DOI: 10.1038/s43247-023-01057-0
• 发表时间: 2023-11
• 期刊: Communications Earth & Environment
• 作者: E. Pagaling;Rupert Hough;Lisa Avery;Lucinda Robinson;Thomas Freitag;Malcolm Coull;Xinyuan Zhou;Jian-Qiang Su;Tatyana Peshkur;Yong-Guan Zhu;David W. Graham;Charles W. Knapp

High Prevalence and Factors Associated With the Distribution of the Integron intI1 and intI2 Genes in Scottish Cattle Herds.

• DOI: 10.3389/fvets.2021.755833
• 发表时间: 2021
• 期刊: Frontiers in veterinary science
• 影响因子: 3.2
• 作者: Fernández Rivas C;Porphyre T;Chase-Topping ME;Knapp CW;Williamson H;Barraud O;Tongue SC;Silva N;Currie C;Elsby DT;Hoyle DV
• 通讯作者: Hoyle DV

The use of minimum selectable concentrations (MSCs) for determining the selection of antimicrobial resistant bacteria.

• DOI: 10.1007/s10646-017-1762-y
• 发表时间: 2017-03
• 期刊: Ecotoxicology (London, England)
• 作者: Khan S;Beattie TK;Knapp CW
• 通讯作者: Knapp CW